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Highly Efficient Model Updating for Structural Condition Assessment of Large-Scale Bridges.
| 题名： | Highly Efficient Model Updating for Structural Condition Assessment of Large-Scale Bridges. |
| 作者： | Carrasco, C.; Terado, C.; Wang, H. |
| 关键词： | Intelligent compaction, Nonlinear model, Unbound granular base materials, Numerical simulation, Lightweight deflectometer (LWD), Soil stiffness, Performance, Quality control |
| 摘要： | For eciently updating models of large-scale structures, the response surface (RS) method based on radial basis functions (RBFs) is proposed to model the input-output relationship of structures. The key issues for applying the proposed method are discussed, such as selecting the optimal shape parameters of RBFs, generating samples by using design of experiments (DOE) and evaluating the RS model. The RS methods based on RBFs of Gaussian (GA), inverse quadratic (IQ), multiquadric (MQ) and inverse multi-quadric (IMQ) are investigated. Results have demonstrated that RS methods based on RBFs can achieve a high approximation accuracy and better performance than the RS method based on polynomial function. The proposal method has been validated numerically and experimentally on a cable-stayed bridge model. |
| 总页数： | Carrasco, C.; Terado, C.; Wang, H. |
| 报告类型： | 科技报告 |
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