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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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||
London, : ISTE | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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-9910876846503321 |
London, : ISTE | ||
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Lo trovi qui: Univ. Federico II | ||
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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 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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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