Quantitative evaluation of residual torque of a loose bolt based on wave energy dissipation and vibro-acoustic modulation: A comparative study

Zhang, Zhen; Liu, Menglong; Su, Zhongqing; Xiao, Yi

doi:10.1016/j.jsv.2016.07.001

Cited by 86 publications

(84 citation statements)

References 33 publications

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“…To validate that the proposed method can detect bolt loosening quantitatively, we consider totally 12 different bolt torque values, which correspond to the torque value: 24,22,20,18,16,14,12,10,8,6,4, and 2 Nm. The aim is to validate whether the proposed method can identify the levels of bolt torque with a good resolution.…”

Section: Experimental Studymentioning

confidence: 99%

Bolt loosening detection in a jointed beam using empirical mode decomposition–based nonlinear system identification method

Huang

Zhu

2019

International Journal of Distributed Sensor Networks

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In this work, a state-of-art nonlinear system identification method based on empirical mode decomposition is utilized and extended to detect bolt loosening in a jointed beam. This nonlinear system identification method is based on identifying the multi-scale dynamics of the underlying system. Only structural dynamic response signals are needed to construct a reduced-order model to represent the system concerned. It makes the method easy to use in practice. A new bolt loosening identification procedure based on the constructed system nonlinear reduced-order model is proposed. A new damage feature to indicate bolt loosening is presented. Experimental works are carried out to validate the proposed method. The results show that the proposed damage detection method can detect bolt loosening effectively, and the proposed damage feature values increase with the increase of bolt torques. The damage feature calculated from the response solution of the reduced-order model can give robust and sensitive indication of bolt loosening.

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Section: Experimental Studymentioning

confidence: 99%

Bolt loosening detection in a jointed beam using empirical mode decomposition–based nonlinear system identification method

Huang

Zhu

2019

International Journal of Distributed Sensor Networks

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“…When bolts are loosening, there would be additional frequency components around the wave frequency in the spectrum, termed as left and right sidebands. The magnitudes of the sidebands, which are determined by the intensity of CAN, can be linked quantitatively to the bolt preload [18].…”

Section: Theoretical Basis and Numerical Modeling 21 Theoretical Bamentioning

confidence: 99%

“…In order to quantitatively describe the relation between sidebands of signal spectral features and the residual bolt preload, Zhang et al [18] established a theoretical modeling of CAN in a joint, as shown in Figure 2a. The analysis based on the model demonstrates that the magnitude of the sideband is proportional linearly to the nonlinear contact stiffness K 2 which is dependent on the contact pressure at the jointed interface.…”

Section: Theoretical Basis and Numerical Modeling 21 Theoretical Bamentioning

confidence: 99%

Structural Health Monitoring of Bolted Joints Using Guided Waves: A Review

Du¹,

Xu²,

Ren³

et al. 2018

Structural Health Monitoring From Sensing to Processing

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Bolted joints are widely applied in engineering structures. Significant advantages of bolted joints are that they can be easily disassembled and the possibility to design for bearing large working load. However, in practical applications, preload loss in pre-tensioned bolts is inevitable. Reliable detection of bolt loosening is significant to ensure structural reliability and safety. In the past decades, the guided wave-based structural health monitoring (SHM) methods have been developed for the detection of bolt loosening, and considerable advancements have been made in this area. This chapter presents a review of the existing studies on bolt preload monitoring method based on guided wave. The basic principle and characteristics of the typical methods are discussed, which involve wave energy dissipation, time reversal guided wave, contact acoustic nonlinearity, and active chaotic ultrasonic excitation-based methods. In addition, this chapter presents an experimental comparison of the detection sensitivity of wave energy dissipation and time reversal method. The results show that the TR method is more sensitive to bolt loosening.

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“…In their work, the acoustoelastic behavior due to the joint was used as an indicator of structural integrity. Furthermore, the feature of contact acoustic nonlinearity in bolted joints was utilized for preload monitoring [15][16][17][18][19][20]. Amerini and Meo [15] studied both linear and nonlinear ultrasonic methods and proposed several tightening state indices, including the first-order acoustic moment, high-harmonic generation, and sideband modulation indices.…”

Section: Introductionmentioning

confidence: 99%

“…After that, Zhang et al [18] proposed to use subharmonic resonance to detect bolt looseness, and Zhou et al [19] utilized nonlinearmodulation method to detect bolt looseness in frame structure. Zhang et al [20] carried out a comparative study of the WED-based method and the vibroacoustic modulationbased method and found that the sensitivity of WED-based methods is closely related to the wave energy transmitted across joints.…”

Section: Introductionmentioning

confidence: 99%

A Modified Time Reversal Method for Guided Wave Detection of Bolt Loosening in Simulated Thermal Protection System Panels

et al. 2018

Complexity

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In this work, a modified time reversal method is proposed for guided wave detection and localizing loosened bolt in a complicated multibolt-jointed structure. Different from the traditional time reversal guided wave method, the response signal due to a tone burst input received at the healthy state is time reversed and recorded as a standard reemitting signal. In the detection process, this recorded standard signal is used for all damage cases to yield time reversal-focalized reconstruction signals. This largely improves the sensitivity of the focalized signal to damage state. In this paper, the peak amplitude of the focalized wave packet in the reconstructed signal is calculated and utilized as tightness index. By bonding PZT transducers at different joint locations inside the structure, multiple tightness indices, where each tightness index presents the correlation between the current joint condition to its healthy condition at the joint, can be obtained. To analyze a large number of tightness indices, a principle component analysis method is introduced, and a neural network-based loosening detection method is proposed. The proposed method is experimentally validated in a simulated double-layer bolt-jointed thermal protection system panel. Experimental results illustrate that the proposed method is effective to identify and localized the bolt loosening in complicated multibolt-jointed structure. The detection and identification of the location of multibolt loosening is realized.

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Quantitative evaluation of residual torque of a loose bolt based on wave energy dissipation and vibro-acoustic modulation: A comparative study

Cited by 86 publications

References 33 publications

Bolt loosening detection in a jointed beam using empirical mode decomposition–based nonlinear system identification method

Bolt loosening detection in a jointed beam using empirical mode decomposition–based nonlinear system identification method

Structural Health Monitoring of Bolted Joints Using Guided Waves: A Review

A Modified Time Reversal Method for Guided Wave Detection of Bolt Loosening in Simulated Thermal Protection System Panels

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