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61
Absolutely, happy to help.

If you have any other questions, please let me know. Thank you again for using SimCenter Forum!
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Many thanks for your support.
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Here is the CSV file I get from BRAILS backend. It contains the building attributes required for performing earthquake damage and loss calculations for 1,569 buildings in the Mission Beach, CA area.

A few things to note about this inventory:
1) It omits 126 (1695-1569=126) buildings in Mission Beach for which street-level imagery could not be obtained.
2) The occupancy type column contains data imputed from the National Structure Inventory through BRAILS, as the current version of the software cannot obtain building occupancy classes at HAZUS-level granularity
3) This inventory contains a 13-floor hotel building. The simulation results for this building should be evaluated carefully, given that the HAZUS methodology may not be sufficiently detailed for this type of building.

I hope this helps!
64
Thanks for the reply.
I am not familiar with Python. I have downloaded the version 4.0.1 and the same error is shown. Maybe I am doing wrong. Could you please send me the Inventory CSV file of 1695 buildings that you got from Brails? I just need the file to simulate the Scenario for the earthquake.
Thanks
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If the UCERF earthquake rupture forecasting model is used, the uncertainty of the source model is considered in UCERF. For OpenQuake ERF, uncertainty is typically considered with logic trees. However, logic trees are not implemented in R2D now. After earthquake scenarios are generated, R2D uses empirical ground motion prediction equations to generate ground motion intensity measure fields. The uncertainty of GMPEs is considered by modeling the IMs as random fields with distributions as specified in the spatial correlation models. Hope this answers your questions.

Best,

Jinyan
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Regional Hazard Simulation (R2D, rWhale) / Re: earthquake hazard scenarios
« Last post by jyzhao on January 21, 2024, 05:39:02 AM »
The earthquake hazard scenarios in R2D are generated using either UCERF or OpenQuake. Some details are described at https://nheri-simcenter.github.io/R2D-Documentation/common/user_manual/usage/desktop/R2DTool/tools.html#earthquake-scenario-simulation.
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Regional Hazard Simulation (R2D, rWhale) / Re: Incomplete building information
« Last post by jyzhao on January 21, 2024, 05:36:42 AM »
The minimum building information depends on the types of analysis you would like to perform in the workflow. In general, the minimum building information is the geological location of the building and the information needed to carry out the structural model specified in the MOD panel and the damage and loss model in the DL panel. You could refer to the built-in R2D examples for what information is needed for typical R2D use cases.
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Thank you all for your interest in BRAILS. The latest version of BRAILS fully addresses this issue.

If you have any further questions or comments, please let me know.
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AI use in Regional Simulation (BRAILS) / Re: Where are the building images saved?
« Last post by bacetiner on January 17, 2024, 09:46:33 PM »
There has been a slight change in the way BRAILS stores building imagery. It now saves street-level and aerial imagery in your working directory in the tmp/images/street and tmp/images/satellite folders, respectively.

I hope this helps!
70
Thank you for using the SimCenter Forum!

The issue with setting the random seed and number of buildings in the BRAILS widget was addressed in R2D version 4.0.0. This new version of the R2D is currently only available on GitHub, but the installation media should be out soon.

On another note, I am able to run this query using the BRAILS backend just okay. If you are familiar with Python programming, I may be able to help you get this inventory using the BRAILS backend. The backend has several additional options that, in some instances, allow for better inventory generation. For example, for your region, by changing the source of the footprints, I am able to get an inventory of 1695 buildings (instead of 119 buildings as obtained from OpenStreetMaps).

Please let me know how I can assist you better!

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