A Computational Nondestructive Evaluation Algorithm Combining Self-Evolving Parameterization and Multi-Objective Optimization for Quantitative Damage Characterization

Wang Mengyu; Brigham John C.

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A Computational Nondestructive Evaluation Algorithm Combining Self-Evolving Parameterization and Multi-Objective Optimization for Quantitative Damage Characterization

机译：结合自演化参数化和多目标优化的定量损伤特征计算非破坏性评估算法

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A self-evolving parameterization approach for nondestructive evaluation (NDE) of damage in structural components is presented and numerically evaluated. Focused herein on problems relating to characterizing an unknown quantity of localized changes in properties, the adaptive approach utilizes the substantial solution diversity that is uniquely provided by multi-objective optimization to iteratively build up the parameterization and accurately characterize all localized property changes with the minimum dimensional parameterization. Through simulated test problems based on the characterization of damage within plates, the NDE approach with self-evolving parameterization is shown to provide an accurate and efficient process for the solution of inverse characterization problems.

机译：提出了一种用于结构构件损伤的无损评估（NDE）的自演化参数化方法，并进行了数值评估。本文将重点放在与表征未知数量的局部特性变化有关的问题上，自适应方法利用多目标优化唯一提供的实质性解决方案多样性来迭代地建立参数化并以最小尺寸准确地表征所有局部特性变化。参数化。通过基于板内损伤特征的模拟测试问题，显示了具有自演化参数化的NDE方法，为解决逆特征问题提供了准确而有效的过程。

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《Journal of Nondestructive Evaluation》 |2014年第4期|共15页
作者
Wang Mengyu; Brigham John C.;
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正文语种 eng
中图分类组织检查法、非破坏性试验法;一般工业技术;
关键词
Multi-objective optimization; Adaptive; Self-evolving; Parameterization; Nondestructive evaluation; Computational inverse mechanics; Damage characterization;

机译：多目标优化自适应自演化参数化无损评估计算逆力学损伤特征;

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1. A Computational Nondestructive Evaluation Algorithm Combining Self-Evolving Parameterization and Multi-Objective Optimization for Quantitative Damage Characterization [J] . Wang Mengyu, Brigham John C. Journal of Nondestructive Evaluation . 2014,第4期

机译：结合自演化参数化和多目标优化的定量损伤特征计算非破坏性评估算法
2. Combined scalar tracking, computational fluid dynamics, and multi-objective genetic algorithm method to accelerate optimization of film cooling systems [J] . Francesco Ornano, Thomas Povey Proceedings of the Institution of Mechanical Engineers . 2021,第4期

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3. Multi-objective optimization for GPU3 Stirling engine by combining multi-objective algorithms [J] . Luo Zhongyang, Sultan Umair, Ni Mingjiang, Renewable energy . 2016,第auga期

机译：结合多目标算法对GPU3斯特林引擎进行多目标优化
4. Nondestructive evaluation of fiberglass reinforced plastic subjected to combined localized heat damage and fatigue damage using acoustic emission [C] . H. Nayeb-Hashemi, P. Kasomino, Nader Saniei ASME international mechanical engineering congress and exposition . 1999

机译：利用声发射对玻璃纤维增强塑料进行局部热损伤和疲劳损伤的无损评估
5. Evaluation of relative performance of classification algorithms for nondestructive damage detection. [D] . Garcia, Gabriel Vincent. 1996

机译：无损检测的分类算法相对性能评估。
6. Cuckoo Search Algorithm Based on Repeat-Cycle Asymptotic Self-Learning and Self-Evolving Disturbance for Function Optimization [O] . Jie-sheng Wang, Shu-xia Li, Jiang-di Song 2015

机译：基于重复周期渐近自学习和自进化扰动的布谷鸟搜索算法进行功能优化
7. Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems [O] . Brintrup, Alexandra, Ramsden, Jeremy, Tiwari, Ashutosh, 2006

机译：评估顺序，多目标和并行交互式遗传算法以解决多目标优化问题

A Computational Nondestructive Evaluation Algorithm Combining Self-Evolving Parameterization and Multi-Objective Optimization for Quantitative Damage Characterization

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