Search results for "Numerical method"

showing 10 items of 82 documents

Experimental and numerical method for nondestructive ultrasonic defect detection

2010

Ultrasonic methods are well known as powerful and reliable tool for defect detection. Conventional ultrasonic techniques rely generally on piezoelectric transducers where transmission of energy to the material is achieved with contact. In the last decades focus and interest have been directed to non-contact sensors and methods, showing many advantages over contact techniques where inspection depends on contact conditions (pressure, coupling medium, contact area). The growing interest is also due to the further development of air-coupled probes, thanks to new materials for acoustic devices and manufacturing technologies. The use of laser as tool for ultrasonic defect detection is also an eme…

Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineNondestructive Testing Numerical Method
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Analysis of the Parameters Affecting the Stiffness of Short Sisal Fiber Biocomposites Manufactured by Compression-Molding

2021

The use of natural fiber-based composites is on the rise in many industries. Thanks to their eco-sustainability, these innovative materials make it possible to adapt the production of components, systems and machines to the increasingly stringent regulations on environmental protection, while at the same time reducing production costs, weight and operating costs. Optimizing the mechanical properties of biocomposites is an important goal of applied research. In this work, using a new numerical approach, the effects of the volume fraction, average length, distribution of orientation and curvature of fibers on the Young’s modulus of a biocomposite reinforced with short natural fibers were stud…

Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineQD241-441BiocompositesPolymers and PlasticsOrganic chemistryGeneral ChemistryNumerical methodsNatural fibersArticleSisalbiocomposites; natural fibers; sisal; numerical methodsPolymers; Volume 14; Issue 1; Pages: 154
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Bio-electromagnetic Numerical Modeling for Health Diagnostics

Settore ING-IND/31 - ElettrotecnicaSettore MAT/08 - Analisi Numericabioelectromagnetic fields bioelectromagnetism numerical methods medical imaging neuroimaging brain activity electroencephalography magnetoencephalography EEG MEG meshfree meshless method of fundamental solutionscampi bioelettromagnetici bioelettromagnetismo metodi numerici diagnostica per immagini attività cerebrale elettroencefalografia magnetoencefalografia metodo delle soluzioni fondamentali
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Un metodo numerico incodizionatamente stabile mesh-free per l'analisi elettromagnetica

2012

Settore ING-IND/31 - Elettrotecnicameshfree numerical method computational electromagnetics
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On the history of torsional stress concentrations in shafts: From electrical analogies to numerical methods

2014

This article proposes a retrospective on experimental and numerical methods developed throughout the past century to solve the torsion problem in shafts, with particular emphasis on the determination of shear stress concentration factors in discontinuities of typical use in shaft design. This article, in particular, presents the theory and related solutions distinguishing between two classes of geometries: shafts with constant cross section and axisymmetric shafts with variable diameter. Emphasis is given to approaches based on physical analog methods and, in particular, those based on electrical analogies proposed since about 1925. Experimental methods based on structural physical models …

Shaft in torsion stress concentration experimental stress analysis electrical analogies numerical methods keyway shouldered shaftEngineeringPhysical modelbusiness.industryApplied MathematicsMechanical EngineeringNumerical analysisRotational symmetryTorsion (mechanics)Structural engineeringClassification of discontinuitiesPhysics::Classical PhysicsPhysics::Fluid DynamicsSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchinePhysics::Popular PhysicsMechanics of MaterialsModeling and SimulationShear stressExperimental methodsSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialebusinessFillet (mechanics)The Journal of Strain Analysis for Engineering Design
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Simulation of BSDEs with jumps by Wiener Chaos Expansion

2016

International audience; We present an algorithm to solve BSDEs with jumps based on Wiener Chaos Expansion and Picard's iterations. This paper extends the results given in Briand-Labart (2014) to the case of BSDEs with jumps. We get a forward scheme where the conditional expectations are easily computed thanks to chaos decomposition formulas. Concerning the error, we derive explicit bounds with respect to the number of chaos, the discretization time step and the number of Monte Carlo simulations. We also present numerical experiments. We obtain very encouraging results in terms of speed and accuracy.

Statistics and ProbabilityWiener Chaos expansionDiscretizationMonte Carlo methodTime stepConditional expectation01 natural sciences010104 statistics & probabilitybackward stochastic differential equations with jumpsFOS: MathematicsApplied mathematics60H10 60J75 60H35 65C05 65G99 60H070101 mathematicsMathematicsPolynomial chaosApplied MathematicsNumerical analysis010102 general mathematicsMathematical analysista111Probability (math.PR)numerical methodCHAOS (operating system)[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Modeling and SimulationScheme (mathematics)Mathematics - Probability
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A New Approach to the Modeling of Anisotropic Media with the Transmission Line Matrix Method

2021

A reformulation of the Transmission Line Matrix (TLM) method is presented to model non-dispersive anisotropic media. Two TLM-based solutions to solve this problem can already be found in the literature, each one with an interesting feature. One can be considered a more conceptual approach, close to the TLM fundamentals, which identifies each TLM in Maxwell’s equations with a specific line. But this simplicity is achieved at the expense of an increase in the memory storage requirements of a general situation. The second existing solution is a more powerful and general formulation that avoids this increase in memory storage. However, it is based on signal processing techniques and considerabl…

TK7800-8360Computer Networks and CommunicationsComputer scienceDiagonalTransmission-line matrix methodComputer Science::Hardware ArchitectureMatrix (mathematics)Transmission lineComponent (UML)Anisotropic mediaElectrical and Electronic EngineeringOnes electromagnètiquesSignal processingElectromagnetisme Mesuramentslow-frequency numerical methodsLow-frequency numerical methodsStub (electronics)Hardware and ArchitectureControl and Systems EngineeringSignal ProcessingLine (geometry)TLM methodElectronicsanisotropic mediaAlgorithmElectronics
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Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

2019

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV$/c$ SPS proton beam dump and which travel distances between fifty metres and tens of kilometers. The SHiP detector needs to operate under ultra-low background conditions and requires large simulated samples of muon induced background processes. Through the use of Generative Adversarial Networks it is possible to emulate the simulation of the interaction of 400~GeV$/c$ proton beams with the SHiP target, an otherwise computationally intensive process. For th…

TechnologyPhysics - Instrumentation and DetectorsProtonPhysics::Instrumentation and DetectorsComputer sciencebackground: inducedNuclear TheoryDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Simulation methods and programs01 natural sciences09 EngineeringHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]muon: momentumDetectors and Experimental TechniquesNuclear Experimentphysics.ins-detGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationInstruments & InstrumentationMathematical PhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)02 Physical Sciencesinteraction of photons with matterInstrumentation and Detectors (physics.ins-det)p: beammuon: productionDetector modelling and simulations INuclear & Particles Physicsinteraction of hadrons with matterParticle Physics - Experimentperformancedata analysis methodDetector modelling and simulations I (interaction of radiation with matterFOS: Physical sciencesAccelerator Physics and Instrumentation0103 physical sciencesnumerical methodsddc:610[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Aerospace engineering010306 general physicsnumerical calculationsetc)MuonScience & Technologyhep-ex010308 nuclear & particles physicsbusiness.industryNumerical analysisAcceleratorfysik och instrumenteringCERN SPSPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentSimulation methods and programsbusinessGenerative grammar
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Effects of mechanical deformation on electronic transport through multiwall carbon nanotubes

2017

Abstract The effects of mechanical deformation on the electron transport behavior of carbon nanotubes (CNTs) are of primary interest due to the enormous potential of nanotubes in making electronic devices and nanoelectromechanical systems (NEMS). Moreover it could help to evaluate the presence of defects or to assess the type of CNTs that were produced. Conventional atomistic simulations have a high computational expense that limits the size of the CNTs that can be studied with this technique and a direct analysis of CNTs of the dimension used in nano-electronic devices seems prohibitive at the present. Here a novel approach was designed to realize orders-of-magnitude savings in computation…

Work (thermodynamics)Materials scienceNanotechnologyCondensed Matter Physic02 engineering and technologyCarbon nanotubeNumerical methodDeformation (meteorology)01 natural sciencesCarbon nanotubelaw.inventionElectromechanical behaviorSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineCondensed Matter::Materials ScienceElectrical transportlaw0103 physical sciencesMechanics of MaterialGeneral Materials ScienceElectronics010306 general physicsDirect analysisNanoelectromechanical systemsApplied MathematicsMechanical Engineering021001 nanoscience & nanotechnologyCondensed Matter PhysicsMechanics of MaterialsModeling and SimulationMaterials Science (all)0210 nano-technologyInternational Journal of Solids and Structures
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Computational approach to compact Riemann surfaces

2017

International audience; A purely numerical approach to compact Riemann surfaces starting from plane algebraic curves is presented. The critical points of the algebraic curve are computed via a two-dimensional Newton iteration. The starting values for this iteration are obtained from the resultants with respect to both coordinates of the algebraic curve and a suitable pairing of their zeros. A set of generators of the fundamental group for the complement of these critical points in the complex plane is constructed from circles around these points and connecting lines obtained from a minimal spanning tree. The monodromies are computed by solving the defining equation of the algebraic curve on…

[ MATH ] Mathematics [math]Fundamental groupEquations[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]Holomorphic functionGeneral Physics and AstronomyFOS: Physical sciences010103 numerical & computational mathematics01 natural sciencessymbols.namesakeMathematics - Algebraic Geometrynumerical methodsFOS: MathematicsSpectral Methods0101 mathematics[MATH]Mathematics [math]Algebraic Geometry (math.AG)Mathematical PhysicsMathematicsCurvesKadomtsev-Petviashvili equationCollocationNonlinear Sciences - Exactly Solvable and Integrable SystemsPlane (geometry)Applied MathematicsRiemann surface010102 general mathematicsMathematical analysisStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Methods of contour integrationHyperelliptic Theta-FunctionsRiemann surfacessymbolsDispersion Limit[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]Algebraic curveExactly Solvable and Integrable Systems (nlin.SI)Complex plane
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