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机构地区:[1]包头轻工职业技术学院,内蒙古包头014000
出 处:《水电能源科学》2016年第4期43-46,共4页Water Resources and Power
摘 要:针对大坝观测数据的模糊性和随机性问题,引入投影寻踪法(PPA)及云模型(CM)理论,提出了基于PPA-CM模型的大坝变形监控指标拟定方法。模型采用投影寻踪法确定大坝各变形测点权重,运用信息熵理论构建多测点变形熵,基于云模型理论计算多测点变形熵的数字特征值,并依据云模型的3En规则,拟定了大坝变形测点的监控指标。结合实例,通过与小概率法结果对比分析,表明该方法合理、可行,具有重要工程应用价值。In view of the randomness and fuzziness of dam observation data,a model based on projection pursuit analysis and cloud model was established to determine dam's safety monitoring index.First of all,the projection pursuit analysis was used to calculate the weight of each measured point of concrete dam.Then,the expressions of multi-measured points deformation entropy was given based on information entropy.The cloud model was used to calculate the characteristic value of multi-measured points' deformation entropy.Based on 3Enrules of cloud model,the deformation monitoring index of the dam measure point was determined.Compared with the results of small probability method,it indicates that the proposed method is effective and practicable,which has important engineering application value.
关 键 词:投影寻踪法 云模型 PPA-CM模型 大坝变形 监控指标拟定 应用
分 类 号:TV698.1[水利工程—水利水电工程]
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