Abstract A thermal cone penetration test (T-CPT) with heating and cooling is suggested for recording temperature changes at a pause in penetration [R3-5], serving as an efficient method for the identification of soil thermal properties. A numerical model for the one-dimensional heat conduction problem is proposed to simulate a T-CPT with considerations of [R3-6] the probe size and heating/cooling periods. Verifications with rigorous analytical solutions are performed, and the results of simulated [R3-3] cooling tests and heating-cooling tests are presented along with the predictions based on the analytical solutions. A PSO algorithm is then employed to perform the parameter identification for this inverse problem with complex boundary conditions, and the results show that the predictions of thermal properties can be improved with limited computing needs. The PSO analysis is examined by comparison with a model with the same assumptions that leads to a ‘perfect’ result and cannot assure the applicability. Further study is needed on real data to confirm the results. [R3-4] This study provides a potentially effective approach for the interpretation of T-CPT data, which can serve as a stepping stone for further improvements with considerations of the effects of penetration and heating-cooling processes on the response of a probe-soil system.

中文翻译：

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使用一维数值模型和 PSO 算法解释来自热锥穿透试验的加热和冷却数据

摘要 建议采用加热和冷却的热锥穿透试验 (T-CPT) 来记录穿透暂停时的温度变化 [R3-5]，作为识别土壤热特性的有效方法。提出了一维热传导问题的数值模型来模拟 T-CPT，同时考虑 [R3-6] 探头尺寸和加热/冷却周期。使用严格的解析解进行验证，并提供模拟 [R3-3] 冷却测试和加热冷却测试的结果以及基于解析解的预测。然后采用 PSO 算法对这个具有复杂边界条件的逆问题进行参数识别，结果表明，可以在有限的计算需求下改进热性能的预测。PSO 分析是通过与具有相同假设的模型进行比较来检查的，该模型会导致“完美”的结果并且不能保证适用性。需要进一步研究真实数据以确认结果。[R3-4] 该研究为解释 T-CPT 数据提供了一种潜在有效的方法，可以作为进一步改进的垫脚石，考虑渗透和加热冷却过程对探针响应的影响-土壤系统。