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首页> 外文期刊>Journal of Engineering Mechanics >Bayesian Updating Model for Structural Vibration-Induced Hydrodynamic Added Mass of Rectangular Pile Cap Submerged in Water
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Bayesian Updating Model for Structural Vibration-Induced Hydrodynamic Added Mass of Rectangular Pile Cap Submerged in Water

机译:水中结构振动诱导的矩形桩帽浸没水中抗体诱导水动力学额外型号的贝叶斯更新模型

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摘要

This paper focuses on the calculation of the structural vibration-induced hydrodynamic added mass of the rectangular pile cap submerged in water. A total of 150 pile caps with different physical parameters are sampled by Latin hypercube sampling (LHS). The added mass coefficients of all the pile cap samples are computed using a three-dimensional (3D) potential-based numerical method. Based on the database of physical parameters and added mass coefficient results of the pile cap samples, the analytical model with Bayesian updating for the hydrodynamic added mass of the rectangular pile cap is proposed. The proposed model consists of a deterministic model and the additional correction terms accounting for the model inherent bias and model error. The formulation of the model is expressed as a function of a series of physical parameters of the pile cap. The unknown parameters in the proposed model are updated based on the produced database, and the formulation of the correction terms is optimized through a stepwise deletion process. The proposed model is then applied to calculate the hydrodynamic added mass according to the experimental modal testing setup of the isolated pile cap specimens and the group-pile cap foundation specimens submerged in water, respectively. Through the comparison between the modal results from the experiments and the proposed model, it is concluded that the proposed model can efficiently estimate the hydrodynamic added mass of a rectangular pile cap submerged in water with acceptable prediction error.
机译:本文侧重于计算水中矩形桩帽的结构振动诱导的水动力学额外质量的计算。通过拉丁超级采样(LHS)采样共采样150个具有不同物理参数的桩帽。使用基于三维(3D)电位的数值方法计算所有绒毛上帽样本的添加质量系数。基于物理参数的数据库和桩帽样本的增加质量系数结果,提出了具有贝叶斯更新对矩形桩帽的贝叶斯更新的分析模型。所提出的模型包括确定性模型和额外的校正项,用于模型固有的偏差和模型错误。该模型的制剂表示为桩帽的一系列物理参数的函数。基于所产生的数据库更新所提出的模型中的未知参数,并且通过逐步删除过程优化校正项的配方。然后应用所提出的模型以分别计算孤立的桩帽样本的实验模态试验装置和浸没在水中的群桩帽基础标本的水动力学添加质量。通过对实验和所提出的模型的模态结果之间的比较,得出结论是,所提出的模型可以有效地估计在水中浸没在水中的矩形桩帽的流体动力学额外的质量。

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