Scholarlink

<p>During enhanced geothermal system (EGS) development, granite masses undergo rapid thermal shocks, compromising their structural integrity. This study quantifies the deterioration mechanisms of granite under thermal shock through integrated NMR pore analysis, SEM fracture characterization, and triaxial compression tests. Key findings reveal: (1) Thermal damage primarily propagates through macropore enlargement (porosity increase &gt; 50% at 600&#xa0;°C) and microcrack coalescence; (2) Compressive strength and elastic modulus degrade exponentially with temperature (exhibiting 28% and 41% reductions at 400&#xa0;°C relative to ambient conditions); (3) A novel damage-constitutive model accurately predicts stress–strain behavior (R<sup>2</sup> = 0.94) by correlating microcrack evolution with mechanical degradation. The validated model enables stability risk assessment in deep geothermal reservoirs, providing critical input for EGS wellbore design criteria.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Mechanical deterioration and damage evolution model of granite under high temperature thermal shock

  • 期刊论文

  • 发表日期：

    2025年12月6日

查看全文
  • Yang Li,
  • Yanlin Zhao,
  • Jianchao Cheng,
  • Xiaguang Wang

摘要

During enhanced geothermal system (EGS) development, granite masses undergo rapid thermal shocks, compromising their structural integrity. This study quantifies the deterioration mechanisms of granite under thermal shock through integrated NMR pore analysis, SEM fracture characterization, and triaxial compression tests. Key findings reveal: (1) Thermal damage primarily propagates through macropore enlargement (porosity increase > 50% at 600 °C) and microcrack coalescence; (2) Compressive strength and elastic modulus degrade exponentially with temperature (exhibiting 28% and 41% reductions at 400 °C relative to ambient conditions); (3) A novel damage-constitutive model accurately predicts stress–strain behavior (R2 = 0.94) by correlating microcrack evolution with mechanical degradation. The validated model enables stability risk assessment in deep geothermal reservoirs, providing critical input for EGS wellbore design criteria.