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Merge pull request #60 from jinyan1214/releasedVersion
jz - add Capacity Spectrum Method auto pop fix the bug in auto_pop when GF is not needed for transportation
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| # -*- coding: utf-8 -*- | ||
| # | ||
| # Copyright (c) 2023 Leland Stanford Junior University | ||
| # Copyright (c) 2023 The Regents of the University of California | ||
| # | ||
| # This file is part of pelicun. | ||
| # | ||
| # Redistribution and use in source and binary forms, with or without | ||
| # modification, are permitted provided that the following conditions are met: | ||
| # | ||
| # 1. Redistributions of source code must retain the above copyright notice, | ||
| # this list of conditions and the following disclaimer. | ||
| # | ||
| # 2. Redistributions in binary form must reproduce the above copyright notice, | ||
| # this list of conditions and the following disclaimer in the documentation | ||
| # and/or other materials provided with the distribution. | ||
| # | ||
| # 3. Neither the name of the copyright holder nor the names of its contributors | ||
| # may be used to endorse or promote products derived from this software without | ||
| # specific prior written permission. | ||
| # | ||
| # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | ||
| # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | ||
| # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | ||
| # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE | ||
| # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | ||
| # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | ||
| # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | ||
| # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | ||
| # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | ||
| # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | ||
| # POSSIBILITY OF SUCH DAMAGE. | ||
| # | ||
| # You should have received a copy of the BSD 3-Clause License along with | ||
| # pelicun. If not, see <http://www.opensource.org/licenses/>. | ||
| # | ||
| # Contributors: | ||
| # Adam Zsarnóczay | ||
|
|
||
| import pandas as pd | ||
|
|
||
| ap_DesignLevel = {1940: "LC", 1975: "MC", 2100: "HC"} | ||
| # ap_DesignLevel = {1940: 'PC', 1940: 'LC', 1975: 'MC', 2100: 'HC'} | ||
|
|
||
| ap_DesignLevel_W1 = {0: "LC", 1975: "MC", 2100: "HC"} | ||
| # ap_DesignLevel_W1 = {0: 'PC', 0: 'LC', 1975: 'MC', 2100: 'HC'} | ||
|
|
||
| ap_Occupancy = { | ||
| "Other/Unknown": "RES3", | ||
| "Residential - Single-Family": "RES1", | ||
| "Residential - Town-Home": "RES3", | ||
| "Residential - Multi-Family": "RES3", | ||
| "Residential - Mixed Use": "RES3", | ||
| "Office": "COM4", | ||
| "Hotel": "RES4", | ||
| "School": "EDU1", | ||
| "Industrial - Light": "IND2", | ||
| "Industrial - Warehouse": "IND2", | ||
| "Industrial - Heavy": "IND1", | ||
| "Retail": "COM1", | ||
| "Parking": "COM10", | ||
| } | ||
|
|
||
| convert_design_level = { | ||
| "High-Code": "HC", | ||
| "Moderate-Code": "MC", | ||
| "Low-Code": "LC", | ||
| "Pre-Code": "PC", | ||
| } | ||
|
|
||
|
|
||
| def convert_story_rise(structureType, stories): | ||
| if structureType in ["W1", "W2", "S3", "PC1", "MH"]: | ||
| # These archetypes have no rise information in their IDs | ||
| rise = None | ||
|
|
||
| else: | ||
| # First, check if we have valid story information | ||
| try: | ||
| stories = int(stories) | ||
|
|
||
| except (ValueError, TypeError): | ||
| raise ValueError( | ||
| 'Missing "NumberOfStories" information, ' | ||
| "cannot infer `rise` attribute of archetype" | ||
| ) | ||
|
|
||
| if structureType == "RM1": | ||
| if stories <= 3: | ||
| rise = "L" | ||
|
|
||
| else: | ||
| rise = "M" | ||
|
|
||
| elif structureType == "URM": | ||
| if stories <= 2: | ||
| rise = "L" | ||
|
|
||
| else: | ||
| rise = "M" | ||
|
|
||
| elif structureType in [ | ||
| "S1", | ||
| "S2", | ||
| "S4", | ||
| "S5", | ||
| "C1", | ||
| "C2", | ||
| "C3", | ||
| "PC2", | ||
| "RM2", | ||
| ]: | ||
| if stories <= 3: | ||
| rise = "L" | ||
|
|
||
| elif stories <= 7: | ||
| rise = "M" | ||
|
|
||
| else: | ||
| rise = "H" | ||
|
|
||
| return rise | ||
|
|
||
|
|
||
| def auto_populate(AIM): | ||
| """ | ||
| Automatically creates a performance model for story EDP-based Hazus EQ analysis. | ||
| Parameters | ||
| ---------- | ||
| AIM: dict | ||
| Asset Information Model - provides features of the asset that can be | ||
| used to infer attributes of the performance model. | ||
| Returns | ||
| ------- | ||
| GI_ap: dict | ||
| Extended General Information - extends the GI from the input AIM with | ||
| additional inferred features. These features are typically used in | ||
| intermediate steps during the auto-population and are not required | ||
| for the performance assessment. They are returned to allow reviewing | ||
| how these latent variables affect the final results. | ||
| DL_ap: dict | ||
| Damage and Loss parameters - these define the performance model and | ||
| details of the calculation. | ||
| CMP: DataFrame | ||
| Component assignment - Defines the components (in rows) and their | ||
| location, direction, and quantity (in columns). | ||
| """ | ||
|
|
||
| # extract the General Information | ||
| GI = AIM.get("GeneralInformation", None) | ||
|
|
||
| if GI is None: | ||
| # TODO: show an error message | ||
| pass | ||
|
|
||
| # initialize the auto-populated GI | ||
| GI_ap = GI.copy() | ||
|
|
||
| assetType = AIM["assetType"] | ||
| ground_failure = AIM["Applications"]["DL"]["ApplicationData"]["ground_failure"] | ||
|
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| if assetType == "Buildings": | ||
| # get the building parameters | ||
| bt = GI["StructureType"] # building type | ||
|
|
||
| # get the design level | ||
| dl = GI.get("DesignLevel", None) | ||
|
|
||
| if dl is None: | ||
| # If there is no DesignLevel provided, we assume that the YearBuilt is | ||
| # available | ||
| year_built = GI["YearBuilt"] | ||
|
|
||
| if "W1" in bt: | ||
| DesignL = ap_DesignLevel_W1 | ||
| else: | ||
| DesignL = ap_DesignLevel | ||
|
|
||
| for year in sorted(DesignL.keys()): | ||
| if year_built <= year: | ||
| dl = DesignL[year] | ||
| break | ||
|
|
||
| GI_ap["DesignLevel"] = dl | ||
| # get the number of stories / height | ||
| stories = GI.get("NumberOfStories", None) | ||
|
|
||
| # We assume that the structure type does not include height information | ||
| # and we append it here based on the number of story information | ||
| rise = convert_story_rise(bt, stories) | ||
|
|
||
| # get the number of stories / height | ||
| stories = GI.get("NumberOfStories", None) | ||
|
|
||
| if rise is None: | ||
| # To prevent STR.W2.None.LC | ||
| FG_S = f"STR.{bt}.{dl}" | ||
| else: | ||
| FG_S = f"STR.{bt}.{rise}.{dl}" | ||
| # FG_S = f"STR.{bt}.{dl}" | ||
| FG_NSD = "NSD" | ||
| FG_NSA = f"NSA.{dl}" | ||
|
|
||
| CMP = pd.DataFrame( | ||
| { | ||
| f"{FG_S}": [ | ||
| "ea", | ||
| 1, | ||
| 1, | ||
| 1, | ||
| "N/A", | ||
| ], | ||
| f"{FG_NSA}": [ | ||
| "ea", | ||
| 1, | ||
| 0, | ||
| 1, | ||
| "N/A", | ||
| ], | ||
| f"{FG_NSD}": [ | ||
| "ea", | ||
| 1, | ||
| 1, | ||
| 1, | ||
| "N/A", | ||
| ], | ||
| }, | ||
| index=["Units", "Location", "Direction", "Theta_0", "Family"], | ||
| ).T | ||
|
|
||
| # if needed, add components to simulate damage from ground failure | ||
| if ground_failure: | ||
| foundation_type = "S" | ||
|
|
||
| # fmt: off | ||
| FG_GF_H = f'GF.H.{foundation_type}' # noqa | ||
| FG_GF_V = f'GF.V.{foundation_type}' # noqa | ||
| CMP_GF = pd.DataFrame( # noqa | ||
| {f'{FG_GF_H}':[ 'ea', 1, 1, 1, 'N/A'], # noqa | ||
| f'{FG_GF_V}':[ 'ea', 1, 3, 1, 'N/A']}, # noqa | ||
| index = [ 'Units','Location','Direction','Theta_0','Family'] # noqa | ||
| ).T # noqa | ||
| # fmt: on | ||
|
|
||
| CMP = pd.concat([CMP, CMP_GF], axis=0) | ||
|
|
||
| # get the occupancy class | ||
| if GI["OccupancyClass"] in ap_Occupancy.keys(): | ||
| ot = ap_Occupancy[GI["OccupancyClass"]] | ||
| else: | ||
| ot = GI["OccupancyClass"] | ||
|
|
||
| plan_area = GI.get("PlanArea", 1.0) | ||
|
|
||
| repair_config = { | ||
| "ConsequenceDatabase": "Hazus Earthquake - Buildings", | ||
| "MapApproach": "Automatic", | ||
| "DecisionVariables": { | ||
| "Cost": True, | ||
| "Carbon": False, | ||
| "Energy": False, | ||
| "Time": False, | ||
| }, | ||
| } | ||
|
|
||
| DL_ap = { | ||
| "Asset": { | ||
| "ComponentAssignmentFile": "CMP_QNT.csv", | ||
| "ComponentDatabase": "Hazus Earthquake - Buildings", | ||
| "NumberOfStories": f"{stories}", | ||
| "OccupancyType": f"{ot}", | ||
| "PlanArea": str(plan_area), | ||
| }, | ||
| "Damage": {"DamageProcess": "Hazus Earthquake"}, | ||
| "Demands": {}, | ||
| "Losses": {"Repair": repair_config}, | ||
| "Options": { | ||
| "NonDirectionalMultipliers": {"ALL": 1.0}, | ||
| }, | ||
| } | ||
|
|
||
| else: | ||
| print( | ||
| f"AssetType: {assetType} is not supported " | ||
| f"in Hazus Earthquake Capacity Spectrum Method-based DL method" | ||
| ) | ||
|
|
||
| return GI_ap, DL_ap, CMP |
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