The generalized penetration depth PD of two overlapping bodies X and Y is the distance between the given colliding position of X and the closest collision-free Euclidean copy Xε to X according to a distance metric. We present geometric optimization algorithms for the computation of PD with respect to an object-oriented metric S which takes the mass distribution of the moving body X into conside...

In this paper, we consider a two-mass 2-DOF vibro-impact system, consisting of linear oscillator, called the primary structure, and an impact damper attached to it. A with small mass hits wall rigidly connected structure. This scheme corresponds single-sided nonlinear energy sink – SSVI NES. It is shown that even light can reduce amplitude velocity structure oscillatory movement, is, decrease i...

Abstract Recently, several socio-/bio-inspired algorithms have been proposed for solving a variety of problems. Generally, they perform well when applied unconstrained problems; however, their performance degenerates constrained Several types penalty function approaches so far handling linear and non-linear constraints. Even though the approach is quite easy to understand, precise choice parame...

We present a novel penetration depth estimation algorithm based on the use of deformed distance fields for simulation of non-penetrating flexible bodies. We assume that the continuum of non-rigid models are discretized using standard techniques, such as finite element methods. As the objects deform, the distance fields are deformed accordingly to estimate penetration depth, allowing enforcement...

In many virtual reality applications it is necessary to simulate the interaction among solid objects. One of the basic requirements is to ensure a non-penetration of rigid bodies. We show algorithms for detecting a collision of moving bodies along with the exact time of collision determination. Next we present a method for computation the postcollision velocities and positions of colliding obje...

The utilization of renewable biomass as feedstock for biofuel production has been gaining prestige to mitigate carbon emissions. This paper aims render an optimization model designing a resilient and reliable biomass-to-biofuel supply chain network in which multi-modal terminals, biorefineries, their connection link could be faced with disruption. For this purpose, risk-averse optimization, tra...