On failure mode analysis in a bolted single lap joint under tension-shearing

Hoang, Trung-Kien; Herbelot, Christophe; Imad, A.

doi:10.1016/j.engfailanal.2012.03.006

Cited by 29 publications

(5 citation statements)

References 10 publications

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“…This failure mode indicates that the strength of the joint is mainly determined by the working section of the joined plates. The results of these tests are therefore in agreement with the conclusions drawn by Dang Hoang et al [10] and Chessa et al [8] concerning the influence of axial preload on the static behavior of the joint. The slight increase in elastic limit is mainly due to the difference in stiffness between the adhesion phase, i.e.…”

Section: 6-staticsupporting

confidence: 91%

Effect of Axial Preload on Double-Lap Bolted Joints: Numerical Study

Benhaddou

Stéphan

Daidié

et al. 2012

Volume 3: Advanced Composite Materials and Processing; Robotics; Information Management and PLM; Design Engineering

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This paper presents the numerical study of double-lap bolted joint behavior. This type of joint is mainly used in aeronautical structures to transfer the given loads (by both adhesion and by deformation-shearing). Recent articles, based on experimental fatigue tests conducted by AIRBUS, have shown the beneficial effects of preloading on the fatigue life of these joints. Finite element analyses were performed using ABAQUS® to study the behavior of a double-lap single-bolted joint with different plate thicknesses (joint thickness = 0.5d, 1d, 1.5d, 2d 2.5d, 3d, 3.5d and 4d, where d is the bolt diameter). The numerical model provides several important results. In the case of static loads, elasto-plastic constitutive laws of the bolt and the plate materials allowed the process to be simulated on the basis of tension tests. Mechanical aspects of this type of assembly are numerically identified; from the initial state of adhesion to the state of plastic deformation of parts in contact including the stage of generalized slippage. We note that the fracture load increases slightly when the bolted joint is preloaded while the failure area remains the same. In the case of large plate thickness, the connection is subjected to significant bending stresses and this involves strong local plasticization associated with the loss of preload. In the case of cyclic loading, we consider a numerical model based on the simulation of one loading/unloading cycle. A noticeable decrease in initial preload is observed for certain configurations, in particular those with the largest plate thickness. This phenomenon is related to the effect of strain hardening of the bolt during the first loading cycles. Some experimental work by AIRBUS has shown that the fatigue life of assemblies is dependent on the material plate thicknesses. An extension to the case of a multiple-bolted joint (three rows of three bolts) is finally discussed and highlights the evolution of the rate of load transmission with respect to the applied load.

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Section: 6-staticsupporting

confidence: 91%

Effect of Axial Preload on Double-Lap Bolted Joints: Numerical Study

Benhaddou

Stéphan

Daidié

et al. 2012

Volume 3: Advanced Composite Materials and Processing; Robotics; Information Management and PLM; Design Engineering

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“…The tension force and torque on the bolt were used to evaluate the connection condition of the bolts in simulations and experiments, respectively. The relation between the torque T and bolt tension F is considered as [33]:…”

Section: Classical Hertz Contact Theorymentioning

confidence: 99%

Bolt looseness detection using SH guided wave and wave energy transmission

Zhang¹,

Tang²,

Yun³

et al. 2021

Smart Mater. Struct.

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Lap joints are commonly used in civil infrastructure and mechanical assembly structures. Detecting the connection status of bolts, particularly in the early stages of use, is critical for ensuring structural integrity. A shear horizontal (SH) guided wave-based bolt looseness detection method, excited by a magnetostrictive patch transducer (MPT), is presented in this paper. A normalised bolt-looseness index I nor BL was proposed based on the wave energy transmission theory by analysing the signals received at the transducer for the transmitted wave passing through the actual contact area and the transducer for the direct incoming wave. Numerical and experimental studies were conducted on a lap joint with four bolts. The relationship between the I nor BL and bolt loads was obtained, verifying the effectiveness of this method for detecting the extent of the bolt looseness under various bolt tightness states. The results also show that SH0 waves, excited by an MPT, have better detection capability than Lamb waves, when the surface of the lap joint is subjected to liquid medium such as water and professional paint for bridges.

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“…Subsequently, the change in preload levels directly influences the mechanical behavior of the joints. 8 The failure mode in bolted joints depends on the stress concentration, the disposition of bolts, 9 and the influence of clearance between the hole and shank. 10 Figure 1 shows the extensively studied failure modes of bolted structures in literature from the last 6 years.…”

Section: Introductionmentioning

confidence: 99%

Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

Chelimilla

Chinthapenta

Kali

et al. 2023

Structural Health Monitoring

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The integrity of bolted joints is still a challenging problem owing to the gross or localized slip at the interfacial surfaces of the joints when subjected to external disturbances such as vibrations. This slip escalates the interfacial movement and, thus, leads to a decrease in preload levels, that is, looseness of the bolted assemblies. In the last decade, modal analysis, wave propagation, and percussion methods were traditionally used to detect looseness in bolted connections. With an increase in computational power, machine learning algorithms such as neural networks, random forests, decision trees, and support vector machines complemented the traditional methods in accurate looseness estimation. Subsequently, this integration paved the path for real-time health monitoring of bolted joints. This paper summarizes recent investigations on looseness detection in bolted assemblies based on traditional methods and machine learning algorithms. The working principle, advantages, challenges, and applications of the aforementioned methods are also detailed in this paper. Apart from these investigations, the latest studies on the Internet of Things-based health monitoring of structures are also reviewed to explore their adaptability in remote monitoring of bolted connections for damage detection in the future.

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On failure mode analysis in a bolted single lap joint under tension-shearing

Cited by 29 publications

References 10 publications

Effect of Axial Preload on Double-Lap Bolted Joints: Numerical Study

Effect of Axial Preload on Double-Lap Bolted Joints: Numerical Study

Bolt looseness detection using SH guided wave and wave energy transmission

Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

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