Traffic and granular flow 2019 / / Iker Zuriguel, Angel GarcimartiÌn, RauÌl Cruz Hidalgo, editors |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XXVII, 611 p. 278 illus., 246 illus. in color.) |
Disciplina | 388.41 |
Collana | Springer Proceedings in Physics |
Soggetto topico |
Granular flow
Pedestrian traffic flow Traffic flow |
ISBN | 3-030-55973-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: Pedestrian dynamics -- Chapter 1. Influence of Corridor Width and Motivation on Pedestrians in Front of Bottlenecks -- Chapter 2. The Measurement of Stress at Open-Air Events: Monitoring Emotion and Motion Utilizing Wearable Sensor Technology -- Chapter 3. Smoothing trajectories of people’s heads -- Chapter 4. Influence of Small-Scale Obstacles on Passenger Flows in Railway Stations -- Chapter 5. Analysis of Pedestrian Motion Using Voronoi Diagrams in Complex Geometries -- Chapter 6. The trouble with 2nd order models or how to generate stop-and-go traffic in a 1st order model -- Chapter 7. The impact of walking speed heterogeneity and flow ratio on the pedestrian fundamental diagram -- Chapter 8. Experimental investigation on information provision methods and guidance strategies for crowd control -- Chapter 9. The impact of guidance information on exit choice behavior during an evacuation - a VR study -- Chapter 10. Experimental study on crowds with different velocity composition -- Chapter 11. The effect of an obstacle before a bottleneck: inert particles, sheep, and persons -- Chapter 12. Towards Inferring Input Parameters from Measurements: Bayesian Inversion for a Bottleneck Scenario -- Chapter 13. Spatially dependent friction – a way of adjusting bottleneck flow in cellular models -- Chapter 14. Experimental study on the congestion-sharing effect of obstacle on pedestrian crowd egress -- Chapter 15. Experimental setups to observe evasion maneuvers in low and high densities -- Chapter 16. How to change the value of Social Force Model’s relaxation time parameter with desired speed such that bottleneck flow remains unchanged -- Chapter 17. An analytical solution of the Social Force Model for uni-directional flow -- Chapter 18. A cognitive, decision-based model for pedestrian dynamics -- Chapter 19. Exploring Koopman Operator Based Surrogate Models - Accelerating the Analysis of Critical Pedestrian Densities -- Chapter 20. Evacuation Characteristics of Students Passing through Bottlenecks. Chapter 21. An efficient crowd density estimation algorithm through network compression -- Chapter 22. Modelling Pedestrian Social Group Passing Strategy with Expression-Matrix and Social Force -- Chapter 23. Pedestrian fundamental diagram in between normal walk and crawling -- Chapter 24. Deep Fundamental Diagram Network for Real-time Pedestrian Dynamics Analysis -- Chapter 25. Data-driven simulation for pedestrian avoiding a fixed obstacle -- Chapter 26. Entropy, Field Theory and Pedestrian Dynamics: Prediction and Forensics -- Chapter 27. The impact of social groups on collective decision-making in evacuations: a simulation study -- Chapter 28. Set-up of a method for people-counting using images from a UAV -- Chapter 29. Modeling of position finding in waiting processes on platforms -- Chapter 30. Exploring the effect of crowd management measures on passengers’ behaviour at metro stations -- Chapter 31. Rotation behaviour of pedestrians in bidirectional and crossing flows -- Chapter 32. Experimental study on one-dimensional movement with different motion postures -- Chapter 33. A decision model for pre-evacuation time prediction based on fuzzy logic theory -- Chapter 34. Clogging in velocity-based models for pedestrian dynamics -- Chapter 35. Exit-choice behavior in evacuation through an L-shaped corridor -- Chapter 36. Bidirectional Flow on Stairs at Different Flow Ratios -- Chapter 37. Gender profiling of pedestrian dyads -- Chapter 38. The effect of social groups on the dynamics of bi-directional pedestrian flow: a numerical study -- Chapter 39. Experimental study on pedestrian flow under different age groups and movement motivations -- Chapter 40. Experimental Analysis of the Restriction Mechanisms of Queuing on Pedestrian Flow at Bottleneck -- Chapter 41. Vadere - A simulation framework to compare locomotion models -- Part 2: Granular and active matter -- Chapter 42. First-order contributions to the partial temperatures in dilute binary granular suspensions -- Chapter 43. Acoustic resonances in a confined set of disks -- Chapter 44. Morphological response of clogging arches to gentle vibration. . |
Record Nr. | UNINA-9910427669503321 |
Cham, Switzerland : , : Springer, , [2020] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Traffic and granular flow 2019 / / Iker Zuriguel, Angel GarcimartiÌn, RauÌl Cruz Hidalgo, editors |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XXVII, 611 p. 278 illus., 246 illus. in color.) |
Disciplina | 388.41 |
Collana | Springer Proceedings in Physics |
Soggetto topico |
Granular flow
Pedestrian traffic flow Traffic flow |
ISBN | 3-030-55973-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: Pedestrian dynamics -- Chapter 1. Influence of Corridor Width and Motivation on Pedestrians in Front of Bottlenecks -- Chapter 2. The Measurement of Stress at Open-Air Events: Monitoring Emotion and Motion Utilizing Wearable Sensor Technology -- Chapter 3. Smoothing trajectories of people’s heads -- Chapter 4. Influence of Small-Scale Obstacles on Passenger Flows in Railway Stations -- Chapter 5. Analysis of Pedestrian Motion Using Voronoi Diagrams in Complex Geometries -- Chapter 6. The trouble with 2nd order models or how to generate stop-and-go traffic in a 1st order model -- Chapter 7. The impact of walking speed heterogeneity and flow ratio on the pedestrian fundamental diagram -- Chapter 8. Experimental investigation on information provision methods and guidance strategies for crowd control -- Chapter 9. The impact of guidance information on exit choice behavior during an evacuation - a VR study -- Chapter 10. Experimental study on crowds with different velocity composition -- Chapter 11. The effect of an obstacle before a bottleneck: inert particles, sheep, and persons -- Chapter 12. Towards Inferring Input Parameters from Measurements: Bayesian Inversion for a Bottleneck Scenario -- Chapter 13. Spatially dependent friction – a way of adjusting bottleneck flow in cellular models -- Chapter 14. Experimental study on the congestion-sharing effect of obstacle on pedestrian crowd egress -- Chapter 15. Experimental setups to observe evasion maneuvers in low and high densities -- Chapter 16. How to change the value of Social Force Model’s relaxation time parameter with desired speed such that bottleneck flow remains unchanged -- Chapter 17. An analytical solution of the Social Force Model for uni-directional flow -- Chapter 18. A cognitive, decision-based model for pedestrian dynamics -- Chapter 19. Exploring Koopman Operator Based Surrogate Models - Accelerating the Analysis of Critical Pedestrian Densities -- Chapter 20. Evacuation Characteristics of Students Passing through Bottlenecks. Chapter 21. An efficient crowd density estimation algorithm through network compression -- Chapter 22. Modelling Pedestrian Social Group Passing Strategy with Expression-Matrix and Social Force -- Chapter 23. Pedestrian fundamental diagram in between normal walk and crawling -- Chapter 24. Deep Fundamental Diagram Network for Real-time Pedestrian Dynamics Analysis -- Chapter 25. Data-driven simulation for pedestrian avoiding a fixed obstacle -- Chapter 26. Entropy, Field Theory and Pedestrian Dynamics: Prediction and Forensics -- Chapter 27. The impact of social groups on collective decision-making in evacuations: a simulation study -- Chapter 28. Set-up of a method for people-counting using images from a UAV -- Chapter 29. Modeling of position finding in waiting processes on platforms -- Chapter 30. Exploring the effect of crowd management measures on passengers’ behaviour at metro stations -- Chapter 31. Rotation behaviour of pedestrians in bidirectional and crossing flows -- Chapter 32. Experimental study on one-dimensional movement with different motion postures -- Chapter 33. A decision model for pre-evacuation time prediction based on fuzzy logic theory -- Chapter 34. Clogging in velocity-based models for pedestrian dynamics -- Chapter 35. Exit-choice behavior in evacuation through an L-shaped corridor -- Chapter 36. Bidirectional Flow on Stairs at Different Flow Ratios -- Chapter 37. Gender profiling of pedestrian dyads -- Chapter 38. The effect of social groups on the dynamics of bi-directional pedestrian flow: a numerical study -- Chapter 39. Experimental study on pedestrian flow under different age groups and movement motivations -- Chapter 40. Experimental Analysis of the Restriction Mechanisms of Queuing on Pedestrian Flow at Bottleneck -- Chapter 41. Vadere - A simulation framework to compare locomotion models -- Part 2: Granular and active matter -- Chapter 42. First-order contributions to the partial temperatures in dilute binary granular suspensions -- Chapter 43. Acoustic resonances in a confined set of disks -- Chapter 44. Morphological response of clogging arches to gentle vibration. . |
Record Nr. | UNISA-996418446803316 |
Cham, Switzerland : , : Springer, , [2020] | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
Understanding the discrete element method : simulation of non-spherical particles for granular and multi-body systems / / Hans-Georg Matuttis, Jian Chen |
Autore | Matuttis Hans-Georg |
Pubbl/distr/stampa | Singapore : , : Wiley, , 2014 |
Descrizione fisica | 1 online resource (480 p.) |
Disciplina | 531/.163 |
Soggetto topico |
Granular flow
Discrete element method Multibody systems Mechanics, Applied - Computer simulation |
ISBN |
1-118-56728-5
1-118-56722-6 1-118-56721-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 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 |
Record Nr. | UNINA-9910132498003321 |
Matuttis Hans-Georg
![]() |
||
Singapore : , : Wiley, , 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Understanding the discrete element method : simulation of non-spherical particles for granular and multi-body systems / / Hans-Georg Matuttis, Jian Chen |
Autore | Matuttis Hans-Georg |
Pubbl/distr/stampa | Singapore : , : Wiley, , 2014 |
Descrizione fisica | 1 online resource (480 p.) |
Disciplina | 531/.163 |
Soggetto topico |
Granular flow
Discrete element method Multibody systems Mechanics, Applied - Computer simulation |
ISBN |
1-118-56728-5
1-118-56722-6 1-118-56721-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 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 |
Record Nr. | UNINA-9910821695203321 |
Matuttis Hans-Georg
![]() |
||
Singapore : , : Wiley, , 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|