JOURNAL ARTICLE
Experimental study on energy and damage evolution of dry and water-saturated dolomite from a deep mine.
Published In: International Journal of Damage Mechanics, 2025, v. 34, n. 2. P. 303 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Luo, Pingkuang; Li, Diyuan; Ma, Jinyin; Zhao, Junjie; Jabbar, Abdul 3 of 3
Abstract
This article investigates the influence of water on the energy evolution and damage characteristics of dolomite rock samples from a deep mine in Yunnan Province, China, through uniaxial compression tests on dry and water-saturated specimens at burial depths of 900 to 1200 meters. The study finds that water saturation significantly reduces the uniaxial compressive strength and elastic modulus of dolomite while increasing Poisson’s ratio, indicating weakened mechanical properties. The deformation and damage process is divided into four stages—initial microcrack consolidation, stable damage, pre-peak accelerated damage, and post-peak damage—with water saturation extending the initial damage stage and increasing damage rates, thereby reducing the rock’s brittleness and energy storage capacity. A new brittleness index based on the variation rate of damage factor is proposed, showing that dry samples exhibit more pronounced brittleness and energy hardening. The findings suggest that while groundwater can reduce the risk of dynamic rock hazards such as rock bursts by lowering elastic energy accumulation, it simultaneously increases the potential for destabilization and failure in deep underground rock engineering.
Additional Information
- Source:International Journal of Damage Mechanics. 2025/02, Vol. 34, Issue 2, p303
- Document Type:Article
- Subject Area:Economics
- Publication Date:2025
- ISSN:1056-7895
- DOI:10.1177/10567895241277948
- Accession Number:182578955
- Copyright Statement:Copyright of International Journal of Damage Mechanics is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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