A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Structural Optimization and Reliability
This chapter is primarily about design that is the optimal sizing of a structure to meet predefined safety levels, considering explicitly the uncertainties in loads, strengths and engineering models and meeting some cost criterion. It introduces three types of optimization problems involving probabilistic information, indirectly or directly and with increasing complexity. The chapter considers the most common reliability‐based optimization problem (Reliability‐Based Design Optimization—RBDO) coupled with First Order Reliability (FOR) for probability estimation. Deterministic Design Optimization (DDO) takes uncertainties into account only implicitly. Uncertainties in material strengths and in loads are considered only through partial safety factors. Sequential Approximate Programming (SAP) is a technique for solving conventional optimization problems. The chapter considers the methods for solving general design optimization problems using Monte Carlo simulation of various types. Problems addressing life‐cycle cost and risk optimization can be classified broadly into two somewhat overlapping types: optimal design under stochastic loading, and optimal design considering inspection and maintenance activities.
Structural Optimization and Reliability
This chapter is primarily about design that is the optimal sizing of a structure to meet predefined safety levels, considering explicitly the uncertainties in loads, strengths and engineering models and meeting some cost criterion. It introduces three types of optimization problems involving probabilistic information, indirectly or directly and with increasing complexity. The chapter considers the most common reliability‐based optimization problem (Reliability‐Based Design Optimization—RBDO) coupled with First Order Reliability (FOR) for probability estimation. Deterministic Design Optimization (DDO) takes uncertainties into account only implicitly. Uncertainties in material strengths and in loads are considered only through partial safety factors. Sequential Approximate Programming (SAP) is a technique for solving conventional optimization problems. The chapter considers the methods for solving general design optimization problems using Monte Carlo simulation of various types. Problems addressing life‐cycle cost and risk optimization can be classified broadly into two somewhat overlapping types: optimal design under stochastic loading, and optimal design considering inspection and maintenance activities.
Structural Optimization and Reliability
Melchers, Robert E. (editor) / Beck, André T. (editor)
2017-10-02
25 pages
Article/Chapter (Book)
Electronic Resource
English
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