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鉴于大坝安全综合评价中的权重选取关系到评价结果的可靠性、合理性,为充分挖掘大坝监测数据所携带的信息,并考虑影响大坝基岩安全的因素特征,从投影寻踪方法的优化函数和约束条件两个方面改进传统算法,即采用最大熵原理与投影寻踪耦合模型改进投影寻踪方法的优化函数,结合实测指标的特征改进投影寻踪法的约束条件,从而得到约束型最大熵投影寻踪耦合模型。将该模型计算得到的各实测指标权重运用于灰色聚类综合评价,并利用聚类系数向量的灰度进行方法优劣的判别。实例应用结果表明,将本文方法求得的权重用于综合评价是合理可行的,相比于熵权法、传统投影寻踪法,更符合大坝基岩实测数据的特征,且得到的评价结果灰度更小,更易区分所属灰类。
Considering the reliability and rationality of the evaluation results in view of the weight selection in the comprehensive dam safety assessment, in order to fully excavate the information carried by the dam monitoring data and consider the factors that affect the safety of the bedrock of the dam, The optimization function and the constraint condition are improved. The optimization function of projection pursuit method is improved by using maximum entropy principle and projection pursuit coupled model, and the constraint conditions of projection pursuit method are improved by combining the characteristics of measured indexes to obtain the constraint type Maximum Entropy Projection Pursuit Coupled Model. The weight of each measured index calculated by the model is applied to the gray clustering comprehensive evaluation, and the gray value of the clustering coefficient vector is used to discriminate the method’s advantages and disadvantages. The results of practical application show that it is reasonable and feasible to use the weight obtained in this method for comprehensive evaluation. Compared with the entropy method and the traditional projection pursuit method, the proposed method is more in line with the measured data of the dam foundation rock and the obtained evaluation result is gray Smaller degree, easier to distinguish their own gray class.