Monitoring fracture of high-strength steel under tensile and constant loading using acoustic emission analysis

Toubal, Lotfi; Chaabouni, H.; Bocher, Philippe; Chen, Jianqiang

doi:10.1016/j.engfailanal.2019.104260

Cited by 16 publications

(5 citation statements)

References 34 publications

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“…In cyclically stressed bridges, in addition to strength and stability assessments, it is also necessary to evaluate the residual fatigue resistance, which is often related to In cyclically stressed bridges, in addition to strength and stability assessments, it is also necessary to evaluate the residual fatigue resistance, which is often related to In cyclically stressed bridges, in addition to strength and stability assessments, it is also necessary to evaluate the residual fatigue resistance, which is often related to corrosion damage in bridges made of standard steel or high-strength steel (HSS). Scientific works focused on fatigue resistance were published for structures with significant corrosion damage, including work focused on the fatigue resistance of HSS [38]. These studies are based on the results of experimental testing on samples.…”

Section: Bridgesmentioning

confidence: 99%

Development of Intelligent Technologies in SHM on the Innovative Diagnosis in Civil Engineering—A Comprehensive Review

et al. 2023

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This comprehensive review focuses on the integration of intelligent technologies, such as the Internet of Things (IoT), Artificial intelligence (AI), and Nondestructive Testing (NDT), in the Structural Health Monitoring (SHM) field of civil engineering. The article discusses intelligent technologies in SHM for residential, commercial, industrial, historical, and special buildings, such as nuclear power plants (NPPs). With the incorporation of intelligent technologies, there have been remarkable advancements in SHM, a crucial aspect of infrastructure safety, reliability, and durability. The combination of SHM and intelligent technologies provides a cost-effective and efficient building monitoring approach, significantly contributing to energy and resource conservation. This article explores using electronic instruments, such as sensors, microcontrollers, and embedded systems, to measure displacement, force, strain, and temperature, which are crucial for detecting structural damage. Implementing intelligent technologies in SHM reduces the reliance on manual and hazardous inspection practices, simplifying and reducing the cost of building monitoring. The article highlights the social, economic, and environmental benefits of adopting intelligent technologies in SHM by presenting key findings from existing research. This review aims to increase the reader’s understanding of the significance of these technologies in enhancing the efficiency of SHM in civil engineering by illuminating their advancements and applications.

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Section: Bridgesmentioning

confidence: 99%

Development of Intelligent Technologies in SHM on the Innovative Diagnosis in Civil Engineering—A Comprehensive Review

et al. 2023

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“…The adopted sampling frequency of the AE signals was 3 MHz. According to the major frequencies contained in the AE signals of steel materials (Chuluunbat et al, 2019; Toubal et al, 2020), two RS-2A AE sensors (Softland Times Scientific and Technology Co., Ltd., Beijing, China) with broadband response ranging from 50 to 400 kHz and a maximum sensitivity of 150 kHz were adopted to detect the AE signals. Two 2/4/6 preamplifiers with gains of 40 dB were used along with the two sensors.…”

Section: Experimental Overviewmentioning

confidence: 99%

Feasibility of studying 460 MPa high-strength steel affected by strain aging with acoustic emission method

Yang

Wang

2020

Advances in Structural Engineering

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Strain aging significantly influences the behavior of partially damaged structural steel. The effects of strain aging can be determined based on mechanical experiments, but the sampling process causes further damage to the structures. To explore the possibility of using nondestructive testing (NDT) technology to distinguish the strain aging effects on steel materials, this study investigates the characteristics of acoustic emission (AE) signals for high-strength steel (HSS) affected by strain aging. First, different strain aging effects were applied to 460 MPa HSS specimens. Second, pencil lead break (PLB) tests were performed on the specimens with strain aging, and the generated AE signals were recorded. Finally, tensile tests were conducted, that the strain aging effects on mechanical behavior were determined. The obtained AE signals were compared by extracting the AE parameters and analyzed in the frequency and time-frequency domains with a fast Fourier transform (FFT) and a wavelet transform (WT), respectively. The study shows that the strain aging effects change the characteristics of the AE signals. Compared to the prestrain, the aging time has a more pronounced impact on the AE behaviors. This research proposes a possible NDT method to determine the effects of strain aging on steel materials. Experimental data are provided to detect the degree of partial damage to 460 MPa HSS owing to strain aging using the AE method.

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“…The most significant examples of their use in practice are introduced in the book of International Association for Bridge and Structural Engineering (2005). Basic mechanical properties for selected kinds of HSS can be found for instance in Toubal et al (2020) or Wang et al (2020). HSS are more and more often utilized in load-bearing structures where are exposed to various types of loading and/or also to different environment including an aggressive one.…”

Section: Introductionmentioning

confidence: 99%

Multi-parameter MTS criterion used for estimation of the crack deflection angle near a corrosion pit

Malíková¹

2023

Engineering Mechanics

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Combined fatigue and corrosion damage is very typical for metal materials subjected to aggressive environment. Unfortunately, this topic is still not described sufficiently. Thus, a high strength steel specimen was subjected to a numerical analysis studying the mutual interaction of a fatigue crack and a corrosion pit within this work. Finite element method was utilized to model an inclined surface crack near a corrosion pit and then, the multi-parameter form of maximum tangential stress criterion was applied to estimate the crack deflection angle. Because the simulations were linear and parametric, it was easy to investigate effect of individual parameters on the results obtained. In the paper presented, the influence of the crack length, the number of the Williams expansion terms considered for tangential stress approximation and the critical distance, where the fracture criterion was applied, is discussed. The conclusions formulated based on the results of the study shall help to better understand how the fatigue crack behavior can be affected via presence of corrosion defects.

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Monitoring fracture of high-strength steel under tensile and constant loading using acoustic emission analysis

Cited by 16 publications

References 34 publications

Development of Intelligent Technologies in SHM on the Innovative Diagnosis in Civil Engineering—A Comprehensive Review

Development of Intelligent Technologies in SHM on the Innovative Diagnosis in Civil Engineering—A Comprehensive Review

Feasibility of studying 460 MPa high-strength steel affected by strain aging with acoustic emission method

Multi-parameter MTS criterion used for estimation of the crack deflection angle near a corrosion pit

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