Surrogate articular contact models for computationally efficient multibody dynamic simulations
Surrogate articular contact models for computationally efficient multibody dynamic simulations
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DOI：
10.1016/j.medengphy.2010.02.008
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发表时间：
2010-07-01
影响因子：
2.2
通讯作者：
Fregly, Benjamin J.
中科院分区：
文献类型：
--
作者：
Lin, Yi-Chung;Haftka, Raphael T.;Fregly, Benjamin J.
接触发生在各种各样的多体动力学系统中，包括人体肌肉骨骼系统。然而，这种系统的灵敏度和优化研究受到重复接触分析的高计算成本的限制。本研究提出了一种新的代理建模方法，用于在多体动力学仿真中进行计算效率高的三维弹性接触分析。该方法将计算上便宜的替代接触模型拟合到从计算上昂贵的弹性接触模型（例如，有限元或弹性基础模型），并解决了将替代建模技术应用于弹性接触问题所涉及的几个独特挑战。作为一个示例应用程序，我们进行了斯坦莫尔磨损模拟机使用代理和弹性基础（EF）接触模型的全膝关节置换的多体动力学模拟。通过使用两种类型的接触模型进行11次动态模拟来评估准确度，这些接触模型利用了机器运动和负载输入的较大变化。替代接触模型预测的磨损量在EF接触模型预测的磨损量的1.5%以内。计算速度进行了评估，通过执行五个蒙特卡洛分析（超过1000个动态模拟）与替代接触模型，利用运动和负载输入的现实变化。计算时间从使用EF接触模型的每次分析估计的284小时减少到使用替代接触模型的1.4小时（即，17 min vs. 5s/模拟），观察到运动变化的磨损敏感性高于载荷变化。所提出的代理建模方法可以显着提高多体动力学仿真的计算速度，将三维弹性接触模型与一般的表面几何。(C)2010年，妇女平等问题国际研究所。由爱思唯尔有限公司出版。保留所有权利。
Contact occurs in a wide variety of multibody dynamic systems, including the human musculoskeletal system. However, sensitivity and optimization studies of such systems have been limited by the high computational cost of repeated contact analyses. This study presents a novel surrogate modeling approach for performing computationally efficient three-dimensional elastic contact analyses within multibody dynamic simulations. The approach fits a computationally cheap surrogate contact model to data points sampled from a computationally expensive elastic contact model (e.g., a finite element or elastic foundation model) and resolves several unique challenges involved in applying surrogate modeling techniques to elastic contact problems. As an example application, we performed multibody dynamic simulations of a Stanmore wear simulator machine using surrogate and elastic foundation (EF) contact models of a total knee replacement. Accuracy was assessed by performing eleven dynamic simulations with both types of contact models utilizing large variations in motion and load inputs to the machine. Wear volumes predicted with the surrogate contact models were within 1.5% of those predicted with the EF contact models. Computational speed was assessed by performing five Monte Carlo analyses (over 1000 dynamic simulations each) with surrogate contact models utilizing realistic variations in motion and load inputs. Computation time was reduced from an estimated 284 h per analysis with the EF contact models to 1.4 h with the surrogate contact models (i.e., 17 min vs. 5s per simulation), with higher wear sensitivity observed for motion variations than for load variations. The proposed surrogate modeling approach can significantly improve the computational speed of multibody dynamic simulations incorporating three-dimensional elastic contact models with general surface geometry. (C) 2010 IPEM. Published by Elsevier Ltd. All rights reserved.