Dynamic fracturing and deformation of geomaterials-a multiscale experimental and analytical approach

Understanding the dynamic fracturing and deformation behaviour of geomaterials, such as concrete and rock, is essential for underground infrastructure safety. This study integrates experimental techniques, including the Triaxial Hopkinson Bar (Tri-HB) system, digital image correlation (DIC), digital...

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Published inI-Manager's Journal on Civil Engineering Vol. 14; no. 4; p. 1
Main Author Haoyu, Wang
Format Journal Article
LanguageEnglish
Published Nagercoil iManager Publications 01.12.2024
Subjects
Acoustic emission
Acoustics
Cement
Civil engineering
Classification
Concrete
Crack initiation
Crack propagation
Deformation
Digital imaging
Earthquakes
Energy dissipation
Failure
Fracturing
Geomaterials
High strain rate
Infrastructure
Machine learning
Measurement techniques
Mechanics
Microcracks
Mining
Numerical models
Phase contrast
Propagation
Seismic engineering
Online AccessGet full text
ISSN2231-1068
2249-0779
DOI10.26634/jce.14.4.21720

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Abstract Understanding the dynamic fracturing and deformation behaviour of geomaterials, such as concrete and rock, is essential for underground infrastructure safety. This study integrates experimental techniques, including the Triaxial Hopkinson Bar (Tri-HB) system, digital image correlation (DIC), digital volume correlation (DVC), acoustic emission (AE), and high-speed X-ray phase contrast imaging (XPCI), to analyse the mechanical and fracturing properties of geomaterials under high strain rates. The findings reveal the interplay between stress confinement, strain rates, and microcrack evolution. A machine learning-based crack classification method is proposed to distinguish crack types and their evolution. This study provides a foundation for numerical modelling and further engineering applications.
AbstractList Understanding the dynamic fracturing and deformation behaviour of geomaterials, such as concrete and rock, is essential for underground infrastructure safety. This study integrates experimental techniques, including the Triaxial Hopkinson Bar (Tri-HB) system, digital image correlation (DIC), digital volume correlation (DVC), acoustic emission (AE), and high-speed X-ray phase contrast imaging (XPCI), to analyse the mechanical and fracturing properties of geomaterials under high strain rates. The findings reveal the interplay between stress confinement, strain rates, and microcrack evolution. A machine learning-based crack classification method is proposed to distinguish crack types and their evolution. This study provides a foundation for numerical modelling and further engineering applications.
Author Haoyu, Wang
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10.1061/(ASCE)EM.1943-7889.0001428
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10.1111/j.1365-3121.1993.tb00280.x
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SubjectTerms Acoustic emission
Acoustics
Cement
Civil engineering
Classification
Concrete
Crack initiation
Crack propagation
Deformation
Digital imaging
Earthquakes
Energy dissipation
Failure
Fracturing
Geomaterials
High strain rate
Infrastructure
Machine learning
Measurement techniques
Mechanics
Microcracks
Mining
Numerical models
Phase contrast
Propagation
Seismic engineering
Title Dynamic fracturing and deformation of geomaterials-a multiscale experimental and analytical approach
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Volume 14
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