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| 基于人工温度场的土体渗流监测理论模型与试验验证 |
| Theoretical Model and Its Experimental Validation of Soil Seepage Monitoring Based on Artificial Thermal Field |
| 投稿时间：2024-10-08 修订日期：2025-09-22 |
| DOI： |
| 中文关键词: 人工温度场 渗流监测 热-流耦合 数值模拟 降温过程 渗流速度 |
| 英文关键词: artificial thermal field seepage monitoring thermal-flow coupling numerical simulation cooling process seepage velocity |
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| 中文摘要: |
| 在土石坝工程中,利用温度实施渗流安全监测的相关技术,其可行性已得到验证。然而,如何基于温度场来定量评估土中流速仍是一个有待解决的问题。鉴于此,本文构建了考虑热-流耦合作用的人工温度场渗流分析模型,采用有限元方法研究了不同渗流速度下的降温规律。结果表明：(1)当渗流速度低于1×10-4 cm/s时,传热过程以热交换方式为主,热对流的影响可忽略；此时,进一步降低渗流速度对传热过程的影响微弱。(2)初始温度的选取并不影响其降温规律,后者仅与周围土体中的渗流速度相关。因此,实际工程中应用人工温度场技术开展流速分析时,可不必严格控制其初始温度。(3)降温系数λ与渗流速度v之间具备单调性,提出的指数衰减函数的拟和曲线与孔内水温下降过程吻合良好,可根据人工温度场的降温曲线准确预测土中渗流状态。综上,本研究验证了通过人工温度场确定土中流速的技术可行性,为流速测量提供了理论支撑。 |
| 英文摘要: |
| In earth-rock dam engineering, the feasibility of using temperature for seepage safety monitoring has been verified. However, quantitatively assessing the flow velocity in soil based on the temperature field remains an unresolved issue. In this regard, this paper constructs an artificial thermal field seepage analysis model that considers the thermal-seepage flow coupling effect, using the finite element method to study the cooling patterns of monitoring wells under different seepage velocities. The results indicate that: (1) When the seepage velocity is lower than 1×10-4 cm/s, the heat transfer process is primarily governed by heat exchange, with the influence of thermal convection being negligible; further reduction in seepage velocity has a minimal effect on the heat transfer process. (2) The selection of the initial temperature does not affect the cooling pattern, which is solely related to the seepage velocity in the surrounding soil. Therefore, when applying the artificial temperature field technique for flow velocity analysis in practical engineering, it is unnecessary to strictly control the initial temperature. (3) There is a monotonic relationship between the cooling constant λ and the seepage velocity v, and the proposed exponential decay function fits well with the water temperature decline process inside the monitoring well, enabling accurate prediction of the seepage state in soil based on the cooling curve of the artificial temperature field. In summary, this study validates the feasibility of determining flow velocity in soil using an artificial thermal field and provides theoretical support for flow velocity measurement. |
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