An Investigation of Nonlinearity of Reliability-Based Design Optimization Approaches

By Kyung K. Choi, Byeng Dong Youn. Design Automation Conference, 2004

261 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/3e6dc1758a1f744b9492ea3d356d6d75888f8ede

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Kyung K. Choi
2. Liu Du
3. Byeng Dong Youn
4. Ping Yi
5. Dixiong Yang
6. Agus Sudjianto
7. Wei Chen
8. Huibin Liu

In Environmental Engineering

1. Ping Yi
2. Dixiong Yang
3. Liu Du
4. Kyung K. Choi
5. Byeng Dong Youn

In Statistics and Probability

1. Kyung K. Choi
2. Liu Du
3. Byeng Dong Youn
4. Ping Yi
5. Dixiong Yang
6. Agus Sudjianto
7. Huibin Liu
8. Wei Chen

Citations in the corpus

• Chaos control of performance measure approach for evaluation of probabilistic constraints (2009, methodology): “Youn et al. (2003), Youn and Choi (2004) showed that PMA is more efficient, stable and less dependent on probabilistic distribution types than RIA.”
• Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design (2006, background): “Such assumption may not always be valid, especially in the case where the performance distribution is highly skewed and the design objective involves more than just the mean and variance of a performance, such as in utility optimization [11] [12] and reliability-based design [9] [13] [14] [15].”
• Enriched Performance Measure Approach for Reliability-Based Design Optimization. (2005, methodology): “For general engineering application, the RBDO model [ 1-13 ] can be formulated as”