Hybrid Reliability-Based Design Optimization of Complex Structures With Random and Interval Uncertainties Based on ASS-HRA

Cheng, Jin; Lü, Wei; Hu, Weifei; Liu, Zhenyu; Zhang, Yangyan; Tan, Jianrong

doi:10.1109/access.2019.2926145

Cited by 11 publications

(8 citation statements)

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“…RBDO also relies on estimation based on raw data from the physical system to create its theoretical model [51], [52]. If a system is extremely complex, certain RBDO models are able to create realistic models of the system by utilizing random and interval uncertainties [53], [54]. This includes systems where the design parameters may change, creating uncertainties, such as optimizing the joints of a lower extremity exoskeleton, who's dimensions will change based on the subject utilizing the device [55].…”

Section: List Of Figuresmentioning

confidence: 99%

Design optimization of a wind tunnel force balance using stepwise response surface method

Chaisson

Lee²,

Burns³

2022

J Mech Sci Technol

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applied to a body during a wind tunnel test. The balance is equipped with strain gauges that measure structural deformations for evaluation of the forces and moments being applied to the body. The force balance is required to have structural safety under a large roll moment, due to design changes with the testing apparatus. The balance must be optimized to allow for this increased roll moment while guaranteeing the balance will not fail and the gauges within the balance will generate an acceptable gauge reading.

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Section: List Of Figuresmentioning

confidence: 99%

Design optimization of a wind tunnel force balance using stepwise response surface method

Chaisson

Lee²,

Burns³

2022

J Mech Sci Technol

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show abstract

“…However, if the number of the single-loop procedure is large, the computational cost of the sequential single-loop approach is still expensive. Jin et al [4] proposed an efficient hybrid reliability analysis method based on adaptive step size (ASS-HRA) and developed an efficient HRBDO approach integrating the proposed ASS-HRA method with the polynomial response surface model. However, when there are many probability constraints, the computational burden of this method is also large since this method is based on a nested optimization framework.…”

Section: Introductionmentioning

confidence: 99%

Kriging-Based Performance Measure Function Approximation Method for Hybrid Reliability-Based Design Optimization

et al. 2023

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Hybrid reliability-based design optimization (HRBDO) can provide an effective way to obtain the optimum design in the presence of both random and interval variables. HRBDO is typically described as a nested optimization model. It is computationally expensive when directly solving the HRBDO problem by the nested optimization method. To address this issue, this paper develops an efficient decoupled HRBDO method that aims at performance measure function approximation by the adaptive Kriging model (KPMFA). The proposed KPMFA method includes three main blocks, namely hybrid inverse reliability analysis, performance measure function approximation, and equivalent deterministic optimization. In KPMFA, the adaptation of the adaptive chaos control (ACC) algorithm for inverse reliability analysis that accommodates interval variables is developed. Moreover, an adaptive strategy with two-stage of enrichment for the Kriging model is developed to approximate performance measure functions on the region of interest. Then, the optimization can be proceeded using the Kriging model of performance measure functions. Finally, five illustrative HRBDO problems are investigated to demonstrate the accuracy and efficiency of the proposed KPMFA method.INDEX TERMS Hybrid reliability-based design optimization (HRBDO); random and interval variables; adaptive kriging model; performance measure function approximation

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“…Because of the length limit, this review paper focuses on system reliability analysis methods developed for structural systems. However, there is vast literature on general system reliability methods (Verma et al 2010;Mettas and Savva 2001) and nonprobabilistic or hybrid methods (Adduri and Penmetsa 2009;Cheng et al 2019;Kang and Luo 2009) that could be applied to structural systems.…”

Section: Introductionmentioning

confidence: 99%

Structural System Reliability: Overview of Theories and Applications to Optimization

Song

Kang

Lee

et al. 2021

ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

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This paper provides an overview of theories and applications of structural system reliability (SSR). The paper defines SSR problems and discusses the growing needs for SSR analysis and technical challenges. Detailed literature reviews are provided for three subtopics: SSR methods for Boolean system events, SSR methods for sequential failures, and SSR-based design/topology optimization. Discussions of each subtopic define the target problem using mathematical formulations and categorize existing SSR methods in terms of the characteristics of the problems and approaches. The paper summarizes SSR methods that are considered critical in the history and have introduced notable technological developments in recent years. In each subtopic or category, the reviewed methods are compared with each other in terms of accuracy, computational efficiency, and implementation issues to allow identifying apposite methods for SSR applications. The paper concludes with remarks on future research needs and opportunities.

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Hybrid Reliability-Based Design Optimization of Complex Structures With Random and Interval Uncertainties Based on ASS-HRA

Cited by 11 publications

References 50 publications

Design optimization of a wind tunnel force balance using stepwise response surface method

Design optimization of a wind tunnel force balance using stepwise response surface method

Kriging-Based Performance Measure Function Approximation Method for Hybrid Reliability-Based Design Optimization

Structural System Reliability: Overview of Theories and Applications to Optimization

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