文章摘要
钟登华,沈子洋,王佳俊,崔博,任炳昱,王栋.基于实时监控的混凝土坝振捣施工质量动态评价研究[J].水利学报,2018,49(7):775-786
基于实时监控的混凝土坝振捣施工质量动态评价研究
Study on dynamic evaluation of vibration quality of concrete dam based on real-time monitoring
投稿时间:2018-02-02  
DOI:10.13243/j.cnki.slxb.20180122
中文关键词: 混凝土坝  振捣质量评价  振捣实时监控方法  不确定性  随机森林算法
英文关键词: concrete dam  vibration quality evaluation  vibration real-time monitoring method  uncertainty  random forest
基金项目:国家自然科学基金项目(51439005,51339003);国家自然科学基金创新研究群体项目(51621092)
作者单位
钟登华 天津大学 水利工程仿真与安全国家重点实验室, 天津 300072 
沈子洋 天津大学 水利工程仿真与安全国家重点实验室, 天津 300072 
王佳俊 天津大学 水利工程仿真与安全国家重点实验室, 天津 300072 
崔博 天津大学 水利工程仿真与安全国家重点实验室, 天津 300072 
任炳昱 天津大学 水利工程仿真与安全国家重点实验室, 天津 300072 
王栋 天津大学 水利工程仿真与安全国家重点实验室, 天津 300072 
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中文摘要:
      混凝土坝仓面振捣质量评价是混凝土坝施工质量控制的重要手段。传统方法采用事中人工经验控制振捣参数与事后有限的钻芯取样点检测相结合来控制混凝土坝振捣施工质量;此外,现有的振捣台车振捣监控研究中仅采用单个测距仪进行测距,且缺乏仓面振捣质量评价方法。针对混凝土坝仓面内振捣施工实时质量动态评价和反馈控制的挑战和难点,本文提出了基于双测距仪联合测距方案的混凝土坝振捣施工质量实时监控方法,并基于该方法建立了考虑混凝土特性参数不确定性的混凝土振捣质量动态评价模型,该模型主要包括以下内容:(1)引入“信息熵”理论对混凝土特性参数的不确定性进行量化分析;(2)在考虑参数不确定性的情况下基于随机森林算法提出了混凝土抗压强度动态计算方法,并将计算结果应用于混凝土坝全仓面振捣质量评价。将该模型与多元线性回归和人工神经网络算法建立的评价模型进行了对比分析,验证了本模型的一致性和优越性。应用本文提出的评价方法对我国某西南碾压混凝土坝工程仓面变态混凝土区域的振捣质量进行了动态评价,结果表明,该方法能够准确评价仓面混凝土振捣质量,为混凝土坝振捣施工质量控制提供了理论依据。
英文摘要:
      The vibration quality evaluation of concrete dam is an important means for the quality control of the concrete dam construction. Traditional method combines artificial experience control with postmortem fi-nite core sampling point detection to control the vibration quality of concrete dam;in addition,the existing vibration monitoring research on vibrator only uses a single rangefinder to range and lacks evaluation meth-od of vibration quality. Taking into account the challenges and difficulties of real-time vibration quality dy-namic evaluation and feedback control in concrete dam storehouse,this paper puts forward a real-time mon-itoring method of the vibration quality of concrete dam considering vibration quality acceptance management based on a ranging scheme with two rangefinders, and establishes a dynamic evaluation model for concrete dam vibration quality considering parameter uncertainty on the basis of this method. The model mainly in-cludes the following contents:(1) conducting quantitative analysis of the uncertainty of concrete characteris-tic parameters by introducing the "information entropy" theory;(2) proposing the dynamic evaluation meth-od of concrete compression strength based on random forest algorithm in the case of parameter uncertainty, and the evaluation results are applied to the whole dam storehouse surface vibration quality evaluation. The evaluation model are compared with the models built by multiple linear regression and artificial neural net-work algorithm,which verifies the consistency and superiority of the random forest model. The dynamic eval-uation of the vibrating quality of the abnormal concrete area of a RCC dam project in southwest China is carried out by the evaluation method proposed in this paper. The results show that the method can accurate-ly evaluate the vibration of concrete storehouse surface quality, and it also provides a theoretical basis for the vibration quality control of the concrete dam.
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