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Structural identification of a laboratory-based steel through truss cantilevered bridge with suspended span using a layered genetic algorithm with patternsearch step (GAPS)

机译:使用带模式搜索步骤(GAPS)的分层遗传算法,通过悬臂式桁架悬臂桥对实验室用钢进行结构识别

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摘要

Structural identification (St-Id) can be considered as the process of updating a finite element (FE) model of a structural system to match the measured response of the structure. This paper presents the St-Id of a laboratory-based steel through-truss cantilevered bridge with suspended span. There are a total of 600 degrees of freedom (DOFs) in the superstructure plus additional DOFs in the substructure. The St-Id of the bridge model used the modal parameters from a preliminary modal test in the objective function of a global optimisation technique using a layered genetic algorithm with patternsearch step (GAPS). Each layer of the St-Id process involved grouping of the structural parameters into a number of updating parameters and running parallel optimisations. The number of updating parameters was increased at each layer of the process. In order to accelerate the optimisation and ensure improved diversity within the population, a patternsearch step was applied to the fittest individuals at the end of each generation of the GA. The GAPS process was able to replicate the mode shapes for the first two lateral sway modes and the first vertical bending mode to a high degree of accuracy and, to a lesser degree, the mode shape of the first lateral bending mode. The mode shape and frequency of the torsional mode did not match very well. The frequencies of the first lateral bending mode, the first longitudinal mode and the first vertical mode matched very well. The frequency of the first sway mode was lower and that of the second sway mode was higher than the true values, indicating a possible problem with the FE model. Improvements to the model and the St-Id process will be presented at the upcoming conference and compared to the results presented in this paper. These improvements will include the use of multiple FE models in a multi-layered, multi-solution, GAPS St-Id approach.
机译:结构识别(St-Id)可被视为更新结构系统的有限元(FE)模型以匹配结构的测量响应的过程。本文介绍了具有跨度悬架的实验室钢制桁架悬臂桥的St-Id。上层结构中总共有600个自由度(DOF),下层结构中又有其他自由度。桥梁模型的St-Id使用具有模式搜索步骤(GAPS)的分层遗传算法的全局优化技术的目标函数,使用了来自初步模态测试的模态参数。 St-Id过程的每一层都涉及将结构参数分组为多个更新参数并进行并行优化。在过程的每一层,更新参数的数量都增加了。为了加快优化速度并确保种群内的多样性得到改善,在GA的每一代末尾,对最适个体进行了模式搜索步骤。 GAPS过程能够以较高的精度复制前两个横向摇摆模式和第一垂直弯曲模式的模式形状,并以较小的程度复制第一横向弯曲模式的模式形状。扭转模式的模式形状和频率并不十分匹配。第一横向弯曲模式,第一纵向模式和第一垂直模式的频率非常匹配。第一摇摆模式的频率较低,第二摇摆模式的频率高于真实值,表明有限元模型可能存在问题。该模型和St-Id流程的改进将在即将到来的会议上进行介绍,并与本文中介绍的结果进行比较。这些改进将包括在多层,多解决方案GAPS St-Id方法中使用多个有限元模型。

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