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Empowering Materials Processing and Performance from Data and AI
Empowering Materials Processing and Performance from Data and AI
Autore Chinesta Francisco
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (156 p.)
Soggetto topico Technology: general issues
Soggetto non controllato additive manufacturing
analytical model
artificial neural networks
Code2Vect
computational modeling
constitutive modeling
data driven
data mining
data-driven
data-driven mechanics
effective properties
elasto-visco-plasticity
FE-beam model
feature engineering
finite element model
Gaussian process
Gaussian process regression
GENERIC
hardness
high-throughput experimentation
hyperelasticity
laser shock peening
machine learning
manifold learning
mechanical properties
microcompression
microstructures
model calibration
model correction
multiscale
n/a
nanoindentation
nanoporous metals
neural networks
nonlinear
nonlinear regression
open-pore foams
physics based
plasticity
principal component analysis
residual stresses
sensitivity analysis
soft living tissues
spherical indentation
statistical analysis
stochastics
structure-property relationship
TDA
Ti-Mn alloys
topological data analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557717703321
Chinesta Francisco  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Flows in Polymers, Reinforced Polymers and Composites : A Multi-Scale Approach / / by Christophe Binetruy, Francisco Chinesta, Roland Keunings
Flows in Polymers, Reinforced Polymers and Composites : A Multi-Scale Approach / / by Christophe Binetruy, Francisco Chinesta, Roland Keunings
Autore Binetruy Christophe
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (151 p.)
Disciplina 668.9
Collana SpringerBriefs in Applied Sciences and Technology
Soggetto topico Mechanical engineering
Building materials
Computer science - Mathematics
Polymers
Mechanical Engineering
Structural Materials
Computational Science and Engineering
Polymer Sciences
ISBN 3-319-16757-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- 1 Multi-scale modeling and simulation of polymer flow -- 1.1 Introduction -- 1.2 Macroscopic modeling and simulations -- 1.3 Multi-scale kinetic theory of viscoelastic flow -- 1.4 Micro-macro simulations using the stochastic approach -- 1.5 Micro-macro simulations using the Fokker-Planck approach -- 1.6 The impact of closure approximations -- 1.7 Illustrative examples of complex flow simulations -- 1.8 Discussion -- 1.9 Conclusions -- References -- 2 Complex flows of micro/nano structured fluids: Reinforced polymer composites -- 2.1 Introduction -- 2.2 Dilute and semi-dilute suspensions -- 2.3 Processing flow simulation -- 2.4 Concentrated suspensions involving rod clusters -- 2.5 Advanced topics -- References -- 3 Flows of simple fluids in complex microstructures -- 3.1 Introduction -- 3.2 Description of fibrous microstructures in composites -- 3.3 Governing equations for flows in porous media -- 3.4 Flow of simple fluids in non-deformable fibrous microstructures -- 3.5 Flow of complex fluids in non-deformable fibrous microstructures -- 3.6 Numerical simulation -- References.
Record Nr. UNINA-9910299692803321
Binetruy Christophe  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Natural element method for the simulation of structures and processes [[electronic resource] /] / Francisco Chinesta ... [et al.]
Natural element method for the simulation of structures and processes [[electronic resource] /] / Francisco Chinesta ... [et al.]
Autore Chinesta Francisco
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (255 p.)
Disciplina 624.1/7015118
624.17015118
Altri autori (Persone) ChinestaFrancisco
Collana ISTE
Soggetto topico Materials - Mechanical properties - Mathematical models
Numerical analysis
Numbers, Natural
Soggetto genere / forma Electronic books.
ISBN 1-118-61690-1
1-299-31421-X
1-118-61668-5
Classificazione MAT003000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Natural Element Method for the Simulation of Structures and Processes; Title Page; Copyright Page; Table of Contents; Foreword; Acknowledgements; Chapter 1. Introduction; 1.1. SPH method; 1.2. RKPM method; 1.2.1. Conditions of reproduction; 1.2.2. Correction of the kernel; 1.2.3. Discrete form of the approximation; 1.3. MLS based approximations; 1.4. Final note; Chapter 2. Basics of the Natural Element Method; 2.1. Introduction; 2.2. Natural neighbor Galerkin methods; 2.2.1. Interpolation of natural neighbors; 2.2.2. Discretization
2.2.3. Properties of the interpolant based on natural neighbors2.3. Exact imposition of the essential boundary conditions; 2.3.1. Introduction to alpha shapes; 2.3.2. CNEM approaches; 2.4. Mixed approximations of natural neighbor type; 2.4.1. Considering the restriction of incompressibility; 2.4.2. Mixed approximations in the Galerkin method; 2.4.3. Natural neighbor partition of unity; 2.4.3.1. Partition of unity method; 2.4.3.2. Enrichment of the natural neighbor interpolants; 2.5. High order natural neighbor interpolants; 2.5.1. Hiyoshi-Sugihara interpolant
2.5.2. The De Boor algorithm for B-splines2.5.3. B-spline surfaces and natural neighboring; 2.5.3.1. Some definitions; 2.5.3.2. Surface properties; 2.5.3.3. The case of repeated nodes; Chapter 3. Numerical Aspects; 3.1. Searching for natural neighbors; 3.2. Calculation of NEM shape functions of the Sibson type; 3.2.1. Stage-1: insertion of point x in the existing constrained Voronoi diagram(CVD); 3.2.1.1. Look for a tetrahedron which contains point x; 3.2.1.2. Note concerning the problem of flat tetrahedrons; 3.2.2. Stage-2: calculation of the volume measurement common to ćx and cv
3.2.2.1. By the recursive Lasserre algorithm3.2.2.2. By means of a complementary volume; 3.2.2.3. By topological approach based on the CVD; 3.2.2.4. By topological approach based on the Constrained Delaunay tetrahedization(CDT); 3.2.2.5. Using the Watson algorithm; 3.2.3. Comparative test of the various algorithms; 3.3. Numerical integration; 3.3.1. Decomposition of shape function supports; 3.3.2. Stabilized nodal integration; 3.3.3. Discussion in connection with various quadratures; 3.3.3.1. 2D patch test with a technique of decomposition of shape function supports
3.3.3.2. 2D patch test with stabilized nodal integration3.3.3.3. 3D patch tests; 3.4. NEM on an octree structure; 3.4.1. Structure of the data; 3.4.1.1. Description of the geometry; 3.4.1.2. Interpolation on a quadtree; 3.4.1.3. Numerical integration; 3.4.2. Application of the boundary conditions - interface conditions; 3.4.2.1. Dirichlet-type boundary conditions: use of R-functions; 3.4.2.2. Neumann-type boundary conditions; 3.4.2.3. Partition of unity method; Chapter 4. Applications in the Mechanics of Structures and Processes; 4.1. Two- and three-dimensional elasticity
4.2. Indicators and estimators of error: adaptivity
Record Nr. UNINA-9910139056503321
Chinesta Francisco  
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Natural element method for the simulation of structures and processes [[electronic resource] /] / Francisco Chinesta ... [et al.]
Natural element method for the simulation of structures and processes [[electronic resource] /] / Francisco Chinesta ... [et al.]
Autore Chinesta Francisco
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (255 p.)
Disciplina 624.1/7015118
624.17015118
Altri autori (Persone) ChinestaFrancisco
Collana ISTE
Soggetto topico Materials - Mechanical properties - Mathematical models
Numerical analysis
Numbers, Natural
ISBN 1-118-61690-1
1-299-31421-X
1-118-61668-5
Classificazione MAT003000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Natural Element Method for the Simulation of Structures and Processes; Title Page; Copyright Page; Table of Contents; Foreword; Acknowledgements; Chapter 1. Introduction; 1.1. SPH method; 1.2. RKPM method; 1.2.1. Conditions of reproduction; 1.2.2. Correction of the kernel; 1.2.3. Discrete form of the approximation; 1.3. MLS based approximations; 1.4. Final note; Chapter 2. Basics of the Natural Element Method; 2.1. Introduction; 2.2. Natural neighbor Galerkin methods; 2.2.1. Interpolation of natural neighbors; 2.2.2. Discretization
2.2.3. Properties of the interpolant based on natural neighbors2.3. Exact imposition of the essential boundary conditions; 2.3.1. Introduction to alpha shapes; 2.3.2. CNEM approaches; 2.4. Mixed approximations of natural neighbor type; 2.4.1. Considering the restriction of incompressibility; 2.4.2. Mixed approximations in the Galerkin method; 2.4.3. Natural neighbor partition of unity; 2.4.3.1. Partition of unity method; 2.4.3.2. Enrichment of the natural neighbor interpolants; 2.5. High order natural neighbor interpolants; 2.5.1. Hiyoshi-Sugihara interpolant
2.5.2. The De Boor algorithm for B-splines2.5.3. B-spline surfaces and natural neighboring; 2.5.3.1. Some definitions; 2.5.3.2. Surface properties; 2.5.3.3. The case of repeated nodes; Chapter 3. Numerical Aspects; 3.1. Searching for natural neighbors; 3.2. Calculation of NEM shape functions of the Sibson type; 3.2.1. Stage-1: insertion of point x in the existing constrained Voronoi diagram(CVD); 3.2.1.1. Look for a tetrahedron which contains point x; 3.2.1.2. Note concerning the problem of flat tetrahedrons; 3.2.2. Stage-2: calculation of the volume measurement common to ćx and cv
3.2.2.1. By the recursive Lasserre algorithm3.2.2.2. By means of a complementary volume; 3.2.2.3. By topological approach based on the CVD; 3.2.2.4. By topological approach based on the Constrained Delaunay tetrahedization(CDT); 3.2.2.5. Using the Watson algorithm; 3.2.3. Comparative test of the various algorithms; 3.3. Numerical integration; 3.3.1. Decomposition of shape function supports; 3.3.2. Stabilized nodal integration; 3.3.3. Discussion in connection with various quadratures; 3.3.3.1. 2D patch test with a technique of decomposition of shape function supports
3.3.3.2. 2D patch test with stabilized nodal integration3.3.3.3. 3D patch tests; 3.4. NEM on an octree structure; 3.4.1. Structure of the data; 3.4.1.1. Description of the geometry; 3.4.1.2. Interpolation on a quadtree; 3.4.1.3. Numerical integration; 3.4.2. Application of the boundary conditions - interface conditions; 3.4.2.1. Dirichlet-type boundary conditions: use of R-functions; 3.4.2.2. Neumann-type boundary conditions; 3.4.2.3. Partition of unity method; Chapter 4. Applications in the Mechanics of Structures and Processes; 4.1. Two- and three-dimensional elasticity
4.2. Indicators and estimators of error: adaptivity
Record Nr. UNINA-9910830394703321
Chinesta Francisco  
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Natural element method for the simulation of structures and processes / / Francisco Chinesta ... [et al.]
Natural element method for the simulation of structures and processes / / Francisco Chinesta ... [et al.]
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (255 p.)
Disciplina 624.1/7015118
Altri autori (Persone) ChinestaFrancisco
Collana ISTE
Soggetto topico Materials - Mechanical properties - Mathematical models
Numerical analysis
Numbers, Natural
ISBN 1-118-61690-1
1-299-31421-X
1-118-61668-5
Classificazione MAT003000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Natural Element Method for the Simulation of Structures and Processes; Title Page; Copyright Page; Table of Contents; Foreword; Acknowledgements; Chapter 1. Introduction; 1.1. SPH method; 1.2. RKPM method; 1.2.1. Conditions of reproduction; 1.2.2. Correction of the kernel; 1.2.3. Discrete form of the approximation; 1.3. MLS based approximations; 1.4. Final note; Chapter 2. Basics of the Natural Element Method; 2.1. Introduction; 2.2. Natural neighbor Galerkin methods; 2.2.1. Interpolation of natural neighbors; 2.2.2. Discretization
2.2.3. Properties of the interpolant based on natural neighbors2.3. Exact imposition of the essential boundary conditions; 2.3.1. Introduction to alpha shapes; 2.3.2. CNEM approaches; 2.4. Mixed approximations of natural neighbor type; 2.4.1. Considering the restriction of incompressibility; 2.4.2. Mixed approximations in the Galerkin method; 2.4.3. Natural neighbor partition of unity; 2.4.3.1. Partition of unity method; 2.4.3.2. Enrichment of the natural neighbor interpolants; 2.5. High order natural neighbor interpolants; 2.5.1. Hiyoshi-Sugihara interpolant
2.5.2. The De Boor algorithm for B-splines2.5.3. B-spline surfaces and natural neighboring; 2.5.3.1. Some definitions; 2.5.3.2. Surface properties; 2.5.3.3. The case of repeated nodes; Chapter 3. Numerical Aspects; 3.1. Searching for natural neighbors; 3.2. Calculation of NEM shape functions of the Sibson type; 3.2.1. Stage-1: insertion of point x in the existing constrained Voronoi diagram(CVD); 3.2.1.1. Look for a tetrahedron which contains point x; 3.2.1.2. Note concerning the problem of flat tetrahedrons; 3.2.2. Stage-2: calculation of the volume measurement common to ćx and cv
3.2.2.1. By the recursive Lasserre algorithm3.2.2.2. By means of a complementary volume; 3.2.2.3. By topological approach based on the CVD; 3.2.2.4. By topological approach based on the Constrained Delaunay tetrahedization(CDT); 3.2.2.5. Using the Watson algorithm; 3.2.3. Comparative test of the various algorithms; 3.3. Numerical integration; 3.3.1. Decomposition of shape function supports; 3.3.2. Stabilized nodal integration; 3.3.3. Discussion in connection with various quadratures; 3.3.3.1. 2D patch test with a technique of decomposition of shape function supports
3.3.3.2. 2D patch test with stabilized nodal integration3.3.3.3. 3D patch tests; 3.4. NEM on an octree structure; 3.4.1. Structure of the data; 3.4.1.1. Description of the geometry; 3.4.1.2. Interpolation on a quadtree; 3.4.1.3. Numerical integration; 3.4.2. Application of the boundary conditions - interface conditions; 3.4.2.1. Dirichlet-type boundary conditions: use of R-functions; 3.4.2.2. Neumann-type boundary conditions; 3.4.2.3. Partition of unity method; Chapter 4. Applications in the Mechanics of Structures and Processes; 4.1. Two- and three-dimensional elasticity
4.2. Indicators and estimators of error: adaptivity
Record Nr. UNINA-9911019414403321
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Separated Representations and PGD-Based Model Reduction : Fundamentals and Applications / / edited by Francisco Chinesta, Pierre Ladevèze
Separated Representations and PGD-Based Model Reduction : Fundamentals and Applications / / edited by Francisco Chinesta, Pierre Ladevèze
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Vienna : , : Springer Vienna : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (234 p.)
Disciplina 004
620
620.00420285
620.1
Collana CISM International Centre for Mechanical Sciences, Courses and Lectures
Soggetto topico Mechanics
Mechanics, Applied
Computer science - Mathematics
Computer-aided engineering
Theoretical and Applied Mechanics
Computational Science and Engineering
Computer-Aided Engineering (CAD, CAE) and Design
ISBN 3-7091-1794-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto From the Contents: Model order reduction based on proper orthogonal decomposition: Model reduction: extracting relevant information -- Interpolation of reduced basis: a geometrical approach -- POD for non-linear models.
Record Nr. UNINA-9910299759903321
Vienna : , : Springer Vienna : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Fluid Dynamics
Statistical Fluid Dynamics
Autore Ammar Amine
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (174 p.)
Soggetto topico History of engineering and technology
Materials science
Technology: general issues
Soggetto non controllato Carreau nanofluid
concentrated suspensions
data-driven model
diffuse approximation
diffuse interface
discrete numerical simulation
domain reconstruction
energy dissipation
flow around circular cylinders
flow induced orientation
flow simulation
graphene nano-powder
Hausdorff distance
interval-pooled stepped spillway
liquid-liquid interface
lubrication effect
manifold learning
microcapsule suspension
microstructure generation
mixture model
model order reduction
molecular dynamics
n/a
nanoparticle two-phase flow
nanoparticles
Navier-Stokes equation
numerical simulation
octree optimization
omega identification method
particle coagulation and breakage
particle distribution
permeability computing
phase field method
Poisson equation
porous media approach
proper orthogonal decomposition
Proper Orthogonal Decomposition (POD)
reduced-order model
reinforced polymers
rheological behavior
shear rate
singularity
steam generator
thermal nanofluid
topological data analysis (TDA)
transitional flow
turbulence
Vallejo law
void fraction
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910585935403321
Ammar Amine  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

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