Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 108397 |
| Fachzeitschrift | Mechanical Systems and Signal Processing |
| Jahrgang | 166 |
| Frühes Online-Datum | 5 Sept. 2021 |
| Publikationsstatus | Veröffentlicht - 1 März 2022 |
Abstract
This article presents a brief survey on some of the latest developments in the area of reliability-based design optimization of structural systems under stochastic excitation. The contributions are grouped into three main categories, namely, sequential optimization approaches, stochastic search based techniques, and schemes based on augmented reliability spaces. The different approaches are described and summarized. In addition, remarks are provided about their range of application, advantages, disadvantages, relevance, and potential research directions. The literature review indicates that computational aspects play a key role in the solution of this class of optimization problems. Besides, this overview suggests that methods for optimal design in stochastic structural dynamics are no longer restricted to academic-type of problems but they can be used as tools in a class of engineering design problems as well.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Informatik (insg.)
- Signalverarbeitung
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
- Ingenieurwesen (insg.)
- Luft- und Raumfahrttechnik
- Ingenieurwesen (insg.)
- Maschinenbau
- Informatik (insg.)
- Angewandte Informatik
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in: Mechanical Systems and Signal Processing, Jahrgang 166, 108397, 01.03.2022.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Reliability-based design optimization of structural systems under stochastic excitation
T2 - An overview
AU - Jerez, D. J.
AU - Jensen, H. A.
AU - Beer, M.
N1 - Funding Information: The research reported here was partially supported by ANID (National Agency for Research and Development, Chile) under its program FONDECYT, grant number 1200087 . Also, this research has been supported by ANID and DAAD (German Academic Exchange Service), Germany under CONICYT-PFCHA/Doctorado Acuerdo Bilateral DAAD Becas Chile/2018-62180007. These supports are gratefully acknowledged by the authors.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - This article presents a brief survey on some of the latest developments in the area of reliability-based design optimization of structural systems under stochastic excitation. The contributions are grouped into three main categories, namely, sequential optimization approaches, stochastic search based techniques, and schemes based on augmented reliability spaces. The different approaches are described and summarized. In addition, remarks are provided about their range of application, advantages, disadvantages, relevance, and potential research directions. The literature review indicates that computational aspects play a key role in the solution of this class of optimization problems. Besides, this overview suggests that methods for optimal design in stochastic structural dynamics are no longer restricted to academic-type of problems but they can be used as tools in a class of engineering design problems as well.
AB - This article presents a brief survey on some of the latest developments in the area of reliability-based design optimization of structural systems under stochastic excitation. The contributions are grouped into three main categories, namely, sequential optimization approaches, stochastic search based techniques, and schemes based on augmented reliability spaces. The different approaches are described and summarized. In addition, remarks are provided about their range of application, advantages, disadvantages, relevance, and potential research directions. The literature review indicates that computational aspects play a key role in the solution of this class of optimization problems. Besides, this overview suggests that methods for optimal design in stochastic structural dynamics are no longer restricted to academic-type of problems but they can be used as tools in a class of engineering design problems as well.
KW - Metamodels
KW - Optimization techniques
KW - Reliability analysis
KW - Sensitivity analysis
KW - Simulation techniques
KW - Stochastic dynamical systems
KW - Stochastic optimization
UR - http://www.scopus.com/inward/record.url?scp=85114152153&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2021.108397
DO - 10.1016/j.ymssp.2021.108397
M3 - Article
AN - SCOPUS:85114152153
VL - 166
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
SN - 0888-3270
M1 - 108397
ER -