Abstract
Embedded cool-pipes are very important for massive concrete because their cooling effect can effectively avoid thermal cracks. In this study, a data mining approach to analyzing the thermal performance of cool-pipes via in situ monitoring is proposed. Delicate monitoring program is applied in a high arch dam project that provides a good and mass data source. The factors and relations related to the thermal performance of cool-pipes are obtained in a built theory thermal model. The supporting vector machine (SVM) technology is applied to mine the data. The thermal performances of iron pipes and high-density polyethylene (HDPE) pipes are compared. The data mining result shows that iron pipe has a better heat removal performance when flow rate is lower than 50 L/min. It has revealed that a turning flow rate exists for iron pipe which is 80 L/min. The prediction and classification results obtained from the data mining model agree well with the monitored data, which illustrates the validness of the approach.
Highlights
Temperature is an important factor that affects massive concrete structures’ health [1]
When the volume of a concrete structure is so large that it generates excessive heat and associated expansions [2], which may lead to a risk of temperature cracks, we can name it “massive concrete” [3, 4]
When flow rate is higher than 60 L/min, high-density polyethylene (HDPE) pipe can have a better performance of absorbing heat
Summary
Temperature is an important factor that affects massive concrete structures’ health [1]. When the volume of a concrete structure is so large that it generates excessive heat and associated expansions [2], which may lead to a risk of temperature cracks, we can name it “massive concrete” [3, 4] Postcooling measures, such as embedding cool-pipes, are commonly included in the design to mitigate such effects. To the knowledge of the authors, few studies have reported the statistics of the thermal performance of coolpipes in actual concrete engineering studies, based on real measured data, especially for large-scale projects. Our paper is organized as follows: Section 2 describes the delicate thermal monitoring program, including the temperature measurement of concrete, inlet-outlet temperature, and flow of cool-pipes.
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