Probabilistic Methods for Structural Safety Evaluation | Damage Detection and Reliability Analysis of Structures

Ching-Tai Ng

ISBN 10: 3639367898 / ISBN 13: 9783639367898

Published by VDM Verlag Dr. Müller, 2011

About this Item

Probabilistic Methods for Structural Safety Evaluation | Damage Detection and Reliability Analysis of Structures | Ching-Tai Ng | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | VDM Verlag Dr. Müller | EAN 9783639367898 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 106902348

Bibliographic Details

• Title: Probabilistic Methods for Structural Safety Evaluation | Damage Detection and Reliability Analysis of Structures
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2011
• Language: English
• ISBN 10: 3639367898
• ISBN 13: 9783639367898
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 222 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Probabilistic methods have been widely employed in many areas of engineering and science, especially civil engineering, electrical engineering, statistical physics and information sciences. They are also ideal for damage detection and reliability analysis of structures, given different types of uncertainty in these problems. This book presents some recent developments on the use of probabilistic methods to ensure safety of structures. Following a review of the state of the art in this field, the book introduces an artificial neural network design algorithm using Bayesian method and application in damage detection; a probabilistic approach for multiple cracks identification in beams; and reliability analysis of single-degree-of-freedom elastoplastic system using important sampling method.

About the Author

Ching-Tai Ng is a Lecturer in the School of Civil, Environmental & Mining Engineering at the University of Adelaide. His research interests focus on structural health monitoring, system identification, guided wave non-destructive evaluation, structural reliability and fiber reinforced composite materials.