Multiscale Random Field-Based Shear Wave Velocity Mapping and Site Classification

Wenxin Liu, Chaofeng Wang, Qiushi Chen, Guoxing Chen, C. Hsein Juang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


The average shear-wave velocity in the first 30 m of subsoil, Vs30, is a key indicator of site response affecting the ground-motion amplification for many earthquake-engineering applications. It is, therefore, of great importance to estimate Vs30 accurately, especially for significant civil projects. This paper presents a framework that utilizes multiscale random field models incorporated with spatial dependence of soil properties to estimate Vs30 at any location neighboring measured data with the secondary information at hilly area (U.S. Geological Survey global Vs30 map that is generated based on the topographic slope). The capability to consistently refine and generate estimates across different scales, from regional scale all the way to local site-specific scale, makes the developed framework able to provide high resolution estimates within any specified regions. Monte Carlo simulations are performed and a multiresolution map of Vs30 at Suzhou site is generated. The new map then applied to site classification. Feasible results obtained.

Original languageEnglish
Title of host publicationGeotechnical Special Publication
EditorsJinsong Huang, Gordon A. Fenton, Limin Zhang, D. V. Griffiths
PublisherAmerican Society of Civil Engineers (ASCE)
Number of pages10
EditionGSP 284
ISBN (Electronic)9780784480717
StatePublished - 2017
EventGeo-Risk 2017 - Denver, United States
Duration: 4 Jun 20177 Jun 2017

Publication series

NameGeotechnical Special Publication
NumberGSP 284
ISSN (Print)0895-0563


ConferenceGeo-Risk 2017
Country/TerritoryUnited States


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