3D reconstruction of geomaterial microstructure based on differentiable descriptors

The microstructure of geomaterials plays a crucial role in determining their physical and mechanical properties. The complex mechanical behavior of certain coarse-grained geomaterials significantly affects their resistance to deformation, making an accurate characterization of their internal structure essential. However, obtaining core samples of such materials is often costly and labor-intensive, whereas acquiring two-dimensional (2D) structural information is more feasible. This study presents a microstructure reconstruction technique based on a differentiable optimization framework, wherein the reconstruction process minimizes the error of a given descriptor while considering its derivative. The proposed method enables reconstruction using either a single 2D slice or three orthogonal 2D slices. Furthermore, the effectiveness of the 2D-to-3D reconstruction is validated through actual computed tomography (CT) scans of coarse-grained geomaterial samples collected from the Xinjiang region.

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Publication Details

Journal
Frontiers in Physics
Published
2025-10-15
DOI
https://doi.org/10.3389/fphy.2025.1684783
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
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3D reconstruction of geomaterial microstructure based on differentiable descriptors

Qingxiang Meng, Qingfu Huang, Yutao Zhang, Zijie He et al.
Frontiers in Physics
Image Processing and 3D Reconstruction
article

3D reconstruction of geomaterial microstructure based on differentiable descriptors

Qingxiang Meng, Qingfu Huang, Yutao Zhang, Zijie He, Yue Zhou, Ning Yu
article en

Abstract

The microstructure of geomaterials plays a crucial role in determining their physical and mechanical properties. The complex mechanical behavior of certain coarse-grained geomaterials significantly affects their resistance to deformation, making an accurate characterization of their internal structure essential. However, obtaining core samples of such materials is often costly and labor-intensive, whereas acquiring two-dimensional (2D) structural information is more feasible. This study presents a microstructure reconstruction technique based on a differentiable optimization framework, wherein the reconstruction process minimizes the error of a given descriptor while considering its derivative. The proposed method enables reconstruction using either a single 2D slice or three orthogonal 2D slices. Furthermore, the effectiveness of the 2D-to-3D reconstruction is validated through actual computed tomography (CT) scans of coarse-grained geomaterial samples collected from the Xinjiang region.

Frontiers in PhysicsVol. 13
Hohai University (CN), PowerChina (China) (CN), University of California, Berkeley (US)
Openalex Percentile: Top 71%
Image Processing and 3D Reconstruction
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