Study On Structure Optimization For Truss Engineering Of A Certain Steel Trestle

As the development of science and technology grows,complex and flexible structures such as ultra-high,large-span and ultra-thin have continuously emerged.The truss structure has many significant advantages in the face of the above-mentioned difficult projects,and provides a good choice for the successful completion of the project.The structure has the advantages of light weight,large bearing capacity,outstanding seismic performance,flexible coordination between various parts.What's more,it also has simple construction steps,low construction process requirements and low transportation conditions.It can be flexibly disassembled according to the requirements in working occasion and contains low cost in terms of construction.Therefore,the truss structure has been widely applied to stadiums,factories,bridges and other large-span,complex structural projects and achieved excellent application results.After years of development,designers become positive to calculate and obtain the optimization algorithm,rather than previously relying on the traditional optimization of choosing an optimization algorithm from several ones.However,it is still difficult to optimize the structure accurately and effectively.Traditional structural optimization methods,however,can't afford to attain the best optimal decision in civil engineering.Therefore,in order to solve these problems,it is necessary to seek for well-performed structural optimization.As the computer technology develops rapidly,intelligent optimization has been paid more and more attention and attracted more researches of scientists.Optimization algorithms are widely used in the field of computer,artificial intelligence and management decision-making.Compared with today's main optimization algorithms,FOA has less key parameters,which is conducive to computer programming,strong global search ability,high precision of optimization,strong robustness and good convergence performance.At present,the application of FOA in the field of civil engineering is still not common.In order to provide a new method and idea for the optimization of civil engineering structure this thesis applies the fruit fly optimization algorithm to the optimization of truss structure.The standard fruit fly optimization algorithm is easy to fall into the local optimum and the process is unstable in the face of complex optimization problems.In such case,the corresponding improvements are made to better enable to adapt the truss structure optimization problems.The fixed search step size in the basic fruit fly optimization algorithm is changed to the dynamic adjustment search step size of the inertia weight function.Thus the algorithm is more stable in dealing with complex multi-peak optimization problems.At the same time,the tabu search theory is introduced.When it reaches the local convergence state of the algorithm,the depth optimization is continued,and the optimization precision and speed are improved to jump out of the local optimal problem.The improved fruit fly optimization algorithm is applied to the truss example and the actual engineering component optimization of the tubular trestle.The truss section size is taken as the design variable,and the optimization model is established with the minimum weight of the structural member as the objective function.Conduct the structural model optimization analysis and compare with raw data and other algorithms in the literature.The results show that the improved FOA can significantly improve the stability of the complex problems such as structural optimization of tubular trestle bridges and falling into local optimal solutions.It further balances the global and local search capabilities of the algorithm and the effect is rather obvious.This paper provides a new idea and method for structural optimization and similar engineering problems.