Skip to main navigation Skip to search Skip to main content

Probabilistic Assessment of Soil Liquefaction Potential Using CPT-Based Smart Site Investigation Strategy

Zheng Guan, Yu Wang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In engineering practice, cone penetration tests (CPTs) are often used in geotechnical site characterization to assess liquefaction potential of granular soils. It is widely recognized that soil liquefaction assessment results interpreted from a limited number of investigation points may contain multiple sources of uncertainties. Increasing the number of investigation points is a straightforward way to improve the reliability level of interpreted liquefaction assessment results. However, no rational or scientific methods regarding the optimal placement of investigation points is available for probabilistic soil liquefaction assessment. To address this challenge, this paper proposes a CPT-based smart site investigation strategy for probabilistically evaluating soil liquefaction potential in a cross-section with proper consideration of various sources of uncertainties and soil spatial variability. © 2023 by the American Society of Civil Engineers.
Original languageEnglish
Title of host publicationGEO-RISK 2023
Subtitle of host publicationAdvances in Modeling Uncertainty and Variability
EditorsJianye Ching, Shadi Najjar, Zenon Medina-Cetina
PublisherAmerican Society of Civil Engineers
Pages145–154
ISBN (Electronic)978-0-7844-8499-9
DOIs
Publication statusPublished - 2023
EventGeo-Risk 2023: Advances in Theory and Innovation in Practice - DoubleTree by Hilton, Arlington, United States
Duration: 23 Jul 202326 Jul 2023
https://www.geo-risk.org/

Publication series

NameGeotechnical Special Publication
Number347

Conference

ConferenceGeo-Risk 2023: Advances in Theory and Innovation in Practice
PlaceUnited States
CityArlington
Period23/07/2326/07/23
Internet address

Funding

The work described in this paper was supported by a grant from the Research Grant Council of Hong Kong Special Administrative Region (Project No: CityU 11203322), a grant from The Science and Technology Development Fund, Macau Special Administrative Region (File/Project No: SKL-IOTSC(UM)-2021-2023), and a grant from Shenzhen Science and Technology Innovation Commission (Shenzhen-Hong Kong-Macau Science and Technology Project (Category C) No: SGDX20210823104002020), China. The financial support is gratefully acknowledged.

RGC Funding Information

  • RGC-funded

Fingerprint

Dive into the research topics of 'Probabilistic Assessment of Soil Liquefaction Potential Using CPT-Based Smart Site Investigation Strategy'. Together they form a unique fingerprint.

Cite this