%0 Journal Article
%A SHANG Sang
%A ZHAO Chun-ju
%A ZHOU Yi-hong
%A WANG Fang
%A ZHAO Ke-xin
%T Data Mining Model of the Relationship Between Mid-term Cooling Rate and Water-cooling Parameters in Construction Period of Xiluodu Arch Dam
%D 2019
%R 10.11988/ckyyb.20171225
%J Journal of Yangtze River Scientific Research Institute
%P 116-120
%V 36
%N 6
%X A model of association rule mining for the mid-term water cooling parameters is established to tackle the interference of redundant construction data on analyzing the correlation between daily cooling rate and water-cooling parameters. First, the main factors affecting the daily cooling rate are determined, and then the quantitative association rules are extracted from the history monitoring data of dam temperature. On such basis, the main control parameters are determined so as to optimize the mid-term water cooling measures. Results suggest that the water-cooling temperature should be controlled within (14.6,14.8]℃ so as to meet requirements, the initial temperature of concrete should be in (17.7,18.5]℃, and water flow rate between (15.0,22.5] L/min. Water flow rate should be regarded as control focus, so the initial value of cooling flow rate can be preset as within (15.0,22.5] L/min. The research finding is of guiding significance for deciding mid-term cooling measures.
%U http://ckyyb.crsri.cn/EN/10.11988/ckyyb.20171225