Monitoring of crack length growth on welded specimens by applying square wave inductive thermography

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2024-10-16 DOI:10.1016/j.ijfatigue.2024.108642

Paul Dario Toasa Caiza , Daiki Shiozawa , Yuya Murao , Thomas Ummenhofer , Takahide Sakagami

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引用次数: 0

Abstract

The crack growth monitoring is an important task for the maintenance policies of steel structures subjected to cyclic loading, such as bridges, cranes, off shore facilities and wind energy towers. A reliable crack detection method allows to survey properly the crack initiation and growth in responsive details of these structures, so that, they can be repaired or restored in time in order to avoid services interruption, accidents or structural collapses. In this paper, a crack detection system, which is based on inductive thermography is applied to survey the crack growth on a SM490 steel welded specimen subjected to cyclic loading. The required thermal excitation of this system is based on the generation of eddy currents, which cause a temperature increase on the crack tips. This temperature rise can be observed and recorded by using an infrared camera. Afterwards, the crack tip and growth are established by analysing the infrared (IR) images. The mentioned system allows to detect cracks on steel structures in real time and in situ, characteristics that represent the efficiency and the potential of this method in the field of NDT.

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通过方波感应热成像技术监测焊接试样上裂纹长度的增长

对于承受周期性荷载的钢结构（如桥梁、起重机、近海设施和风能塔）而言，裂纹生长监测是维护政策的一项重要任务。采用可靠的裂纹检测方法，可以对这些结构的裂纹起始和生长情况进行详细的调查，以便及时维修或修复，避免服务中断、事故或结构坍塌。本文采用基于感应热成像技术的裂纹检测系统，对承受循环载荷的 SM490 钢焊接试样的裂纹生长情况进行检测。该系统所需的热激励基于涡流的产生，涡流会导致裂纹尖端温度升高。可以使用红外摄像机观察和记录这种温度上升。然后，通过分析红外线（IR）图像确定裂纹尖端和生长情况。上述系统可以实时、就地检测钢结构上的裂纹，这些特点体现了这种方法在无损检测领域的效率和潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Fatigue 工程技术-材料科学：综合

CiteScore

10.70

自引率

21.70%

发文量

619

审稿时长

58 days

期刊介绍： Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.