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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 science - 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 online resource (314 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accuracy levels
aeroacoustics archiving strategy artificial neural networks (ANN) limited training data Automatic Voltage Regulation system availability bankruptcy problem beam improvements beam T-junctions models Chaotic optimization classification control design differential evolution distance-based diversity control encoding evolutionary algorithm evolutionary algorithms evolutionary optimization experimental study finite elements analysis Fractional Order Proportional-Integral-Derivative controller genetic algorithm genetic programming global optimisation global optimization Gough-Stewart launchers machine learning machine vision min-max optimization mono and multi-objective optimization multi-objective decision-making multi-objective evolutionary algorithms multi-objective optimisation multi-objective optimization mutation-selection nearly optimal solutions neural networks non-linear parametric identification optimal control optimal design parallel manipulator parameter optimization Pareto front performance metrics plastics thermoforming preference in multi-objective optimization preventive maintenance scheduling quality control real application reusable launch vehicle robust robust design roughness measurement sheet thickness distribution space systems spaceplanes surrogate T-junctions trailing-edge noise trajectory optimisation two-stage method uncertainty quantification unscented transformation worst-case scenario Yellow Saddle Goatfish Algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486903321 |
Greiner David
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| 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 | ||
| ||