微波辐射破岩室内试验测试及数值模拟数据集
收藏国家基础学科公共科学数据中心2025-11-22 收录
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资源简介:
该数据集主要面向干热岩储层改造与微波破岩机理研究等方向,数据来源于清华大学土木系地下工程研究所开展的微波辐射破岩室内试验与多场耦合数值模拟工作。研究背景是揭示微波辐射作用下花岗岩等干热岩介质的能量沉积、温度响应和损伤演化规律,为高效造储与热能开发提供基础支撑。实验在恒定频率与功率条件下进行,利用同轴微波加热装置采集样品在辐射过程中的温度、孔隙率和破坏形态,并通过COMSOL Multiphysics软件构建电磁—热—力—损伤耦合模型,模拟微波场分布、应力变化与损伤扩展过程。数据集包含孔隙率测试记录、温度与应力应变数据、损伤分布场、设备参数及照片。该数据集为研究微波作用下的岩体破裂机制、建立多场耦合模型及发展柔性造储技术提供了重要的数据支撑和验证依据。
This dataset is primarily targeted at research directions including hot dry rock reservoir stimulation and microwave rock breaking mechanism studies. The data is derived from laboratory microwave radiation rock breaking experiments and multi-physics coupled numerical simulations conducted by the Institute of Underground Engineering, Department of Civil Engineering, Tsinghua University. The research background is to reveal the laws of energy deposition, temperature response and damage evolution of hot dry rock media such as granite under microwave radiation, providing fundamental support for efficient reservoir stimulation and geothermal energy exploitation. The experiments were carried out under constant frequency and power conditions. A coaxial microwave heating device was utilized to collect the temperature, porosity and failure morphology of the samples during the radiation process. Moreover, an electromagnetic-thermal-mechanical-damage coupled model was constructed using COMSOL Multiphysics software to simulate the microwave field distribution, stress variation and damage propagation processes. The dataset encompasses porosity test records, temperature, stress and strain data, damage distribution fields, equipment parameters and photographs. This dataset provides critical data support and validation basis for studying the rock fracture mechanism under microwave irradiation, establishing multi-physics coupled models and developing flexible reservoir stimulation technologies.
提供机构:
清华大学
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集聚焦于微波辐射破岩的室内试验和数值模拟,包含孔隙率、温度、应力应变等多场耦合数据,为干热岩储层改造和微波破岩机理研究提供重要支撑。数据来源于清华大学的研究工作,涵盖实验测试和数值模拟结果,具有较高的科研价值。
以上内容由遇见数据集搜集并总结生成



