Consequence functions - navid, January 18, 2023 #299
Replies: 3 comments
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Hi Navid, The consequence models for unsafe placards and injuries are not yet implemented in Pelicun 3. As for unsafe placards, in our experience, there is consensus in both the researcher and practitioner community that the current methodology in FEMA P58 provides unrealistic estimates. A new, more complex methodology is developed by the ATC 138 project and will be released in the near future. At that point, we plan to implement a methodology in Pelicun that supports both the old and the new approach to calculating unsafe placards to support benchmarking and evaluation of the impact of changes. As for injuries, we are developing an enhanced version of the methodology in Pelicun 2. We have the supporting datasets already available in Pelicun 3, but the implementation of the methodology is in progress. We plan to have injury calculations available by July 2023. Let me know if you have further questions. Adam
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Hi Adam, Thank you for the information. It will be useful to have it available in Pelicun 3, especially for those who are willing to study functional recovery using ATC 138. Bests,
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Hello Adam, I'd like to express my gratitude for the recent release of the functional recovery simulation in the PBE application. I'm curious to know whether it is possible to perform function recovery within PELICUN. Thank you,
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Hello!
Thank you so much for this helpful software.
I was wondering how to get the outputs for unsafe placarding (red tag), injuries, and fatalities. I could not reach those with a similar code for quantifying the "repair cost and time". I would appreciate it if you could advise how to write the appropriate python codes.
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P58_data_Red_tag = PAL.get_default_data('bldg_redtag_DB_FEMA_P58_2nd')
P58_data_for_this_assessment_Red_tag = P58_data_Red_tag.loc[cmp_list, :]
display(P58_data_for_this_assessment_Red_tag)
PAL.bldg_repair.load_model([
"PelicunDefault/bldg_redtag_DB_FEMA_P58_2nd.csv"], loss_map)
ValueError: multiple levels only valid with MultiIndex
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Bests,
Navid
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