The Damage and Loss Model Library (DLML) is a curated, version-controlled collection that the SimCenter has developed and maintains for performance based engineering. It includes the FEMA P-58 component library, Hazus building and infrastructure models, and models from the research community in a single standardized format, with every model traceable to its source. The library is the default model source for Pelicun, and so it underlies the analyses run in the PBE and R2D applications.
Each model’s information in one panel: technical notes, damage states, repair actions, fragility curves.
DLML Explorer is a web interface that streamlines access to information in the DLML. It enables engineers and researchers to search the library, review the parameters and metadata behind individual models, compare them side by side, and download a model dataset needed for a project — without working directly with the underlying data files.
The DLML Explorer can be installed the underlying library with pip install simcenter-dlml, which bundles the data and provides a Python API for reading model parameters, metadata and schemas; adding the [explorer] extra to the install command lets you run the web interface locally. Both are distributed under the BSD 3-Clause license, which means commercial use is supported. The DLML Explorer's “About” page covers the library and its governance in more detail.
The next step is contribution: making it straightforward for researchers and practitioners to add models, and ensuring that every model entering the library arrives with the documentation that makes it credible. The SimCenter Wind Component Library is an example of what that looks like — each of its models ships with the reference to the research behind it. If you have models you would like to see included, or thoughts on what would make the DLML Explorer more useful, join the discussion.
The DLML Explorer was developed by the NHERI SimCenter with a generous in-kind contribution from Degenkolb Engineers. This material is based upon work supported by the U.S. National Science Foundation under Grants No. 1612843 and No. 2131111. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation or Degenkolb Engineers.
How to cite:
Adam Zsarnoczay, Citation needed
Deierlein, G.G., McKenna, F., et al. (2020). A Cloud-Enabled Application Framework for Simulating Regional-Scale Impacts of Natural Hazards on the Built Environment. Frontiers in Built Environment. 6, 196. doi: 10.3389/fbuil.2020.558706.
