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首页> 外文期刊>Journal of structural engineering >Hybrid Simulation With Improved Operator-splitting Integration Using Experimental Tangent Stiffnessrnmatrix Estimation
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Hybrid Simulation With Improved Operator-splitting Integration Using Experimental Tangent Stiffnessrnmatrix Estimation

机译:实验切线刚度矩阵估计的改进算子分解积分混合仿真

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摘要

Improved numerical integration procedures are essential for the extension of hybrid numerical and experimental simulation to large and complex structural systems. While implicit integration algorithms are widely used in pure numerical simulations for their superior stability and accuracy, their direct application to hybrid simulation has been partially limited by difficulties in estimating the tangent stiffness matrix of multi-degree-of-freedom experimental substructures. Current applications of hybrid simulation using integrators with improved stability have mostly resorted to methods that are noniterative or utilize the initial stiffness matrix for iterative corrections. To improve the accuracy of integration procedures for hybrid simulation, a new method for online estimation of experimental tangent stiffness is proposed. The stiffness estimation procedure is tailored for fast online applications by transforming the measurements into a coordinate system, which reduces the number of unknown stiffness coefficients that need to be updated during the simulation. The updated experimental stiffness matrix is used in a modified operator-splitting integration scheme to improve the accuracy of hybrid simulations with highly nonlinear experimental substructures. The application and effectiveness of the proposed approach is demonstrated through hybrid simulations with multi-degree-of-freedom experimental substructures.
机译:改进的数值积分程序对于将混合数值模拟和实验模拟扩展到大型复杂结构系统至关重要。虽然隐式积分算法因其优越的稳定性和准确性而在纯数值模拟中被广泛使用,但它们在混合仿真中的直接应用受到部分困难,因为它难以估算多自由度实验子结构的切线刚度矩阵。使用具有提高的稳定性的积分器的混合仿真的当前应用大部分诉诸于非迭代的方法或利用初始刚度矩阵进行迭代校正的方法。为了提高混合仿真积分程序的准确性,提出了一种在线估计实验切线刚度的新方法。通过将测量结果转换为坐标系,可以为快速在线应用量身定制刚度估算程序,从而减少了在仿真过程中需要更新的未知刚度系数的数量。更新的实验刚度矩阵用于改进的算子分解积分方案中,以提高具有高度非线性实验子结构的混合仿真的准确性。通过具有多自由度实验子结构的混合仿真,证明了该方法的应用和有效性。

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