Optimized Design of Large-Body Structure of Pile Driver Based on Particle Swarm Optimization Improved BP Neural Network

Abstract

Optimization of the pile driver’s large-body structure is important to achieve the driver’s overall light weight. This paper studies the large-body structure of a hydraulic static pile driver. We used the APDL parametric design language provided by ANSYS to construct a geometric model of the large-body structure and performed a static analysis of the finite element model. Under the assumption that the strength and stiffness meet the design requirements, the optimization model was constructed with the thickness of each plate of the large-body structure as the design variable, the structural strength and stiffness as the constraints, and the minimum mass as the objective function. Finally, two optimization algorithms were used to solve the model, and the comparison of the two sets of solutions shows that the improved BP neural network algorithm based on the particle swarm optimization algorithm performs better. The optimized mass of the large-body structure was reduced from 82,556.1 kg to 65,046.15 kg, a mass reduction of 21%. The lightweight design of the pile driver was achieved.

Keywords

• hydraulic static pile driver
• static analysis
• improved BP neural network
• structural optimization design