Direct optimization of uncertain structures based on degree of interval constraint violation. (February 2016)

• Record Type: Journal Article
• Authors: Cheng, Jin; Liu, Zhenyu; Wu, Zhenyu; Tang, Mingyang; Tan, Jianrong
• Is Part Of: Computers & structures. Volume 164(2016)
• Page Start: 83
• Page End: 94
• Publication Date: 2016-02
• Subjects: Uncertain structure -- Constrained interval optimization model -- Degree of interval constraint violation -- Direct interval ranking -- Nested genetic algorithm -- Kriging model; Structural engineering -- Data processing -- Periodicals; Electronic data processing -- Structures, Theory of -- Periodicals; 624.171
• DOI: 10.1016/j.compstruc.2015.11.006
• Languages: English
• ISSNs: 0045-7949

Abstract

Highlights: An interval optimization model is proposed for optimizing uncertain structures. A novel concept of the degree of interval constraint violation (DICV) is proposed. DICV-based preferential guidelines are given for directly ranking design vectors. Direct interval optimization algorithm is realized base on nested GA and Kriging. Direct interval optimization algorithm yields better solutions than indirect ones. Abstract: A constrained interval optimization model is proposed for the optimization of uncertain structures with their mechanical performance indices described as the objective and constraint functions of the design vector and interval uncertain parameters. Present indirect approaches for solving such interval optimization models by converting them into deterministic ones will result in the loss of uncertainty information and deviate from the original intention of realistically modeling engineering optimization problems. To overcome these shortcomings, a novel optimization algorithm is proposed for directly solving the nonlinear constrained interval optimization models based on a novel concept of the degree of interval constraint violation (DICV) and the DICV-based preferential guidelines. A nested genetic algorithm (GA) is developed to realize the direct interval ranking of various design vectors. The outer layer GA locates the optimal solution based on direct interval ranking. The inner layer GAs integrated with Kriging technique compute the intervals of the mechanical performance indices of every design vector in the current population of the outer layer GA. The validity and superiority of the proposed direct interval optimization algorithm was verified by three numerical examples. Finally, the proposed direct interval optimization method was applied to the optimization of the cone ring fixture with uncertain material properties in a large turbo generator aimed at moving its natural frequencies away from the exciting one. The results demonstrated its feasibility and effectiveness in optimizing practical engineering structures under uncertainties.