Model Updating Method Based on Kriging Model for Structural Dynamics
Model updating in structural dynamics has attracted much attention in recent decades. And high computational cost is frequently encountered during model updating. Surrogate model has attracted considerable attention for saving computational cost in finite element model updating (FEMU). In this study...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2019/8086024 |
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| _version_ | 1832545373417111552 |
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| author | Hong Yin Jingjing Ma Kangli Dong Zhenrui Peng Pan Cui Chenghao Yang |
| author_facet | Hong Yin Jingjing Ma Kangli Dong Zhenrui Peng Pan Cui Chenghao Yang |
| author_sort | Hong Yin |
| collection | DOAJ |
| description | Model updating in structural dynamics has attracted much attention in recent decades. And high computational cost is frequently encountered during model updating. Surrogate model has attracted considerable attention for saving computational cost in finite element model updating (FEMU). In this study, a model updating method using frequency response function (FRF) based on Kriging model is proposed. The optimal excitation point is selected by using modal participation criterion. Initial sample points are chosen via design of experiment (DOE), and Kriging model is built using the corresponding acceleration frequency response functions. Then, Kriging model is improved via new sample points using mean square error (MSE) criterion and is used to replace the finite element model to participate in optimization. Cuckoo algorithm is used to obtain the updating parameters, where the objective function with the minimum frequency response deviation is constructed. And the proposed method is applied to a plane truss model FEMU, and the results are compared with those by the second-order response surface model (RSM) and the radial basis function model (RBF). The analysis results showed that the proposed method has good accuracy and high computational efficiency; errors of updating parameters are less than 0.2%; damage identification is with high precision. After updating, the curves of real and imaginary parts of acceleration FRF are in good agreement with the real ones. |
| format | Article |
| id | doaj-art-6f5ee2ce906148af9f22e14fcfb7cb67 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-6f5ee2ce906148af9f22e14fcfb7cb672025-02-03T07:26:05ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/80860248086024Model Updating Method Based on Kriging Model for Structural DynamicsHong Yin0Jingjing Ma1Kangli Dong2Zhenrui Peng3Pan Cui4Chenghao Yang5School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaModel updating in structural dynamics has attracted much attention in recent decades. And high computational cost is frequently encountered during model updating. Surrogate model has attracted considerable attention for saving computational cost in finite element model updating (FEMU). In this study, a model updating method using frequency response function (FRF) based on Kriging model is proposed. The optimal excitation point is selected by using modal participation criterion. Initial sample points are chosen via design of experiment (DOE), and Kriging model is built using the corresponding acceleration frequency response functions. Then, Kriging model is improved via new sample points using mean square error (MSE) criterion and is used to replace the finite element model to participate in optimization. Cuckoo algorithm is used to obtain the updating parameters, where the objective function with the minimum frequency response deviation is constructed. And the proposed method is applied to a plane truss model FEMU, and the results are compared with those by the second-order response surface model (RSM) and the radial basis function model (RBF). The analysis results showed that the proposed method has good accuracy and high computational efficiency; errors of updating parameters are less than 0.2%; damage identification is with high precision. After updating, the curves of real and imaginary parts of acceleration FRF are in good agreement with the real ones.http://dx.doi.org/10.1155/2019/8086024 |
| spellingShingle | Hong Yin Jingjing Ma Kangli Dong Zhenrui Peng Pan Cui Chenghao Yang Model Updating Method Based on Kriging Model for Structural Dynamics Shock and Vibration |
| title | Model Updating Method Based on Kriging Model for Structural Dynamics |
| title_full | Model Updating Method Based on Kriging Model for Structural Dynamics |
| title_fullStr | Model Updating Method Based on Kriging Model for Structural Dynamics |
| title_full_unstemmed | Model Updating Method Based on Kriging Model for Structural Dynamics |
| title_short | Model Updating Method Based on Kriging Model for Structural Dynamics |
| title_sort | model updating method based on kriging model for structural dynamics |
| url | http://dx.doi.org/10.1155/2019/8086024 |
| work_keys_str_mv | AT hongyin modelupdatingmethodbasedonkrigingmodelforstructuraldynamics AT jingjingma modelupdatingmethodbasedonkrigingmodelforstructuraldynamics AT kanglidong modelupdatingmethodbasedonkrigingmodelforstructuraldynamics AT zhenruipeng modelupdatingmethodbasedonkrigingmodelforstructuraldynamics AT pancui modelupdatingmethodbasedonkrigingmodelforstructuraldynamics AT chenghaoyang modelupdatingmethodbasedonkrigingmodelforstructuraldynamics |