Aqueduct stability state assessment based on AHP-entropy weight improved cloud model
[Objective]The service safety and structural stability of water conveyance aqueducts across wet submerged loess areas are difficult to assess quantitatively due to foundation deformation and building deterioration during the service life of the aque-ducts.In order to assess the stable state of wetted foundation aqueduct,this study takes the Qingshui River ferry in Ningxia Guhai irrigation area as the research object,and constructs a comprehensive assessment system for the stable state of wetted loess foundation ferries based on the coupling of the stable state of wetted loess foundation and the stable state of the ferry building with a multilevel assessment system.[Methods]The cloud model is used to make a comprehensive assessment of the stability state of the wetted loess foundation trench,and the cloud model is improved by using the AHP-entropy weight method.In the study,the Lagrange multiplier method is used to couple the AHP method with the entropy weight method to calculate the index weights,so as to improve the reasonableness of the model's weights and make them more objective and precise.[Results]The research result show that the cloud numerical characteristic parameters of the stability state of the collapsible loess foundation,the stability state of the aqueduct building,and the overall stability state of the collapsible loess foundation aqueduct in active Qingshui river aque-ductare are W,=(4.608,0.766,0.228),W2=(6.094,0.674,0.214),and W=(5.307,0.720,0.221),respectively,[Conclusion]The result show that the stabilization state of the wetted loess foundation,the stabilization state of the aqueduct building and the overall stabilization state of the aqueduct with wetted loess foundation of the active Qingshui River aqueduct are in the V3(medium)stable state,V4(more)stable state and V3(medium)stable state,respectively.The assessment model can provide a reference for the assessment of the stability of similar hydraulic structures in the region of wet subsiding loess.
国家科技期刊平台
NSTL
万方数据
维普
