Regional characterization of vs30 with hybrid geotechnical and geological data

作     者：Wenxin Liu C.Hsein Juang Yanjv Peng Guoxing Chen 

作者机构：College of Civil Engineering and ArchitectureZhejiang Sci-Tech UniversityHangzhou 310018China Glenn Department of Civil EngineeringClemson UniversitySC 29634USA National Institute of Natural HazardsMinistry of Emergency ManagementBeijing 100085China Institute of Geotechnical EngineeringNanjing Tech UniversityNanjing 210009China 

出 版 物：《Underground Space》 (地下空间（英文）)

年 卷 期：2023年第11卷第4期

页      面：218-231页

核心收录：

学科分类：08[工学] 080104[工学-工程力学] 0815[工学-水利工程] 0801[工学-力学（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.5210082052) the Zhejiang Provincial Natural Science Foundation,China(Grant No.LQ22E080028) the Science Foundation of Zhejiang Sci-Tech University,China(Grant No.19052459-Y) 

主　　题：Shear wave velocity Random field model Uncertainty Vs30 mapping 

摘      要：Regional characterization of soil properties requires not only geostatistical models considering the spatial variability of soil properties but also methods that account for various sources of heterogeneous *** paper presents a multi-conditional random field approach to characterize the regional characteristics of the average shear-wave velocity in the top 30 meters of subsoil(vs30)based on hybrid geotechnical and geological *** workflow for integrating multiple sources of soil properties information in a random field model for regional vs30 mapping is developed.A detailed two-dimensional(2D)synthetic digital soil field is generated to assess and verify this *** the generated synthetic field,parametric studies on the investigation plans,the value of Markov Bayes coefficient B,element size,and a predefined grid of secondary data are *** on whether to incorporate secondary data for vs30 mapping and the determination of coefficient B are provided.