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Inverse Models and Implications for NDE

机译：对NDE的反模型和含义

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摘要

Any NDE process may be considered to involve three systems, each having a unique set of parameters that define its characteristics viz. (a) The Input to the material, (b) The material itself, and (c) The output response measured by the NDE system. Traditionally, the input and the material parameters are assumed known and numerous Forward Models have been developed that predict or estimate the output response function. Over the years, forward models are very well established and serve the key purpose, for improved interpretation of the, as well as to optimize the input parameters to obtain the desired, output response. The other two scenarios i.e. if the output response function in the form of measured data is available, to obtain one of system parameters, i.e. either the input function or the material properties, while the other one is assumed to be known are classified as Inverse Problems. Due to the availability of computational resources, the inverse problem solutions are becoming increasingly feasible. Typical applications include measurement of material properties such as modulus, viscosity, temperature, hardness and stress profiles, etc. This paper will discuss the different techniques and the kinds of problems that have been successfully addressed in the area of NDE and their implications on the expanding horizons in NDE.
机译：可以认为任何NDE过程涉及三个系统，每个系统具有独特的参数，这些参数集定义其特征viz。 （a）对材料的输入，（b）材料本身，和（c）由NDE系统测量的输出响应。传统上，假设输入和材料参数已知，并且已经开发了许多前进模型，其预测或估计输出响应函数。多年来，前瞻性模型建立得很好并服务于关键目的，以改善对诠释的，以及优化输入参数以获得所需的输出响应。另外两个场景即如果以测量数据形式的输出响应函数可用，则获得系统参数之一，即输入函数或材料属性，而另一个被认为是已知的分类为逆问题。由于计算资源的可用性，逆问题解决方案变得越来越可行。典型的应用包括测量材料性质，例如模量，粘度，温度，硬度和应力分布等。本文将讨论在NDE面积中成功解决的不同技术和各种问题及其对扩展的影响地平线在NDE。

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