A primal–dual predictor–corrector interior point method for non-smooth contact dynamics

Mangoni, Dario; Tasora, Alessandro; Garziera, Rinaldo

doi:10.1016/j.cma.2017.10.030

Cited by 33 publications

(16 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Only few attempts were made to solve contact problems using IPMs such as [30,31] for modelling granular contact dynamics. While, earlier attempts [32,33] did not use the most efficient forms of IPM methods, more recent implementations showed promising results in non-smooth contact dynamics [34] or isogeometric [35] contexts.…”

Section: Introductionmentioning

confidence: 99%

Dual finite-element analysis using second-order cone programming for structures including contact

Boustani

Bleyer

Arquier³

et al. 2020

Engineering Structures

View full text Add to dashboard Cite

Computation of elastic structures in contact is performed by means of a dual analysis combining displacement-based and equilibrium-based finite elements. Contact conditions are formulated in the framework of second-order cone programmaing (SOCP) and an efficient interior point method (IPM) algorithm is presented for the resolution of the associated optimization problems. The dual approach allows the user to assess the quality of convergence and to efficiently calculate a discretization error estimator which includes a contact error term. An efficient remeshing scheme, based on the local contributions of the elements to the global error, can then be used to efficiently improve the solution accuracy. The whole process is illustrated on some examples and applied to a typical steel assembly. Its efficiency, in particular concerning the IPM solver, is demonstrated in comparison with the industrial finite element code Abaqus.

show abstract

Section: Introductionmentioning

confidence: 99%

Dual finite-element analysis using second-order cone programming for structures including contact

Boustani

Bleyer

Arquier³

et al. 2020

Engineering Structures

View full text Add to dashboard Cite

show abstract

“…Few IPA equally effective for both constrained and unconstrained optimization tasks. Recently, IPA is exploited in many fields e.g., active noise control problems [39], simulation of aircraft parts riveting [47], simulation of viscoplastic fluid flows [9], reliable treatment of economic load dispatch problem [38], for non-smooth contact dynamics [23] and non-smooth contact dynamics. In the proposed study, a hybrid computing tool PSO-IPA is exploited to tune the decision variables of ANN representing the model (1).…”

Section: Using the Log-sigmoid Activation Function 1 1 + Exp(−t)mentioning

confidence: 99%

Solving a class of biological HIV infection model of latently infected cells using heuristic approach

Sánchez¹,

Umar²,

Sabir³

et al. 2021

DCDS-S

View full text Add to dashboard Cite

The intension of the recent study is to solve a class of biological nonlinear HIV infection model of latently infected CD4+T cells using feedforward artificial neural networks, optimized with global search method, i.e. particle swarm optimization (PSO) and quick local search method, i.e. interiorpoint algorithms (IPA). An unsupervised error function is made based on the differential equations and initial conditions of the HIV infection model represented with latently infected CD4+T cells. For the correctness and reliability of the present scheme, comparison is made of the present results with the Adams numerical results. Moreover, statistical measures based on mean absolute deviation, Theil's inequality coefficient as well as root mean square error demonstrates the effectiveness, applicability and convergence of the designed scheme.

show abstract

“…The simulation of even five seconds of separation might involve large amounts of particles, thus leading to a computational bottleneck that, in the presented scenario, required up to one hour of computation. Therefore new classes of DVI solvers were used to improve the computational efficiency [38][39][40]. In addition, GPU parallel computing was adopted as discussed in [15].…”

Section: Vision System and Materials Separationmentioning

confidence: 99%

Highly Evolvable E-waste Recycling Technologies and Systems

Copani

Picone

Colledani

et al. 2019

Factories of the Future

Self Cite

View full text Add to dashboard Cite

Materials recycling is a key process to close the loop of materials in the direction of circular economy. However, the variability of waste and the high volatility of the price of recovered materials are posing serious challenges to the current rigid design of mechanical recycling systems. This is particularly true for Waste Electric and Electronic Equipment (WEEE), whose volume is growing more than other waste streams in Europe due to the diffusion of electronic products and to their short technology cycles. This study is aimed at the development of new flexible recycling systems through the implementation of a Hyper Spectral Imaging system and a simulation model enabling the real-time characterisation of shredded particles and the dynamic optimisation of process parameters for efficient sorting. A hardware and software prototype was realised and tested at the De-and Re-manufacturing pilot plant of CNR-STIIMA. The positive economic impact of flexible recycling systems enabled by new technologies was assessed through scenario analysis.

show abstract

A primal–dual predictor–corrector interior point method for non-smooth contact dynamics

Cited by 33 publications

References 19 publications

Dual finite-element analysis using second-order cone programming for structures including contact

Dual finite-element analysis using second-order cone programming for structures including contact

Solving a class of biological HIV infection model of latently infected cells using heuristic approach

Highly Evolvable E-waste Recycling Technologies and Systems

Contact Info

Product

Resources

About