.. _lbl-capabilities_eeuq: .. role:: blue ************ Capabilities ************ **Version** |tool version| of |app| was released **April 2024**. The following is the functionality available in this current version. New features and fixes in this release are marked :blue:`blue` in the following list of features. The major update from Version 4.0 is upgrading the :blue:`regional earthquake event generation tool`, :blue:`regional inventory generation tool BRAILS`, and :blue:` damage and loss engine Pelicun`. **Release date:** April, 2024 #. **Hazard Types**: * :ref:`User specified earthquakes `. * :ref:`User specified hurricanes `. * :ref:`ShakeMap Scenarios `, which supports importing the following ShakeMap outputs: a. ShakeMap ground motion grid in .xml format. b. PGA contours in .json format. c. Fault rupture in .json format. * :ref:`Raster Defined Hazard ` for Earthquake, Hurricane, Inundation**. * **GIS Defined Hazard for Earthquake, Hurricane, Inundation**. #. **Asset Types**: * :ref:`Buildings `: a. Load building database in a ``.csv`` format. b. Load building database in a ``.gis`` format. * :ref:`Transportation infrastructure `: a. :blue:`Load transportation infrastructure database in SimCenter's` ``.geojson`` :blue:`format.` b. :blue:`Load transportation infrastructure database in common` ``.gis`` :blue:`format.` #. **Asset Modeling**: * :ref:`Buildings `: a. MDOF-LU (MDOF shear building model) b. OpenSeesPy script building generator c. IMasEDP, i.e., no structural modeling, and the Intensity Measures (IMs) are considered the Engineering Demand Parameters (EDPs) d. CustomPy * :ref:`Transportation infrastructure `: a. IMasEDP, i.e., no structural modeling, and the Intensity Measures (IMs) are considered the Engineering Demand Parameters (EDPs) #. **Asset Analysis**: * :ref:`Buildings `: a. OpenSees b. OpenSeesPy c. IMasEDP, i.e., no analysis as the IM is considered the EDP d. CustomPy for CustomPy in Asset Modeling e. None for IMasEDP option in Modeling. * :ref:`Transportation infrastructure `: a. None for IMasEDP option in Modeling. #. **Damage and Loss**: * :ref:`Buildings `: * Pelicun a. HAZUS MH EQ b. HAZUS MH EQ IM c. HAZUS MH HU * :ref:`Transportation infrastructure ` a. HAZUS MH EQ b. HAZUS MH EQ IM #. **Uncertainty Quantification**: * :ref:`Dakota `: a. Latin hypercube sampling (LHS) b. Monte Carlo Sampling (MCS) #. ** Additional Tools To Perform Tasks Generating or Using Data in Workflow**: * :ref:`Earthquake Scenario Simulation ` (ground motion selection) * Site definition: a. Grid b. Point c. Scattered sites (user-defined sites in .csv format) * Rupture forecast models: a. OpenSHA UCERF rupture forecast models b. OpenSHA Point source user-defined c. OpenQuake rupture forecast d. Hazard Occurrence Model * Inter-event correlation: a. Baker and Jayaram (2008) * Intra-event correlation: a. Jayaram and Baker (2009) b. Markhvida et al. (2017) c. Loth and Baker (2013) * Record selection: a. PEER NGA West 2 ground motion database b. None, i.e., stop at the IM stage and no record selection * Ground motion models: a. Abrahamson, Silva & Kamai (2014) b. Boore, Stewart, Seyhan & Atkinson (2014) c. Campbell & Bozorgnia (2014) d. Chiou & Youngs (2014) * Intensity measures: a. Spectral acceleration (SA) b. Peak ground acceleraation (PGA) c. Peak ground velocity (PGV) * Ground failure models: a. Liquefaction triggering 1. Zhu et al. (2017) 2. Hazus (2020) b. Liquefaction lateral spreading permenant ground deformation (PGD_h) 1. Hazus (2020) c. Liquefaction settlement permenant ground deformation (PGD_v) 1. Hazus (2020) * Vs30 model: a. CGS/Wills Vs30 (Wills et al., 2015) b. Thompson California Vs30 (Thompson et al., 2018) c. Global Vs30 (Heath et al., 2020) d. User Defined * :ref:`Hurricane Scenario Simulation ` (hurricane wind field generation) * Site definition: a. Grid * Hurricane track definition: a. User-defined sites in .csv format b. Select from a database of historical hurricanes c. Truncate hurricane track functionality * Landfall location and parameters: a. User selects on GIS map b. Manual user entry in the input box * Wind field generation model: a. Snaiki and Wu (2017) * :ref:`OpenQuake Selection ` * :ref:`Census Data & American Community Survey ` * :ref:`BRAILS `_ * Building inventory generation * Transportation inventory generation