Optimal Design Of Ferris Wheel Based On Improved Particle Swarm Algorithm

As a towering structure,the Ferris wheel is both an amusement facility and a landmark building.At present,extensive research has been conducted on the design and analysis of the Ferris wheel,mainly focusing on the analysis and optimization of the important components of the Ferris wheel and the influence of each load on the Ferris wheel,while the research related to the overall optimization analysis of the Ferris wheel needs to be improved.In this context,this paper conducts the following research on the Ferris wheel based on finite element analysis technology,parametric design concept,and algorithmic optimization method:(1)Explain the basic structure and design requirements of the Ferris wheel.Taking a 62-meter Ferris wheel as an example,a theoretical analysis of its key components is carried out,and the finite element model is established using ANSYS APDL language to complete the finite element analysis.Through the stress test,the data show that the maximum error between the simulation result and the test result is 15.3%,which verifies the reliability of the modeling method.The minimum safety factor of the Ferris wheel components is 5.62 and the maximum safety factor is 23.62,and there is a large optimization space for the structure of the Ferris wheel.(2)Combined with the parametric design concept,an improved particle swarm algorithm based on the hybrid strategy is proposed and applied to the optimal design of the Ferris wheel.The improved strategies are chaotic initialization,particle dynamic ranking strategy and early convergence mechanism,respectively.CEC 2005 and CEC2017 are used as benchmark test functions,and seven other intelligent optimization algorithms are selected for comparative evaluation.The results show that the improved particle swarm algorithm has efficient processing capability for unimodal and multimodal function problems,and can effectively avoid particles trapped in local optimal points.Based on this algorithm,the task of finding the optimal Ferris wheel component size parameters is completed in a relatively short time with the crosssectional dimensions of the column,inner ring of the wheel and outer ring of the wheel as the design variables,the requirements of strength,stiffness and stability as the constraints,and the goal of reducing the overall mass of the Ferris wheel.(3)The parametric design system of the Ferris wheel was developed in Visual Basic.net programming language.The system integrates the functions of parametric modeling,static analysis and algorithm optimization calculation of the Ferris wheel.Taking the 91-meter Ferris wheel as the optimization object,the improved particle swarm algorithm was used to optimize the model together with other seven algorithms.The results show that the improved particle swarm algorithm has the highest optimization rate for the Ferris wheel and the smallest mass of 314519 kg after optimization,which is verified by modal analysis and seismic response spectrum analysis.The results show that under the seismic excitation,the maximum deformation of the Ferris wheel structure is 103 mm and the maximum stress is 90.7MPa,both of which meet the design requirements.The optimized design of the Ferris wheel can be accomplished by using the improved particle swarm algorithm.