Designing of Elastoplastic Adaptive Truss Structures with the Use of Particle Swarm Optimization

Abstract EN

In the paper we demonstrate how Particle Swarm Optimization (PSO) can be employed to solve the Adaptive Impact Absorption (AIA) problem.

We consider a truss structure which is subjected to impact loads.

Stiff bars can be replaced by elastoplastic fuses which control theirs dynamical response.

The point of optimization is to maximize or minimize a given objective function by redesigning the structure.

This is realized by redistributing the initial mass, finding proper fuse localizations and adjusting, in real-time, the elastoplastic limits.

Comparing to the previous results, we show that PSO is capable of achieving results at least as good as gradient-based optimization, having at the same time much larger flexibility regarding the definition of the objective function.

This gives significantly broader field of potential applications.

In particular, we present how PSO can be used to solve the simultaneous optimization problem: mass redistribution and fuse positioning for a set of expected, various impacts.