Results 61 to 70 of about 591,846 (285)

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

Discrete Simulation of Behavioural Hybrid Process Calculus [PDF]

open access: yes, 2005
Hybrid systems combine continuous-time and discrete behaviours. Simulation is one of the tools to obtain insight in dynamical systems behaviour. Simulation results provide information on performance of system and are helpful in detecting potential ...
Krilavičius, Tomas, Schonenberg, Helen
core   +1 more source

Setup‐Optimized Sequencing in Job Shops: Modeling Workstation Productivity and Lateness Behavior

open access: yesAdvanced Engineering Materials, EarlyView.
Setup‐optimized sequencing in job‐shop production creates a trade‐off between productivity improvement and schedule reliability. A WIP‐explicit modeling framework links sequencing‐induced productivity gains and lateness dispersion through the production operating curve.
Friederike Stefanowski   +2 more
wiley   +1 more source

Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning

open access: yesSensors, 2021
Recent research works on intelligent traffic signal control (TSC) have been mainly focused on leveraging deep reinforcement learning (DRL) due to its proven capability and performance. DRL-based traffic signal control frameworks belong to either discrete
Salah Bouktif   +2 more
doaj   +1 more source

Modeling networks of spiking neurons as interacting processes with memory of variable length [PDF]

open access: yes, 2015
We consider a new class of non Markovian processes with a countable number of interacting components, both in discrete and continuous time. Each component is represented by a point process indicating if it has a spike or not at a given time.
Galves, A., Löcherbach, E.
core   +1 more source

Discretizing stochastic dynamical systems using Lyapunov equations

open access: yes, 2014
Stochastic dynamical systems are fundamental in state estimation, system identification and control. System models are often provided in continuous time, while a major part of the applied theory is developed for discrete-time systems.
Axelsson, Patrix   +2 more
core   +1 more source

Pyramidal Structures on Yttria‐Stabilized Zirconia after High Temperature Exposure at 1500°C: New Features on an Old Material

open access: yesAdvanced Engineering Materials, EarlyView.
New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold   +2 more
wiley   +1 more source

The computational complexity of traditional Lattice-Boltzmann methods for incompressible fluids

open access: yes, 2008
It is well-known that in fluid dynamics an alternative to customary direct solution methods (based on the discretization of the fluid fields) is provided by so-called \emph{particle simulation methods}.
Enrico Fonda   +3 more
core   +1 more source

Programming combined discrete-continuous simulation models for performance [PDF]

open access: yesProceedings of the 28th conference on Winter simulation - WSC '96, 1996
Continuous state variables in combined discrete-continuous simulation models (combined models) commonly represent physical quantities, such as fluid levels or temperatures, that are governed by physical laws, and these laws are expressed as differential equations of state.
openaire   +1 more source

Numerical Modeling of Tank Cars Carrying Hazardous Materials With and Without Composite Metal Foam

open access: yesAdvanced Engineering Materials, EarlyView.
Large‐scale puncture models consisting of hazardous materials (HAZMATs) tank car with protective steel–steel composite metal foam (S–S CMF) are solved numerically. Tank car plate with added 10.91–13.33 mm thick S–S CMF layer does not puncture. Protective S–S CMF absorbs impact energy, reduces plate deformation, and prevents shear bands formation ...
Aman Kaushik, Afsaneh Rabiei
wiley   +1 more source

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