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基于毛细压力对数的HAM模型改进

Improvement of HAM-Model Based on Capillary Pressure Logarithm

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【作者】 孟庆林李复翔李琼

【Author】 MENG Qinglin;LI Fuxiang;LI Qiong;School of Architecture, South China University of Technology;

【通讯作者】 李琼;

【机构】 华南理工大学建筑学院

【摘要】 针对南海地区极端热湿气候特征,考虑空气渗透过程,以毛细压力对数为湿驱动势,室内外空气参数为边界条件,建立了建筑墙体内一维瞬态热湿耦合传递模型。使用HAMSTAD Benchmark 2、3来验证其准确性,结果显示,计算结果与基准结果具有较高的一致性,说明新建模型可用于计算建筑墙体内包含空气渗透过程的热湿耦合传递。对比了新建模型与已有毛细压力驱动势模型、相对湿度驱动势模型在计算基准案例和实际工况下的适用性、准确性和计算效率。结果表明:新建模型和相对湿度驱动势模型可准确计算两个基准测试,新建模型的收敛速度最快,毛细压力驱动势模型无法完整计算基准案例3;在实际工况下,仅有新建模型和相对湿度驱动势模型可以完成计算,后者收敛速度快、结果波动小。

【Abstract】 In response to the extremely hot-humid weather in the South China Sea area, a novel 1-D transient heat and moisture coupled transfer model(LPc-model) for building walls was developed by selecting capillary pressure logarithm as the moisture driving potential and the outdoor and indoor air parameters as the boundary conditions and taking the air infiltration into account. HAMSTAD Benchmark 2,3 were used to verify the accuracy of the model. The good agreements between the calculated results and benchmark test results indicate that the model can be used to calculate the heat and moisture coupled transfer including air infiltration inside the wall. The applicability, accuracy, and calculation efficiency of the new model was compared with the existing capillary pressure model(Pc-mo-del) and relative humidity model(RH-model) under benchmark test condition and a realistic condition. The results show that only the LPc-model and RH-model can calculate the two benchmark tests accurately, LPc-model has the fastest convergence speed, and Pc-model cannot completely calculate the benchmark 3. Under real weather conditions, only LPc-model and RH-model can complete the calculation, and RH-model has a faster convergence speed and more narrower fluctuation in the results.

【基金】 国家自然科学基金资助项目(51590912,51938006,51778237);国家重点研发计划项目(2016YFC0700205,2020YFE0200300);广东省自然科学基金资助项目(2015A030306035);广州市科技计划项目(201804020017,202002030261);华南理工大学中央高校基本科研业务费专项项目(2019ZD29)~~
  • 【文献出处】 华南理工大学学报(自然科学版) ,Journal of South China University of Technology(Natural Science Edition) , 编辑部邮箱 ,2020年09期
  • 【分类号】TU111.4
  • 【被引频次】1
  • 【下载频次】89
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