A genetic algorithm of optimal design of beam at restricted sagging

Q3 Computer Science Radioelectronic and Computer Systems Pub Date : 2022-02-23 DOI:10.32620/reks.2022.1.06
Sergiy Kurennov, K. Barakhov, I. Taranenko, V. Stepanenko
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引用次数: 5

Abstract

A genetic algorithm for solving the problem of optimal beam material distribution along length at a given restriction on maximum sagging value is suggested. A review of literature sources is conducted and it was shown that existing solutions cover partial cases only in which the position of the point with maximum sagging was defined previously. In the paper presented I-section beam with constant proportions is considered, i.e., beam width, caps, and web thickness are proportional to beam height in the current cross-section. A statically determined beam is being considered. The load applied to a beam can be arbitrary, including cases of non-symmetrical loads and differently oriented ones. The position of point(s) at which beam sagging is maximum are unknown at the beginning of optimization and are found in the process solution. The problem is solved in the linear definition. Beam mass was assumed to be an optimization criterion. The method of finite differences is used for beam sagging finding, i.e., for the solution of the differential equation of the bending beam with a variable cross-section. Discretization allows transforming the problem of design into the problem of beam height determination at a system of reference points. At this stage, found values of beam height must satisfy restrictions on reference point displacements. The suggested technique allows controlling beam displacement quite flexibly because restrictions on point displacement are considered separately and do not depend on each other. The suggested objective function is the linear superposition of beam mass and the possible penalty in case of beam maximum sagging over exceeding predefined values. The application of a genetic algorithm allows getting sets of beam thicknesses those, which guaranty reaching the minimum of the objective function. The model problem is solved. It is shown that the suggested algorithm allows effectively solves problems of optimal design of beams with restrictions on the maximum sagging value. The suggested approach can be developed for strength restrictions, statically undetermined structures, etc.
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约束下垂梁优化设计的遗传算法
提出了一种遗传算法,用于求解在给定最大下垂值限制下梁材料沿长度的最优分布问题。对文献来源进行了审查,结果表明,现有的解决方案仅涵盖先前定义了最大下垂点位置的部分情况。在本文中,考虑了具有恒定比例的I形截面梁,即梁宽度、帽盖和腹板厚度与当前截面中的梁高度成比例。正在考虑静态确定的梁。施加在梁上的载荷可以是任意的,包括非对称载荷和不同方向载荷的情况。梁下垂最大的点的位置在优化开始时是未知的,并且在过程解决方案中找到。这个问题在线性定义中得到了解决。梁质量被认为是一个优化标准。有限差分法用于梁下垂的求解,即求解变截面弯曲梁的微分方程。离散化允许将设计问题转化为参考点系统处的梁高度确定问题。在此阶段,梁高度的发现值必须满足参考点位移的限制。所建议的技术允许非常灵活地控制梁位移,因为对点位移的限制是单独考虑的,并且彼此不依赖。建议的目标函数是梁质量的线性叠加,以及在梁最大下垂超过预定义值的情况下可能的惩罚。遗传算法的应用可以得到保证达到目标函数最小值的光束厚度集。模型问题得到了解决。结果表明,所提出的算法可以有效地解决梁的优化设计问题,并限制最大下垂值。建议的方法可以用于强度限制、静态待定结构等。
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来源期刊
Radioelectronic and Computer Systems
Radioelectronic and Computer Systems Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
3.60
自引率
0.00%
发文量
50
审稿时长
2 weeks
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