研究PFC3D中位参数预测模型和基于半体机械合的回填强度模拟
Yong Wang1,2, Chen Cao3,4, Defeng Wang5
1School of Resources and Safety Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Scientific reports
|December 9, 2025
概括
这项研究引入了一种用于预测水泥填充性能的新模型,将水化与机械性能联系起来. 该模型准确预测强度和变形,有助于高效的矿山设计.
科学领域:
- 地质技术工程 地质技术工程
- 计算力学 计算力学 计算力学
- 材料科学 是一种材料科学.
背景情况:
- 混凝土填充对矿山的稳定性至关重要.
- 准确预测其机械性能对于安全高效的采矿操作至关重要.
- 现有的模型往往缺乏对化学机械合的详细机制理解.
研究的目的:
- 开发和验证PFC3D.中水泥填充后的中参数预测模型.
- 为了建立水化程度和宏观机械性能之间的定量相关性.
- 为性能预测创建一个合的化学机械框架.
主要方法:
- 使用了PFC3D中的平行结合接触模型.
- 建立了介面尺度参数 (例如,刚度比,粘合参数) 和宏观性质 (例如,弹性模量,波松比,压力强度) 之间的关系.
- 开发了一个结合的化学机械框架,整合了水分,机械反应和中等尺度的参数.
主要成果:
- 在有效模量和宏观弹性模量之间发现了线性关系.
- 在刚度比率和Poisson比率之间发现了强烈的相关性.
- 压力强度显示取决于刚度和粘合参数.
- 模型与实验室测试的验证显示,强度的平均误差低于8.5%,变形的平均误差低于10%.
- 模拟的故障模式与实验观察结果相匹配.
结论:
- 开发的中参数模型准确地预测了在不同条件下水泥填充后的性能.
- 化学机械框架为参数的确定提供了机械基础.
- 该模型可靠地评估实际停止条件下的回填强度,支持预测建模.
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