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Implicit Numerical Integration for Design Sensitivity Analysis of Rigid Multibody Systems

机译:刚性多体系统设计灵敏度分析的隐式数值积分

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An implicit Runge-Kutta numerical integration algorithm based on generalized coordinate partitioning is presented for solution of the differential-algebraic equations of motion and design sensitivity analysis for rigid multibody systems. The direct differentiation method for dynamic sensitivity analysis is employed to obtain differential-algebraic sensitivity equations. The implicit integration formula expresses design sensitivity of independent generalized coordinates and their first-time derivative as functions of sensitivities of independent accelerations at discrete integration times. The same integration Jacobian is used to determine generalized independent accelerations and their sensitivities, by iteratively solving the equations obtained from state-space, second-order ordinary differential equations in independent coordinates. Design sensitivities of dependent variables in the formulation, including design sensitivities of Lagrange multipliers, are recovered by satisfying the full design sensitivity system of kinematic and kinetic equations of motion. Design sensitivity analysis results are verified using finite differences, and a comparison with an explicit numerical integration algorithm is performed to validate the efficiency of the proposed algorithm for design sensitivity analysis of stiff vehicle models.
机译:提出了一种基于广义坐标划分的隐式Runge-Kutta数值积分算法,用于求解运动微分-代数方程,并针对刚性多体系统进行了设计灵敏度分析。采用动态灵敏度分析的直接微分方法获得微分代数灵敏度方程。隐式积分公式将独立广义坐标的设计灵敏度及其一阶导数表示为离散积分时间处独立加速度的灵敏度的函数。通过迭代求解在独立坐标中从状态空间,二阶常微分方程获得的方程,使用相同的积分雅可比矩阵确定广义的独立加速度及其灵敏度。通过满足运动的运动学和动力学方程的完整设计灵敏度系统,可以恢复配方中因变量的设计灵敏度,包括拉格朗日乘数的设计灵敏度。使用有限差分验证设计灵敏度分析结果,并与显式数值积分算法进行比较,以验证所提出算法对刚性车辆模型的设计灵敏度分析的效率。

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