Location
St. Louis, Missouri
Presentation Date
14 Mar 1991, 10:30 am - 12:30 pm
Abstract
There are many uncertain factors influencing the field sand liquefaction induced by earthquake, therefore, the predictions of available methods are usually unsatisfactory. In this paper, a new way is developed, i.e., according to the available field sand liquefaction data, the influencing factors are optimized by optimum seeking method, then the prediction is made on the optimized results. By this method, 20 field cases are predicted and the correct rate is 95%. It proves that the suggested method is effective and feasible.
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
Jian, Du and Lianyang, Zhang, "Prediction of Field Sand Liquefaction Caused by Earthquake by Optimum Seeking Method" (1991). International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics. 40.
https://scholarsmine.mst.edu/icrageesd/02icrageesd/session03/40
Included in
Prediction of Field Sand Liquefaction Caused by Earthquake by Optimum Seeking Method
St. Louis, Missouri
There are many uncertain factors influencing the field sand liquefaction induced by earthquake, therefore, the predictions of available methods are usually unsatisfactory. In this paper, a new way is developed, i.e., according to the available field sand liquefaction data, the influencing factors are optimized by optimum seeking method, then the prediction is made on the optimized results. By this method, 20 field cases are predicted and the correct rate is 95%. It proves that the suggested method is effective and feasible.
