Abstract
For the purpose of reliability assessment of a structure subject to stochastic excitations, the probability of the occurrence of at least one failure event over a time interval, i.e. the first-passage probability, often needs to be evaluated. In this paper, a new method is proposed to incorporate constraints on the first-passage probability into reliability-based optimization of structural design or topology. For efficient evaluations of first-passage probability during the optimization, the failure event is described as a series system event consisting of instantaneous failure events defined at discrete time points. The probability of the series system event is then computed by use of a system reliability analysis method termed as the sequential compounding method. The adjoint sensitivity formulation is derived for calculating the parameter sensitivity of the first-passage probability to facilitate the use of efficient gradient-based optimization algorithms. The proposed method is successfully demonstrated by numerical examples of a space truss and building structures subjected to stochastic earthquake ground motions.
Original language | English (US) |
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Pages (from-to) | 81-94 |
Number of pages | 14 |
Journal | Structural Safety |
Volume | 76 |
DOIs | |
State | Published - Jan 2019 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Building and Construction
- Safety, Risk, Reliability and Quality
Keywords
- First-passage probability
- Parameter sensitivity
- Reliability-based design optimization
- Reliability-based topology optimization
- Sequential compounding method
- Stochastic excitation
- System reliability