Search results for "MECHANICS"

showing 10 items of 9361 documents

Sur la prise en compte de quelques conditions aux limites avec la méthode des éléments finis

2017

Ce cours a pour principal sujet la discrétisation de certaines conditions limites sur le bord d'un domaine à l'aide de la méthode des éléments finis. Nous étudions en particulier des problèmes elliptiques avec conditions de Dirichlet non-homogènes, puis avec conditions de Signorini. Les conditions de Signorini sont des conditions de contact unilatéral entre un solide et un support rigide. Différentes méthodes sont passées en revue, et nous détaillons l'analyse pour les méthodes classiques et celle de Nitsche.

conditions limites de Dirichlet[SPI] Engineering Sciences [physics][PHYS.MECA.STRU] Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]méthode de Nitscheéquations aux dérivées partielles elliptiques[MATH] Mathematics [math][MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA]méthode des éléments finisconditions limites de Signorini
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New Indicators of Approximation Errors for Problems in Continuum Mechanics

2010

In this paper we present a new error indicator for approximate solutions of elliptic problems. We discuss error indication with the paradigm of the diffusion problem, however the techniques are easily adaptable to more complicated elliptic problems, for example to linear elasticity, viscous flow models and electromagnetic models. The proposed indicator does not contain mesh dependent constants and it admits parallelization. nonPeerReviewed

continuum mechanicskokemuksellisuuserror indicatorreliable numerical methods
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Modeling long-range memory with stationary Markovian processes

2009

In this paper we give explicit examples of power-law correlated stationary Markovian processes y(t) where the stationary pdf shows tails which are gaussian or exponential. These processes are obtained by simply performing a coordinate transformation of a specific power-law correlated additive process x(t), already known in the literature, whose pdf shows power-law tails 1/x^a. We give analytical and numerical evidence that although the new processes (i) are Markovian and (ii) have gaussian or exponential tails their autocorrelation function still shows a power-law decay =1/T^b where b grows with a with a law which is compatible with b=a/2-c, where c is a numerical constant. When a<2(1+c) th…

correlation methodMarkov processeMathematical optimizationStationary distributionStatistical Mechanics (cond-mat.stat-mech)LogarithmStochastic processdiffusionAutocorrelationFOS: Physical sciencesProbability density functionContext (language use)White noiseExponential functionStatistical physicswhite noiseCondensed Matter - Statistical MechanicsMathematics
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Assessment and strengthening of reinforced concrete bridges with half-joint deterioration

2022

Existing Niagara-type concrete cantilever bridges, which in Italy are called Gerber bridges, suffer from degradation due to reinforcement corrosion and a consequent reduced load-bearing capacity. The assessment of these structures is therefore an important part of the procedures for analyzing the state of existing bridges and any interventions required for their retrofitting. In particular, safety against failure of the half-joint must be evaluated with respect to the behavior of the entire bridge and its state of conservation, determining what the conditions are that lead to failure, in terms of loads, state of stress, and possibly cracking state. This evaluation has to be carried out cons…

corrosionGerber saddleMechanics of Materialshalf-jointprestressingGeneral Materials ScienceBuilding and Constructioncantilever bridgereinforced concretestructural assessmentCivil and Structural Engineering
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A Model for Assessing the Magnitude and Distribution of Sheath Currents in Medium and High-Voltage Cable Lines

2020

In this article, the authors discuss a simulation model to study the effect of cross-bonding of metallic sheaths, and/or nonmagnetic armors, of single-core medium- and high-voltage cables in the same circuit. In single-core cables, the resistive losses due to the induced circulating currents in cable sheaths or armors cause an increase of the cable temperature, which therefore reduces its ampacity. This is a serious issue affecting the distribution and transmission lines. In addition, the risk of electric shock due to induced voltages may be present if a person is in contact with the armor/sheath at its unbounded end. For these reasons, special bonding techniques of metal sheaths are employ…

cross-bondingsheath currentsResistive touchscreenMaterials scienceElectric shock020209 energy020208 electrical & electronic engineeringHigh-voltage cable02 engineering and technologyMechanicsmedicine.diseaseIndustrial and Manufacturing EngineeringLine (electrical engineering)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectric power transmissioncablesControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringmedicineAmpacityAmpacityElectrical and Electronic EngineeringElectrical conductorVoltage
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Crystal structure of the diglycidyl ether of eugenol

2017

The diep­oxy monomer (DGE-Eu) was synthesized from eugenol by a three-step reaction. It consists of a 1,2,4-tris­ubstituted benzene ring substituted by diglycidyl ether, a meth­oxy group and a methyl­oxirane group. The three-membered oxirane rings are inclined to the benzene ring by 61.0 (3) and 27.9 (3)°. In the crystal, mol­ecules are linked by C—H⋯O hydrogen bonds, forming layers parallel to the ab plane.

crystal structureDiglycidyl etherEpoxideep­oxy thermoset prepolymer02 engineering and technologyCrystal structure010402 general chemistryRing (chemistry)01 natural scienceseugenol derivativeResearch CommunicationsCrystalchemistry.chemical_compound[ CHIM.CRIS ] Chemical Sciences/CristallographyPolymer chemistry[CHIM.CRIS]Chemical Sciences/Cristallography[CHIM]Chemical SciencesGeneral Materials Science[CHIM.CRIS] Chemical Sciences/CristallographyBenzeneComputingMilieux_MISCELLANEOUSbio-based mol­eculebio-based moleculeCrystallographyHydrogen bondGeneral Chemistry[PHYS.MECA]Physics [physics]/Mechanics [physics]021001 nanoscience & nanotechnologyCondensed Matter Physicshydrogen bonding3. Good health0104 chemical sciencesCrystallographyMonomerchemistryQD901-999oxiraneepoxy thermoset prepolymer[PHYS.MECA] Physics [physics]/Mechanics [physics]0210 nano-technology
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Diethyl (1-benzyl-4-phenyl-3-trifluoromethyl-1H-pyrrol-2-yl)phosphonate

2017

In the title compound, C22H23F3NO3P, the dihedral angles between the pyrrole ring and the benzyl and phenyl rings are 81.38 (7) and 46.21 (8)°, respectively. The ethyl phosphate groups present with P—O—C—C torsion angles of −178.47 (10) and 106.72 (16)°, and an intramolecular C—H...O hydrogen bond occurs. In the extended structure, molecules are linked by C—H...O and C—H...F hydrogen bonds to generate [001] chains.

crystal structurefluorinated heterocycles010405 organic chemistryHydrogen bondChemistryTorsion (mechanics)Crystal structureDihedral angle010403 inorganic & nuclear chemistry01 natural sciences0104 chemical scienceschemistry.chemical_compoundCrystallographyphosphonyl grouplcsh:QD901-999lcsh:CrystallographyEthyl phosphatePyrroleIUCrData
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Comparative Surface Morphology, Chemical Composition, and Cytocompatibility of Bio-C Repair, Biodentine, and ProRoot MTA on hDPCs

2020

Biocompatibility is an essential property for any vital pulp material that may interact with the dental pulp tissues. Accordingly, this study aimed to compare the chemical composition and ultrastructural morphology of Biodentine (Septodont, Saint Maur-des-Fosses, France), ProRoot MTA (Dentsply Tulsa Dental Specialties, Johnson City, TN, USA), and Bio-C Repair (Angelus, Londrina, PR, Brazil), as well as their biological effects on human dental pulp cells. Chemical element characterization of the materials was undertaken using scanning electron microscopy and energy dispersive X-ray analysis (SEM-EDX). The cytotoxicity was assessed by analyzing the cell viability (MTT assay), cell morphology …

cytocompatibilityBiocompatibilityvital pulp materialschemistry.chemical_element02 engineering and technologyCalciumCell morphologylcsh:TechnologyArticleFlow cytometry03 medical and health sciences0302 clinical medicinestomatognathic systemdental pulp cellsmedicineGeneral Materials ScienceMTT assayViability assaycalcium silicate materialsCytotoxicitylcsh:Microscopylcsh:QC120-168.85calcium silicate materialmedicine.diagnostic_testlcsh:QH201-278.5Chemistrylcsh:Tdental pulp cell030206 dentistry021001 nanoscience & nanotechnologystomatognathic diseasesendodonticlcsh:TA1-2040Pulp (tooth)lcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineering0210 nano-technologylcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Nuclear chemistryMaterials
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A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem

2017

A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed

data-driven optimizationPareto optimalityEngineeringBlast furnaceMathematical optimizationOptimization problemmodel managementblast furnaceEvolutionary algorithm02 engineering and technologyMulti-objective optimizationIndustrial and Manufacturing Engineering020501 mining & metallurgyData-drivenironmakingoptimointi0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceta113business.industrypareto-tehokkuusMechanical EngineeringProcess (computing)metamodelingMetamodeling0205 materials engineeringmulti-objective optimizationMechanics of MaterialsPrincipal component analysis020201 artificial intelligence & image processingbusinessrautateollisuus
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Mechanical Detection of the De Haas–van Alphen Effect in Graphene

2022

Funding Information: We thank V. Falko, M. Kumar, and S. Paraoanu for useful discussions. This work was supported by the Academy of Finland projects 314448 (BOLOSE) and 336813 (CoE, Quantum Technology Finland) as well as by ERC (grant no. 670743). The research leading to these results has received funding from the European Unions Horizon 2020 Research and Innovation Programme, under Grant Agreement no 824109, and the experimental work benefited from the Aalto University OtaNano/LTL infrastructure. A.L. is grateful to Osk. Huttunen foundation for a scholarship. J.M. thanks the Väisälä Foundation of the Finnish Academy of Science and Letters for support. F.M. acknowledges financial support fr…

de Haas-van Alphen effectde Haas−van Alphen effectMechanical EngineeringgraphenegrafeeniGeneral Materials ScienceBioengineeringGeneral ChemistryCondensed Matter PhysicsCorbino geometrynanomechanicsNano Letters
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