Structural design optimization under dynamic reliability constraints based on probability density evolution method and quantum-inspired optimization algorithm

authored by: Li Li Weng, Jia Shu Yang, Jian Bing Chen, Michael Beer
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.
Organisation(s): Institute for Risk and Reliability
External Organisation(s): State Key Laboratory for Disaster Reduction of Civil Engineering
University of Liverpool
Tongji University
Type: Article
Journal: Probabilistic Engineering Mechanics
Volume: 74
ISSN: 0266-8920
Publication date: 10.2023
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Statistical and Nonlinear Physics, Civil and Structural Engineering, Nuclear Energy and Engineering, Condensed Matter Physics, Aerospace Engineering, Ocean Engineering, Mechanical Engineering
Electronic version(s): https://doi.org/10.1016/j.probengmech.2023.103494 (Access: Closed)