Probabilistic Mechanics & Structural Reliability
Probabilistic Mechanics & Structural Reliability

Author: Dan M. Frangopol

Publisher: American Society of Civil Engineers

Published: 1996

Total Pages: 1036

ISBN-13:

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Contains three keynote papers and some 230 contributed four-page papers from the August 1996 conference, examining all aspects of probabalistic mechanics and structural reliability regarding assessment and design of structural, mechanical, marine, aerospace, geotechnical, and environmental systems. Emphasis is on concepts and methods of probability in the design of engineering systems, with particular focus on progress in stochastic mechanics in earthquake engineering, structural dynamics, and finite element methods. Annotation copyright by Book News, Inc., Portland, OR

Probabilistic Structural Mechanics Handbook
Probabilistic Structural Mechanics Handbook

Author: C.R. Sundararajan

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 756

ISBN-13: 1461517710

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The need for a comprehensive book on probabilistic structural mechanics that brings together the many analytical and computational methods developed over the years and their applications in a wide spectrum of industries-from residential buildings to nuclear power plants, from bridges to pressure vessels, from steel structures to ceramic structures-became evident from the many discussions the editor had with practising engineers, researchers and professors. Because no single individual has the expertise to write a book with such a di.verse scope, a group of 39 authors from universities, research laboratories, and industries from six countries in three continents was invited to write 30 chapters covering the various aspects of probabilistic structural mechanics. The editor and the authors believe that this handbook will serve as a reference text to practicing engineers, teachers, students and researchers. It may also be used as a textbook for graduate-level courses in probabilistic structural mechanics. The editor wishes to thank the chapter authors for their contributions. This handbook would not have been a reality without their collaboration.

Probabilistic Structural Mechanics: Advances in Structural Reliability Methods
Probabilistic Structural Mechanics: Advances in Structural Reliability Methods

Author: Pol D. Spanos

Publisher: Springer Science & Business Media

Published: 2013-03-13

Total Pages: 621

ISBN-13: 3642850928

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This symposium is the seventh of a series of IUTAM sponsored symposia which focus on probabilistic methods in mechanics. It is the sequel to the series of meetings in Coventry, UK (1972), Southhampton, UK (1976), Frankfurt/Oder, Germany (1982), Stockholm, Sweden (1984), Innsbruck/Igls, Austria (1987), and Turin, Italy (1991). The symposium focused on advances in the area of probabilistic mechanics with direct application to structural reliability issues. The contributed papers address collectively the four components of a structural reliability problem. They are: characterization of stochastic loads, description of material properties in terms of fatigue and fracture, response determination, and quantitative assessment of the reliability of the structural system. Four Keynote Lectures by V. Bolotin (Russia), o. Ditlevsen (Denmark), R. Heller (USA), and F. Ziegler (Austria) were delivered; the remaining contributed papers were organized in ten technical sessIons. A reception was hosted by Dr. Y. Wu the first day of the symposium; the second day of the symposium a banquet was hosted by Dr. P. Spanos, with Dr. N. Abramson serving as the banquet speaker. Closing remarks were provided by the IUTAM Secretary General, Dr. F. Ziegler.

Reliability-based Structural Design
Reliability-based Structural Design

Author: Seung-Kyum Choi

Publisher: Springer Science & Business Media

Published: 2006-11-15

Total Pages: 309

ISBN-13: 1846284457

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This book provides readers with an understanding of the fundamentals and applications of structural reliability, stochastic finite element method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions, including polynomial chaos expansion and Karhunen-Loeve expansion for the reliability analysis of practical engineering problems.