Research Of Influence Parameters On Ultimate Bearing Capacity Of Reinforced Concrete Columns With Double Stirrups Based On Artificial Neural Network

Great changes have taken place in the construction industry in the past ten years,which can be reflected in the following two aspects: first,the structure is becoming more and more complex,the second is that the number of buildings increases year by year.Based on the above reasons,to improve the performance of the load-bearing structure has become the focus of attention of the majority of designers.Taking column as an example,the traditional single stirrup confined concrete column can not meet the requirements of the bearing capacity of the structure,so more and more scholars began to focus on the study of the double stirrups confined concrete columns.It favored by its compression ability and the ultimate bearing capacity.However,it is difficult to meet them in the construction for its complex and high cost of production factors.So how to find the factors that have less influence on the structure,the reasonable configuration of the structure to achieve the purpose of cost savings will be the research topic of this paper.When we examined the relevant literature in recent years,we found that the emphasis focused on the mechanical characteristics,structural advantages and other factors.In this paper,we find a new path that we analyzed the seven influence parameters on ultimate bearing capacity of reinforced concrete columns with double stirrups based on artificial neural network and study its influence characteristics.In this paper,we designed 9 double stirrups confined concrete columns,which are made of different grades of concrete.In the stirrup configuration,the seven groups of variables,such as the diameter of the inner and outer stirrups,the stirrup spacing of the inner and outer layers,the stirrup characteristic values of the inner and outer layers,and the circle diameter of the inner stirrups are taken as the research objects.Then put the vertical load on the columns,and makes a preliminary exploration of the influence factors on the bearing capacity.The experimental results show that when the steel strength,concrete strength are controlled under the same conditions,appropriate increase the stirrup characteristic value of the outer hoops can improve the ductility ofconcrete columns,increase concrete strength to a certain extent can improve the bearing capacity of the limit.Then make a further study and verify the experiment through the ABAQUS finite element software.We found the stress mechanism of concrete column by stress distribution that the whole concrete is similar to the elastic member,the concrete and longitudinal reinforcement are under common pressure at the beginning.Subsequently,the concrete and the longitudinal reinforcement begin to swell lateral expansion,and transfer the load to stirrups.In a period of time before reaching the ultimate bearing capacity,the load is mainly borne by stirrups.After reaching the ultimate bearing capacity,most of the steel is in the yielding state,and the deformation increases significantly.In the simulation comparison,we found that the error was big only in the sixth group,and the other groups were in good agreement.This result proves the reliability of the experiment.we used artificial neural network to integrated the experimental data.The results of the data show that with the inner and outer stirrup spacing increasing in a certain range,the ultimate loads of the column decrease and the influence is more obvious when the outer stirrup spacing being changed.When the inner and outer diameter of the stirrup increases gradually,the vertical ultimate bearing capacity of the column showed little sign of regular changing.When the inner diameter of stirrups increases,the vertical ultimate bearing capacity of column decreases.The ultimate bearing capacity of the column increases when the internal and external characteristic value of the stirrup increases.It has important theoretical and practical significance to reveal the internal factors affecting the ultimate bearing capacity of the column and to save the cost of the project.