Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 103494 |
| Fachzeitschrift | Probabilistic Engineering Mechanics |
| Jahrgang | 74 |
| Frühes Online-Datum | 22 Juli 2023 |
| Publikationsstatus | Veröffentlicht - Okt. 2023 |
Abstract
Dynamic-reliability-based design optimization (DRBDO) has been a promising approach for designing structures under dynamic excitations in the presence of uncertainties. This paper proposes an effective scheme for solving a class of DRBDO problems. The proposed scheme is based on the quantum particle swarm optimization (QPSO) algorithm, a quantum-inspired algorithm that utilizes quantum mechanisms to achieve better exploration and exploitation. During the optimization process, the probability density evolution method (PDEM) combined with the extreme value distribution strategy is employed to evaluate the structural dynamic reliability. Due to the high efficiency of the PDEM, the computational cost associated with reliability assessments can be considerably reduced. Numerical examples involving linear and nonlinear structures with different types of design variables are presented to demonstrate the effectiveness and efficiency of the proposed scheme.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Statistische und nichtlineare Physik
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
- Energie (insg.)
- Kernenergie und Kernkraftwerkstechnik
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Ingenieurwesen (insg.)
- Luft- und Raumfahrttechnik
- Ingenieurwesen (insg.)
- Meerestechnik
- Ingenieurwesen (insg.)
- Maschinenbau
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in: Probabilistic Engineering Mechanics, Jahrgang 74, 103494, 10.2023.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Structural design optimization under dynamic reliability constraints based on probability density evolution method and quantum-inspired optimization algorithm
AU - Weng, Li Li
AU - Yang, Jia Shu
AU - Chen, Jian Bing
AU - Beer, Michael
N1 - Funding Information: The financial support from the National Natural Science Foundation of China (the National Distinguished Youth Fund of NSFC with Grant No. 51725804 and the NSFC-Guangdong Province Joint Project, China Grant No. U1711264 ) is highly appreciated.
PY - 2023/10
Y1 - 2023/10
N2 - Dynamic-reliability-based design optimization (DRBDO) has been a promising approach for designing structures under dynamic excitations in the presence of uncertainties. This paper proposes an effective scheme for solving a class of DRBDO problems. The proposed scheme is based on the quantum particle swarm optimization (QPSO) algorithm, a quantum-inspired algorithm that utilizes quantum mechanisms to achieve better exploration and exploitation. During the optimization process, the probability density evolution method (PDEM) combined with the extreme value distribution strategy is employed to evaluate the structural dynamic reliability. Due to the high efficiency of the PDEM, the computational cost associated with reliability assessments can be considerably reduced. Numerical examples involving linear and nonlinear structures with different types of design variables are presented to demonstrate the effectiveness and efficiency of the proposed scheme.
AB - Dynamic-reliability-based design optimization (DRBDO) has been a promising approach for designing structures under dynamic excitations in the presence of uncertainties. This paper proposes an effective scheme for solving a class of DRBDO problems. The proposed scheme is based on the quantum particle swarm optimization (QPSO) algorithm, a quantum-inspired algorithm that utilizes quantum mechanisms to achieve better exploration and exploitation. During the optimization process, the probability density evolution method (PDEM) combined with the extreme value distribution strategy is employed to evaluate the structural dynamic reliability. Due to the high efficiency of the PDEM, the computational cost associated with reliability assessments can be considerably reduced. Numerical examples involving linear and nonlinear structures with different types of design variables are presented to demonstrate the effectiveness and efficiency of the proposed scheme.
KW - Dynamic reliability
KW - Dynamic-reliability-based design optimization
KW - Probability density evolution method
KW - Quantum particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=85167603670&partnerID=8YFLogxK
U2 - 10.1016/j.probengmech.2023.103494
DO - 10.1016/j.probengmech.2023.103494
M3 - Article
AN - SCOPUS:85167603670
VL - 74
JO - Probabilistic Engineering Mechanics
JF - Probabilistic Engineering Mechanics
SN - 0266-8920
M1 - 103494
ER -