Assessment of Wave-Induced Liquefaction in a Porous Seabed: Application of an ANN Model

No Thumbnail Available
File version
Author(s)
Cha, Fred
Jeng, Dong-Sheng
Blumenstein, Michael
Primary Supervisor
Other Supervisors
Editor(s)

Kamran, Muhammad

Zhang, Shichao

Date
2004
Size
File type(s)
Location
License
Abstract

An evaluation of wave-induced liquefaction is one of the most important factors, which must be considered in the design of marine structures. Numerous models for wave-induced liquefaction have been proposed in the past. However, all previous models have been based on the conventional approaches of engineering mechanics with limited laboratory work. Unlike previous research, we propose an alterative approach, based on an artificial neural network (ANN), for the prediction of the maximum liquefaction depth. Numerical examples demonstrate the capacity of the proposed ANN model for the prediction of wave-induced liquefaction depth, which provides civil engineers with another effective tool.

Journal Title

Asian Journal of Information Technology

Conference Title
Book Title
Edition

May, 2004

Volume

3

Issue

5

Thesis Type
Degree Program
School
DOI
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Information Systems

Cognitive Sciences

Persistent link to this record
Citation
Collections