A nondestructive method for the pretension detection in membrane structures based on nonlinear vibration response to impact

Liu, Changjiang; Todd, Michael D.; Zheng, Zhao; Wu, Yuyou

doi:10.1177/1475921716686171

Cited by 17 publications

(16 citation statements)

References 27 publications

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“…When a dynamic excitation is applied on the structure, the structural health state can be identified by the impact-induced signals, including sound. Among various test methods, the tapping method that uses hammers has attracted more attention due to the ease of operation in inspecting the integrity of various structures, including the railway, 51,52 the aircraft, 53 the membrane structures, 54 and the tunnel lining. 55 However, in most existing researches, researchers pay more attention to the impact response of the structure rather than the impact-induced sounds.…”

Section: Introductionmentioning

confidence: 99%

Detection of sand deposition in pipeline using percussion, voice recognition, and support vector machine

Cheng

Wang

Huo

et al. 2020

Structural Health Monitoring

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Deposits prevention and removal in pipeline has great importance to ensure pipeline operation. Selecting a suitable removal time based on the composition and mass of the deposits not only reduces cost but also improves efficiency. In this article, we develop a new non-destructive approach using the percussion method and voice recognition with support vector machine to detect the sandy deposits in the steel pipeline. Particularly, as the mass of sandy deposits in the pipeline changes, the impact-induced sound signals will be different. A commonly used voice recognition feature, Mel-Frequency Cepstrum Coefficients, which represent the result of a cosine transform of the real logarithm of the short-term energy spectrum on a Mel-frequency scale, is adopted in this research and Mel-Frequency Cepstrum Coefficients are extracted from the obtained sound signals. A support vector machine model was employed to identify the sandy deposits with different mass values by classifying energy summation and Mel-Frequency Cepstrum Coefficients. In addition, the classification accuracies of energy summation and Mel-Frequency Cepstrum Coefficients are compared. The experimental results demonstrated that Mel-Frequency Cepstrum Coefficients perform better in pipeline deposits detection and have great potential in acoustic recognition for structural health monitoring. In addition, the proposed Mel-Frequency Cepstrum Coefficients–based pipeline deposits monitoring model can estimate the deposits in the pipeline with high accuracy. Moreover, compared with current non-destructive deposits detection approaches, the percussion method is easy to implement. With the rapid development of artificial intelligence and acoustic recognition, the proposed method can realize higher accuracy and higher speed in the detection of pipeline deposits, and has great application potential in the future. In addition, the proposed percussion method can enable robotic-based inspection for large-scale implementation.

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Section: Introductionmentioning

confidence: 99%

Detection of sand deposition in pipeline using percussion, voice recognition, and support vector machine

Cheng

Wang

Huo

et al. 2020

Structural Health Monitoring

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“…Based on the von Kármán s theory, Liu et al (2010, 2011) solved the governing equations of large amplitude nonlinear free vibration of isotropic and orthotropic planar rectangular membrane structure with four edges simply supported by direct integration method and L-P perturbation method, respectively. Liu et al (2018a) investigated the nonlinear damped vibration of pretensioned planar rectangular orthotropic membrane structure under impact load through analytical, experimental, and numerical methods. Li et al (2017, 2018) studied stochastic vibration of planar rectangular orthotropic membrane structure under impact load theoretically and experimentally.…”

Section: Introductionmentioning

confidence: 99%

Hailstone-induced dynamic responses of pretensioned umbrella membrane structure

Liu

Wang

Deng

et al. 2020

Advances in Structural Engineering

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The membrane structure is a flexible structure, which is easy to vibrate or even relax under dynamic load. Engineering accident analysis shows that the relaxation of membrane structure is more likely to lead to structural failure. In this article, the impact load problem is combined with the flexible structure to analyze the impact of hailstone impact load on the dynamic response of membrane structure. First, the umbrella membrane stretching device was designed and manufactured, and the hailstone impact test was carried out on the umbrella membrane structure with polyvinyl chloride membrane material. Dynamic response data, tension relaxation of side cables and vibration deformation of umbrella membrane structures impacted by hailstones with different sizes and different characteristic points were obtained. In the numerical analysis, the form-finding analysis of umbrella membrane structure is carried out by finite element method, and the transient impact analysis is conducted in LS-DYNA. Finally, the reliability of the research results is verified by comparing the numerical and experimental results. The general laws and conclusions are drawn and the disaster-causing mechanism of membrane structure impacted by hailstone is revealed. On the whole, although the probability of hailstone destroying the membrane material directly is very small, it will relax the membrane structure and affect the safety of membrane structure. The conclusions of this article provide a theoretical basis for the design and maintenance of membrane structures.

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“…To develop a vibration model, He et al 4 considered a flexible robotic manipulator as a concise spring-mass system. Liu et al 5,6 studied the nonlinear dynamic response of orthotropic membranes under an impact load by analytical and numerical approaches. Li et al 7 studied the dynamic response of a pre-stressed orthotropic circular membrane under an impact load based on the principle of virtual displacement and solved by the Krylov-Bogoliubov-Mitropolsky perturbation method.…”

Section: Introductionmentioning

confidence: 99%

Multiple-model switching control for vibration suppression of planar membrane structures

Liu

Huang

Liu

2019

Advances in Mechanical Engineering

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Membrane space structures have received widespread attention because of their small packaging volume and low mass. However, because membranes are very flexible and lightly damped, vibration suppression in membrane structures is very difficult. The objective of this study was to solve this problem. The first part of this article describes the influence of wrinkling in a membrane structure on the structure’s vibration characteristics. On this basis, the vibration deformations of a wrinkled square membrane structure were derived from the dynamic equations, and the correctness of this vibration model was verified by numerical simulation and experiment. A multi-model system is proposed to simulate the dynamic response of a membrane structure under different boundary conditions. In combination with the drive system, a multi-model switching control method based on adaptive and proportional–integral–derivative control is proposed. Under the initial disturbance, when the vibration amplitude dropped below 0.01 mm, the vibration duration was reduced to 2.96 s, compared with the duration of 12.37 s without control. The duration was shortened by approximately 39.7%, compared with the duration of 4.91 s achieved by the traditional proportional–integral–derivative control method, and by approximately 15.9% compared with the 3.52 s achieved by the out-plane control method. When there were multiple disturbances and the proposed method was used, the boundary displacement loadings did not increase when a certain value was exceeded. This prevented the breaking of the membrane by overstretching and provides a theoretical foundation for setting the initial pre-stress values.

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A nondestructive method for the pretension detection in membrane structures based on nonlinear vibration response to impact

Cited by 17 publications

References 27 publications

Detection of sand deposition in pipeline using percussion, voice recognition, and support vector machine

Detection of sand deposition in pipeline using percussion, voice recognition, and support vector machine

Hailstone-induced dynamic responses of pretensioned umbrella membrane structure

Multiple-model switching control for vibration suppression of planar membrane structures

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