Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Ellen M. Rathje"'
Publikováno v:
Frontiers in Built Environment, Vol 10 (2024)
Introduction: Earthquake-induced liquefaction can cause substantial lateral spreading, posing threats to infrastructure. Machine learning (ML) can improve lateral spreading prediction models by capturing complex soil characteristics and site conditio
Externí odkaz:
https://doaj.org/article/4cc72c1102424ffd96ffae444d5c521a
Autor:
Ellen M. Rathje, Clint Dawson, Jamie E. Padgett, Jean-Paul Pinelli, Dan Stanzione, Pedro Arduino, Scott J. Brandenberg, Tim Cockerill, Maria Esteva, Fred L. Haan, Ahsan Kareem, Laura Lowes, Gilberto Mosqueda
Publikováno v:
Frontiers in Built Environment, Vol 6 (2020)
The DesignSafe cyberinfrastructure (www.designsafe-ci.org) is part of the NSF-funded Natural Hazard Engineering Research Infrastructure (NHERI) and provides cloud-based tools to manage, analyze, understand, and publish critical data for research to u
Externí odkaz:
https://doaj.org/article/5153cc0ef0ee4b669b82f67f65889dc7
Publikováno v:
Frontiers in Built Environment, Vol 5 (2019)
Field observations are particularly important in geotechnical engineering, because it is difficult to replicate in the laboratory the response of soil deposits built by nature over thousands of years. Detailed mapping of damaged and undamaged areas p
Externí odkaz:
https://doaj.org/article/26f440e2fde34da8b3d6fe5ca398d3b7
Autor:
Zach Bullock, Paolo Zimmaro, Grigorios Lavrentiadis, Pengfei Wang, Olaide Ojomo, Domniki Asimaki, Ellen M Rathje, Jonathan P Stewart
Publikováno v:
Earthquake Spectra. 39:1189-1213
This paper presents a model for distributing zones of liquefaction and nonliquefaction for use in regional liquefaction risk analysis. There are two broad methodologies that have been used to evaluate liquefaction risk on the regional scale: (a) appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15dd3fc51e359108558e7ad34b49b7e5
https://doi.org/10.1177/87552930231163894
https://doi.org/10.1177/87552930231163894
Autor:
Meibai Li, Ellen M Rathje
Publikováno v:
Earthquake Spectra. 39:454-477
The P-wave seismogram method is utilized to estimate the V S30 at 194 ground motion recording stations in California. Comparison with the measured V S30 at these sites shows an average overestimation of 9%, which is similar to values reported by othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::612211ea95b0803643e0f4dfedc42026
https://doi.org/10.1177/87552930221114371
https://doi.org/10.1177/87552930221114371
Publikováno v:
Earthquake Spectra. 38:521-542
A Texas-specific [Formula: see text] map that uses geostatistical kriging integrated with a region-specific geologic proxy, field measurements of [Formula: see text], and P-wave seismogram estimates of [Formula: see text] is developed. The region-spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7856e997c47d95a8b0b8a0c2fefdb21d
https://doi.org/10.1177/87552930211033622
https://doi.org/10.1177/87552930211033622
Autor:
Eric M. Thompson, Walter J. Silva, Ellen M. Rathje, David M. Boore, Albert R. Kottke, Christine A. Goulet, Tadahiro Kishida, Yousef Bozorgnia, Norman A. Abrahamson, Justin Chow Hollenback, Xiaoyue Wang, Olga-Joan Ktenidou
Publikováno v:
Earthquake Spectra. 37:1420-1439
Traditional ground-motion models (GMMs) are used to compute pseudo-spectral acceleration (PSA) from future earthquakes and are generally developed by regression of PSA using a physics-based functional form. PSA is a relatively simple metric that corr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12c72d0f72ce5d970860ad874db362cb
https://doi.org/10.1177/87552930211019052
https://doi.org/10.1177/87552930211019052
Autor:
Jonathan P. Stewart, Halil Uysal, Kenneth W. Campbell, Youssef M. A. Hashash, Walter J. Silva, Okan Ilhan, Sissy Nikolaou, Ellen M. Rathje
Publikováno v:
Earthquake Spectra. 37:1516-1533
The Next Generation Attenuation Relationships for Central & Eastern North-America (NGA-East) Geotechnical Working Group (GWG) has presented models for site amplification in Central and Eastern North America that represent a significant change from pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::480457388b0ff9a4f983888bd6190736
https://doi.org/10.1177/87552930211020770
https://doi.org/10.1177/87552930211020770
Publikováno v:
Earthquake Spectra. 37:2288-2314
The recent availability of large amounts of high-quality data from post-disaster field reconnaissance enables an exploration of the use of machine learning (ML) approaches to predict earthquake-induced damage. The 2011 Christchurch earthquake in New
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a9ac38ee590d7643116e19eeab62bf1
https://doi.org/10.1177/87552930211004613
https://doi.org/10.1177/87552930211004613