Surrogate-based Reliability Optimization
Surrogate-Based Reliability Optimization is a reliability-based design methodology that employs computationally efficient surrogate models to approximate complex performance functions, thereby enabling the probabilistic assessment and optimization of system reliability with reduced numerical expense.
112
Publications
6.5K
Citations
266
Authors
127
Institutions
Publications per year
2017–2026
67
Parents
112
1–5 of 112
266
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127

Northwestern Polytechnical University
Xi'an, China
15 h-index
47 publications
2.3K citations

Beihang University
Beijing, China
5 h-index
14 publications
350 citations
Fudan University
Shanghai, China
4 h-index
6 publications
350 citations
Tongji University
Shanghai, China
4 h-index
3 publications
81 citations
Zabol University
Zabol, Iran
4 h-index
4 publications
197 citations

University of Strathclyde
Glasgow, United Kingdom
4 h-index
5 publications
163 citations

Institut National des Sciences Appliquées Rouen Normandie
Saint-Étienne-du-Rouvray, France
3 h-index
7 publications
187 citations

Vanderbilt University
Nashville, United States
3 h-index
5 publications
776 citations
1–8 of 127
12 publications · 1.3K citations
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8 publications · 599 citations
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6 publications · 599 citations
6
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5 publications · 794 citations
5
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4 publications · 316 citations
4
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1–5