Location
St. Louis, Missouri
Presentation Date
14 Mar 1991, 10:30 am - 12:30 pm
Abstract
The aim of this work is to establish a quantitative analysis approach of liquefaction hazard. Based on the microscopic field data of liquefaction it is pointed out that non-uniform settlement of building is the primary type of damages caused by sand liquefaction during earthquake. Then a computation algorithm for evaluating settlements is programmed on the basis of “Softening model” idea, and 33 liquefaction settlement events are evaluated by use of this test-computation approach. The results of these evaluations are in good agreement with the observed ones.
Department(s)
Civil, Architectural and Environmental Engineering
Meeting Name
2nd International Conference on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics
Publisher
University of Missouri--Rolla
Document Version
Final Version
Rights
© 1991 University of Missouri--Rolla, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Document Type
Article - Conference proceedings
File Type
text
Language
English
Recommended Citation
Xie, Junfei and Shi, Zhaoji, "Analysis of Liquefaction Hazard Due to Earthquake" (1991). International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics. 5.
https://scholarsmine.mst.edu/icrageesd/02icrageesd/session03/5
Included in
Analysis of Liquefaction Hazard Due to Earthquake
St. Louis, Missouri
The aim of this work is to establish a quantitative analysis approach of liquefaction hazard. Based on the microscopic field data of liquefaction it is pointed out that non-uniform settlement of building is the primary type of damages caused by sand liquefaction during earthquake. Then a computation algorithm for evaluating settlements is programmed on the basis of “Softening model” idea, and 33 liquefaction settlement events are evaluated by use of this test-computation approach. The results of these evaluations are in good agreement with the observed ones.