Shijie Zhai , Guangyin Du , Tengyuan Zhao , Yong Yang , Xiaohan He , Zifan Wang
{"title":"考虑空间变异性的可液化土振动探头压实效果概率评价","authors":"Shijie Zhai , Guangyin Du , Tengyuan Zhao , Yong Yang , Xiaohan He , Zifan Wang","doi":"10.1016/j.enggeo.2025.108179","DOIUrl":null,"url":null,"abstract":"<div><div>This study assesses the role of the vibratory probe compaction method (VPCM) in mitigating liquefaction hazards, considering the spatial variability of the cyclic resistance ratio (CRR). A Bayesian framework was employed to identify statistically homogeneous CRR layers and the random field model parameters to accurately determine the impact of VPCM on CRR at different depths. The liquefiable to total soil thickness ratio was probabilistically determined using Monte Carlo simulations to identify liquefiable soil layers and quantify liquefaction severity. Results reveal that VPCM homogenizes CRR statistical properties across soil layers during treatment. Shallow layers showed reduced CRR uncertainty and scale of fluctuation due to loosening, whereas deeper layers exhibited improved liquefaction resistance but increased CRR variability. Probabilistic analysis was conducted to evaluate liquefaction risk in statistically homogeneous soil layers. Deep liquefiable soil layers transitioned from severe liquefaction susceptibility to slight or no liquefaction after treatment. These findings highlight VPCM's dual role: effectively reducing liquefaction severity in deep layers while introducing depth-dependent trade-offs in soil homogeneity and uncertainty. The method offers a viable mitigation strategy when prioritizing deep-layer stability over shallow-layer CRR consistency.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"354 ","pages":"Article 108179"},"PeriodicalIF":8.4000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probabilistic evaluation of vibratory probe compaction effects on liquefiable soil considering spatial variability\",\"authors\":\"Shijie Zhai , Guangyin Du , Tengyuan Zhao , Yong Yang , Xiaohan He , Zifan Wang\",\"doi\":\"10.1016/j.enggeo.2025.108179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study assesses the role of the vibratory probe compaction method (VPCM) in mitigating liquefaction hazards, considering the spatial variability of the cyclic resistance ratio (CRR). A Bayesian framework was employed to identify statistically homogeneous CRR layers and the random field model parameters to accurately determine the impact of VPCM on CRR at different depths. The liquefiable to total soil thickness ratio was probabilistically determined using Monte Carlo simulations to identify liquefiable soil layers and quantify liquefaction severity. Results reveal that VPCM homogenizes CRR statistical properties across soil layers during treatment. Shallow layers showed reduced CRR uncertainty and scale of fluctuation due to loosening, whereas deeper layers exhibited improved liquefaction resistance but increased CRR variability. Probabilistic analysis was conducted to evaluate liquefaction risk in statistically homogeneous soil layers. Deep liquefiable soil layers transitioned from severe liquefaction susceptibility to slight or no liquefaction after treatment. These findings highlight VPCM's dual role: effectively reducing liquefaction severity in deep layers while introducing depth-dependent trade-offs in soil homogeneity and uncertainty. The method offers a viable mitigation strategy when prioritizing deep-layer stability over shallow-layer CRR consistency.</div></div>\",\"PeriodicalId\":11567,\"journal\":{\"name\":\"Engineering Geology\",\"volume\":\"354 \",\"pages\":\"Article 108179\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2025-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Geology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0013795225002753\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Geology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0013795225002753","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
Probabilistic evaluation of vibratory probe compaction effects on liquefiable soil considering spatial variability
This study assesses the role of the vibratory probe compaction method (VPCM) in mitigating liquefaction hazards, considering the spatial variability of the cyclic resistance ratio (CRR). A Bayesian framework was employed to identify statistically homogeneous CRR layers and the random field model parameters to accurately determine the impact of VPCM on CRR at different depths. The liquefiable to total soil thickness ratio was probabilistically determined using Monte Carlo simulations to identify liquefiable soil layers and quantify liquefaction severity. Results reveal that VPCM homogenizes CRR statistical properties across soil layers during treatment. Shallow layers showed reduced CRR uncertainty and scale of fluctuation due to loosening, whereas deeper layers exhibited improved liquefaction resistance but increased CRR variability. Probabilistic analysis was conducted to evaluate liquefaction risk in statistically homogeneous soil layers. Deep liquefiable soil layers transitioned from severe liquefaction susceptibility to slight or no liquefaction after treatment. These findings highlight VPCM's dual role: effectively reducing liquefaction severity in deep layers while introducing depth-dependent trade-offs in soil homogeneity and uncertainty. The method offers a viable mitigation strategy when prioritizing deep-layer stability over shallow-layer CRR consistency.
期刊介绍:
Engineering Geology, an international interdisciplinary journal, serves as a bridge between earth sciences and engineering, focusing on geological and geotechnical engineering. It welcomes studies with relevance to engineering, environmental concerns, and safety, catering to engineering geologists with backgrounds in geology or civil/mining engineering. Topics include applied geomorphology, structural geology, geophysics, geochemistry, environmental geology, hydrogeology, land use planning, natural hazards, remote sensing, soil and rock mechanics, and applied geotechnical engineering. The journal provides a platform for research at the intersection of geology and engineering disciplines.