Technical Papers
Jul 11, 2024

Weighing the Influence of Geological and Geotechnical Factors in Soil Liquefaction Assessments

Publication: Natural Hazards Review
Volume 25, Issue 4

Abstract

History has shown that soil liquefaction could render buildings or infrastructures nonserviceable. It is understood that the soil liquefaction potential depends on the geotechnical engineering properties at the site and the regional seismicity in the surroundings, which are referred to as the geotechnical and geological factors in this paper. This research aims to explore their respective effect on soil liquefaction assessments. To investigate the effects, the (real) data from two cities in Taiwan were used as the problem sets, and the liquefaction factors of safety for the liquefiable soil at the sites were computed under different circumstances. The research found that regardless of the circumstances, the geological factor plays a predominant role over the geotechnical factor in soil liquefaction assessment. The sensitivity of the geological factor is over 95% quantified with the variance-based sensitivity analysis. Accordingly, one recommendation is that the practitioners should spend more effort characterizing the geological data in soil liquefaction assessment, which can obtain a more reliable outcome, which is the significance of this novel research.

Practical Applications

The result of a soil liquefaction assessment depends on geological and geotechnical parameters. This research aims to quantify which is more predominant in soil liquefaction assessment. This transparent (sensitivity) study used the analytics called the variance-based sensitivity analysis. Using the accurate soil data in Taiwan and the geological models developed for the region, it was found that the geological factor is predominant in soil liquefaction assessment. Accordingly, when conducting a soil liquefaction assessment in the future, practitioners should spend more effort on characterizing the geological parameters, by which a more reliable outcome could be obtained.

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Data Availability Statement

All data and models used during this study appear in the published article.

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Natural Hazards Review
Volume 25Issue 4November 2024

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Received: Nov 26, 2023
Accepted: May 3, 2024
Published online: Jul 11, 2024
Published in print: Nov 1, 2024
Discussion open until: Dec 11, 2024

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Professor, Dept. of Civil Engineering, National Central Univ., Taoyuan City, Taiwan (corresponding author). Email: [email protected]
Chung-Chun Teng
Dept. of Civil Engineering, National Central Univ., Taoyuan City, Taiwan.
Chia-Ying Sung
Dept. of Civil Engineering, National Central Univ., Taoyuan City, Taiwan.
Yun Xu
ChongQing Civicism Construction Project Management Co., 73 Beichu Rd. Floor 11, Chong Qing 400010, China.

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