Abstract
In this work, a new finite element (FE) model calibration method of concrete dams based on strong-motion records and multivariate relevant vector machines (MRVM) is proposed. The modal features of a dam are extracted using second order blind identification (SOBI) based method at first. For some selected combinations of uncertain parameters of the FE model using the Latin hypercube design, the corresponding structural modal features are calculated using the finite element method (FEM). With these data, a procedure to calibrate the uncertain parameters of a dam’s dynamic FE model is developed. By taking the uncertain parameters as inputs and the calculated structural modal features using FEM as outputs, the MRVM model is trained to record the complex relationship between them. Then, the genetic algorithm (GA) is adopted to solve the optimization problem corresponding to the dynamic FE model calibration problem, and the trained MRVM model, instead of FEM, is used to obtain the modal parameters of a dam for different feasible solutions during the optimization search process to improve the computational efficiency. Using the simulated seismic response records of a numerical example the accuracy, robustness and computation efficiency of the proposed dynamic FE model calibration method is verified. The analysis result using the strong-motion records of a realistic concrete dam indicates that the proposed dynamic FE model calibration method has good performance.
Highlights
For dams and other hydraulic structures located in high seismic intensity areas, it is good to use some numerical simulation method, such as dynamic finite element analysis (FEA), to solve the structural analysis problem under earthquake excitation
A dynamic FE model calibration method of concrete dams based on strong-motion records and multivariate relevant vector machines (MRVM) is proposed
For the dynamic FE model calibration problem, the input vector refers to uncertain design parameters and the targets refers to modal features calculated using finite element method (FEM), i.e. , ( = 1, 2,..., ) and Φ, ( = 1, 2,..., )
Summary
For dams and other hydraulic structures located in high seismic intensity areas, it is good to use some numerical simulation method, such as dynamic finite element analysis (FEA), to solve the structural analysis problem under earthquake excitation. THE DYNAMIC FINITE ELEMENT MODEL CALIBRATION METHOD OF CONCRETE DAMS BASED ON STRONG-MOTION RECORDS AND MULTIVARIATE RELEVANT VECTOR MACHINES. The multivariate version of RVM model, i.e. multivariate relevant vector machines (MRVM) [19, 20], is introduced to improve the computational efficiency of the dynamic model calibration process of a dam. The attraction of the MRVM is that it has good generalization performance while achieving sparsity in the representation with no parameters to set and without being limited to Mercer kernels [21] It is a multiple-output model, which can reduce the time for the training process. A dynamic FE model calibration method of concrete dams based on strong-motion records and MRVM is proposed. Using a numerical and practical engineering as an example, the effectiveness of the proposed dynamic FE model calibration method of concrete dams in this paper is verified, and some conclusions are made based on the analysis results
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
