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Damage Detection on Frescoes Paintings by Active IR-Thermography Soft-Sensing

机译:主动IR热法感应壁画绘画损坏检测

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Active thermography is a Non Destructive Technique (NDT) for composite materials testing, largely applied in aeronautics applications. Some previous works have also demonstrated its power for damage detection in frescoes and paintings. Active thermography is based on the measurement of the 2D thermal emission of an object surface when the object is exposed to a thermal flux. The thermal flux propagation inside the object affects its surface temperature and emissivity, which can be measured by an Infra-Red (IR) thermal camera. The presence of defects inside the object, as detachment between different layers, modify the propagation of the heat flow and consequently the surface temperature distribution, which can be used for the damage identification. Unfortunately, damage detection is often based on the subjective identification of discontinuities in the thermal maps that typically relies on the operator expertise. To make the identification objective, simplified mono-dimensional models have been used for the detachment modelling and for grounding their recognition and localization on a correlation between experimental thermograms and modelled ones. This paper proposes a new approach linking the experimental 2D measurements to a FE model of the element under test in order to update the model with the measured data and optimise its inputs, i.e. the thermo-mechanical characteristics of the object, to be able to localise a potential damage and its depth. In this work, the authors have performed a feasibility analysis of the method, have optimised the computational effort and have experimentally determined the properties of the material, which the object under test is made of, that have a strong influence on the uncertainty of the method itself. The 3D extension of the model is under evaluation and it will be included in a future work.
机译:活性热成像是一种非破坏性技术(NDT),用于复合材料测试,主要应用于航空应用。一些以前的作品还证明了它在壁画和绘画中造成损坏的力量。当物体暴露于热量通量时,有源热成像基于物体表面的2D热发射的测量。物体内的热通量传播会影响其表面温度和发射率,可通过红外线(IR)热摄像头测量。在物体内部存在缺陷,作为不同层之间的脱离,改变热流的传播,从而改变了可以用于损坏识别的表面温度分布。遗憾的是,损坏检测通常基于热贴图中的不连续性的主观识别,这些内不连续性通常依赖于操作员专业知识。为了使识别目的,简化的单维模型已被用于分离建模,并在实验热图和建模的相关性上接受它们的识别和定位。本文提出了一种新的方法,将实验2D测量与被测元素的FE模型连接,以便用测量的数据更新模型并优化其输入,即对象的热机械特性,以便能够定位潜在的伤害及其深度。在这项工作中,作者对该方法进行了可行性分析,优化了计算努力,并通过实验确定了所测试物体的物质的材料的性质,这对方法的不确定性产生了强烈影响本身。该模型的3D扩展位于评估中,将在未来的工作中包含。

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