A combined weighted Voronoi tessellation and random field approach for modeling heterogeneous rocks with correlated grain structure

Lin, Yuexiang; Lai, Zhengshou; Ma, Jianjun; Huang, Linchong

doi:10.1016/j.conbuildmat.2024.135228

Construction and Building Materials

2024

DOI: 10.1016/j.conbuildmat.2024.135228

|View full text |Cite

A combined weighted Voronoi tessellation and random field approach for modeling heterogeneous rocks with correlated grain structure

Yuexiang Lin,

Zhengshou Lai,

Jianjun Ma

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 15 publications

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Adaptive Mesh Generation and Numerical Verification for Complex Rock Structures Based on Optimization and Iteration Algorithms

Xiao,

Li,

et al. 2024

Num Anal Meth Geomechanics

View full text Add to dashboard Cite

The modelling of rock structure is of great significance in characterizing rock characteristics and studying the failure laws of rock samples. In order to construct a high‐fidelity model of the rock structure efficiently, this paper proposes an adaptive mesh dissection algorithm based on the Voronoi structure. Image processing techniques, including greyscale, threshold segmentation and edge detection, are applied to simplify the original rock image into a feature edge image. Then, a probability density diagram of the feature image is generated, which provides a probabilistic basis for the subsequent spreading of mesh seed points. Moreover, the concept of polygonal representation rate and the mesh quality evaluation system of four‐dimensional metrics are established to suggest values for the seed point parameters of the initial mesh. The initial mesh is continuously optimized and iterated by barycentric iteration and gradient descent optimization methods to form mesh structural models with high representational performance efficiently. The model tests on particle, fracture and multi‐phase rock images show that the optimized mesh model is highly similar to the original image in terms of similarity and edge fit, and the algorithm significantly reduces the short‐edge rate and improves the shape regularity of the mesh structure. Finally, numerical tests of uniaxial compression are carried out based on the optimized mesh model. The results show that the model has computational potential in numerical calculations. This method builds a procedural structure from digital images to numerical models, which can provide a reliable model basis for simulating the physico‐mechanical behaviour of heterogeneous rocks.

show abstract

Adaptive Mesh Generation and Numerical Verification for Complex Rock Structures Based on Optimization and Iteration Algorithms

Xiao,

Li,

et al. 2024

Num Anal Meth Geomechanics

View full text Add to dashboard Cite

show abstract

A Cohesive Model-Based Nonlinear Discontinuous Deformation Analysis for Tensile Fracture in Geotechnical Materials

Gong,

Hu,

Ling

et al. 2024

Rock Mech Rock Eng

View full text Add to dashboard Cite

Estimating Tunnelling-Induced Ground Deformation in Sandy Cobble Stratum Considering Rock Content Variation

Li,

Zhang,

et al. 2024

Geotech Geol Eng

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A combined weighted Voronoi tessellation and random field approach for modeling heterogeneous rocks with correlated grain structure

Cited by 15 publications

References 66 publications

Adaptive Mesh Generation and Numerical Verification for Complex Rock Structures Based on Optimization and Iteration Algorithms

Adaptive Mesh Generation and Numerical Verification for Complex Rock Structures Based on Optimization and Iteration Algorithms

A Cohesive Model-Based Nonlinear Discontinuous Deformation Analysis for Tensile Fracture in Geotechnical Materials

Estimating Tunnelling-Induced Ground Deformation in Sandy Cobble Stratum Considering Rock Content Variation

Contact Info

Product

Resources

About