| 代树红*,郑昊,柳凯,张战军.基于改进鲸鱼算法的声发射定位方法[J].实验力学,2024,39(2):223~236 |
| 基于改进鲸鱼算法的声发射定位方法 |
| Acoustic emission localization method based on improved whale optimization algorithm |
| 投稿时间：2023-04-26 修订日期：2023-05-16 |
| DOI：10.7520/1001-4888-23-090 |
| 中文关键词: 声发射 定位算法 鲸鱼优化算法 断铅实验 Ⅰ型断裂实验 |
| 英文关键词:acoustic emission localization algorithm whale optimization algorithm pencil-lead breaking experiment mode Ⅰ fracture experiment |
| 基金项目:国家自然科学基金重点项目(U183920051)；辽宁省高等学校创新人才项目(LR2019031)；辽宁省教育厅基础项目(LJ2019JL006) |
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| 中文摘要: |
| 为提高声发射源定位精度，提出了一种改进鲸鱼算法，并基于该算法生成了一种新的声发射源定位方法。该方法根据不同通道间的时间差建立基于最小二乘法原理的目标函数，通过改进鲸鱼算法的搜索机制求解目标函数，实现对声发射源的定位。为准确评估改进鲸鱼算法的定位精度，开展了煤岩断铅实验和三点弯曲加载条件下Ⅰ型断裂实验，对比分析改进鲸鱼算法、鲸鱼优化算法、Geiger算法和最小二乘法等4种定位算法的定位结果。结果表明：改进鲸鱼算法相较其他定位算法具有更高的定位精度，且累计有效声发射事件更集中于真实断裂过程区；改进鲸鱼算法的各阶段声发射源定位结果与数字图像相关方法(Digital Image Correlation，DIC)观测结果具有一致性，能够有效地反映试件内部裂纹萌生、扩展的动态演化过程。 |
| 英文摘要: |
| In order to improve the accuracy of AE source location, an improved whale optimization algorithm was proposed, and a method of AE event locating method was generated based on this algorithm. According to the time difference between different channels, an objective function based on the least square method was established. The objective function was solved by the search mechanism of improved whale optimization algorithm, then the AE events location results were obtained. In order to accurately evaluate the positioning accuracy of the improved whale optimization algorithm, the coal rock pencil-lead breaking experiment and mode I fracture experiment under three-point bending condition were carried out for verification. The positioning results of the improved whale optimization algorithm, whale optimization algorithm, Geiger algorithm, and least square method were compared and analyzed. The results show that the improved whale optimization algorithm has higher positioning accuracy than other algorithms, and the cumulative effective AE events are more concentrated in the real fracture process area; the results of AE event location at each stage of the improved whale optimization algorithm are consistent with the results obtained by digital image correlation method. It can effectively reflect the dynamic evolution process of crack initiation and propagation in coal rock specimen. |
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