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Damage Identification of Trusses with Elastic Supports Using FEM and Genetic Algorithm

机译:基于有限元和遗传算法的弹性支撑桁架损伤识别

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摘要

The computationally efficient damage identification technique for truss structures with elastic supports is proposed based on the force method. To transform the truss with supports into the equivalent free-standing model without supports, the novel zero-length dummy members are employed. General equilibrium equations and kinematic relations, in which the reaction forces and the displacements at the elastic supports are taken into account, are clearly formulated. The compatibility equations, in terms of forces in which the flexibilities of elastic supports are considered, are explicitly presented using the singular value decomposition (SVD) technique. Both member and reaction forces are simultaneously and directly obtained. Then, all nodal displacements including constrained nodes are back calculated from the member and reaction forces. Next, the microgenetic algorithm (MGA) is used to properly identify the site and the extent of multiple damages in truss structures. In order to verify the superiority of the current study, the numerical solutions are presented for the planar and space truss models with and without elastic supports. The numerical results indicate that the computational effort required by this study is found to be significantly lower than that of the displacement method.
机译:基于力法,提出了一种计算有效的弹性支撑桁架结构损伤识别技术。要将具有支撑的桁架转换为等效的无支撑独立模型,可使用新型零长度虚拟构件。明确制定了一般平衡方程和运动学关系,其中考虑了反作用力和弹性支撑处的位移。使用奇异值分解(SVD)技术明确表示了考虑力的作用力的相容性方程。同时可以直接获得分力和反作用力。然后,根据杆件和反作用力反算包括受约束节点在内的所有节点位移。接下来,使用微遗传算法(MGA)正确识别桁架结构中的位置和多重破坏的程度。为了验证当前研究的优越性,提出了带有和不带有弹性支撑的平面和空间桁架模型的数值解。数值结果表明,这项研究所需的计算工作量明显低于位移法。

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