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首页> 外文期刊>Inverse Problems in Science and Engineering >Thermal characterization of materials using Karhunen-Loève decomposition techniques - Part I. Orthotropic materials
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Thermal characterization of materials using Karhunen-Loève decomposition techniques - Part I. Orthotropic materials

机译:使用Karhunen-LoÃve分解技术对材料进行热表征-第一部分。正交各向异性材料

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A new method for reliable thermal characterization of orthotropic, homogeneous materials is proposed. It is based on the use of Karhunen-Loève Decomposition (KLD) techniques in association with infrared thermography experiments or any other kind of experimental device providing dense data in the spatial coordinate. Main problem addressed in this paper is how to deal efficiently with large amount of rather noised experimental data. It is proven that orthogonal properties of KLD eigenfunctions and states allow achieving simple estimates of thermal diffusivities which depend only on the first and the second KLD eigenelements. This means that the 2D KLD approximation of the temperature field provides information enough for estimation purposes. As a result, a significant amplification of the signaloise ratios is reached. Moreover, we prove that spatially uncorrelated noise has no effect on KLD eigenfunctions, the noise being entirely reported on states (time-dependent projection coefficients). This is particularly interesting because thermal diffusivities estimation involves spatial derivatives of the eigenfunctions calculation. Consequently, the proposed method results in an attractive combination of parsimony and robustness to noise. Indeed, because it does not require analytical solutions of the associated heat conduction problem, the method could be extended to application involving heterogeneous materials. The second part of the paper deals with this extension.View full textDownload full textKeywordsthermal characterization, infrared thermography, Karhunen-Loève decomposition, singular values decompositionRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/17415977.2012.658388
机译:提出了一种用于正交各向异性均质材料的可靠热表征的新方法。它是基于将Karhunen-Loéve分解(KLD)技术与红外热成像实验或任何其他种类的在空间坐标中提供密集数据的实验设备结合使用的。本文解决的主要问题是如何有效处理大量噪声较大的实验数据。事实证明,KLD本征函数和状态的正交属性可以实现仅依赖于第一和第二KLD本征元素的热扩散率的简单估计。这意味着温度场的2D KLD逼近可提供足够的信息以进行估算。结果,达到了信噪比的显着放大。此外,我们证明了空间不相关的噪声对KLD本征函数没有影响,该噪声完全记录在状态(与时间有关的投影系数)上。这特别有趣,因为热扩散率估算涉及本征函数计算的空间导数。因此,所提出的方法将简约性和对噪声的鲁棒性完美结合。实际上,由于不需要相关的热传导问题的解析解决方案,因此该方法可以扩展到涉及异质材料的应用。本文的第二部分讨论了此扩展。查看全文下载全文关键字热表征,红外热成像,Karhunen-Loéve分解,奇异值分解相关var addthis_config = { ,twitter,technorati,可口,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/17415977.2012.658388

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