Clamping force loss of high-strength bolts as a result of bolt head corrosion damage: Experimental research A

Ahn, Jin-Hee; Lee, Jae Min; Cheung, Jin‐Hwan; Kim, In‐Tae

doi:10.1016/j.engfailanal.2015.08.037

Cited by 39 publications

(6 citation statements)

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“…The results revealed that the load-bearing capacity of this kind of connection was improved significantly. Kim et al (2016) and Ahn et al (2016) carried out a series of test to investigate the mechanical behavior of the friction connection using a high-strength bolt. The study showed that the friction resistance was reduced and the reduction ratio depended on the sectional damage level of the bolt head.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical study on mechanical behavior of high-strength lockbolted friction grip connections

Lei

Zheng

Zhu

et al. 2022

Advances in Structural Engineering

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Despite the wide application of high-strength bolts joint in steel bridges, there are still some issues with this jointing technology such as large variation in the bolt preload, looseness of the joint as well as the fatigue problem. In this study, the high-strength lockbolted friction grip (HSLFG) connections were proposed as an alternative and the experimental results indicated that HSLFG connections have comparable mechanical behavior and strength to that of high-strength bolted friction grip (HSBFG) connections. First, the experiments were carried out on four HSLFG connections and four conventional HSBFG connections, in which the mechanical properties of both connections such as the failure modes, load-bearing behavior, and load-strain relationships were obtained and compared. The experimentally results indicate that the preload of the high-strength lockbolts satisfy the requirements of Eurocode3 and JTG D64-2015. Refined finite element (FE) models were established and were verified against the experimental results which proved the FE models could effectively predict the elastic-plastic behavior and positions of rupture of the HSLFG connections. Furthermore, the parametric analysis of FE model was conducted to investigate the effect of element types, friction coefficients on the mechanical property of the HSLFG connections. This research provided a promising strategy for the development requirements of HSLFG connections in steel bridges.

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Section: Introductionmentioning

confidence: 99%

Experimental and numerical study on mechanical behavior of high-strength lockbolted friction grip connections

Lei

Zheng

Zhu

et al. 2022

Advances in Structural Engineering

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“…Compared to several non-contact methods that have been used to detect bolt corrosion (such as the vision-based method [29,30], thermographic inspection [31], optical interferometry [32], and x-ray tomography [33]), the ultrasonic-based method [34,35] and acoustic emission (AE) method [36] are more suitable for quantitative and realtime detection. Existing investigations [37,38] have demonstrated that bolt head corrosion significantly affects behaviors of connections, while relevant research [39] on bolt head corrosion detection via acousto-ultrasonic methods is very limited so far.…”

Section: Introductionmentioning

confidence: 99%

Identification of multi-bolt head corrosion using linear and nonlinear shapelet-based acousto-ultrasonic methods

Wang

2021

Smart Mater. Struct.

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Among different types of fasteners used in multiple industries, the bolted connection attracts the most attention due to its low costs and ease of operation. However, bolt failures may induce severe catastrophes if not timely detected. One of the most common bolt failures is bolt corrosion (especially at the bolt head), and bolt head corrosion can significantly affect the mechanical performance of the bolted connection and even the entire structure. So far, no relevant investigations have been conducted to detect multi-bolt head corrosion, and thus the author applies the linear and nonlinear acousto-ultrasonic methods to attempt to solve this problem for the first time. Notably, this paper’s main contribution is that two new shapelet-based acousto-ultrasonic methods, i.e. shapelet-based active sensing and shapelet-based vibro-acoustic modulation (VAM), are developed by utilizing the concept of time-series shapelets. Compared to existing approaches such as entropy-enhanced acousto-ultrasonic methods, the proposed shapelet-based active sensing and shapelet-based VAM can achieve better detection performance. Finally, by conducting a multi-bolt head corrosion test, the effectiveness of the proposed methods is verified. Overall, the proposed methods can provide a new direction for researching bolt corrosion identification, and they can also contribute to the development of structural health monitoring, e.g. the detection of other structural damages in future work.

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“…It is not only the detection of fastener loosening that is important-some other phenomena may also be dangerous for bolted connections; these include stress concentration points, cracks (propagating from the edge of the holes), and corrosion. The work [19] analyzed the change of stress (measured by strain gauges) in bolts, depending on the change in the bolt head surface (the head was cut off to simulate a corrosion defect). Stress concentration issues, especially around welds of connections subjected to cyclic loading (e.g., seismic), were analyzed in [20].…”

Section: Introductionmentioning

confidence: 99%

Detection of Anomaly in a Pretensioned Bolted Beam-To-Column Connection Node Using Digital Image Correlation and Neural Networks

2020

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Bolted connections, commonly applied in civil engineering structures, have many advantages. According to current trends, bolted connections in steel structures are designed as prestressed ones. Unfortunately, precise control of the prestressing forces is difficult, while the loosening (due to, e.g., dynamic interactions) may be dangerous for the entire structure. There are many control methods applied in the determination of the tightening level, among which are vision-based methods. The methods described so far enable—thanks to image processing—damage detection in connections with visible connectors. The level of the considered loosening was significant—in many cases, changes in connectors were visible with the naked eye, whereas the procedure presented here enables the detection of very small changes, impossible to detect without manual inspection of every single connector. It is not necessary to observe the connectors directly, but the near surrounding of the node should be visible. As a measurement technique, Digital Image Correlation (DIC) was used. The applied measurement method and the high sensitivity of the presented procedure makes the presented research original. The currently presented procedure, employing Artificial Neural Networks, based on the laboratory examination of an example of one selected beam-to-column connection of a two-story steel portal frame, was perfect in the detection of a change and in the determination of the number of loosened rows, 95%, and their location, 94%, with the number of false alarms below 1%.

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Clamping force loss of high-strength bolts as a result of bolt head corrosion damage: Experimental research A

Cited by 39 publications

References 0 publications

Experimental and numerical study on mechanical behavior of high-strength lockbolted friction grip connections

Experimental and numerical study on mechanical behavior of high-strength lockbolted friction grip connections

Identification of multi-bolt head corrosion using linear and nonlinear shapelet-based acousto-ultrasonic methods

Detection of Anomaly in a Pretensioned Bolted Beam-To-Column Connection Node Using Digital Image Correlation and Neural Networks

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