In a groundbreaking study that could reshape construction practices, researchers have developed a novel algorithm aimed at enhancing the accuracy of measuring internal deformation and quantifying damage in rocks, particularly red sandstone. Led by HAO Yutong from the School of Mechanics and Civil Engineering at the China University of Mining and Technology-Beijing, this research introduces a sophisticated approach using digital volume correlation (DVC) that integrates multimesh refinement technology with mechanically regularized global DVC algorithms.
The implications for the construction sector are profound. As construction projects increasingly demand materials that can withstand various stresses, understanding the internal structure of rocks like red sandstone is essential. HAO Yutong noted, “Our new algorithm significantly reduces measurement uncertainty, allowing for more precise assessments of rock integrity under stress conditions.” This precision is crucial for engineers who need reliable data to make informed decisions about material safety and longevity in construction projects.
During uniaxial compression experiments, the researchers utilized in-situ CT scanning to analyze the internal deformation and damage patterns of red sandstone. The results were promising; the introduction of a mechanical regularization term reduced measurement uncertainty by one to two orders of magnitude. This advancement allows for the identification of sub-voxel microcracks with an aperture of just 0.15 voxels, a feat that was previously unattainable.
Moreover, the study revealed that when axial stress reached 50.58% of the peak value, new cracks with a maximum aperture of 0.32 voxels emerged, evolving into voxel-scale fractures at 84.27% of the peak stress. Such detailed insights into damage evolution could lead to safer and more resilient construction materials, ultimately reducing the risk of structural failures.
The algorithm also boasts a remarkable reduction in computational costs by 85.15%, making it not only efficient but also economically viable for widespread use in the construction industry. As the demand for high-performance materials grows, tools that enhance our understanding of material behavior under stress will be invaluable.
This research, published in the Journal of Mining Science, offers a fresh perspective on damage quantification and internal deformation in rocks, marking a significant step forward for engineers and construction professionals alike. As HAO Yutong aptly puts it, “This technology not only improves computational efficiency but also provides a powerful method for quantifying internal deformation, which is essential for ensuring the safety and durability of construction materials.”
The potential for this research to influence future developments in material science and engineering is immense, setting the stage for innovations that could lead to safer, more sustainable construction practices worldwide. For more information about HAO Yutong’s work, you can visit lead_author_affiliation.