Structural design optimization considering uncertainties

• Other Authors: Lagaros, Nikos D. 1970- (Editor), Papadrakakis, Manolis (Editor), Tsompanakis, Yiannis 1969- (Editor)
• Format: Book
• Language: English
• Published: London Taylor & Francis 2008
• Series: Structures and infrastructures series
• Subjects: Structural optimization
• Online Access: Click Here to View Status and Holdings.
• Physical Description: xxxiv, 634 pages illustrations 26 cm
• Bibliography: Includes bibliographical references and index
• ISBN: 9780415452601; 0415452600

Uncertainties play a dominant role in the design and optimization of structures and infrastructures. In optimum design of structural systems due to variations of the material, manufacturing variations, variations of the external loads and modelling uncertainty, the parameters of a structure, a structural system and its environment are not given, fixed coefficients, but random variables with a certain probability distribution. The increasing necessity to solve complex problems in Structural Optimization, Structural Reliability and Probabilistic Mechanics, requires the development of new ideas, innovative methods and numerical tools for providing accurate numerical solutions in affordable computing times. This book presents the latest findings on structural optimization considering uncertainties. It contains selected contributions dealing with the use of probabilistic methods for the optimal design of different types of structures and various considerations of uncertainties. The first part is focused on reliability-based design optimization and the second part on robust design optimization. Comprising twenty-one, self-contained chapters by prominent authors in the field, it forms a complete collection of state-of-the-art theoretical advances and applications in the fields of structural optimization, structural reliability, and probabilistic computational mechanics. It is recommended to researchers, engineers, and students in civil, mechanical, naval and aerospace engineering and to professionals working on complicated costs-effective design problems.