Structural Reliability Analysis and Prediction
Robert E. Melchers(Author)
Wiley (Publisher)
2nd Edition
Published on 25. February 1999
Book
Hardback
XVIII, 438 pages
978-0-471-98324-8 (ISBN)
Article exhausted; check for reprint
Description
This work addresses the analysis of the safety of existing structures, paying particular attention to performance and serviceability. The theory is developed from "limit state design" principles which are being introduced widely for codes of practice, and which are being increasingly based on probability/reliability concepts. The author highlights probability theory and its immediate application to structures and emphasises both the practical aspects and the underlying theory. Starting from basics, he builds up a picture of structural reliability analysis and prediction, avoiding undue mathematical rigour while emphasising physical interpretation.
More details
Edition
2., Aufl.
Language
English
Place of publication
Chichester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
illustrations, bibliography, references, index
Dimensions
Height: 25 cm
Width: 17.3 cm
Weight
896 gr
ISBN-13
978-0-471-98324-8 (9780471983248)
Schweitzer Classification
Other editions
New editions

Robert E. Melchers | Andre T. Beck
Structural Reliability Analysis and Prediction
Book
12/2017
3rd Edition
Wiley
€103.50
Shipment within 15-20 days
Previous edition
R. E. Melchers
Structural Reliability Analysis and Prediction
Book
09/1987
Longman Higher Education
€95.58
Article exhausted; check for reprint
Content
Measures of structural reliability; structural reliability assessment; integration and simulation methods; second-moment and transformation methods; structural systems; time dependent reliability; load and load effect modelling; resistance modelling; codes and structural reliability; probabilistic evaluation of existing structures. Appendixes: summary of probability theory; Rosenblatt and other transformations; bivariate and multivariate normal integrals; complementary standard normal table; random numbers; computer programs.