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Modeling and algorithm on a class of mechanical systems with unilateral constraints

机译:一类具有单边约束的机械系统的建模和算法

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In the present paper, the cable-structures are considered as a class of mechanical complementary-slackness systems. Based on the optimization algorithms used for multi-body dynamics with unilateral contacts, an algorithm by means of artificial neural network (NNW) is developed. The following two classes of cable-structures have been considered: force-elongation of cable member follows elastic behavior and work-hardening assumption. Due to simplicity the former is used to prove the method reliability, and the latter, as general cable-structure problem is handled. First, the complementarity problems for those structures have been formulated; then using generalized Gaussian' least action principle they are summarized as an optimization problem. Based on Hopfield's work, an artificial NNW has been designed and used to decide combination of possible constraints at each step in simulation. As examples, two cable-structures have been investigated. The calculated results for a simple suspension structure evidence the reliability and time-economization of the proposed method. An example of guyed mast shows the suitability of the proposed method for practical cable-structures.
机译:在本文中,电缆结构被认为是一类机械的互补松弛系统。基于单边接触多体动力学的优化算法,提出了一种基于人工神经网络的算法。已经考虑了以下两类电缆结构:电缆构件的力-伸长遵循弹性行为和加工硬化假设。由于简单,前者用于证明方法的可靠性,而后者则用于处理一般的电缆结构问题。首先,已经提出了这些结构的互补性问题。然后使用广义高斯最小作用原理将它们概括为一个优化问题。基于Hopfield的工作,已设计了人工NNW,并用于确定仿真每个步骤中可能约束的组合。作为示例,已经研究了两种电缆结构。简单悬架结构的计算结果证明了该方法的可靠性和时间经济性。桅杆的一个例子说明了所提出的方法对实际电缆结构的适用性。

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