Solving Large-Deflection Problem of Spatial Beam with Circular Cross-Section Using an Optimization-Based Runge–Kutta Method

IF 1.5 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal of Nonlinear Sciences and Numerical Simulation Pub Date : 2016-02-01 DOI:10.1515/ijnsns-2015-0053
Geng Li, J. Jia, Guimin Chen
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引用次数: 3

Abstract

Abstract Based on the Bernoulli–Euler beam theory, the nonlinear governing differential equations (GDEs) for a spatially deflected beam with circular cross-section are formulated, which are then reduced to first-order differential equations to be compatible with Runge–Kutta method. With the boundary conditions of a spatial beam, the governing equations are treated as an initial value problem (IVP) of ordinary differential equations. A Runge–Kutta method combined with an unconstrained optimization algorithm (RKUO) is presented to solve the IVP. The approach for determining the orientation of the cross-section plane at any position on the deflected beam is also provided. Finally, the comparison between the RKUO results and those achieved using nonlinear finite element (NFE) analysis and spatial pseudo-rigid-body model validate the accuracy and effectiveness of RKUO. The results also demonstrated the unique capabilities of RKUO to solve large spatial deflection problems that are outside the range of nonlinear finite element model.
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基于优化的龙格-库塔法求解圆形截面空间梁大挠度问题
摘要基于Bernoulli-Euler梁理论,建立了具有圆形截面的空间偏转梁的非线性控制微分方程,并将其简化为与龙格-库塔方法兼容的一阶微分方程。在空间梁的边界条件下,将控制方程视为常微分方程的初值问题。提出了一种结合无约束优化算法(RKUO)的龙格-库塔法求解IVP问题。还提供了用于确定在偏转梁上任何位置的横截面平面方向的方法。最后,将RKUO计算结果与非线性有限元分析和空间拟刚体模型计算结果进行了比较,验证了RKUO计算结果的准确性和有效性。结果还证明了RKUO解决非线性有限元模型范围之外的大空间挠度问题的独特能力。
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来源期刊
CiteScore
2.80
自引率
6.70%
发文量
117
审稿时长
13.7 months
期刊介绍: The International Journal of Nonlinear Sciences and Numerical Simulation publishes original papers on all subjects relevant to nonlinear sciences and numerical simulation. The journal is directed at Researchers in Nonlinear Sciences, Engineers, and Computational Scientists, Economists, and others, who either study the nature of nonlinear problems or conduct numerical simulations of nonlinear problems.
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