期刊文献+

再生骨料透水混凝土亚高温-冷却性能研究 被引量:3

Study on the Sub-high Temperature and Cooling Performance of Recycled Aggregate Pervious Concrete
下载PDF
导出
摘要 以再生骨料透水混凝土为对象,设计不同试验,研究其在亚高温-冷却条件下强度变化规律,试验包括常温、4种亚高温(80、120、160℃及200℃)及3种冷却方式(水冷、风冷、自然冷却),并在此基础上建立BP神经网络预测模型,预测其强度性能。结果表明,随温度升高,再生骨料透水混凝土强度先增大后减小,80℃时抗压强度最高,为14.65MPa,与常温下相比,增幅45.54%;冷却会引起强度损失,且加热温度越高、冷却越剧烈,强度损失越大,200℃加热温度、浸水冷却下强度损失最大,为46.5%;同时这种变化还具备可预测性,相对误差在10%左右。 Taking recycled aggregates pervious concrete as research object,different tests are designed to study the strength variation of concrete under sub-high temperature-cooling conditions,including normal temperature,four kinds of sub-high temperature(80℃,120℃,160℃and 200℃)and three cooling ways(water cooling,air cooling and natural cooling).On this basis,the BP neural network prediction model is established to predict the strength performance.The results show that,with the increase of temperature,the strength of recycled aggregate pervious concrete increases first and then decreases.The compressive strength is the highest at 80℃,which is 14.65 MPa and is an increase of 45.54%compared with that at normal temperature.Cooling will cause strength loss,and the higher the heating temperature and the more severe the cooling,the greater the strength loss.The maximum strength loss is 46.5%under the condition of 200℃heating temperature and water immersion cooling.The change of concrete strength under different sub-high temperature-cooling condition is predictable,and the relative prediction error is about 10%.
作者 陈守开 蒋海峰 郭磊 汪伦焰 CHEN Shoukai;JIANG Haifeng;GUO Lei;WANG Lunyan(School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450046,Henan,China;Henan Key Laboratory of Water Environment Simulation and Treatment,Zhengzhou 450045,Henan,China;Collaborative Innovation Center of Water Resources Efficient Utilization and Protection Engineering,Zhengzhou 450045,Henan,China)
出处 《水力发电》 北大核心 2020年第10期122-126,共5页 Water Power
基金 国家自然科学基金面上项目(51679092) 河南省重大科技攻关项目(172102210372) 河南省产学研合作项目(182107000031)。
关键词 再生骨料透水混凝土 BP神经网络 水分状态 冷却损伤 水化反应 recycled aggregate pervious concrete BP neural network moisture state cooling damage hydration reaction
  • 相关文献

参考文献7

二级参考文献42

共引文献429

同被引文献52

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部