Shear deformation detection in smart rubber bearing (SRB) using active sensing method

Zeng, Yi; Pan, Peng; Cao, Yingri; He, Ze

doi:10.1016/j.engstruct.2021.112573

Cited by 11 publications

(5 citation statements)

References 14 publications

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“…Thus, the analysis of the measured signals can reveal the state of SRB. Details of the SRB specimen can be found to previous studies 20–22 . In this study, piezoelectric transducers are used as the wave generator and vibration sensor.…”

Section: Coupling Effects Of Axial Pressure and Shear Deformation Det...mentioning

confidence: 99%

“…Details of the SRB specimen can be found to previous studies. [20][21][22] In this study, piezoelectric transducers are used as the wave generator and vibration sensor. The diameter and height of the transducers were 30 and 38 mm, respectively.…”

Section: Experiments Setupmentioning

confidence: 99%

“…However, quantitative identification is required for the axial pressure and shear deformation monitoring. A smart rubber bearing (SRB) was proposed by the authors to monitor the axial pressure and shear deformation separately using active sensing method and wavelet‐packet transform 20–22 . The change in axial pressure and shear deformation cause change in detection signals of wavelet‐packet energy spectrums.…”

Section: Introductionmentioning

confidence: 99%

“…A smart rubber bearing (SRB) was proposed by the authors to monitor the axial pressure and shear deformation separately using active sensing method and wavelet-packet transform. [20][21][22] The change in axial pressure and shear deformation cause change in detection signals of wavelet-packet energy spectrums. Therefore, by analyzing the change of wavelet-packet energy spectrums, axial pressure and shear deformation can be accurately obtained.…”

Section: Introductionmentioning

confidence: 99%

“…In previous studies, a wavelet-packet-based axial pressure index and shear deformation index was used to evaluate the axial pressure and shear deformation of SRB. 20,21 In this study, these indexes are also used, but certain normalized adjustments are made to more intuitively reflect the true state of SRB. The calculation process of these indexes is illustrated as follows.…”

Section: Introduction Of Axial Pressure Index and Shear Deformation I...mentioning

confidence: 99%

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A deep learning method to monitor axial pressure and shear deformation of rubber bearings under coupled compression and shear loading

Zeng

Pan

2023

Earthq Engng Struct Dyn

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Laminated rubber bearings are the key components of base isolated structures. It is important to effectively monitor the axial pressure and shear deformation in rubber bearings. In previous studies, the axial pressure and shear deformation of rubber bearings have been monitored separately using wavelet‐packet‐based method. However, when the axial pressure and deformation of rubber bearings change at the same time, the prediction error of the above method is large. Therefore, this paper proposed a new deep neural network architecture, named P&D‐NET to monitor the axial pressure and shear deformation simultaneously. The P&D‐NET combines wavelet packet decomposition method and fully connected neural network. In this study, the coupling effects of axial pressure and shear deformation monitoring are studied by full‐scale experiments. The details of P&D‐NET are also introduced. Three full‐scale smart rubber bearings (SRB) were tested under different axial pressure and shear deformation to form a real measured dataset. The influence of feature extraction methods, network structures, and weighting coefficient in loss function was investigated to optimize the network. By using the optimal hyperparameters, the root‐mean‐square error (RMSE) of axial pressure prediction and shear deformation prediction in the test set is 1.41 MPa and 17.6%, which has reduced the error by up to 68.8% compared to the previous wavelet‐packet‐based method.

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Section: Coupling Effects Of Axial Pressure and Shear Deformation Det...mentioning

confidence: 99%

Section: Experiments Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introduction Of Axial Pressure Index and Shear Deformation I...mentioning

confidence: 99%

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