October 7, 2019 Software Open Access

Charles Wang; Frank McKenna

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{
  "description": "<p>This application will allow the user to explore how different modeling assumptions affect the response of a concrete shear wall element and how the simulated response compares with actual experimental data. Machine learning algorithms are inserted into the backend to help users choose reasonable parameters for the model.&nbsp;</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "University of California, Berkeley", 
      "@type": "Person", 
      "name": "Charles Wang"
    }, 
    {
      "affiliation": "University of California, Berkeley", 
      "@type": "Person", 
      "name": "Frank McKenna"
    }
  ], 
  "url": "https://zenodo.org/record/3475481", 
  "codeRepository": "https://github.com/NHERI-SimCenter/SWIM/tree/v1.0.1", 
  "datePublished": "2019-10-07", 
  "version": "v1.0.1", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3475481", 
  "@id": "https://doi.org/10.5281/zenodo.3475481", 
  "@type": "SoftwareSourceCode", 
  "name": "NHERI-SimCenter/SWIM: Release v1.0.1"
}