摘要
采用小概率法估计温度监控指标的目的是根据混凝土坝体抵御已经历过的温度荷载的能力来评估和预测抵御可能发生温度荷载的能力,以西南某在建混凝土拱坝第二期冷却(简称二冷)期间的温度监测资料为例,求得已灌区各浇筑仓二冷期间最大的降温速率后,采用小概率法拟定该坝二冷降温速率监控指标,以指导现场混凝土通水冷却措施。实践表明,当有足够多的二冷期间的温度监测资料时,采用小概率法拟定二冷期间降温速率监控指标是可行的。
The goal of temperature monitoring indexes estimation with low probability method is to evaluate and predict the capability of possible temperature load based on the capability of concrete dam body resisting the past temperature load.Taking the temperature data of a constructing concrete arch dam in Southwest China during the second-stage cooling period for an example,the low probability method is applied to determine the monitoring index of falling temperature rate after getting the maximum falling temperature rate of each pouring deck,which guides the on-site concrete water cooling construction.Practice shows that it is feasible to determine the monitoring index of falling temperature rate with the low probability method if there is enough temperature monitoring data.
出处
《水电能源科学》
北大核心
2012年第6期102-103,40,共3页
Water Resources and Power
基金
国家自然科学基金资助项目(51079079)
湖北省教育厅科学技术基金资助项目(D20101207)
关键词
二期通水
降温速率
小概率法
容许降温速率
second-stage water flow
cooling rate
low probability method
allowed cooling rate