Philosophical Research Combined with Mathematics in Dam Safety Monitoring and Risk Analysis

Abstract

In this study, philosophical research combined with mathematics was carried out in the area of dam safety monitoring and risk analysis. Variational mode decomposition was improved and proposed for dam deformation prediction though deep learning. The accuracy and generalization ability of dam deformation prediction were improved effectively. These should be fully understood in the context of the interaction and mutual promotion relationship between dam safety and risk monitoring and analysis, with a consideration of the imbalance of the environment and structure in development during the analysis and research of dam safety. The feasibility of this method for improving structural health monitoring systems is verified by analyzing the deformation monitoring data of a concrete dam. Moreover, a basic reference frame for opening up the deep cross-integration of disciplines was formulated with the dialectical, comprehensive, and dynamic study and exploration of dam safety monitoring and analysis from the perspective of philosophy. It is of great significance to optimize dam safety structure health monitoring, construct dam safety monitoring systems scientifically, ensure dam safety, and realize social harmony by analyzing and exploring the philosophical root of dam safety and risk analysis from the perspective of connection and development, contradiction, and unity. It was found that the proposed deformation analysis model can select the optimal set of influence factors for dam displacement and quickly perform modal decomposition compared with the conventional monitoring model. The prediction accuracy and generality of the model were improved to a certain extent. The purpose of this research is to search for a new pathway to obtain a more objective and accurate method for dam safety analysis.