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An Acoustic Emission-Based Cluster Damage Model for Simulating Triaxial Compression Behaviors of Granite
https://orcid.org/0000-0002-5484-2655
Abstract The establishment of spatial correlation among scattering acoustic emission (AE) signals has great potential applied into a deep analysis of triaxial compression behaviors by the AE monitoring technology. Taking the randomly distributed AE signal could as the cube cluster by an introduction of covering strategy from the percolation theory, the quantitative evaluation of spatial correlation instead of spatial distribution is effectively made. It presents a cluster-based perspective to investigate the triaxial compression behaviors, especially including the dilatancy based on the volumetric strain correlated to the cube cluster evolution. Besides, considering a damage definition by the AE energy count, the cube cluster damage model is successfully established. Then, by implanting the cube cluster termed AE percolation cluster (APC) into the numerical software $ FLAC^{3D} $, the consistency between numerical and experimental results of four descriptors of strength, axial, hoop and volumetric strains excellently proves the reliability of the cluster damage model. In addition, the damaged cluster shows a potential application for quantitative analysis of the shear failure. Furthermore, a percolation analysis of the granite deformation under triaxial compression is made based on the cluster damage model. The effect of pressure-induced percolation transition (PIPT) is verified for the granite and the volume fraction shows a strong linear dependence on the covering length. Moreover, a series of discussion is made to analyze the influence of mechanical parameters on the sensibility of the cluster damage model. Finally, the influence of damage distribution of sub-clusters on the triaxial compression behaviors is quantitatively determined by the comparison between the linear and exponential distributions. The results verify the effectiveness and sensitivity of the cluster damage model in describing triaxial compression behaviors, which provides a new modeling method to extract more valuable information from the correlated AE signals.
An Acoustic Emission-Based Cluster Damage Model for Simulating Triaxial Compression Behaviors of Granite
https://orcid.org/0000-0002-5484-2655
Abstract The establishment of spatial correlation among scattering acoustic emission (AE) signals has great potential applied into a deep analysis of triaxial compression behaviors by the AE monitoring technology. Taking the randomly distributed AE signal could as the cube cluster by an introduction of covering strategy from the percolation theory, the quantitative evaluation of spatial correlation instead of spatial distribution is effectively made. It presents a cluster-based perspective to investigate the triaxial compression behaviors, especially including the dilatancy based on the volumetric strain correlated to the cube cluster evolution. Besides, considering a damage definition by the AE energy count, the cube cluster damage model is successfully established. Then, by implanting the cube cluster termed AE percolation cluster (APC) into the numerical software $ FLAC^{3D} $, the consistency between numerical and experimental results of four descriptors of strength, axial, hoop and volumetric strains excellently proves the reliability of the cluster damage model. In addition, the damaged cluster shows a potential application for quantitative analysis of the shear failure. Furthermore, a percolation analysis of the granite deformation under triaxial compression is made based on the cluster damage model. The effect of pressure-induced percolation transition (PIPT) is verified for the granite and the volume fraction shows a strong linear dependence on the covering length. Moreover, a series of discussion is made to analyze the influence of mechanical parameters on the sensibility of the cluster damage model. Finally, the influence of damage distribution of sub-clusters on the triaxial compression behaviors is quantitatively determined by the comparison between the linear and exponential distributions. The results verify the effectiveness and sensitivity of the cluster damage model in describing triaxial compression behaviors, which provides a new modeling method to extract more valuable information from the correlated AE signals.
An Acoustic Emission-Based Cluster Damage Model for Simulating Triaxial Compression Behaviors of Granite
https://orcid.org/0000-0002-5484-2655
Abstract The establishment of spatial correlation among scattering acoustic emission (AE) signals has great potential applied into a deep analysis of triaxial compression behaviors by the AE monitoring technology. Taking the randomly distributed AE signal could as the cube cluster by an introduction of covering strategy from the percolation theory, the quantitative evaluation of spatial correlation instead of spatial distribution is effectively made. It presents a cluster-based perspective to investigate the triaxial compression behaviors, especially including the dilatancy based on the volumetric strain correlated to the cube cluster evolution. Besides, considering a damage definition by the AE energy count, the cube cluster damage model is successfully established. Then, by implanting the cube cluster termed AE percolation cluster (APC) into the numerical software $ FLAC^{3D} $, the consistency between numerical and experimental results of four descriptors of strength, axial, hoop and volumetric strains excellently proves the reliability of the cluster damage model. In addition, the damaged cluster shows a potential application for quantitative analysis of the shear failure. Furthermore, a percolation analysis of the granite deformation under triaxial compression is made based on the cluster damage model. The effect of pressure-induced percolation transition (PIPT) is verified for the granite and the volume fraction shows a strong linear dependence on the covering length. Moreover, a series of discussion is made to analyze the influence of mechanical parameters on the sensibility of the cluster damage model. Finally, the influence of damage distribution of sub-clusters on the triaxial compression behaviors is quantitatively determined by the comparison between the linear and exponential distributions. The results verify the effectiveness and sensitivity of the cluster damage model in describing triaxial compression behaviors, which provides a new modeling method to extract more valuable information from the correlated AE signals.
An Acoustic Emission-Based Cluster Damage Model for Simulating Triaxial Compression Behaviors of Granite
Xue, D. J. (author) / Gao, L. (author) / Lu, L. (author) / Zhou, J. (author) / Zhou, H. W. (author) / Wu, Z. D. (author) / Yi, H. Y. (author) / Liu, J. F. (author)
2020
Article (Journal)
Electronic Resource
English
BKL:
38.58
Geomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
ELIB41
Acoustic emission of jointed and intact granite during triaxial compression test
| British Library Conference Proceedings | 1998
Damage growth and permeability change in triaxial compression tests of Inada granite
| British Library Online Contents | 2002