Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design
Missouri University of Science and Technology · Northwestern University
Abstract
Probabilistic design, such as reliability-based design and robust design, offers tools for making reliable decisions with the consideration of uncertainty associated with design variables/parameters and simulation models. Since a probabilistic optimization often involves a double-loop procedure for the overall optimization and iterative probabilistic assessment, the computational demand is extremely high. In this paper, the sequential optimization and reliability assessment (SORA) is developed to improve the efficiency of probabilistic optimization. The SORA method employs a single-loop strategy with a serial of cycles of deterministic optimization and reliability assessment. In each cycle, optimization and…
Citation impact
- FWCI
- 57.85
- Percentile
- 100%
- References
- 39
Authors
2Topics & keywords
- Probabilistic logic
- Probabilistic design
- Reliability (semiconductor)
- Reliability engineering
- Computer science
- Reducer
- Crashworthiness
- Optimization problem