Topology Optimization And Design Of Reinforcement Layout For RC D-regions Based On Genetic Evolutionary Algorithms

Reinforcement layout design of members in reinforced concrete D-regions were a complicated question all the time.In the past,designers frequently used empirical design method,but now it was popular to employ stress design method.However,this method requires high mechanical analysis ability of designers and needs to be improved in operation.In order to solve these problems,this thesis proposes a new optimization method based on the existing genetic evolutionary structure optimization,and proves its effectiveness through experiments.Finally,a simple reinforcement design method is proposed,and the performance of various aspects of the design method is discussed.The paper mainly involves the following contents:The bidirectional evolutionary structural optimization was combined with the genetic algorithm(GA)in this paper,the genetic bidirectional evolutionary structural optimization(GBESO)is proposed based on the separated elements model.GBESO was used in the reinforced-concrete separating elements model to explore the reinforcement layout optimization design of,complex-stressed members.The results obtained could intuitively get the concrete reinforcement layout such as the length and position of reinforcement.Compared with the topology optimization results of GESO and genetic adding evolutionary structural optimization(GAESO),GBESO could supplement the high-efficiency units eliminated in GESO,and had better global optimization ability.In the case of simply-supported deep beams,the GBESO could save more steel consumption than the GAESO.In order to verify the effectiveness of the genetic bidirectional evolutionary structural optimization(GBESO)based on the separated elements model,two groups of reinforced concrete members were designed for comparative static tests using this method and empirical method.The experimental results show that the utilization ratio of steel bars in the components designed by the genetic bidirectional evolutionary structural optimization(GBESO)based on the separated elements model is higher than that of the empirical design method.Compared with the components designed by the genetic bidirectional evolutionary structural optimization(GBESO)based on the separated elements model,the inclined steel bars can effectively prevent the development of inclined cracks,the cracks develop slowly,and the cracks are basically within the scope of the stressed steel bars,and the ductility is obtained.The ultimate bearing capacity is 30% higher than that of the empirical method.At last,in order to obtain the reinforcement design suitable for complex-stressed members,the optimal topological reinforcement layout of complex-stressed members was studied,which was the optimal topological reinforcement obtained by applying the separated-elements model genetic bidirectional evolutionary structural optimization(GBESO)to the reinforced-concrete separating model.A new method for reinforcement layout of complex-stressed members was put forward.The results show that the separated-elements model genetic bidirectional evolutionary structural optimization(GBESO)could intuitively construct the reinforcement layout of the reinforced concrete complex-stressed members,but the construction operability of the scheme is a little lower and only based on the results of stress analysis.The simplified design results intuitively agree with the specific arrangement of the reinforcement layout,the simplified design of reinforcement is correct and the reinforcement layout is arranged regularly.The diagonal reinforcement is greatly simplified,the operability of the construction is enhanced,and the necessary structural reinforcements that meet the requirements of the specification are added,and the design results of the reinforcement are more perfect.In the case of the deep beam with two small openings in each side,Compared with the empirical design method,the final reinforcement drawing saves 13.43% steel consumption respectively.