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1. |
Record Nr. |
UNINA9910132498003321 |
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Autore |
Matuttis Hans-Georg |
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Titolo |
Understanding the discrete element method : simulation of non-spherical particles for granular and multi-body systems / / Hans-Georg Matuttis, Jian Chen |
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Pubbl/distr/stampa |
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Singapore : , : Wiley, , 2014 |
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©2014 |
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ISBN |
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1-118-56728-5 |
1-118-56722-6 |
1-118-56721-8 |
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Descrizione fisica |
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1 online resource (480 p.) |
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Disciplina |
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Soggetti |
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Granular flow |
Discrete element method |
Multibody systems |
Mechanics, Applied - Computer simulation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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UNDERSTANDING THE DISCRETE ELEMENT METHOD SIMULATION OF NON-SPHERICAL PARTICLES FOR GRANULARAND MULTI-BODY SYSTEMS; Copright; Contents; Exercises; About the Authors; Preface; Acknowledgements; List of Abbreviations; 1 Mechanics; 1.1 Degrees of freedom; 1.1.1 Particle mechanics and constraints; 1.1.2 From point particles to rigid bodies; 1.1.3 More context and terminology; 1.2 Dynamics of rectilinear degrees of freedom; 1.3 Dynamics of angular degrees of freedom; 1.3.1 Rotation in two dimensions; 1.3.2 Moment of inertia; 1.3.3 From two to three dimensions |
1.3.4 Rotation matrix in three dimensions1.3.5 Three-dimensional moments of inertia; 1.3.6 Space-fixed and body-fixed coordinate systems andequations of motion; 1.3.7 Problems with Euler angles; 1.3.8 Rotations represented using complex numbers; 1.3.9 Quaternions; 1.3.10 Derivation of quaternion dynamics; 1.4 The phase space; 1.4.1 Qualitative discussion of the time dependence of linear |
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oscillations; 1.4.2 Resonance; 1.4.3 The flow in phase space; 1.5 Nonlinearities; 1.5.1 Harmonic balance; 1.5.2 Resonance in nonlinear systems; 1.5.3 Higher harmonics and frequency mixing |
1.5.4 The van der Pol oscillator1.6 From higher harmonics to chaos; 1.6.1 The bifurcation cascade; 1.6.2 The nonlinear frictional oscillator and Poincar ́e maps; 1.6.3 The route to chaos; 1.6.4 Boundary conditions and many-particle systems; 1.7 Stability and conservationlaws; 1.7.1 Stability in statics; 1.7.2 Stability in dynamics; 1.7.3 Stable axes of rotation around the principal axis; 1.7.4 Noether's theorem and conservation laws; 1.8 Further reading; Exercises; References; 2Numerical Integration of OrdinaryDifferential Equations; 2.1 Fundamentals of numerical analysis |
2.1.1 Floating point numbers2.1.2 Big-O notation; 2.1.3 Relative and absolute error; 2.1.4 Truncation error; 2.1.5 Local and global error; 2.1.6 Stability; 2.1.7 Stable integrators for unstable problems; 2.2 Numerical analysis for ordinary differential equations; 2.2.1 Variable notation and transformation of the order of adifferential equation; 2.2.2 Differences in the simulation of atoms and molecules,as compared to macroscopic particles; 2.2.3 Truncation error for solutions of ordinary differential equations; 2.2.4 Fundamental approaches; 2.2.5 Explicit Euler method |
2.2.6 Implicit Euler method2.3 Runge-Kutta methods; 2.3.1 Adaptive step-size control; 2.3.2 Dense output and event location; 2.3.3 Partitioned Runge-Kutta methods; 2.4 Symplectic methods; 2.4.1 The classical Verlet method; 2.4.2 Velocity-Verlet methods; 2.4.3 Higher-order velocity-Verlet methods; 2.4.4 Pseudo-symplectic methods; 2.4.5 Order, accuracy and energy conservation; 2.4.6 Backward error analysis; 2.4.7 Case study: the harmonic oscillator with andwithout viscous damping; 2.5 Stiff problems; 2.5.1 Evaluating computational costs; 2.5.2 Stiff solutions and error as noise |
2.5.3 Order reduction |
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Sommario/riassunto |
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Gives readers a more thorough understanding of DEM and equips researchers for independent work and an ability to judge methods related to simulation of polygonal particles Introduces DEM from the fundamental concepts (theoretical mechanics and solidstate physics), with 2D and 3D simulation methods for polygonal particlesProvides the fundamentals of coding discrete element method (DEM) requiring little advance knowledge of granular matter or numerical simulationHighlights the numerical tricks and pitfalls that are usually only realized after years o |
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2. |
Record Nr. |
UNINA9910619270703321 |
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Titolo |
Blue Economy : An Ocean Science Perspective / / edited by Edward R. Urban Jr., Venugopalan Ittekkot |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (548 pages) |
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Collana |
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Earth and Environmental Science Series |
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Disciplina |
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Soggetti |
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Oceanography |
Bioclimatology |
Shipping |
Environmental management |
Ocean Sciences |
Climate Change Ecology |
Maritime Economics |
Environmental Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Blue Economy and Ocean Science: Introduction -- Coral Reefs -- Mangroves and Seagrasses -- Coastal Fisheries -- Effects of Groundwater Extraction and River Regulation on Coastal Freshwater Resources -- Marine Tourism and the Blue Economy: Perspectives from the Mascarene and Pacific Islands -- Energy Transition to the Blue Economy: the Role of Science and Technology -- Coastal and Nearshore Minerals: Blue Economy Potential and Prospects -- Coastal Pollution -- Harmful Algae. |
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Sommario/riassunto |
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The ocean is a major source of income for many coastal nations, particularly in the developing world. Economic benefits from the ocean in the long-term depend on its wise science and technology-based management. The intersection of science, technology, and economy are most obvious in nations' coastal zones. This book highlights the need for the application of ocean science and technology for best economic outcomes. It gives examples of ocean resources and the threats to them from climate change and other human interventions, as well as |
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provides information on the available ocean research and observation tools to monitor their impact as well as on the related internationally available opportunities for capacity development. |
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3. |
Record Nr. |
UNICAMPANIAVAN00233821 |
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Titolo |
Computer Modeling and Simulation of Dynamic Systems Using Wolfram SystemModeler / Kirill Rozhdestvensky … [et al.]] |
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Pubbl/distr/stampa |
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Singapore, : Springer, 2020 |
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Titolo uniforme |
Computer Modeling and Simulation of Dynamic Systems Using Wolfram SystemModeler |
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Descrizione fisica |
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xv, 263 p. : ill. ; 24 cm |
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Soggetti |
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37-XX - Dynamical systems and ergodic theory [MSC 2020] |
37M05 - Simulation of dynamical systems [MSC 2020] |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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