首页> 外文会议>International Symposium on Nondestructive Testing Contribution to the Infrastructure Safety Systems in the 21st Century NDTISS'99 Nov 22-26, 1999 Torres, RS, Brazil >Part Ⅴ. Artificial Intelligence, Computer Processing and Simulation- MATHEMATICAL METHODS OF EXPERIMENTAL DESIGN IN NONDESTRUCTIVE TESTING
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Part Ⅴ. Artificial Intelligence, Computer Processing and Simulation- MATHEMATICAL METHODS OF EXPERIMENTAL DESIGN IN NONDESTRUCTIVE TESTING

机译:第五部分。人工智能,计算机处理和仿真-无损检测实验设计的数学方法

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Non-destructive quality control of structural materials is based on the calibration dependence indirect non-destructive characteristic Z - material property R determined by both destructive and non-destructive tests. The form and character of the calibration expression depend on technological, physical and other factors (F_i) affecting both Z and R. However, the numerical values of F_i can differ: when the calibration dependence is determined in laboratory and when it is utilized in practice. Moreover, the influencing factors F_i can sometimes have an opposite effect on the material property. To improve the reliability of non-destructive testing, the calibration dependencies should be completed with the special experimental-statistical models of the regression coefficients depending on technological and physical factors. Such experimental-statistical models can be determined by mathematical methods of experimental design and used for more accurate estimation of the material properties in real testing conditions. The suggested approach is illustrated by the example of assessment of concrete strength using ultrasonic pulse velocity method.
机译:结构材料的非破坏性质量控制基于通过破坏性和非破坏性测试确定的校准依赖性《间接非破坏性特性Z-材料特性R》。校准表达式的形式和特性取决于影响Z和R的技术,物理和其他因素(F_i)。但是,F_i的数值可能会有所不同:何时在实验室确定校准依赖性以及在实践中使用校准依赖性。此外,影响因素F_i有时可能对材料特性产生相反的影响。为了提高非破坏性测试的可靠性,应使用取决于技术和物理因素的回归系数的特殊实验统计模型来完成校准相关性。可以通过实验设计的数学方法确定此类实验统计模型,并将其用于在实际测试条件下更准确地评估材料性能。以超声脉冲速度法评估混凝土强度为例说明了所建议的方法。

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