From 1698f105bbcc75e85499aca58db83944bf6af822 Mon Sep 17 00:00:00 2001 From: hgp297 Date: Thu, 19 Mar 2026 11:21:02 -0700 Subject: [PATCH 01/10] Condensed input.json to general_inputs.json - Removed input.json. Users are now asked to migrate their settings manually to general_inputs.json. This currently amounts to about 3-4 fields. - input_builder.py now points to general_inputs.json only --- .../RCSW_4story_pelicun/general_inputs.json | 6 +- examples/RCSW_4story_pelicun/input.json | 279 ------------------ src/atc138/input_builder.py | 19 +- 3 files changed, 11 insertions(+), 293 deletions(-) delete mode 100644 examples/RCSW_4story_pelicun/input.json diff --git a/examples/RCSW_4story_pelicun/general_inputs.json b/examples/RCSW_4story_pelicun/general_inputs.json index fbc9922..fd3cd2f 100644 --- a/examples/RCSW_4story_pelicun/general_inputs.json +++ b/examples/RCSW_4story_pelicun/general_inputs.json @@ -5,5 +5,9 @@ "length_side_1_ft": 120, "length_side_2_ft": 120, "peak_occ_rate": 0.0031, - "engineering_cost_ratio": 0.10 + "engineering_cost_ratio": 0.10, + "number_of_stories": 4, + "replacement_cost_median": 6912000, + "replacement_cost_unit": "USD_2011", + "plan_area_ft2": 14400 } \ No newline at end of file diff --git a/examples/RCSW_4story_pelicun/input.json b/examples/RCSW_4story_pelicun/input.json deleted file mode 100644 index 600937f..0000000 --- a/examples/RCSW_4story_pelicun/input.json +++ /dev/null @@ -1,279 +0,0 @@ -{ - "Applications": { - "DL": { - "Application": "Pelicun3", - "ApplicationData": { - } - }, - "EDP": { - "Application": "StandardEarthquakeEDP", - "ApplicationData": { - } - }, - "Events": [ - { - "Application": "StochasticGroundMotion", - "ApplicationData": { - "modelName": "VlachosSiteSpecificEQ", - "seed": "RV.StochasticSeed" - }, - "EventClassification": "Earthquake" - } - ], - "Modeling": { - "Application": "MDOF_BuildingModel", - "ApplicationData": { - } - }, - "Performance": { - "Application": "None", - "ApplicationData": { - } - }, - "Simulation": { - "Application": "OpenSees-Simulation", - "ApplicationData": { - } - }, - "UQ": { - "Application": "Dakota-UQ", - "ApplicationData": { - } - } - }, - "DL": { - "Asset": { - "ComponentAssignmentFile": "{Current_Dir}/CMP_QNT.csv", - "ComponentDatabase": "FEMA P-58", - "ComponentDatabasePath": "{Current_Dir}/custom_component_fragilities.csv", - "NumberOfStories": "4", - "OccupancyType": "Commercial Office", - "PlanArea": "14400" - }, - "Damage": { - "DamageProcess": "FEMA P-58", - "IrreparableDamage": { - "DriftCapacityLogStd": "0.3", - "DriftCapacityMedian": "0.01" - } - }, - "Demands": { - "Calibration": { - "ALL": { - "DistributionFamily": "lognormal" - } - }, - "DemandFilePath": "{Current_Dir}/example_edp.csv", - "InferResidualDrift": { - "1": "0.005", - "2": "0.005", - "method": "FEMA P-58" - }, - "SampleSize": "500" - }, - "Losses": { - "Repair": { - "ConsequenceDatabase": "FEMA P-58", - "DecisionVariables": { - "Carbon": false, - "Cost": true, - "Energy": false, - "Time": true - }, - "MapApproach": "Automatic", - "ReplacementCost": { - "Median": "6912000", - "Unit": "USD_2011" - }, - "ReplacementTime": { - "Median": "720", - "Unit": "worker_day" - } - } - }, - "Outputs": { - "Asset": { - "Sample": true, - "Statistics": true - }, - "Damage": { - "GroupedSample": true, - "GroupedStatistics": true, - "Sample": true, - "Statistics": true - }, - "Demand": { - "Sample": true, - "Statistics": true - }, - "Format": { - "CSV": true, - "JSON": false - }, - "Loss": { - "Repair": { - "AggregateSample": true, - "AggregateStatistics": true, - "GroupedSample": true, - "GroupedStatistics": true, - "Sample": true, - "Statistics": true - } - } - } - }, - "DefaultValues": { - "driverFile": "driver", - "edpFiles": [ - "EDP.json" - ], - "filenameAIM": "AIM.json", - "filenameDL": "AIM.json", - "filenameEDP": "EDP.json", - "filenameEVENT": "EVENT.json", - "filenameSAM": "SAM.json", - "filenameSIM": "SIM.json", - "rvFiles": [ - "AIM.json", - "SAM.json", - "EVENT.json", - "SIM.json" - ], - "workflowInput": "scInput.json", - "workflowOutput": "EDP.json" - }, - "EDP": { - }, - "Events": [ - { - "EventClassification": "Earthquake", - "modelName": "Vlachos et al. (2018)", - "momentMagnitude": 7, - "protectModel": true, - "ruptureDist": 40, - "seed": "RV.StochasticSeed", - "type": "StochasticMotion", - "vs30": 500 - } - ], - "GeneralInformation": { - "NumberOfStories": 4, - "PlanArea": 14400, - "StructureType": "RM1", - "YearBuilt": 1990, - "depth": 150, - "height": 12, - "location": { - "latitude": 37.426, - "longitude": -122.171 - }, - "name": "", - "planArea": 14400, - "stories": 4, - "units": { - "force": "kips", - "length": "ft", - "temperature": "C", - "time": "sec" - }, - "width": 144 - }, - "Modeling": { - "Bx": 0.1, - "By": 0.1, - "Fyx": 1000000, - "Fyy": 1000000, - "Krz": 10000000000, - "Kx": 100, - "Ky": 100, - "ModelData": [ - { - "Fyx": 1000000, - "Fyy": 1000000, - "Ktheta": 10000000000, - "bx": 0.1, - "by": 0.1, - "height": 3, - "kx": 100, - "ky": 100, - "weight": 144 - }, - { - "Fyx": 1000000, - "Fyy": 1000000, - "Ktheta": 10000000000, - "bx": 0.1, - "by": 0.1, - "height": 3, - "kx": 100, - "ky": 100, - "weight": 144 - }, - { - "Fyx": 1000000, - "Fyy": 1000000, - "Ktheta": 10000000000, - "bx": 0.1, - "by": 0.1, - "height": 3, - "kx": 100, - "ky": 100, - "weight": 144 - }, - { - "Fyx": 1000000, - "Fyy": 1000000, - "Ktheta": 10000000000, - "bx": 0.1, - "by": 0.1, - "height": 3, - "kx": 100, - "ky": 100, - "weight": 144 - } - ], - "dampingRatio": 0.02, - "height": 3, - "massX": 0, - "massY": 0, - "numStories": 4, - "randomVar": [ - ], - "responseX": 0, - "responseY": 0, - "type": "MDOF_BuildingModel", - "weight": 144 - }, - "Performance": { - }, - "Simulation": { - "Application": "OpenSees-Simulation", - "algorithm": "Newton", - "analysis": "Transient -numSubLevels 2 -numSubSteps 10", - "convergenceTest": "NormUnbalance 1.0e-2 10", - "dampingModel": "Rayleigh Damping", - "firstMode": 1, - "integration": "Newmark 0.5 0.25", - "modalRayleighTangentRatio": 0, - "numModesModal": 1, - "rayleighTangent": "Initial", - "secondMode": 0, - "solver": "Umfpack" - }, - "UQ": { - "parallelExecution": true, - "samplingMethodData": { - "method": "Monte Carlo", - "samples": 500, - "seed": 985 - }, - "saveWorkDir": true, - "uqType": "Forward Propagation" - }, - "localAppDir": "X:/Documents/ubc_postdoc/teaching/PBE_Windows_Download/PBE_Windows_Download", - "randomVariables": [ - ], - "remoteAppDir": "X:/Documents/ubc_postdoc/teaching/PBE_Windows_Download/PBE_Windows_Download", - "runType": "runningLocal", - "workingDir": "{Current_Dir}/C:/Users/giraf/Documents/PBE/LocalWorkDir" -} diff --git a/src/atc138/input_builder.py b/src/atc138/input_builder.py index b3489b6..1be8eed 100644 --- a/src/atc138/input_builder.py +++ b/src/atc138/input_builder.py @@ -577,23 +577,11 @@ def convert_pelicun(model_dir): - DL_summary.csv: summary of damage and loss, to read in irreparable cases - DMG_sample.csv: damage sample of all realizations - DV_repair_sample.csv: decision variable sample of all realizations - - general_inputs.json: egress, occupancy, dimensions - - input.json: JSON file with number of stories, replacement cost, plan area + - general_inputs.json: egress, occupancy, dimensions, number of stories, replacement cost, plan area ''' from copy import deepcopy - with open(os.path.join(model_dir, 'input.json')) as file: - pelicun_inputs = json.load(file) - - ############ Pull basic model info from Pelicun Inputs - num_stories = int(pelicun_inputs['DL']['Asset']['NumberOfStories']) - if 'Repair' in pelicun_inputs['DL']['Losses']: - total_cost = float(pelicun_inputs['DL']['Losses']['Repair']['ReplacementCost']['Median']) - else: - total_cost = float(pelicun_inputs['DL']['Losses']['BldgRepair']['ReplacementCost']['Median']) - plan_area = float(pelicun_inputs['DL']['Asset']['PlanArea']) - ########### Load Pelicun files # pull components comps = pd.read_csv(os.path.join(model_dir, 'CMP_QNT.csv')) @@ -625,6 +613,11 @@ def convert_pelicun(model_dir): with open(os.path.join(model_dir, 'general_inputs.json')) as file: general_inputs = json.load(file) + ############ Pull basic model info from Pelicun Inputs + num_stories = int(general_inputs['number_of_stories']) + total_cost = float(general_inputs['replacement_cost_median']) + plan_area = float(general_inputs['plan_area_ft2']) + # remove Units row (case insensitive) # the first column is the cmp-loc-dir-ds or dv-loss-dmg-ds-loc-dir indicator damage = damage[~damage.iloc[:,0].astype(str).str.lower().str.contains('unit')] From 68d092daaa6c20e37b1bcc3cd8f9ef602788cec1 Mon Sep 17 00:00:00 2001 From: hgp297 Date: Thu, 19 Mar 2026 11:24:13 -0700 Subject: [PATCH 02/10] doc: updated general_input.json in README --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index d2232af..b346f90 100644 --- a/README.md +++ b/README.md @@ -171,8 +171,7 @@ This conversion module is compatible with PBE Application version ~=4.4 and peli - **DL_summary.csv**: summary of damage and loss, to read in irreparable cases - **DMG_sample.csv**: damage sample of all realizations - **DV_repair_sample.csv**: decision variable sample of all realizations. The legacy name **DV_bldg_repair_sample.csv** is supported as a fallback name. - - **general_inputs.json**: egress, occupancy, dimensions, ratio of engineering cost as a fraction of total repair cost. Number of elevators or stairs per story can also be explicitly specified here if it is desired to override the quantity in CMP_QNT. - - **input.json**: JSON file with number of stories, replacement cost, plan area + - **general_inputs.json**: egress, occupancy, dimensions, ratio of engineering cost as a fraction of total repair cost, number of stories, replacement cost, plan area. Number of elevators or stairs per story can also be explicitly specified here if it is desired to override the quantity in CMP_QNT. - **side_damage_ratio.csv** (optional): CSV of size num_reals x 2, specifies the damage distributed to each side for cladding components. This fraction is constant across the height of the building. Column 1 is the fraction of damaged components in direction 0, side 1. Column 2 is the fraction of damaged components in direction 1, side 1. These should sum up to 0.5. Parallel sides will have the same fraction of damage. If not provided, these ratios will be sampled uniformly for all realizations. Additionally, the following inputs are required similar to the raw build procedure, but are not generated by Pelicun: From 3a9056c01858c2c160b4539a4dcdbe9320873475 Mon Sep 17 00:00:00 2001 From: hgp297 Date: Thu, 19 Mar 2026 11:27:19 -0700 Subject: [PATCH 03/10] Removed plotModel_PBEErecovery.py This file contained legacy plotting usage superseded by main_plot_functionality.py. There are no dependencies to this file. --- plotters/plotModel_PBEErecovery.py | 44 ------------------------------ 1 file changed, 44 deletions(-) delete mode 100644 plotters/plotModel_PBEErecovery.py diff --git a/plotters/plotModel_PBEErecovery.py b/plotters/plotModel_PBEErecovery.py deleted file mode 100644 index 207cf45..0000000 --- a/plotters/plotModel_PBEErecovery.py +++ /dev/null @@ -1,44 +0,0 @@ -def plot_results(outputs_dir, p_gantt=50): - """ - Plot Functional Recovery Plots For a Single Model and Single Intensity - - Parameters - ---------- - output dir: string - Directory of outputs - p_gantt: float - percentile of functional recovery time to plot for the gantt chart - default: 50 = 50th percentile of functional recovery time (median) - - """ - import os - import json - import pandas as pd - - # from plotters import main_plot_functionality - # Plot Functional Recovery Plots For a Single Model and Single Intensity - - ## Define User inputs - - # Load systems information - systems = pd.read_csv(os.path.join(os.path.dirname(__file__), 'src', 'atc138', 'data', 'systems.csv')) - systems = systems['name'] - - # outputs will save to a directory with this name - plot_dir = outputs_dir +'/plots' # Directory where the plots will be saved - - ## Import Packages - from plotters import main_plot_functionality - - ## Load Assessment Output Data - f = open(os.path.join(outputs_dir, 'recovery_outputs.json')) - functionality= json.load(f) - - ## Create plot for single intensity assessment of PBEE Recovery - main_plot_functionality.main_plot_functionality(functionality, plot_dir, p_gantt, systems) - -if __name__ == '__main__': - - model_name = 'ICSB' - - plot_results(model_name) \ No newline at end of file From c1e1b147d7493c47059fbaacd85a49d8ef9b556f Mon Sep 17 00:00:00 2001 From: hgp297 Date: Wed, 25 Mar 2026 16:07:52 -0700 Subject: [PATCH 04/10] chore: removed superfluous import of deepcopy --- src/atc138/input_builder.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/atc138/input_builder.py b/src/atc138/input_builder.py index 1be8eed..747e5ec 100644 --- a/src/atc138/input_builder.py +++ b/src/atc138/input_builder.py @@ -580,8 +580,6 @@ def convert_pelicun(model_dir): - general_inputs.json: egress, occupancy, dimensions, number of stories, replacement cost, plan area ''' - from copy import deepcopy - ########### Load Pelicun files # pull components comps = pd.read_csv(os.path.join(model_dir, 'CMP_QNT.csv')) From cc16b659414fb6ea767ee9f681ee3b92df7cc42c Mon Sep 17 00:00:00 2001 From: hgp297 Date: Thu, 26 Mar 2026 11:04:26 -0700 Subject: [PATCH 05/10] docs: provided README documentation for PR#20 unit conversion --- README.md | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index b346f90..c3afec3 100644 --- a/README.md +++ b/README.md @@ -167,11 +167,14 @@ The csv tables listed below contain default component, damage state, system, and ## Building from Pelicun outputs This conversion module is compatible with PBE Application version ~=4.4 and pelicun~=3.5. To build and rebuild raw ATC-138 input files from Pelicun outputs, ensure that simulated_inputs.json does not currently exist in the model directory. Then, the following Pelicun files are required as input: - - **CMP_QNT.csv**: component sheet - - **DL_summary.csv**: summary of damage and loss, to read in irreparable cases - - **DMG_sample.csv**: damage sample of all realizations - - **DV_repair_sample.csv**: decision variable sample of all realizations. The legacy name **DV_bldg_repair_sample.csv** is supported as a fallback name. - - **general_inputs.json**: egress, occupancy, dimensions, ratio of engineering cost as a fraction of total repair cost, number of stories, replacement cost, plan area. Number of elevators or stairs per story can also be explicitly specified here if it is desired to override the quantity in CMP_QNT. + - **CMP_QNT.csv**: Component sheet, specified in the same manner as Pelicun inputs. + + - _Units_: This module assumes that quantities provided in this sheet represents a physical unit count (e.g. 288 units of SF) and will automatically handle conversion to the P-58 units (e.g. 2 units of 144 SF). That is, `CMP_QNT.csv` should specify that each location-direction contains `Theta_0` amount of `Units` of component. For specialized units where Pelicun (ea) and ATC-138 (kv/amp/ton/cfm) expect different dimensions, the module assumes that the Pelicun value represents a P-58 unit count and will not apply the conversion to P-58 blocks. + + - **DL_summary.csv**: Summary of damage and loss, to read in irreparable cases + - **DMG_sample.csv**: Damage sample of all realizations + - **DV_repair_sample.csv**: Decision variable sample of all realizations. The legacy name **DV_bldg_repair_sample.csv** is supported as a fallback name. + - **general_inputs.json**: Egress, occupancy, dimensions, ratio of engineering cost as a fraction of total repair cost, number of stories, replacement cost, plan area. Number of elevators or stairs per story can also be explicitly specified here if it is desired to override the quantity in CMP_QNT. - **side_damage_ratio.csv** (optional): CSV of size num_reals x 2, specifies the damage distributed to each side for cladding components. This fraction is constant across the height of the building. Column 1 is the fraction of damaged components in direction 0, side 1. Column 2 is the fraction of damaged components in direction 1, side 1. These should sum up to 0.5. Parallel sides will have the same fraction of damage. If not provided, these ratios will be sampled uniformly for all realizations. Additionally, the following inputs are required similar to the raw build procedure, but are not generated by Pelicun: From eb34fb33bf8259823ee87ee847d25c3a561b3bb2 Mon Sep 17 00:00:00 2001 From: hgp297 Date: Thu, 26 Mar 2026 15:45:51 -0700 Subject: [PATCH 06/10] chore: removed stray todo note in README --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index f1bd13d..c884695 100644 --- a/README.md +++ b/README.md @@ -155,8 +155,6 @@ The file(s) listed below contain data that is optional for the assessment. If th The Python file listed below defines additional assessment inputs based on set of default values. Place this file in the input directory of your analysis. - **optional_inputs.json**: Defines default variables for the impedance_options, repair_time_options, functionality_options, and regional_impact variables listed in the inputs schema. - - ### Static Data The csv tables listed below contain default component, damage state, system, and tenant function attributes that can be used to populate the required assessment inputs according to the methodology. These are located in the _data_ directory. To override the static data with custom versions, copy modified sheets and place them in the input directory. - **component_attributes.csv**: Attributes of components in the FEMA P-58 fragility database that are required for the functional recovery assessment. From 805738b5b641af3ea4f0912d3d14979d3cb01a1c Mon Sep 17 00:00:00 2001 From: hgp297 Date: Mon, 30 Mar 2026 14:02:57 -0700 Subject: [PATCH 07/10] fix(input_builder,general_inputs) Bay length - Changed input parameter `typ_struct_bay_area_ft` to `typ_struct_bay_length_ft`. Original MATLAB repo documentation suggests that this is "length of the typical structural bay, centerline to centerline" - Changed the RCSW_4story_pelicun input to reflect this - Supports legacy field `typ_struct_bay_area_ft` with warning --- examples/RCSW_4story_pelicun/general_inputs.json | 2 +- src/atc138/input_builder.py | 9 ++++++--- 2 files changed, 7 insertions(+), 4 deletions(-) diff --git a/examples/RCSW_4story_pelicun/general_inputs.json b/examples/RCSW_4story_pelicun/general_inputs.json index fd3cd2f..e5ac1fd 100644 --- a/examples/RCSW_4story_pelicun/general_inputs.json +++ b/examples/RCSW_4story_pelicun/general_inputs.json @@ -1,6 +1,6 @@ { "num_entry_doors": 2, - "typ_struct_bay_area_ft": 169, + "typ_struct_bay_length_ft": 30.0, "typ_story_ht_ft": 10, "length_side_1_ft": 120, "length_side_2_ft": 120, diff --git a/src/atc138/input_builder.py b/src/atc138/input_builder.py index e856fb3..06d76ea 100644 --- a/src/atc138/input_builder.py +++ b/src/atc138/input_builder.py @@ -699,6 +699,11 @@ def convert_pelicun(model_dir): num_elev = general_inputs['num_elevators'] # construct building_model.json + if 'typ_struct_bay_length_ft' in general_inputs: + struct_bay_len = general_inputs["typ_struct_bay_length_ft"] + else: + struct_bay_len = general_inputs["typ_struct_bay_area_ft"] + building_model = dict( building_value=total_cost, num_stories=num_stories, @@ -708,9 +713,7 @@ def convert_pelicun(model_dir): [general_inputs["length_side_1_ft"]] * num_stories, [general_inputs["length_side_2_ft"]] * num_stories, ], - struct_bay_area_per_story=[ - general_inputs["typ_struct_bay_area_ft"] - ] * num_stories, + struct_bay_area_per_story = [struct_bay_len] * num_stories, num_entry_doors=general_inputs["num_entry_doors"], num_elevators=int(num_elev), stairs_per_story=stairs_per_story, From 6c3fe119c51812ff30178c04fcaa979ee59fb131 Mon Sep 17 00:00:00 2001 From: hgp297 Date: Mon, 30 Mar 2026 14:09:28 -0700 Subject: [PATCH 08/10] fix(input_builder): added struct_bay_area warning --- src/atc138/input_builder.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/atc138/input_builder.py b/src/atc138/input_builder.py index 06d76ea..ecf010b 100644 --- a/src/atc138/input_builder.py +++ b/src/atc138/input_builder.py @@ -702,6 +702,8 @@ def convert_pelicun(model_dir): if 'typ_struct_bay_length_ft' in general_inputs: struct_bay_len = general_inputs["typ_struct_bay_length_ft"] else: + print('Input parameter "typ_struct_bay_length_ft" should be specified with length of structural bay.') + print('Using "typ_struct_bay_area_ft" as a length parameter.') struct_bay_len = general_inputs["typ_struct_bay_area_ft"] building_model = dict( From 844e34ce37fc3bc13b97cf7ddc489739b2a408ed Mon Sep 17 00:00:00 2001 From: hgp297 Date: Mon, 30 Mar 2026 15:27:55 -0700 Subject: [PATCH 09/10] fix(input_builder): Require meta-tag presence - DMG_sample.csv and DV_repair_sample.csv must contain the metatag in the index column. For DMG, at least 'cmp-loc-dir-ds' is required. For DV, loc-dir-ds is required along with one of cmp, loss, or dmg. --- src/atc138/input_builder.py | 23 +++++++++++++++++++++-- 1 file changed, 21 insertions(+), 2 deletions(-) diff --git a/src/atc138/input_builder.py b/src/atc138/input_builder.py index ecf010b..c42a6bd 100644 --- a/src/atc138/input_builder.py +++ b/src/atc138/input_builder.py @@ -543,7 +543,7 @@ def clean_frag_id(frag_id: str) -> str: parts = frag_id.split('.') return '.'.join(["".join(parts[:-1]), parts[-1]]) -def reorder_dv_cols(df, dv_tag_meta, ordered_tags=("dmg","loc","dir","ds")): +def reorder_dv_cols(df, dv_tag_meta, ordered_tags=("loc","dir","ds")): """ Rename columns from dv-loss-dmg-ds-loc-dir -> dmg-loc-dir-ds. @@ -560,7 +560,15 @@ def reorder_dv_cols(df, dv_tag_meta, ordered_tags=("dmg","loc","dir","ds")): pandas.DataFrame DataFrame with renamed columns. """ - keep_idx = [dv_tag_meta.index(k) for k in ordered_tags] + if "cmp" in dv_tag_meta: + first_tag = "cmp" + elif "dmg" in dv_tag_meta: + first_tag = "dmg" + elif "loss" in dv_tag_meta: + first_tag = "loss" + + all_ordered_tags = (first_tag,) + tuple(ordered_tags) + keep_idx = [dv_tag_meta.index(k) for k in all_ordered_tags] new_cols = [] for col in df.columns: @@ -660,6 +668,9 @@ def convert_pelicun(model_dir): # Get meta-naming convention, then filter to just cmp columns # (case insensitive) tag_name_list = damage.columns[0].lower().split('-') + # if upper left meta tag not found, raise error to provide + reqd_tags = ['cmp', 'loc', 'dir', 'ds'] + assert set(reqd_tags) <= set(tag_name_list), "Missing meta-tag in index column (i.e. 'cmp-loc-dir-ds' must be provided at minimum)" frag_cols = damage.columns[ damage.columns.str.match(r"^[B-F]") ] @@ -670,6 +681,10 @@ def convert_pelicun(model_dir): # Filter DV columns dv_tag_meta = dvs.columns[0].lower().split('-') + reqd_tags = ['loc', 'dir', 'ds'] + accepted_first_tag = ['cmp', 'dmg', 'loss'] + assert any(item in accepted_first_tag for item in dv_tag_meta), "Missing meta-tag in index column (i.e. 'cmp/dmg/loss-loc-dir-ds' must be provided at minimum)" + assert set(reqd_tags) <= set(dv_tag_meta), "Missing meta-tag in index column (i.e. 'cmp/dmg/loss-loc-dir-ds' must be provided at minimum)" DV_time = dvs.loc[:, dvs.columns.str.upper().str.startswith("TIME")] DV_cost = dvs.loc[:, dvs.columns.str.upper().str.startswith("COST")] @@ -878,6 +893,10 @@ def convert_pelicun(model_dir): _pelicun_unit, str(_attr['unit']).strip(), float(_attr['unit_qty']) ) + # force read as strings to assist string-based Location and Direction parser + comps['Location'] = comps['Location'].astype("string") + comps['Direction'] = comps['Direction'].astype("string") + for _, comp in comps.iterrows(): # clean periods from ID, then replace with underscore to match convention From 9930ebe1ce1f226518393a98153d15921d714613 Mon Sep 17 00:00:00 2001 From: hgp297 Date: Mon, 30 Mar 2026 18:00:36 -0700 Subject: [PATCH 10/10] docs: removed outdated demo.ipynb The demo.ipynb in the root folder is deprecated (was based on pre-restructured repo) and is removed. Examples within are now adequately presented in main README.md, including input explanation, sample run, and basic plotting. --- demo.ipynb | 1 - 1 file changed, 1 deletion(-) delete mode 100644 demo.ipynb diff --git a/demo.ipynb b/demo.ipynb deleted file mode 100644 index d2292da..0000000 --- a/demo.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"code","execution_count":1,"id":"1fce86e9-d68d-489b-83df-4855fe002aed","metadata":{"id":"1fce86e9-d68d-489b-83df-4855fe002aed","executionInfo":{"status":"ok","timestamp":1674609674963,"user_tz":480,"elapsed":455,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}}},"outputs":[],"source":["import json, os, sys\n","import numpy as np\n","import pandas as pd\n","\n","pd.set_option('display.max_rows',100)"]},{"cell_type":"code","source":["# connect with Google Drive and change to the folder with ATC 138 scripts\n","from google.colab import drive\n","drive.mount('/content/drive')\n","\n","main_dir = '/content/drive/MyDrive/SimCenter/FunctionalRecovery/ATC138/'\n","\n","os.chdir(main_dir)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"EwswFIkCtCuu","executionInfo":{"status":"ok","timestamp":1674609722093,"user_tz":480,"elapsed":47132,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"2794626b-452a-4a04-fe6c-dbc8b314c508"},"id":"EwswFIkCtCuu","execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","execution_count":3,"id":"a74c086e-9e47-4cc0-9600-330c1fdb5657","metadata":{"id":"a74c086e-9e47-4cc0-9600-330c1fdb5657","executionInfo":{"status":"ok","timestamp":1674609722093,"user_tz":480,"elapsed":2,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}}},"outputs":[],"source":["#model_name = 'RCSW_1story'\n","#model_name = 'haseltonRCMF_4story'\n","#model_name = 'haseltonRCMF_12story'\n","model_name = 'ICSB'\n","\n","model_dir = f'./inputs/{model_name}/'"]},{"cell_type":"markdown","id":"a17aa617-7a52-4310-a740-fe393878ab8c","metadata":{"id":"a17aa617-7a52-4310-a740-fe393878ab8c"},"source":["## Inputs\n","\n","Each file listed below contains data specific to the building performance model and simulated damage given **for a specific level of shaking**. Each file listed will need to be created for each unique assessment and saved in the root directory of the build script. \n","\n","Data are contained in either json or csv format."]},{"cell_type":"markdown","id":"212f99d5-cdbc-4751-8959-0945e9b5b95b","metadata":{"id":"212f99d5-cdbc-4751-8959-0945e9b5b95b"},"source":["---\n","### Building Model\n","\n","Provides general information about the building:\n","\n","- **building_value**: [number] [USD]\n","
Total replacement value of the building\n","- **num_stories**: [number]\n","
number of stories in the building, does not include basement levels\n","- **total_area_sf**: [number] [ft2]\n","
total interior area of the entire building\n","- **area_per_story_sf**: [array] [ft2]\n","
interior area for each story in the building, starting from the lowest level\n","- **ht_per_story_ft**: [array] [ft2]\n","
elevation height for each story in the building, starting from the lowest level\n","- **edge_lengths**: [array] [ft]\n","
external length of two orthogonal sides of the building, for each story in the building, starting from the lowest level\n","- **struct_bay_area_per_story**: [array] [ft]\n","
length of the typical structural bay, from centerline to centerline, for each story in the building, starting from the lowest level\n","- **num_entry_doors**: [number]\n","
number of external building exits/entrances\n","- **num_elevators**: [number]\n","
number of elevator shafts in the building\n","- **stairs_per_story**: [array]\n","
number of stairways on each story in the building, starting from the lowest level\n","- **occupants_per_story**: [array]\n","
total number of occuapnts (persons) that occupy each story of this building, starting from the lowest level"]},{"cell_type":"code","execution_count":4,"id":"d2398246-e9ef-44c7-a794-005d4af8148b","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"d2398246-e9ef-44c7-a794-005d4af8148b","executionInfo":{"status":"ok","timestamp":1674609723161,"user_tz":480,"elapsed":1070,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"54de60d7-7cb1-43ae-9222-5772e3f4d20a"},"outputs":[{"output_type":"stream","name":"stdout","text":["{\n"," \"building_value\": 15507252.123410186,\n"," \"num_stories\": 6,\n"," \"total_area_sf\": 56250,\n"," \"area_per_story_sf\": [\n"," 9375,\n"," 9375,\n"," 9375,\n"," 9375,\n"," 9375,\n"," 9375\n"," ],\n"," \"ht_per_story_ft\": [\n"," 14.5,\n"," 13.5,\n"," 13.5,\n"," 13.5,\n"," 13.5,\n"," 13.167\n"," ],\n"," \"edge_lengths\": [\n"," [\n"," 96.82458365518542,\n"," 96.82458365518542\n"," ],\n"," [\n"," 96.82458365518542,\n"," 96.82458365518542\n"," ],\n"," [\n"," 96.82458365518542,\n"," 96.82458365518542\n"," ],\n"," [\n"," 96.82458365518542,\n"," 96.82458365518542\n"," ],\n"," [\n"," 96.82458365518542,\n"," 96.82458365518542\n"," ],\n"," [\n"," 96.82458365518542,\n"," 96.82458365518542\n"," ]\n"," ],\n"," \"struct_bay_area_per_story\": [\n"," 585.9375,\n"," 585.9375,\n"," 585.9375,\n"," 585.9375,\n"," 585.9375,\n"," 585.9375\n"," ],\n"," \"num_entry_doors\": 2,\n"," \"num_elevators\": 2,\n"," \"stairs_per_story\": [\n"," 2,\n"," 2,\n"," 2,\n"," 2,\n"," 2,\n"," 2\n"," ],\n"," \"occupants_per_story\": [\n"," 37.5,\n"," 37.5,\n"," 37.5,\n"," 37.5,\n"," 37.5,\n"," 37.5\n"," ]\n","}\n"]}],"source":["with open(model_dir+'building_model.json') as f:\n"," building_model = json.load(f)\n"," \n","print(json.dumps(building_model, indent=2))"]},{"cell_type":"markdown","id":"647aa5af-b19b-4dbb-ad49-0d0d90e42d65","metadata":{"id":"647aa5af-b19b-4dbb-ad49-0d0d90e42d65"},"source":["---\n","### Tenant Units\n","\n","Table that lists each tenant unit within the building; one row per tenant unit. This table requires the following attributes:\n","\n","- **id**: [int or string] \n","
unique identifier for this tenant unit\n","- **story**: [int] \n","
building story where this tenant unit is located (ground floor is listed at 1)\n","- **area**: [float] [ft2]\n","
total gross plan area of the tenant unit\n","- **perim_area**: [float] [ft2] \n","
total exterior perimeter area (elevation) of the tenant unit\n","- **occupancy_id**: [int] \n","
foreign key to the occupancy_id attribute of the tenant_function_requirements.csv table in the static_tables directory\n","\n","Other attributes listed in the input schema - I assume these have defaults:\n","- **exterior**: [float]\n","
tolerance for damage to exterior systems required for tenant function (0 = any damage causes loss of function, 0.999 = everything must be damage for loss of tenant function). Ratio of the perimeter area of severely damaged exterior components within the tenant-unit to the total perimeter area of the tenant unit (i.e., what percent of the exterior walls must be sufficiently damaged to cause tenants to not be able to function in this space).\n","- **interior**: [float]\n","
tolerance for damage to interior systems required for tenant function (0 = any damage causes loss of function, 0.999 = everything must be damage for loss of tenant function). Ratio of the interior plan area of severely damaged interior components within the tenant-unit to the total plan area of the tenant unit (i.e., what percent of the interior space must be hindered to cause tenants to not be able to function in this space).\n","- **occ_per_elev**: [float]\n","
max number of occupants per elevator allowed for function\n","- **is_elevator_required**: [bool]\n","
is an operational elevator required for tenant function\n","- **is_electrical_required**: [bool] \n","
is an operational electrical system required for tenant function\n","- **is_water_required** [bool]\n","
is an operational plumbing system required for tenant function\n","- **is_hvac_required**: [bool] \n","
is an operational hvac system required for tenant function"]},{"cell_type":"code","execution_count":5,"id":"f48855f7-364b-49c6-8ca5-765d0b41ce8a","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":269},"id":"f48855f7-364b-49c6-8ca5-765d0b41ce8a","executionInfo":{"status":"ok","timestamp":1674609723489,"user_tz":480,"elapsed":330,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"a8837fbd-901c-46f5-d01b-ac95123824ef"},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" story area perim_area occupancy_id\n","id \n","1 1 9375 4800 0\n","2 2 9375 4800 1\n","3 3 9375 4800 1\n","4 4 9375 4800 1\n","5 5 9375 4800 1\n","6 6 9375 4800 1"],"text/html":["\n","
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id
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22937548001
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44937548001
55937548001
66937548001
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unique FEMA P-58 component identifier\n","- **ds_seq_id**: [int] \n","
integer index of the sequential parent damage state (i.e., damage state 1, 2, 3, 4)\n","- **ds_sub_id**: [int] \n","
integer index for the mutually exlusive or simeltaneous sub damage state; use 1 to indicate a sequential damage state with no sub damage state."]},{"cell_type":"code","execution_count":6,"id":"0ca695c3-3b6d-4175-8917-5d706f838056","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"0ca695c3-3b6d-4175-8917-5d706f838056","executionInfo":{"status":"ok","timestamp":1674609723677,"user_tz":480,"elapsed":211,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"0cc60e66-dcb3-4c79-a07a-8976a0626fce"},"outputs":[{"output_type":"stream","name":"stdout","text":["(93, 2)\n"]},{"output_type":"execute_result","data":{"text/plain":[" ds_seq_id ds_sub_id\n","comp_id \n","B1041.021a 1 1\n","B1041.021a 2 1\n","B1041.021a 3 1\n","B1041.021a 3 2\n","B1041.021b 1 1\n","B1041.021b 2 1\n","B1041.021b 3 1\n","B1041.021b 3 2\n","B1041.111a 1 1\n","B1041.111a 2 1\n","B1041.111a 3 1\n","B1041.111b 1 1\n","B1041.111b 2 1\n","B1041.111b 3 1\n","B1041.121b 1 1\n","B1041.121b 2 1\n","B1044.003 1 1\n","B1044.003 2 1\n","B1044.003 3 1\n","B1044.011 1 1\n","B1044.011 2 1\n","B1044.011 3 1\n","B2011.201a 1 1\n","B2011.201a 1 2\n","B2011.201b 1 1\n","C1011.001a 1 1\n","C1011.001a 2 1\n","C1011.001a 3 1\n","C2011.011b 1 1\n","C2011.011b 2 1\n","C2011.011b 3 1\n","C3011.001a 1 1\n","C3011.002a 1 1\n","C3011.002a 2 1\n","C3032.001a 1 1\n","C3032.001a 2 1\n","C3032.001a 3 1\n","C3032.001b 1 1\n","C3032.001b 2 1\n","C3032.001b 3 1\n","C3032.001c 1 1\n","C3032.001c 2 1\n","C3032.001c 3 1\n","C3032.001d 1 1\n","C3032.001d 2 1\n","C3032.001d 3 1\n","C3034.001 1 1\n","D1014.012 1 1\n","D1014.012 1 2\n","D1014.012 1 3\n","D1014.012 1 4\n","D2021.012a 1 1\n","D2021.012a 2 1\n","D2021.012b 1 1\n","D2021.012b 2 1\n","D2021.022a 1 1\n","D2021.022a 2 1\n","D2022.012a 1 1\n","D2022.012a 2 1\n","D2022.012b 1 1\n","D2022.012b 2 1\n","D2022.022a 1 1\n","D2022.022a 2 1\n","D2031.022a 1 1\n","D2031.022b 1 1\n","D2031.022b 2 1\n","D2051.022a 1 1\n","D2051.022a 2 1\n","D2051.022b 1 1\n","D3031.011b 1 1\n","D3031.021b 1 1\n","D3041.002c 1 1\n","D3041.011c 1 1\n","D3041.011c 2 1\n","D3041.012c 1 1\n","D3041.012c 2 1\n","D3041.032c 1 1\n","D3041.103c 1 1\n","D3041.103c 1 2\n","D3041.103c 1 3\n","D3052.013l 1 1\n","D3052.013l 1 2\n","D3052.013l 1 3\n","D3052.013l 1 4\n","D3067.011a 1 1\n","D4011.022a 1 1\n","D4011.022a 2 1\n","D4011.032a 1 1\n","D4011.032a 2 1\n","D5011.011a 1 1\n","D5012.013a 1 1\n","D5012.021d 1 1\n","D5012.031d 1 1"],"text/html":["\n","
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ds_seq_idds_sub_id
comp_id
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B1041.121b11
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B1044.00311
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B1044.00331
B1044.01111
B1044.01121
B1044.01131
B2011.201a11
B2011.201a12
B2011.201b11
C1011.001a11
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C2011.011b11
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C2011.011b31
C3011.001a11
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C3032.001a11
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C3032.001d11
C3032.001d21
C3032.001d31
C3034.00111
D1014.01211
D1014.01212
D1014.01213
D1014.01214
D2021.012a11
D2021.012a21
D2021.012b11
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D2021.022a11
D2021.022a21
D2022.012a11
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D2022.012b11
D2022.012b21
D2022.022a11
D2022.022a21
D2031.022a11
D2031.022b11
D2031.022b21
D2051.022a11
D2051.022a21
D2051.022b11
D3031.011b11
D3031.021b11
D3041.002c11
D3041.011c11
D3041.011c21
D3041.012c11
D3041.012c21
D3041.032c11
D3041.103c11
D3041.103c12
D3041.103c13
D3052.013l11
D3052.013l12
D3052.013l13
D3052.013l14
D3067.011a11
D4011.022a11
D4011.022a21
D4011.032a11
D4011.032a21
D5011.011a11
D5012.013a11
D5012.021d11
D5012.031d11
\n","
\n"," \n"," \n"," \n","\n"," \n","
\n","
\n"," "]},"metadata":{},"execution_count":6}],"source":["damage_states = pd.read_csv(model_dir+'comp_ds_list.csv', header=0, index_col=0)\n","\n","print(damage_states.shape)\n","\n","damage_states"]},{"cell_type":"markdown","id":"12f4bc9c-a4da-495e-bb64-a0cd912a3b48","metadata":{"id":"12f4bc9c-a4da-495e-bb64-a0cd912a3b48"},"source":["---\n","### Consequences\n","\n","- **red_tag**: [array of bool]\n","
simulated logical of red tags, TRUE = building is red tagged\n","- **racked_stair_doors_per_story**: [array of int]\n","
simulated number of racked stairway doors per story\n","- **racked_entry_doors_side_1**: [array of int]\n","
simulated number of racked entry doors on one side of the building\n","- **racked_entry_doors_side_2**: [array of int]\n","
simulated number of racked entry doors on one side of the building\n","- **inpsection_trigger**: [array of bool]\n","
simulated logical of inspection triggers, TRUE = building requires inspection\n","- **repair_cost_ratio**: [array of float]\n","
simulated building repair cost normalized by the replacement value"]},{"cell_type":"code","execution_count":7,"id":"28c5c748-24e1-4fad-883c-b9eda5865bf0","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"28c5c748-24e1-4fad-883c-b9eda5865bf0","executionInfo":{"status":"ok","timestamp":1674609723979,"user_tz":480,"elapsed":322,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"30d62175-9b74-4a81-d515-3353ed508129"},"outputs":[{"output_type":"stream","name":"stdout","text":["red_tag 500\n","racked_stair_doors_per_story 500\n","racked_entry_doors_side_1 500\n","racked_entry_doors_side_2 500\n","inpsection_trigger 500\n","repair_cost_ratio 500\n"]}],"source":["with open(model_dir+'damage_consequences.json') as f:\n"," consequences = json.load(f)\n"," \n","for key, item in consequences.items():\n"," print(key, len(item))"]},{"cell_type":"code","execution_count":8,"id":"a43c7856-4906-4e76-9630-34504b7ccb49","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"a43c7856-4906-4e76-9630-34504b7ccb49","executionInfo":{"status":"ok","timestamp":1674609723979,"user_tz":480,"elapsed":14,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"f6615088-3a47-41f4-d917-7e41490ec016"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.2769175506912296"]},"metadata":{},"execution_count":8}],"source":["np.array(consequences['repair_cost_ratio']).mean()"]},{"cell_type":"markdown","id":"2a521711-c700-49c7-9b10-e1dac5227e18","metadata":{"id":"2a521711-c700-49c7-9b10-e1dac5227e18"},"source":["---\n","### Simulated Damage\n","\n","Component-level simulated damage properties.\n","\n","Contains a list of dictionaries, each dictionary corresponds to a tenant unit (\"tu\"). Within each dictionary, the following variables need to be defined:\n","- **qnt_damaged**: [array: simulations × damage states] \n","
The number of damaged components in each component damage state for each realization of the simulation.\n","- **cost**: [array of float: sim x ds]\n","
simulated repair cost of each component's damage state\n","- **worker_days**: [array: simulations × damage states] \n","
The number of single worker days required to repair all damage to this damage state of this component at this story for each realization.\n","- **qnt_damaged_side_1**: [array: simulations × damage states] \n","
The number of damaged components in each component damage state assocaited with side 1 of the building; set to zero if not associated with a particular side. This is only for exterior cladding components.\n","- **qnt_damaged_side_2**: [array: simulations × damage states] \n","
The number of damaged components in each component damage state assocaited with side 2 of the building; set to zero if not associated with a particular side. This is only for exterior cladding components.\n","- **qnt_damaged_side_3**: [array: simulations × damage states] \n","
The number of damaged components in each component damage state assocaited with side 3 of the building; set to zero if not associated with a particular side. This is only for exterior cladding components.\n","- **qnt_damaged_side_4**: [array: simulations × damage states] \n","
The number of damaged components in each component damage state associated with side 4 of the building; set to zero if not associated with a particular side. This is only for exterior cladding components.\n","- **num_comps**: [array: 1 × damage states] \n","
The total number of components associated with each damage state (should be uniform for damage state of the same component stack)."]},{"cell_type":"code","execution_count":9,"id":"4b9133ea-2e31-494e-82e1-d69f52dff05d","metadata":{"tags":[],"colab":{"base_uri":"https://localhost:8080/"},"id":"4b9133ea-2e31-494e-82e1-d69f52dff05d","executionInfo":{"status":"ok","timestamp":1674609724742,"user_tz":480,"elapsed":775,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"007f84eb-e5cd-42b8-9aeb-80e893523cfc"},"outputs":[{"output_type":"stream","name":"stdout","text":["qnt_damaged (500, 93)\n","worker_days (500, 93)\n","qnt_damaged_side_1 (500, 93)\n","qnt_damaged_side_2 (500, 93)\n","qnt_damaged_side_3 (500, 93)\n","qnt_damaged_side_4 (500, 93)\n","num_comps (93,)\n"]}],"source":["with open(model_dir+'simulated_damage.json') as f:\n"," sim_dmg = json.load(f)\n"," \n","for key, item in sim_dmg[0].items():\n"," print(key, np.array(item).shape)"]},{"cell_type":"code","execution_count":10,"id":"72f316ea-2b48-43d6-aede-962e16dac0b5","metadata":{"id":"72f316ea-2b48-43d6-aede-962e16dac0b5","executionInfo":{"status":"ok","timestamp":1674609724742,"user_tz":480,"elapsed":4,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}}},"outputs":[],"source":["#pd.DataFrame(sim_dmg[0]['cost'])"]},{"cell_type":"markdown","id":"3ca062e5-f99d-4342-bc89-2b6f5834ac87","metadata":{"id":"3ca062e5-f99d-4342-bc89-2b6f5834ac87"},"source":["---\n","### Optional Inputs\n","\n","Details are described in the Inputs.json schema file"]},{"cell_type":"code","execution_count":11,"id":"9d08a5e9-d209-482d-864c-2dd239743bf7","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9d08a5e9-d209-482d-864c-2dd239743bf7","executionInfo":{"status":"ok","timestamp":1674609725078,"user_tz":480,"elapsed":339,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"d4476ffc-e908-4639-8dbb-8c1162035710"},"outputs":[{"output_type":"stream","name":"stdout","text":["{\n"," \"impedance_options\": {\n"," \"include_impedance\": {\n"," \"inspection\": true,\n"," \"financing\": true,\n"," \"permitting\": true,\n"," \"engineering\": true,\n"," \"contractor\": true\n"," },\n"," \"system_design_time\": {\n"," \"f\": 0.04,\n"," \"r\": 175,\n"," \"t\": 1.3,\n"," \"w\": 8\n"," },\n"," \"mitigation\": {\n"," \"is_essential_facility\": false,\n"," \"is_borp_equivalent\": false,\n"," \"is_engineer_on_retainer\": false,\n"," \"is_contractor_on_retainer\": false,\n"," \"funding_source\": \"private\",\n"," \"capital_available_ratio\": 0.1\n"," },\n"," \"impedance_beta\": 0.6,\n"," \"impedance_truncation\": 2\n"," },\n"," \"repair_time_options\": {\n"," \"temp_repair_beta\": 0.6,\n"," \"max_workers_per_sqft_story\": 0.001,\n"," \"max_workers_per_sqft_building\": 0.00025,\n"," \"max_workers_building_min\": 20,\n"," \"max_workers_building_max\": 260\n"," },\n"," \"functionality_options\": {\n"," \"door_racking_repair_day\": 3,\n"," \"egress_threshold\": 0.5,\n"," \"egress_threshold_wo_fs\": 0.75,\n"," \"required_ratio_operating_hvac_main\": 0.6667,\n"," \"required_ratio_operating_hvac_unit\": 0.6667,\n"," \"exterior_safety_threshold\": 0.1,\n"," \"interior_safety_threshold\": 0.25,\n"," \"door_access_width_ft\": 9\n"," },\n"," \"regional_impact\": {\n"," \"surge_factor\": 1\n"," }\n","}\n"]}],"source":["with open(model_dir+'optional_inputs.json') as f:\n"," options = json.load(f)\n"," \n","print(json.dumps(options, indent=2))"]},{"cell_type":"markdown","id":"89c23f41-64dc-4858-ba49-85ee845fc824","metadata":{"id":"89c23f41-64dc-4858-ba49-85ee845fc824"},"source":["## Analysis"]},{"cell_type":"code","execution_count":12,"id":"59046d7f-9e53-423d-8168-46f6d71e3ef8","metadata":{"id":"59046d7f-9e53-423d-8168-46f6d71e3ef8","executionInfo":{"status":"ok","timestamp":1674609725625,"user_tz":480,"elapsed":562,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}}},"outputs":[],"source":["from inputs.Inputs2Copy.build_input import build_input\n","from driver_PBEErecovery import run_analysis\n","os.chdir(main_dir)"]},{"cell_type":"code","execution_count":13,"id":"1187ae15-8fdc-4b1d-a037-5f18dcec8730","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1187ae15-8fdc-4b1d-a037-5f18dcec8730","executionInfo":{"status":"ok","timestamp":1674609731255,"user_tz":480,"elapsed":5632,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"b7b812dc-7ccf-4863-a609-f725bb068d77"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/drive/MyDrive/SimCenter/FunctionalRecovery/ATC138/inputs/ICSB\n","Component ID B1041.021a does not belong to a subsystem\n","Component ID B1041.021a does not belong to a subsystem\n","Component ID B1041.021a does not belong to a subsystem\n","Component ID B1041.021a does not belong to a subsystem\n","Component ID B1041.021b does not belong to a subsystem\n","Component ID B1041.021b does not belong to a subsystem\n","Component ID B1041.021b does not belong to a subsystem\n","Component ID B1041.021b does not belong to a subsystem\n","Component ID B1041.111a does not belong to a subsystem\n","Component ID B1041.111a does not belong to a subsystem\n","Component ID B1041.111a does not belong to a subsystem\n","Component ID B1041.111b does not belong to a subsystem\n","Component ID B1041.111b does not belong to a subsystem\n","Component ID B1041.111b does not belong to a subsystem\n","Component ID B1041.121b does not belong to a subsystem\n","Component ID B1041.121b does not belong to a subsystem\n","Component ID B1044.003 does not belong to a subsystem\n","Component ID B1044.003 does not belong to a subsystem\n","Component ID B1044.003 does not belong to a subsystem\n","Component ID B1044.011 does not belong to a subsystem\n","Component ID B1044.011 does not belong to a subsystem\n","Component ID B1044.011 does not belong to a subsystem\n","Component ID B2011.201a does not belong to a subsystem\n","Component ID B2011.201a does not belong to a subsystem\n","Component ID B2011.201b does not belong to a subsystem\n","Component ID C1011.001a does not belong to a subsystem\n","Component ID C1011.001a does not belong to a subsystem\n","Component ID C1011.001a does not belong to a subsystem\n","Component ID C2011.011b does not belong to a subsystem\n","Component ID C2011.011b does not belong to a subsystem\n","Component ID C2011.011b does not belong to a subsystem\n","Component ID C3011.001a does not belong to a subsystem\n","Component ID C3011.002a does not belong to a subsystem\n","Component ID C3011.002a does not belong to a subsystem\n","Component ID C3032.001a does not belong to a subsystem\n","Component ID C3032.001a does not belong to a subsystem\n","Component ID C3032.001a does not belong to a subsystem\n","Component ID C3032.001b does not belong to a subsystem\n","Component ID C3032.001b does not belong to a subsystem\n","Component ID C3032.001b does not belong to a subsystem\n","Component ID C3032.001c does not belong to a subsystem\n","Component ID C3032.001c does not belong to a subsystem\n","Component ID C3032.001c does not belong to a subsystem\n","Component ID C3032.001d does not belong to a subsystem\n","Component ID C3032.001d does not belong to a subsystem\n","Component ID C3032.001d does not belong to a subsystem\n","Component ID C3034.001 does not belong to a subsystem\n","Component ID D4011.022a does not belong to a subsystem\n","Component ID D4011.022a does not belong to a subsystem\n"]}],"source":["%reload_ext autoreload\n","%autoreload 2\n","\n","os.chdir(model_dir)\n","build_input('simulated_inputs.json')\n","os.chdir(main_dir)"]},{"cell_type":"code","execution_count":14,"id":"71f870d8-bd26-4f66-a196-e3e9c06dfaff","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"71f870d8-bd26-4f66-a196-e3e9c06dfaff","executionInfo":{"status":"ok","timestamp":1674609740321,"user_tz":480,"elapsed":9082,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"05803b87-eb3a-46e7-fb0f-c4779f1a7a2b"},"outputs":[{"output_type":"stream","name":"stdout","text":["time to run 8.95s\n"]}],"source":["%reload_ext autoreload\n","%autoreload 2\n","\n","run_analysis(model_name)"]},{"cell_type":"markdown","id":"bdf2d49d-6936-43c7-83d3-a407ea309bcf","metadata":{"id":"bdf2d49d-6936-43c7-83d3-a407ea309bcf"},"source":["## Outputs"]},{"cell_type":"code","execution_count":15,"id":"a99fae91-4439-4d62-ac31-20c3384a6729","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"a99fae91-4439-4d62-ac31-20c3384a6729","executionInfo":{"status":"ok","timestamp":1674609740321,"user_tz":480,"elapsed":18,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"b3f53ea8-d315-42e2-c130-34f814237401"},"outputs":[{"output_type":"stream","name":"stdout","text":["utilities ()\n","impeding_factors ()\n","worker_data ()\n","building_repair_schedule ()\n","recovery ()\n"]}],"source":["with open(f'./outputs/{model_name}/recovery_outputs.json') as f:\n"," outputs = json.load(f)\n"," \n","for key, item in outputs.items():\n"," print(key, np.array(item).shape)"]},{"cell_type":"code","execution_count":16,"id":"2491e900-a086-47b9-99ae-aa81db8aff37","metadata":{"id":"2491e900-a086-47b9-99ae-aa81db8aff37","executionInfo":{"status":"ok","timestamp":1674609740523,"user_tz":480,"elapsed":219,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}}},"outputs":[],"source":["from plotModel_PBEErecovery import plot_results"]},{"cell_type":"code","execution_count":17,"id":"b17eabe1-fc69-45b5-a9cd-f362b5087a1f","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"b17eabe1-fc69-45b5-a9cd-f362b5087a1f","executionInfo":{"status":"ok","timestamp":1674609758215,"user_tz":480,"elapsed":17693,"user":{"displayName":"Adam Zsarnoczay","userId":"08695679488835570500"}},"outputId":"ffdb3f20-15b8-45a6-d98e-6582e9898bda"},"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:matplotlib.font_manager:findfont: Font family ['Times New Roman'] not found. Falling back to DejaVu Sans.\n","WARNING:matplotlib.font_manager:findfont: Font family ['Times New Roman'] not found. Falling back to DejaVu Sans.\n"]},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}],"source":["%reload_ext 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