GIRS Reports: 2024
By: Timothy M. O'Donnell, Paolo Zimmaro, Eric J. Fielding, and Jonathan P. Stewart
DOI: 10.34948/N31S3C
We propose the first framework for quantitative validation of DPMs and apply it to a variety of damage types.
By: Renmin Pretell, Scott J. Brandenberg, and Jonathan P. Stewart
DOI: 10.34948/N35K59
This study addresses the limitations of the PGA values used in developing liquefaction triggering models for the 565 liquefaction case history sites in the next Generation Liquefaction (NGL) database.
By: Rashid Shams and Chukwuebuka C. Nweke
DOI: 10.34948/N3988K
This research demonstrates the potential of geometric parameters to enhance site response predictions in sedimentary basins, offering a path towards more accurate seismic hazard characterization.
By: Tingting Cheng and Ali Mosleh
Prepared for the Nuclear Regulatory Authority, Tokyo, Japan.
By: Timothy M. O’Donnell, Kenneth S. Hudson, Francisco Javier G. Ornelas, Jonathan P. Stewart, Scott J. Brandenberg, Chukwuebuka C. Nweke, and Paolo Zimmaro
DOI: 10.34948/N3F302
Following and during the 2019 Ridgecrest Earthquake Sequence (July 4 M6.5 event and July 5 M7.1 event), the Geotechnical Extreme Events Reconnaissance (GEER) Association conducted reconnaissance in areas with extensive surface manifestation of liquefaction at Searles Lake, near Trona and Argus, CA (GEER 2019, Zimmaro et al. 2020).
By: Richard J Armstrong
DOI: 10.34948/N3PK5Z
In this study, nonlinear deformation analyses (NDA) and equivalent-static analyses (ESA) approaches were evaluated for a model bridge embankment that was underlain by a non-liquefiable crust layer, a liquefiable medium dense sand layer, and a non-liquefiable deep dense sand layer.