DAMAGE IDENTIFICATION OF BEAM STRUCTURE BASED ON HYBRID NEURAL GENETIC ALGORITHM
It has established that a crack has an important effect on the dynamic behavior of a structure.To identify the location and depth of a crack on a structure,a method is presented which uses hybrid neuro-genetic technique.This method combines genetic algorithm（GA） with neural network,and uses genetic...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2017-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.04.033 |
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| _version_ | 1841535276443238400 |
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| author | WANG MingYue MIAO BingRong Li XuJuan YANG ZhongKun |
| author_facet | WANG MingYue MIAO BingRong Li XuJuan YANG ZhongKun |
| author_sort | WANG MingYue |
| collection | DOAJ |
| description | It has established that a crack has an important effect on the dynamic behavior of a structure.To identify the location and depth of a crack on a structure,a method is presented which uses hybrid neuro-genetic technique.This method combines genetic algorithm（GA） with neural network,and uses genetic algorithm to optimize the BP network.Though the finite element analysis,acquire the first three natural frequencies of the beam,which used as inputs into neural network models for damage assessment.Genetic algorithm（GA） optimizes the weights and thresholds of the network,and using the optimization results as the initial value of the three layer BP neural network.Though the training of the sample data,then establish the suitable network.Finally,using the theoretical natural frequencies as the test values,obtain the predicted results of crack parameters.Comparing the theoretical value with the predicted value,the results show that this algorithm can identify the damage structure accurately. |
| format | Article |
| id | doaj-art-a1b9800b668c48a784d938e6647c7b29 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-a1b9800b668c48a784d938e6647c7b292025-01-15T02:34:00ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692017-01-013993493930599162DAMAGE IDENTIFICATION OF BEAM STRUCTURE BASED ON HYBRID NEURAL GENETIC ALGORITHMWANG MingYueMIAO BingRongLi XuJuanYANG ZhongKunIt has established that a crack has an important effect on the dynamic behavior of a structure.To identify the location and depth of a crack on a structure,a method is presented which uses hybrid neuro-genetic technique.This method combines genetic algorithm（GA） with neural network,and uses genetic algorithm to optimize the BP network.Though the finite element analysis,acquire the first three natural frequencies of the beam,which used as inputs into neural network models for damage assessment.Genetic algorithm（GA） optimizes the weights and thresholds of the network,and using the optimization results as the initial value of the three layer BP neural network.Though the training of the sample data,then establish the suitable network.Finally,using the theoretical natural frequencies as the test values,obtain the predicted results of crack parameters.Comparing the theoretical value with the predicted value,the results show that this algorithm can identify the damage structure accurately.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.04.033Crack identificationInverse problemNeural networkGenetic algorithm |
| spellingShingle | WANG MingYue MIAO BingRong Li XuJuan YANG ZhongKun DAMAGE IDENTIFICATION OF BEAM STRUCTURE BASED ON HYBRID NEURAL GENETIC ALGORITHM Jixie qiangdu Crack identification Inverse problem Neural network Genetic algorithm |
| title | DAMAGE IDENTIFICATION OF BEAM STRUCTURE BASED ON HYBRID NEURAL GENETIC ALGORITHM |
| title_full | DAMAGE IDENTIFICATION OF BEAM STRUCTURE BASED ON HYBRID NEURAL GENETIC ALGORITHM |
| title_fullStr | DAMAGE IDENTIFICATION OF BEAM STRUCTURE BASED ON HYBRID NEURAL GENETIC ALGORITHM |
| title_full_unstemmed | DAMAGE IDENTIFICATION OF BEAM STRUCTURE BASED ON HYBRID NEURAL GENETIC ALGORITHM |
| title_short | DAMAGE IDENTIFICATION OF BEAM STRUCTURE BASED ON HYBRID NEURAL GENETIC ALGORITHM |
| title_sort | damage identification of beam structure based on hybrid neural genetic algorithm |
| topic | Crack identification Inverse problem Neural network Genetic algorithm |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.04.033 |
| work_keys_str_mv | AT wangmingyue damageidentificationofbeamstructurebasedonhybridneuralgeneticalgorithm AT miaobingrong damageidentificationofbeamstructurebasedonhybridneuralgeneticalgorithm AT lixujuan damageidentificationofbeamstructurebasedonhybridneuralgeneticalgorithm AT yangzhongkun damageidentificationofbeamstructurebasedonhybridneuralgeneticalgorithm |