journal article·2025-10

Diffusion Model‐Based Controlled Reconstruction Method for 3D Fractured Rock Masses

Zikun Ma, Binwei Xia, Yanmin Zhou, Fengyuan Zhang, Xingguo Zhang

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Abstract

ABSTRACT Accurate, cost‐effective, and controllable reconstruction of three‐dimensional (3D) digital samples of fractured rock masses is crucial for understanding the macro‐mechanical effects of fractures. Traditional reconstruction methods are not only expensive but also limited by sample representativeness, often failing to capture the true complexity of fractures. In light of these limitations, this paper introduces an innovative method based on diffusion models, termed Text2Rock, for the reconstruction of 3D fractured rock mass digital samples with enhanced controllability. By incorporating a CLIP model and an improved U‐Net3D network architecture, our approach enables control over key fracture characterization parameters such as fractal dimension, fracture intensity, and Feret's maximum diameter, thereby enhancing both the accuracy and controllability of the reconstructed samples. Reconstructed samples demonstrate that the proposed method can generate digital rock samples that closely adhere to the specified parameters, with reliability validated through two‐point correlation coefficients and statistical analyses. Furthermore, the paper illustrates the application of these reconstructed samples in uniaxial compression numerical simulations, providing a new framework for investigating the macro‐mechanical properties of fractured rock masses.
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Research context

OpenAlex topics: Seismic Imaging and Inversion Techniques · Groundwater flow and contamination studies · Hydraulic Fracturing and Reservoir Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing University Chongqing China

National & Local Joint Engineering Laboratory of Gas Drainage in Complex Coal Seam Chongqing University Chongqing China

Funding

Fundamental Research Funds for the Central Universities

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