含孔洞和裂隙混合缺陷的干燥水泥砂浆导热系数相互作用直推预测模型

Interaction direct deduction prediction model of thermal conductivity of dry cement mortar with mixed defects of cavities and cracks

  • 摘要: 水泥砂浆在浇筑、养护和受荷载后易出现缺陷,会显著改变其热传导性能。将水泥砂浆中缺陷分为孔洞和裂隙两种基本类型,基于细观力学理论中的相互作用直推(IDD)估计法,建立了孔洞和裂隙单独存在或同时存在时干燥水泥砂浆等效导热系数预测模型;基于数值模拟结果反推法,提出裂隙随机分布影响函数,改进了IDD模型预测精度;与数值模拟结果进行对比验证其合理性。结果表明,推导出的预测模型充分体现了孔洞、裂隙不同含量及特征对水泥砂浆等效导热系数的影响,预测精度高;提出的裂隙随机分布影响函数具有较高精度和良好适用性;在缺陷率一定的情况下,孔洞对水泥砂浆等效导热系数的影响比裂隙更显著。该预测模型物理基础明确,形式简单,便于工程应用。

     

    Abstract: Cement mortar is prone to product defects during of pouring, curing and loading, which will significantly change its heat conducting properties. The defects in cement mortar were divided into two basic types of cavities and cracks according to its external characteristics and effects. Based on the interaction direct deduction (IDD) estimation method of mesomechanics theory, the prediction models of equivalent thermal conductivity of dry cement mortar with both cavities and cracks alone or in combination were established. Based on the inverse method of numerical simulation results, the random distribution influence function of the cracks was proposed, which improved the prediction accuracy of the proposed model. The IDD calculation results were compared with the numerical simulation results to verify its rationality and accuracy. The results show that the prediction model fully reflects the influence of different contents and characteristics of cavities and cracks on the equivalent thermal conductivity of cement mortar. The model has high prediction accuracy. The proposed random distribution influence function of cracks has high accuracy and good applicability. In the case of a certain defect rate, the effect of cavities on the equivalent thermal conductivity of cement mortar is more significant than that of cracks. The prediction model has a clear physical basis and a simple form, which is convenient for engineering applications.

     

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