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作 者:施有志 洪娇莉 林树枝 徐建宁 Shi Youzhi;Hong Jiaoli;Lin Shuzhi;Xu Jianning(School of Civil Engineering and Architecture,Xiamen University of Technology,Xiamen,Fujian 361024,P.R.China;School of Architecture and Civil Engineering,Xiamen University,Xiamen,Fujian 361005,P.R.China;Xiamen Construction Bureau,Xiamen,Fujian 361005,P.R.China;China Railway First Bureau Group Xiamen Construction Engineering Co.,Ltd.,Xiamen,Fujian 361005,P.R.China)
机构地区:[1]厦门理工学院土木工程与建筑学院,福建厦门361024 [2]厦门大学建筑与土木工程学院,福建厦门361005 [3]厦门市建设局,福建厦门361003 [4]中铁一局集团厦门建设工程有限公司,福建厦门361000
出 处:《地下空间与工程学报》2021年第2期626-636,共11页Chinese Journal of Underground Space and Engineering
基 金:厦门市科技计划(3502Z20183043);厦门市建设局科技项目(XJK-2019-1-4);中铁一局集团有限公司技术研发项目(2017A-043)。
摘 要:为了解综合管廊通风除湿有效时长的变化规律,利用数值模拟以通风换气效率、通风除湿效率作为技术性评价指标进行比选,以最优通风形式评价6个不同影响因子作用下的综合舱通风除湿效果,判断其与通风除湿有效时长之间的相关性,基于多元回归分析搭建通风除湿有效时长预测模型。结果表明:"一端进风一端排风"通风形式的除湿表现最优;通风分区长度和通风换气次数达到一定值后除湿效果趋缓;进风温度与廊内温度初始值的差值越小除湿效果越好;对于相关性系数:进风相对湿度>断面宽高比>通风分区长度>通风换气次数>廊内相对湿度初始值>进风温度;模型预测的通风有效时长拟合值与数值模拟结果之间的误差为0.43%,回归模型拟合效果较好。In order to understand the changing rule of the effective time of ventilation and dehumidification in the comprehensive pipe gallery,the ventilation and air exchange efficiency and ventilation and dehumidification efficiency are compared and selected as the technical evaluation indexes by numerical simulation,the ventilation and dehumidification effect of the comprehensive cabin under the action of six different influence factors is evaluated by the optimal ventilation form,and the correlation between them and the effective time of ventilation and dehumidification is judged.The prediction model of effective ventilation and dehumidification duration is built based on the multiple regression analysis.The results show that the dehumidification performance of the ventilation form of"one-end intake and one-end exhaust"is the best;the dehumidification effect slows down when the length of the ventilation zone and the number of ventilation exchanges reach a certain value;the smaller the difference between the intake temperature and the initial value of the temperature in the corridor,the better the dehumidification effect;for the correlation coefficient,the relative humidity of the intake air>the width-height ratio of the section>the ventilation efficiency.The fitting error between the fitting value of effective ventilation time predicted by the model and the numerical simulation result is 0.43%,and the fitting effect of the regression model is good.
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