Structural Design Optimization Considering Uncertainties | Structures

Book

Structural Design Optimization Considering Uncertainties

ABSTRACT

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, fi

TABLE OF CONTENTS

part |2 pages

Part 1: Reliability-Based Design Optimization (RBDO)

chapter 1|28 pages

Principles of reliability-based design optimization

chapter 2|26 pages

Reliability-based optimization of engineering structures

chapter 3|30 pages

Reliability analysis and reliability-based design optimization using moment methods Sang Hoon Lee, Northwestern University, Evanston, IL, USA Byung Man Kwak, Korea Advanced Institute of Science and Technology, Daejeon, Korea Jae Sung Huh, Korea Aerospace Research Institute, Daejeon, Korea

chapter 4|28 pages

Efficient approaches for system reliability-based design optimization Efstratios Nikolaidis, University of Toledo, Toledo, OH, USA

chapter 5|20 pages

Nondeterministic formulations of analytical target cascading for decomposition-based design optimization under uncertainty Michael Kokkolaras, University of Michigan, Ann Arbor, MI, USA Panos Y. Papalambros, University of Michigan, Ann Arbor, MI, USA

chapter 6|20 pages

Design optimization of stochastic dynamic systems by algebraic reduced order models Gary Weickum, University of Colorado at Boulder, Boulder, CO, USA Matt Allen, University of Colorado at Boulder, Boulder, CO, USA Kurt Maute, University of Colorado at Boulder, Boulder, CO, USA

chapter 7|34 pages

Stochastic system design optimization using stochastic simulation Alexandros A. Taflanidis, California Institute of Technology, CA, USA James L. Beck, California Institute of Technology, CA, USA

chapter 8|28 pages

Numerical and semi-numerical methods for reliability-based design optimization

chapter 9|30 pages

Advances in solution methods for reliability-based design optimization

chapter 10|34 pages

Non-probabilistic design optimization with insufficient data using possibility and evidence theories

chapter 11|26 pages

A decoupled approach to reliability-based topology optimization for structural synthesis Neal M. Patel, University of Notre Dame, Notre Dame, IN, USA

chapter 12|28 pages

Sample average approximations in reliability-based structural optimization: Theory and applications Elijah Polak, University of California, Berkeley, CA, USA

chapter 13|34 pages

Cost-benefit optimization for maintained structures Rüdiger Rackwitz, Technical University of Munich, Munich, Germany Andreas E. Joanni, Technical University of Munich, Munich, Germany

chapter 14|32 pages

A reliability-based maintenance optimization methodology

chapter 15|32 pages

Overview of reliability analysis and design capabilities in DAKOTA with Application to shape optimization of MEMS Sankaran Mahadevan, Vanderbilt University, Nashville, TN, USA

part |2 pages

Part 2: Robust Design Optimization (RDO)

chapter 16|36 pages

Structural robustness and its relationship to reliability

chapter 17|28 pages

Maximum robustness design of trusses via semidefinite programming Yoshihiro Kanno, University of Tokyo, Tokyo, Japan

chapter 18|32 pages

Design optimization and robustness of structures against uncertainties based on Taylor series expansion Ioannis Doltsinis, University of Stuttgart, Stuttgart, Germany

chapter 19|18 pages

Info-gap robust design of passively controlled structures with load and model uncertainties

chapter 20|18 pages

Genetic algorithms in structural optimum design using convex models of uncertainty Sara Ganzerli, Gonzaga University, Spokane, WA, USA

chapter 21|32 pages

Metamodel-based computational techniques for solving structural optimization problems considering unvertainties