Reliability-Based Design Optimization Using Quantile Surrogates by Adaptive Gaussian Process
Author:
Affiliation:
1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Seoul National Univ., Seoul 08826, South Korea. ORCID:
2. Professor, Dept. of Civil and Environmental Engineering, Seoul National Univ., Seoul 08826, South Korea (corresponding author).
Publisher
American Society of Civil Engineers (ASCE)
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0001910
Reference37 articles.
1. Monte Carlo and quasi-Monte Carlo methods
2. An Adaptive Sequential Linear Programming Algorithm for Optimal Design Problems With Probabilistic Constraints
3. Chen X. T. K. Hasselman and D. F. Neill. 1997. “Reliability based structural design optimization for practical applications.” In Proc. 38th AIAA/ASME/SCE/AHS/ASC Structures Structural Dynamics and Material Conf. AIAA-97-1403. Reston VA: American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.1997-1403.
4. An adaptive decoupling approach for reliability-based design optimization
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