A Detection Sensitivity Analysis Model for Structural Health Monitoring to Inspect Wall Thinning considering Random Sensor Location

IF 1 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
Haicheng Song, N. Yusa
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引用次数: 3

Abstract

ABSTRACT Structural health monitoring (SHM), which allows the detection of defects at an early stage by attaching sensors to the target, is an effective method of enhancing the reliability and the safety of important engineering structures. One of the practical difficulties of SHM is that usually a large area must be monitored using a limited number of sensors fixed at certain locations. And the sensor placement is a decisive contributor to the detection capability of SHM because measured signals generally depend on the location of a defect with respect to a sensor. In order to quantify the detection sensitivity more reasonably, this study proposes an analytical method based on a closed-form probability density function and a numerical method based on Monte Carlo simulation to quantify the detection sensitivity, taking into account the randomness of sensor location. The effectiveness of the proposed detection sensitivity analysis model has been examined using simulated inspection signals of low frequency electromagnetic monitoring for detecting full circumferential pipe wall thinning.
考虑随机传感器位置的结构健康监测壁减薄检测灵敏度分析模型
结构健康监测(SHM)是提高重要工程结构可靠性和安全性的一种有效方法,通过将传感器附着在目标上,可以在早期发现缺陷。SHM的实际困难之一是,通常必须使用固定在某些位置的有限数量的传感器来监测大片区域。传感器的位置是SHM检测能力的决定性因素,因为测量的信号通常取决于相对于传感器的缺陷位置。为了更合理地量化检测灵敏度,本研究提出了一种基于封闭式概率密度函数的解析方法和一种基于蒙特卡罗模拟的数值方法来量化检测灵敏度,同时考虑到传感器位置的随机性。利用低频电磁监测模拟检测信号,验证了所提出的检测灵敏度分析模型在全周管壁减薄检测中的有效性。
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来源期刊
Research in Nondestructive Evaluation
Research in Nondestructive Evaluation 工程技术-材料科学:表征与测试
CiteScore
2.30
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: Research in Nondestructive Evaluation® is the archival research journal of the American Society for Nondestructive Testing, Inc. RNDE® contains the results of original research in all areas of nondestructive evaluation (NDE). The journal covers experimental and theoretical investigations dealing with the scientific and engineering bases of NDE, its measurement and methodology, and a wide range of applications to materials and structures that relate to the entire life cycle, from manufacture to use and retirement. Illustrative topics include advances in the underlying science of acoustic, thermal, electrical, magnetic, optical and ionizing radiation techniques and their applications to NDE problems. These problems include the nondestructive characterization of a wide variety of material properties and their degradation in service, nonintrusive sensors for monitoring manufacturing and materials processes, new techniques and combinations of techniques for detecting and characterizing hidden discontinuities and distributed damage in materials, standardization concepts and quantitative approaches for advanced NDE techniques, and long-term continuous monitoring of structures and assemblies. Of particular interest is research which elucidates how to evaluate the effects of imperfect material condition, as quantified by nondestructive measurement, on the functional performance.
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