Artificial Neural Networks for Civil Engineers: Fundamentals and Applications

by Nabil Kartam, Dept. of Civ. Engrg., Kuwait Univ., P.O. Box 5969, Safat, Kuwait,
Ian Flood, ME Rinker Sr. School of Building Construction, Florida,
James H. Garrett, Jr., (M.ASCE), Dept. of Civ. and Environ. Engrg., Carnegie Mellon Univ., NJ,


American Society of Civil Engineers, New York, NY
978-0-7844-0225-2 (ISBN-13) | 0-7844-0225-6 (ISBN-10), 1997, Soft Cover, Pg. xv, 216
26 cm, By the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE
Out of Print: Not available at ASCE Bookstore.


Document Type: Book

Abstract:

Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE.

This report describes the potential of artificial neural networks for solving problems related to civil engineering and provides guidance successfully implementing such networks for a broad range of problem types. The first part of this report addresses fundamental issues in the selection, development, and use of neural networks. The second part presents example applications using neural networks. The examples include: locating structural damage; controlling structures; assisting project owners in selecting bidders; and modeling the stress?strain relationship of sand and clay type soils.

Many of the ideas and techniques presented in this book are immediately useful across the disciplinary boundaries and, therefore, should be of interest to all civil engineers.

Subject Headings: Neural networks | Penetration tests | Soil liquefaction | Systems engineering | Soil stress | Soil classification | Clays

 

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