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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 electronic resource (156 p.)
Soggetto topico Technology: general issues
Soggetto non controllato plasticity
machine learning
constitutive modeling
manifold learning
topological data analysis
GENERIC
soft living tissues
hyperelasticity
computational modeling
data-driven mechanics
TDA
Code2Vect
nonlinear regression
effective properties
microstructures
model calibration
sensitivity analysis
elasto-visco-plasticity
Gaussian process
high-throughput experimentation
additive manufacturing
Ti-Mn alloys
spherical indentation
statistical analysis
Gaussian process regression
nanoporous metals
open-pore foams
FE-beam model
data mining
mechanical properties
hardness
principal component analysis
structure-property relationship
microcompression
nanoindentation
analytical model
finite element model
artificial neural networks
model correction
feature engineering
physics based
data driven
laser shock peening
residual stresses
data-driven
multiscale
nonlinear
stochastics
neural networks
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 [[electronic resource] ] : A Multi-Scale Approach / / by Christophe Binetruy, Francisco Chinesta, Roland Keunings
Flows in Polymers, Reinforced Polymers and Composites [[electronic resource] ] : 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
Structural materials
Computer 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 [[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-9910841748003321
Chinesta Francisco  
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Separated Representations and PGD-Based Model Reduction [[electronic resource] ] : Fundamentals and Applications / / edited by Francisco Chinesta, Pierre Ladevèze
Separated Representations and PGD-Based Model Reduction [[electronic resource] ] : 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 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 electronic resource (174 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Materials science
Soggetto non controllato graphene nano-powder
thermal nanofluid
rheological behavior
Carreau nanofluid
lubrication effect
Vallejo law
liquid-liquid interface
shear rate
nanoparticles
diffuse interface
phase field method
molecular dynamics
numerical simulation
octree optimization
microstructure generation
domain reconstruction
flow simulation
permeability computing
data-driven model
model order reduction
proper orthogonal decomposition
manifold learning
diffuse approximation
microcapsule suspension
Hausdorff distance
topological data analysis (TDA)
reinforced polymers
concentrated suspensions
flow induced orientation
discrete numerical simulation
steam generator
void fraction
mixture model
porous media approach
reduced-order model
Proper Orthogonal Decomposition (POD)
energy dissipation
interval-pooled stepped spillway
omega identification method
Navier-Stokes equation
singularity
transitional flow
turbulence
Poisson equation
nanoparticle two-phase flow
particle coagulation and breakage
flow around circular cylinders
particle distribution
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