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s3hark

A SimCenter Tool For Site Response Analysis

DOI

image

What is s3hark

s3hark is the acronym of site-specific seismic hazard analysis and research kit. This tool focuses on simulating wave propagation along soil depth using finite element (FE) method. The intended audience for s3hark is researchers and practitioners interested in performing site-specific analysis of soil in response to earthquakes, and educators interested in teaching site response analysis in their classes. The tool provides a friendly interface for users to input and modify soil layers using tables, while the built soil profile and the FE mesh being visualized simultaneously. Results including acceleration, velocity, displacement, pore pressure, spectral acceleration, etc., are visualized for the soil profile and for each node as well, from which the user can comprehend the wave propagation and liquefaction status along the soil depth.

Features of s3hark include:

  • 2D and 3D elements for dynamic analysis of fluid saturated porous media
  • Advanced linear / nonlinear soil material models
  • Total stress / effective stress analysis
  • Bi-directional motions
  • Flat / slope free field analysis
  • Finite rigidity of the bedrock

Available material models:

Material models Usage Status
ElasticIsotropic 2D/3D
PM4Sand 2D
PM4Silt 2D
PressureIndependMultiYield 2D/3D
PressureDependMultiYield 2D/3D
PressureDependMultiYield02 2D/3D
ManzariDafalias 2D/3D
Borja-Amies 3D

Instructions for users

Quick start

Instructions for developers: how to build

1. Make sure the paths of your blas and lapack are set correctly in s3hark.pri

2. Make sure you have fortran and c++ compilers installed.

3. Build s3hark by clicking Run in Qt Creator

How to Cite

You can cite this software as follows:

Charles Wang, Frank McKenna, Peter Mackenzie-Helnwein, Adam Zsarnoczay, Wael Elhaddad, Michael Gardner, & Pedro Arduino. (2019, October 11). NHERI-SimCenter/s3hark: Release v1.1.2 (Version 1.1.2). Zenodo. http://doi.org/10.5281/zenodo.3483211

Acknowledgement

This material is based upon work supported by the NSF National Science Foundation under Grant No. 1612843.

Long Chen and Andrew Makdisi at University of Washington, Gregor Vilhar at PLAXIS, BV contributed to the verification of PM4Sand model.

Contact

Charles Wang, NHERI SimCenter, UC Berkeley, c_w@berkeley.edu