提出了一种利用数字图像相关和边界元法进行热弹性分析的新方法

IF 3.4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY International Journal of Mechanical and Materials Engineering Pub Date : 2020-01-22 DOI:10.1186/s40712-019-0115-4
Matheus B. A. M. Oberg, Daniel F. de Oliveira, Jhon N. V. Goulart, Carla T. M. Anflor
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引用次数: 6

摘要

本工作旨在建立一种基于实验稳态温度数据和数值位移评估的新型热弹性分析方法。利用热成像技术获取温度数据,并将其作为边界元法(BEM)程序的输入,以评估其随之而来的热弹性位移。热弹性对最终位移的贡献在边界元计算公式中作为域积分出现,这损害了边界元计算的主要优点。为了避免区域离散化的必要性,采用径向积分法(RIM)将热弹性区域积分转换为等效边界积分。由于其数学发展,RIM的所得公式需要将温差作为函数输入。基于数字图像相关(DIC)分析得到的实验位移场,验证了该方法的有效性。为此,开发了CNC(计算机数控)标记器来打印斑点图案,而不是通过使用手动喷漆或使用市售的预涂粘合剂来制备样品。数值位移与实验位移的比较表明,所提出的方法是可行的。
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A novel to perform a thermoelastic analysis using digital image correlation and the boundary element method

This work aims for a novel thermoelastic analysis methodology based on experimental steady-state temperature data and numerical displacement evaluation. The temperature data was acquired using thermal imaging and used as the input for a boundary element method (BEM) routine to evaluate its consequent thermoelastic displacement. The thermoelastic contribution to the resultant displacement arises in the BEM formulation as a domain integral, which compromises the main benefits of the BEM. To avoid the necessity of domain discretization, the radial integration method (RIM) was applied to convert the thermoelastic domain integral into an equivalent boundary integral. Due to its mathematical development, the resultant formulation from RIM requires the temperature difference to be input as a function. The efficacy of the proposed methodology was verified based on experimental displacement fields obtained via digital image correlation (DIC) analysis. For this purpose, a CNC (computer numerical control) marker was developed to print the speckle pattern instead of preparing the specimen by using manual spray paint or using commercially available pre-painted adhesives. The good agreement observed in the comparison between the numerical and experimental displacements indicates the viability of the proposed methodology.

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来源期刊
CiteScore
8.60
自引率
0.00%
发文量
1
审稿时长
13 weeks
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