State Parameter Based Liquefaction Probability Evaluation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Polymers and Plastics,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40891-023-00495-2.pdf
Reference77 articles.
1. Chen Z, Chen Y, Zhang Y, Liu X, Xiao P, Samui P (2022) Assessment of liquefaction-induced lateral spread using soft computing approaches. Gondwana Res. https://doi.org/10.1016/J.GR.2022.08.006
2. Bolton SH, Idriss IM (1971) Simplified procedure for evaluating soil liquefaction potential. J Soil Mech Found Div 97(9):1249–1273. https://doi.org/10.1061/JSFEAQ.0001662
3. Youd TL, Idriss IM (2001) Liquefaction resistance of soils: summary report from the 1996 NCEER and 1998 NCEERNSF workshops on evaluation of liquefaction resistance of soils. J Geotech Geoenviron Eng 127(4):297–313. https://doi.org/10.1061/(ASCE)1090-0241(2001)127:4(297)
4. Johari A, Khodaparast AR (2014) Analytical reliability assessment of liquefaction potential basedon cone penetration test results. Sci Iran 21(5):1549–1565
5. Juang CH, Ching J, Ku CS, Hsieh YH (2015) Unified CPTu-based probabilistic model for assessing probability of liquefaction of sand and clay. Géotechnique 62(10):877–892. https://doi.org/10.1680/GEOT.9.P.025
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Reliability‐based state parameter liquefaction probability prediction using soft computing techniques;Geological Journal;2024-08-21
2. Advanced machine learning approaches for uniaxial compressive strength prediction of Indian rocks using petrographic properties;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-07-03
3. Investigation of the Behavior of Sand Under Repeated Dynamic Loads Using a Large-Scale Model of Soil Base;IOP Conference Series: Earth and Environmental Science;2024-07-01
4. Machine Learning-Aided Monte Carlo Simulation and Subset Simulation;Transportation Research Record: Journal of the Transportation Research Board;2024-06-08
5. Assessment of maximum liquefaction distance using soft computing approaches;GEOMECH ENG;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3