• Corpus ID: 252531600

Data-driven numerical site response

@inproceedings{GarciaSuarez2022DatadrivenNS,
  title={Data-driven numerical site response},
  author={Joaquin Garcia‐Suarez and Arthur Cornet and Sacha Wattel and Jean-François Molinari},
  year={2022}
}

• J. Garcia‐Suarez, Arthur Cornet, +1 author J. Molinari
• Published 26 September 2022
• Engineering

of the application of multiscale its capacity to wave propagation problems using discrete datasets, obtained via sampling grain ensembles using the discrete element method (DEM), in lieu of a constitutive law and then we apply it specifically to analyze the propagation of harmonic waves in a soft soil deposit that overlies rigid bedrock. The soil in this displays elastic yet non-linear response that is depth-dependent to evolving overburden pressure. We validate the implementation via comparison to regular finite elements analyses (FEA), discuss the benefits of using DD, and demonstrate that traditional amplification functions are recovered when using the DDCM. Finally, we discuss a number of future work opportunities that lie ahead of this proof-of-concept, chiefly in terms of site-specific studies and incorporating more complex realistic traits of soil behavior. This project was developed using open-source software and the relevant code is freely made available to other researchers.