Size Optimization And Parameter Analysis Of Reinforced Cantilever Retaining Walls By Heuristic Algorithms

As the country is gradually building throughout the transportation network,in the "13th Five-Year plan" put forward "The Belt and Road" construction,traffic infrastructure construction has been placed in a very important position,the cantilever retaining wall optimization design is of great significance in ensuring the safety and economy of the retaining wall construction.First,Based on the existing cantilever retaining wall,the calculation of earth pressure theory and the development of swarm intelligent optimization algorithm,By choosing 9 parameters are selected as design variables to define the structure and the establishment of cost functions in the analysis.Establishing a cantilever retaining wall structure size constraint optimization model,a python optimization program through the size limit and stability conditions,the internal penalty function to deal with constraints.Then,Combined with a practical engineering problem,Using conventional cantilever retaining wall design method and the heuristic algorithm-genetic algorithm(GA),particle swarm optimization(PSO),simulated annealing(SA)-intelligent design method of cantilever retaining wall optimization model is solved.Through the model time and the final result,the conventional design of steel consumption is 2~3 times the heuristic design of steel consumption.the conventional design of unit length of the minimum cost is two times the minimum cost per unit length heuristic algorithm design,The heuristic algorithm can be effectively applied to the intelligent design of cantilever retaining wall,and the feasibility and efficiency of each algorithm are compared.Finally,a feasible and efficient method for the optimization of cantilever retaining wall is presented,Through the analysis of only one parameter is selected,the other parameters remain unchanged,comparative analysis of the cantilever retaining wall optimization design results of the effective internal friction angle,surface load,friction coefficient and sensitivity of severe basal filling,It is concluded that the cantilever retaining wall is the most sensitive to the change of the surface load,and is sensitive to the internal friction angle and the filling weight,and is not sensitive to the frictioncoefficient.