摘要
针对现有大坝预警指标拟定方法的局限,提出了一种基于熵—云耦合的混凝土坝变形预警模型。基于信息熵理论,运用熵权法给出了混凝土坝各测点变形权重,定义了单测点有序度并构建了多测点变形熵;考虑到云模型理论可反映概念的模糊性和随机性,计算了多测点变形熵的数字特征值,绘制了混凝土坝变形熵的云图,并拟定了混凝土坝变形测点的预警指标。实例计算表明,基于熵—云耦合的混凝土坝预警模型高效可行,具有重要的工程应用价值。
With the limitation of the existing methods for the early warning indicators of the dam,a model based coupling entropy and cloud theory has been established to forecast concrete dam's deformation.First of all,the information entropy theory is used to calculate the weight of each measured point of concrete dam.And the expressions of single measured point deformation entropy are given based on information entropy.Then the cloud chart of deformation entropy of concrete dam is determined based on the cloud model,which can reflect fuzziness and randomness of the objective world.Finally,the early-warning index of deformation monitoring points of concrete dam has been implemented based on entropy-cloud model.The example results indicate that the proposed method is highly effective and practicable,which has important application value in engineering.
出处
《水电能源科学》
北大核心
2015年第11期61-64,共4页
Water Resources and Power
关键词
信息熵
云模型
混凝土坝
预警模型
预警指标
information entropy
cloud model
concrete dam
early-warning model
early-warning index