Info
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / / edited by David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou, Gabriel Winter
| Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / / edited by David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou, Gabriel Winter |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (511 p.) |
| Disciplina | 005.1 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Engineering design
Mechanics Mechanics, Applied Computer mathematics Mathematical optimization Engineering Design Theoretical and Applied Mechanics Computational Science and Engineering Optimization |
| ISBN | 3-319-11541-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Part 1: Theoretical and Numerical Methods and Tools for Optimization -- 1.1 Theoretical Methods and Tools -- 1.1.1 Multi-Objective Evolutionary Algorithms in Real-World Applications: Some Recent Results and Current Challenges, by Carlos A. Coello Coello -- 1.1.2 Hybrid Optimization Algorithms and Hybrid Response Surfaces, by George S. Dulikravich and Marcelo J. Colaco -- 1.1.3 A genetic algorithm for a sensor device location problem, by Egidio D'Amato, Elia Daniele and Lina Mallozzi -- 1.1.4 The Role of Artificial Neural Networks in Evolutionary Optimization: A Review, by Mustapha Maarouf, Adriel Sosa, Blas Galván, David Greiner, Gabriel Winter, Máximo Mendez and Ricardo Aguasca -- 1.1.5 Reliability-based Design Optimization with the Generalized Inverse Distribution Function, by Domenico Quagliarella, Giovanni Petrone and Gianluca Iaccarino -- 1.2 Numerical Methods and Tools -- 1.2.1 On the choice of surrogates for multilevel aircraft performance models, by Manon Bondouy, Sophie Jan, Serge Laporte and Christian Bes -- 1.2.2 Multi-objective design optimization using high-order statistics for CFD applications, by Pietro M. Congedo, Gianluca Geraci, Remi Abgrall and Gianluca Iaccarino -- 1.2.3 Extension of the One-Shot Method for Optimal Control with Unsteady PDEs, by Stefanie Gunther, Nicolas R. Gauger and Qiqi Wang -- 1.2.4 Adaptive Aerodynamic Design Optimization for Navier-Stokes using Shape Derivatives with Discontinuous Galerkin Methods, by Lena Kaland, Matthias Sonntag and Nicolas R. Gauger -- 1.2.5 Optimal Flow Control and Topology Optimization Using the Continuous Adjoint Method in Unsteady Flows, by Ioannis S. Kavvadias, George K. Karpouzas, Evangelos M. Paoutsis-Kiachagias, Dimitris I. Papadimitrou and Kyriakos C. Giannakoglou -- Part 2: Engineering Design and Societal Applications -- 2.1 Turbomachinery -- 2.1.1 Design optimization of the Primary Pump of a Nuclear Reactor, by Tom Verstraete and Lasse Mueller -- 2.1.2 Direct 3D Aerodynamic Optimization of Turbine Blades with GPU-accelerated CFD, by Philipp Amtsfeld, Dieter Bestle and Marcus Meyer -- 2.1.3 Evaluation of Surrogate Modelling Methods for Turbo-Machinery Component Design Optimization, by Gianluca Badjan, Carlo Poloni, Andrew Pike and Nadir Ince -- 2.1.4 Robust Aerodynamic Design Optimization of Horizontal Axis Wind Turbine Rotors, by Marco Caboni, Edmondo Minisci and Michele Sergio Campobaso -- 2.1.5 Horizontal axis hydroturbine shroud airfoil optimization, by Elia Daniele, Elios Ferrauto and Domenico P. Coiro -- 2.1.6 Parametric Blending and FE-Optimization of a Compressor Blisk Test Case, by Kai Karger and Dieter Bestle -- 2.1.7 Modular Automated Aerodynamic Compressor Design Process, by Fiete Poehlmann, Dieter Bestle, Peter Flassig and Michèl Hinz -- 2.1.8 Design-Optimization of a Compressor Blading on a GPU Cluster, by Konstantinos T. Tsiakas, Xenofon S. Trompoukis, Varvara G. Asouti and Kyriakos C. Giannakoglou -- 2.2 Structures, Materials and Civil Engineering -- 2.2.1 Immune and Swarm Optimization of Structures, by Tadeusz Burczyński, Arkadiusz Poteralski and Miroslaw Szczepanik -- 2.2.2 Investigation of three genotypes for mixed variable evolutionary optimization, by Rajan Filomeno Coelho, Manyu Xiao, Aurore Guglielmetti, Manuel Herrera and Weihong Zhang -- 2.2.3 A Study of Nash-Evolutionary Algorithms for Reconstruction Inverse Problems in Structural Engineering, by David Greiner, Jacques Périaux, José María Emperador, Blas Galván and Gabriel Winter -- 2.2.4 A comparative study on design optimization of polygonal and Bézier curve-shaped thin noise barriers using dual BEMformulation, by Rayco Toledo, Juan J. Aznárez, Orlando Maeso and David Greiner -- 2.2.5 A Discrete Adjoint Approach For Trailing-Edge Noise Minimization using Porous Material, by Beckett Y. Zhou, Nicolas R. Gauger, Seong R. Koh and Wolfgang Schröder -- 2.3 Aeronautics and Astronautics -- 2.3.1 Conceptual Design of Single-Stage Launch Vehicle with Hybrid Rocket Engine Using Design Informatics, by Kazuhisa Chiba, Masahiro Kanazaki, Koki Kitagawa and Toru Shimada -- 2.3.2 Robust optimization of a helicopter rotor airfoil using multifidelity approach, by Francesca Fusi, Pietro Marco Congedo, Alberto Guardone and Giuseppe Quaranta -- 2.3.3 Computational results for flight test points distribution in the flight envelope, by Lina Mallozzi, Pierluigi De Paolis, Gabriele Di Francesco and Alessandro D'Argenio -- 2.3.4 Optimal Separation Control on the Flap of a 2D High-Lift Configuration, by Anil Nemili, Emre Ozkaya, Nicolas Gauger, Felix Kramer and Frank Thiele -- 2.4 Societal Applications -- 2.4.1 New Challenges and opportunities in reliability and risk based optimization, by Sebastián Martorell, Maryory Villamizar, Isabel Martón, Ana Sánchez and Sofía Carlos -- 2.4.2 Bi-objective Discrete PSO for Service-oriented VRPTW, by Julio Brito, Airam Expósito and José A. Moreno-Pérez -- 2.4.3 An approach for the evaluation of risk impact of changes addressing uncertainties in a Surveillance Requirement optimization context, by Sebastián Martorell, Maryory Villamizar, Isabel Martón, Carmen Armero and Ana Sánchez -- 2.4.4 Scalable Deployment of Efficient Transportation Optimization for SMEs and Public Sector, by Pekka Neittanmäki and Tuukka Puranen -- 2.5 Electrical and Electronical Applications -- 2.5.1 Estimation of the Electricity Demand of La Palma Island (Spain), by Begoña González, Antonio Pulido, Miguel Martínez and Gabriel Winter -- 2.5.2 Optimization of the Dimensionless Model of an Electrostatic Microswitch Based on AMGA Algorithm, by Jorge Santana-Cabrera, José Miguel Monzón-Verona, Francisco Jorge Santana-Martín, Santiago García-Alonso and Juan Antonio Montiel-Nelson -- 2.5.3 Generation of New Detection Codes for GPS Satellites Using NSGA-II, by Javier Sosa, Tomás Bautista, Daniel Alcaraz, Santiago García-Alonso and Juan A. Montiel-Nelson -- Author Index . |
| Record Nr. | UNINA-9910299856703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management / / edited by Jorge Magalhães-Mendes, David Greiner
| Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management / / edited by Jorge Magalhães-Mendes, David Greiner |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (132 p.) |
| Disciplina | 620 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Civil engineering
Mechanics Mechanics, Applied Computational intelligence Civil Engineering Solid Mechanics Computational Intelligence |
| ISBN | 3-319-20406-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On-line metamodel-assisted optimization with mixed variables -- Comparing the fully stressed design and the minimum constrained weight solutions in truss structures -- Multiobjective optimization of time-cost using a multi-mode genetic algorithm -- On efficiency increase of evolutionary algorithms for large non-linear constrained optimization problems with applications to mechanics -- Lightweight optimization for additive manufacturing parts based on genetic algorithms, metamodels and infinite element analysis.-Calibration of dynamic models of railway bridges based on genetic algorithms -- A procedure for improving the acoustic efficiency of top-edge devices on noise barriers: an application of genetic algorithms and boundary elements. |
| Record Nr. | UNINA-9910299841303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary Algorithms in Engineering Design Optimization
| Evolutionary Algorithms in Engineering Design Optimization |
| Autore | Greiner David |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
Automatic Voltage Regulation system
Chaotic optimization Fractional Order Proportional-Integral-Derivative controller Yellow Saddle Goatfish Algorithm two-stage method mono and multi-objective optimization multi-objective optimization optimal design Gough–Stewart parallel manipulator performance metrics diversity control genetic algorithm bankruptcy problem classification T-junctions neural networks finite elements analysis surrogate beam improvements beam T-junctions models artificial neural networks (ANN) limited training data multi-objective decision-making Pareto front preference in multi-objective optimization aeroacoustics trailing-edge noise global optimization evolutionary algorithms nearly optimal solutions archiving strategy evolutionary algorithm non-linear parametric identification multi-objective evolutionary algorithms availability design preventive maintenance scheduling encoding accuracy levels plastics thermoforming sheet thickness distribution evolutionary optimization genetic programming control differential evolution reusable launch vehicle quality control roughness measurement machine vision machine learning parameter optimization distance-based mutation-selection real application experimental study global optimisation worst-case scenario robust min-max optimization optimal control multi-objective optimisation robust design trajectory optimisation uncertainty quantification unscented transformation spaceplanes space systems launchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486903321 |
Greiner David
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Numerical simulation in physics and engineering, trends and applications : lecture notes of the XVIII 'Jacques-Louis Lions' Spanish-French School / / edited by David Greiner, María Isabel Asensio, and Rafael Montenegro
| Numerical simulation in physics and engineering, trends and applications : lecture notes of the XVIII 'Jacques-Louis Lions' Spanish-French School / / edited by David Greiner, María Isabel Asensio, and Rafael Montenegro |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (197 pages) : illustrations |
| Disciplina | 551.48 |
| Collana | SEMA SIMAI Springer |
| Soggetto topico |
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics Models matemàtics |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-62543-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- An Introduction to Quasi-Static Aeroelasticity -- 1 Introduction -- 2 The Collapse of Tacoma Narrows Bridge -- 2.1 What Has Been Observed -- 2.2 The Strouhal Instability -- 2.3 The Resonance of a Bridge -- 2.4 The Buffting Phenomenon -- 2.5 Flutter Induced by a Coupling Between Two Eigenmodes -- 2.5.1 A Short Description of Flutter Phenomenon -- 2.5.2 Linear Stability Analysis -- 2.5.3 Discussion on the Apparition of the Flutter (Roots in λ Are Real or Complex Conjugate) -- 2.5.4 Graphic Interpretation of the Flutter -- 2.5.5 Discussion of the Flutter Phenomenon for the Tacoma Narrows Bridge -- 2.6 The Galloping of the Bridge and the Stall Flutter Phenomenon -- 2.7 Letter from W.P. Rodden to R. Scanlan About Tacoma -- 2.8 Answer from R. Scanlan to W.P. Rodden About Tacoma -- 2.9 The Stall Flutter Phenomenon in the Torsion of the Bridge -- 3 Generalization of the Apparent Wind Method -- 4 Assembly of Several Rigid Structures -- 5 Control Strategy for the Full System -- 5.1 The Cooperative Strategy -- 5.2 How to Compute the Limit of the Optimal Control When 0 -- 5.3 The Non-cooperative Strategy -- 5.3.1 Existence (and Uniqueness) of an Exact Decentralized Control with Coordination -- 5.4 A Coordination Algorithm for the Decentralized Control -- 6 Limit Cycle of Oscillations -- 6.1 Definition of a Limit Cycle of Oscillations -- 6.2 Localisation of Limit Cycles of Oscillations -- 6.3 How to Find Invariant Sets? -- 7 Computation of the Limit Cycle -- 7.1 Canonical Formulation for (98) -- 7.2 Second Step: Elimination of Second Order Terms -- 7.3 Partial Elimination of Terms of Order 3 -- 8 The Stall Flutter of a Model in a Wind Tunnel -- 8.1 The Measures from the Wind Tunnel -- 8.2 The Simple Mathematical Model Used -- 9 About the Added Mass Method -- 10 Conclusion -- References.
Computational Treatment of Interface Dynamics via Phase-Field Modeling -- 1 Introduction -- 1.1 Interface Dynamics in Computational Mechanics and the Phase-Field Method -- 1.2 Notational Conventions -- 2 Derivation of Phase-Field Models via Diffusification -- 2.1 A Classical Moving Boundary Problem for Solidification of Pure Materials -- 2.2 The Basis of Diffusification -- 2.3 The Phase-Field Model for Solidification -- 2.4 The Diffuse-Interface Transition Profile: Asymptotic Analysis -- 3 General Framework of Thermomechanics and Energy Dissipation for Phase-Field Models -- 3.1 The Idea Behind Thermomechanically-Consistent Phase-Field Modeling -- 3.2 Allen-Cahn and Cahn-Hilliard -- 3.2.1 Allen-Cahn Equation -- 3.2.2 Cahn-Hilliard Equation -- 3.3 Navier-Stokes-Cahn-Hilliard -- 4 The Diffuse Domain Approach -- 4.1 Derivation of a Diffuse Domain Model for a Standard Convection-Diffusion Problem -- 4.2 Diffuse Domain Method for Problems Posed on Evolving Surfaces -- 5 Numerical Examples -- 5.1 Solidification Model -- 5.2 Cahn-Hilliard Equation -- 5.3 Diffuse Domain Model -- References -- Consistent Internal Energy Based Schemes for the Compressible Euler Equations -- 1 Introduction -- 2 Derivation of the Numerical Schemes -- 2.1 A Basic Result on Convection Operators -- 2.2 Internal Energy Formulation -- 2.3 The Time Semi-discrete Pressure Correction Scheme -- 2.4 The Fully Discrete Pressure Correction Scheme -- 2.5 A Segregated Variant -- 2.6 A Numerical Test -- 3 Entropy -- 3.1 Meshes and Discrete Norms -- 3.2 Implicit Schemes -- 3.3 Explicit Schemes -- References -- Comparison and Analysis of Natural Laminar Flow Airfoil Shape Optimization Results at Transonic Regime with Bumps and Trailing Edge Devices Solved by Pareto Games and EAs -- 1 Introduction -- 2 NLF Airfoil Shape Design Optimization with Bump and TED Devices for Shock Wave Control. 3 Comparison and Analysis of Optimization Results Using SCB and TED -- 3.1 Comparison and Analysis of Results: Advantages and Drawbacks of SCB and TED Devices -- 3.1.1 Comparing Efficiency of SCB Technology Versus TED Technology -- 3.1.2 Comparing the Design Quality Level of SCB Technology and TED Technology -- 3.2 Extension to the 3-D NLF Wing Design Optimization with 3-D SCB/TED Devices -- 4 Conclusion and Perspectives -- References -- Time-Parallel Algorithm for Two Phase Flows Simulation -- 1 Introduction -- 2 Model -- 2.1 Numerical Method -- 3 The Parareal Algorithm -- 3.1 Original Parareal Algorithm -- 3.2 Multistep Variant of Parareal -- 4 Test Case -- 4.1 About the Convergence -- 4.2 Speed-Up Performances -- 5 Conclusion -- References -- Modelling of Bedload Sediment Transport for Weak and Strong Regimes -- 1 Introduction -- 2 Proposed Model -- 2.1 Convergence to the Classical SVE System for Weak Regimes -- 2.2 Energy Balance -- References. |
| Record Nr. | UNISA-996466552803316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Numerical simulation in physics and engineering, trends and applications : lecture notes of the XVIII 'Jacques-Louis Lions' Spanish-French School / / edited by David Greiner, María Isabel Asensio, and Rafael Montenegro
| Numerical simulation in physics and engineering, trends and applications : lecture notes of the XVIII 'Jacques-Louis Lions' Spanish-French School / / edited by David Greiner, María Isabel Asensio, and Rafael Montenegro |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (197 pages) : illustrations |
| Disciplina | 551.48 |
| Collana | SEMA SIMAI Springer |
| Soggetto topico |
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics Models matemàtics |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-62543-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- An Introduction to Quasi-Static Aeroelasticity -- 1 Introduction -- 2 The Collapse of Tacoma Narrows Bridge -- 2.1 What Has Been Observed -- 2.2 The Strouhal Instability -- 2.3 The Resonance of a Bridge -- 2.4 The Buffting Phenomenon -- 2.5 Flutter Induced by a Coupling Between Two Eigenmodes -- 2.5.1 A Short Description of Flutter Phenomenon -- 2.5.2 Linear Stability Analysis -- 2.5.3 Discussion on the Apparition of the Flutter (Roots in λ Are Real or Complex Conjugate) -- 2.5.4 Graphic Interpretation of the Flutter -- 2.5.5 Discussion of the Flutter Phenomenon for the Tacoma Narrows Bridge -- 2.6 The Galloping of the Bridge and the Stall Flutter Phenomenon -- 2.7 Letter from W.P. Rodden to R. Scanlan About Tacoma -- 2.8 Answer from R. Scanlan to W.P. Rodden About Tacoma -- 2.9 The Stall Flutter Phenomenon in the Torsion of the Bridge -- 3 Generalization of the Apparent Wind Method -- 4 Assembly of Several Rigid Structures -- 5 Control Strategy for the Full System -- 5.1 The Cooperative Strategy -- 5.2 How to Compute the Limit of the Optimal Control When 0 -- 5.3 The Non-cooperative Strategy -- 5.3.1 Existence (and Uniqueness) of an Exact Decentralized Control with Coordination -- 5.4 A Coordination Algorithm for the Decentralized Control -- 6 Limit Cycle of Oscillations -- 6.1 Definition of a Limit Cycle of Oscillations -- 6.2 Localisation of Limit Cycles of Oscillations -- 6.3 How to Find Invariant Sets? -- 7 Computation of the Limit Cycle -- 7.1 Canonical Formulation for (98) -- 7.2 Second Step: Elimination of Second Order Terms -- 7.3 Partial Elimination of Terms of Order 3 -- 8 The Stall Flutter of a Model in a Wind Tunnel -- 8.1 The Measures from the Wind Tunnel -- 8.2 The Simple Mathematical Model Used -- 9 About the Added Mass Method -- 10 Conclusion -- References.
Computational Treatment of Interface Dynamics via Phase-Field Modeling -- 1 Introduction -- 1.1 Interface Dynamics in Computational Mechanics and the Phase-Field Method -- 1.2 Notational Conventions -- 2 Derivation of Phase-Field Models via Diffusification -- 2.1 A Classical Moving Boundary Problem for Solidification of Pure Materials -- 2.2 The Basis of Diffusification -- 2.3 The Phase-Field Model for Solidification -- 2.4 The Diffuse-Interface Transition Profile: Asymptotic Analysis -- 3 General Framework of Thermomechanics and Energy Dissipation for Phase-Field Models -- 3.1 The Idea Behind Thermomechanically-Consistent Phase-Field Modeling -- 3.2 Allen-Cahn and Cahn-Hilliard -- 3.2.1 Allen-Cahn Equation -- 3.2.2 Cahn-Hilliard Equation -- 3.3 Navier-Stokes-Cahn-Hilliard -- 4 The Diffuse Domain Approach -- 4.1 Derivation of a Diffuse Domain Model for a Standard Convection-Diffusion Problem -- 4.2 Diffuse Domain Method for Problems Posed on Evolving Surfaces -- 5 Numerical Examples -- 5.1 Solidification Model -- 5.2 Cahn-Hilliard Equation -- 5.3 Diffuse Domain Model -- References -- Consistent Internal Energy Based Schemes for the Compressible Euler Equations -- 1 Introduction -- 2 Derivation of the Numerical Schemes -- 2.1 A Basic Result on Convection Operators -- 2.2 Internal Energy Formulation -- 2.3 The Time Semi-discrete Pressure Correction Scheme -- 2.4 The Fully Discrete Pressure Correction Scheme -- 2.5 A Segregated Variant -- 2.6 A Numerical Test -- 3 Entropy -- 3.1 Meshes and Discrete Norms -- 3.2 Implicit Schemes -- 3.3 Explicit Schemes -- References -- Comparison and Analysis of Natural Laminar Flow Airfoil Shape Optimization Results at Transonic Regime with Bumps and Trailing Edge Devices Solved by Pareto Games and EAs -- 1 Introduction -- 2 NLF Airfoil Shape Design Optimization with Bump and TED Devices for Shock Wave Control. 3 Comparison and Analysis of Optimization Results Using SCB and TED -- 3.1 Comparison and Analysis of Results: Advantages and Drawbacks of SCB and TED Devices -- 3.1.1 Comparing Efficiency of SCB Technology Versus TED Technology -- 3.1.2 Comparing the Design Quality Level of SCB Technology and TED Technology -- 3.2 Extension to the 3-D NLF Wing Design Optimization with 3-D SCB/TED Devices -- 4 Conclusion and Perspectives -- References -- Time-Parallel Algorithm for Two Phase Flows Simulation -- 1 Introduction -- 2 Model -- 2.1 Numerical Method -- 3 The Parareal Algorithm -- 3.1 Original Parareal Algorithm -- 3.2 Multistep Variant of Parareal -- 4 Test Case -- 4.1 About the Convergence -- 4.2 Speed-Up Performances -- 5 Conclusion -- References -- Modelling of Bedload Sediment Transport for Weak and Strong Regimes -- 1 Introduction -- 2 Proposed Model -- 2.1 Convergence to the Classical SVE System for Weak Regimes -- 2.2 Energy Balance -- References. |
| Record Nr. | UNINA-9910484465103321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||