TSA中不同频率和材料特性的温度模式:有限元方法

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
G. Duarte, Ana Neves, António Ramos Silva
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引用次数: 0

摘要

热成像技术在结构完整性监测和机械系统行为分析中越来越受欢迎,因为它们是非接触的、非侵入的、快速部署的,适用于恶劣环境下的结构,并且可以在现场进行。更重要的是,由于数码相机、红外相机和计算能力的进步,图像光学技术的使用在过去几十年中迅速增长。这项工作的重点是热弹性应力分析(TSA),其主要目标是基于模拟该技术的有限元方法创建一个计算模型,以评估和量化包括正交各向异性在内的材料特性的变化如何影响TSA获得的应力结果。对两个样品(紧凑型和单搭接接头)进行了数值模拟。将所建立的数值模型与以前的实验室试验进行比较,结果表明,这两种样品的应力测试都有很好的代表性。创建的模型适用于各种材料,包括纤维增强复合材料。这项工作还强调了使用各向异性材料进行实验室测试的必要性,以更好地了解TSA潜力并改进开发的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temperature Patterns in TSA for Different Frequencies and Material Properties: A FEM Approach
Thermography techniques are gaining popularity in structural integrity monitoring and analysis of mechanical systems’ behavior because they are contactless, non-intrusive, rapidly deployable, applicable to structures under harsh environments, and can be performed on-site. More so, the use of image optical techniques has grown quickly over the past several decades due to the progress in the digital camera, infrared camera, and computational power. This work focuses on thermoelastic stress analysis (TSA), and its main goal was to create a computational model based on the finite element method that simulates this technique, to evaluate and quantify how the changes in material properties, including orthotropic, affect the results of the stresses obtained with TSA. The numeric simulations were performed for two samples, compact and single lap joints. when comparing the numeric model developed with previous laboratory tests, the results showed a good representation of the stress test for both samples. The created model is applicable to various materials, including fiber-reinforced composites. This work also highlights the need to perform laboratory tests using anisotropic materials to better understand the TSA potential and improve the developed models.
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来源期刊
Mathematical & Computational Applications
Mathematical & Computational Applications MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
自引率
10.50%
发文量
86
审稿时长
12 weeks
期刊介绍: Mathematical and Computational Applications (MCA) is devoted to original research in the field of engineering, natural sciences or social sciences where mathematical and/or computational techniques are necessary for solving specific problems. The aim of the journal is to provide a medium by which a wide range of experience can be exchanged among researchers from diverse fields such as engineering (electrical, mechanical, civil, industrial, aeronautical, nuclear etc.), natural sciences (physics, mathematics, chemistry, biology etc.) or social sciences (administrative sciences, economics, political sciences etc.). The papers may be theoretical where mathematics is used in a nontrivial way or computational or combination of both. Each paper submitted will be reviewed and only papers of highest quality that contain original ideas and research will be published. Papers containing only experimental techniques and abstract mathematics without any sign of application are discouraged.
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