正则化遗传算法下的结构损伤识别研究
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摘要
充分有效开展重大工程结构安全性评估工作,判断其中是否存在着一定的损伤问题,由此一旦发现其中出现不良情况,将能及时采用科学合理的方式和手段进行工程优化,保证工程施工质量和建设水平。该文主要是从正则化遗传算法在识别结构损伤中的应用优势分析入手,重点介绍了正则化遗传算法的应用情况,并提出了一些实际案例作为验证,为全面发挥正则化遗传算法的应用效果提供一定借鉴和参考。
It's necessary to fully and effectively carry out safety assessment on major engineering structures to determine whether there are any damage problems, because scientific and reasonable methods and means can be timely done to optimize the project once any defect is identified, so as to ensure the construction quality and construction level of the project. Beginning with the analysis on application advantages of regularized genetic algorithm in structural damage identification, the application of regularized genetic algorithm was particularly introduced, with some practical cases listed for verification to provide some references for the application effect of regularized genetic algorithm.
It's necessary to fully and effectively carry out safety assessment on major engineering structures to determine whether there are any damage problems, because scientific and reasonable methods and means can be timely done to optimize the project once any defect is identified, so as to ensure the construction quality and construction level of the project. Beginning with the analysis on application advantages of regularized genetic algorithm in structural damage identification, the application of regularized genetic algorithm was particularly introduced, with some practical cases listed for verification to provide some references for the application effect of regularized genetic algorithm.
引文
[1]谢峰.基于单元模态应变能和遗传算法功能梯度Timoshenko梁和高阶剪切梁的结构损伤识别研究[D].南宁:广西大学,2017.
[2]王名月,缪炳荣,李旭娟,等.基于混合神经遗传算法的梁式结构损伤识别研究[J].机械强度,2017(4):934-939.
[3]吴璠,代李昊.基于GA-BP神经网络的Benchmark模型损伤识别研究[J].山东工业技术,2017(9):247.
[4]黄民水,程劭熙,卢海林.考虑温度影响的结构损伤识别基准有限元模型[J].中外公路,2017(5):112-116.
[5]宋固全,廖群,张纯,等.基于响应面理论的高拱坝模型修正损伤识别研究[J].水力发电学报,2016(9):87-94.
[6]孙诗裕,俞阿龙,赵磊,等.遗传算法与数据融合在桥梁结构损伤识别中的应用[J].公路,2016(4):60-65.
[7]曾瑶.基于遗传算法的结构损伤识别研究[D].南昌:南昌大学,2014.
[8]万昶,曾瑶,张纯,等.基于正则化遗传算法的结构损伤识别[J].南昌大学学报:工科版,2015(2):114-118.
[2]王名月,缪炳荣,李旭娟,等.基于混合神经遗传算法的梁式结构损伤识别研究[J].机械强度,2017(4):934-939.
[3]吴璠,代李昊.基于GA-BP神经网络的Benchmark模型损伤识别研究[J].山东工业技术,2017(9):247.
[4]黄民水,程劭熙,卢海林.考虑温度影响的结构损伤识别基准有限元模型[J].中外公路,2017(5):112-116.
[5]宋固全,廖群,张纯,等.基于响应面理论的高拱坝模型修正损伤识别研究[J].水力发电学报,2016(9):87-94.
[6]孙诗裕,俞阿龙,赵磊,等.遗传算法与数据融合在桥梁结构损伤识别中的应用[J].公路,2016(4):60-65.
[7]曾瑶.基于遗传算法的结构损伤识别研究[D].南昌:南昌大学,2014.
[8]万昶,曾瑶,张纯,等.基于正则化遗传算法的结构损伤识别[J].南昌大学学报:工科版,2015(2):114-118.