scholarly journals Disease contagion models coupled to crowd motion and mesh-free simulation

2021 ◽  
pp. 1-19
Author(s):  
Parveena Shamim Abdul Salam ◽  
Wolfgang Bock ◽  
Axel Klar ◽  
Sudarshan Tiwari
Keyword(s):  
Free Particle ◽  
Numerical Test ◽  
Particle Method ◽  
Coupled System ◽  
Disease Spread ◽  
Force Model ◽  
Social Force ◽  
Pedestrian Dynamics ◽  
Mesh Free ◽  
Crowd Motion

Modeling and simulation of disease spreading in pedestrian crowds have recently become a topic of increasing relevance. In this paper, we consider the influence of the crowd motion in a complex dynamical environment on the course of infection of the pedestrians. To model the pedestrian dynamics, we consider a kinetic equation for multi-group pedestrian flow based on a social force model coupled with an Eikonal equation. This model is coupled with a non-local SEIS contagion model for disease spread, where besides the description of local contacts, the influence of contact times has also been modeled. Hydrodynamic approximations of the coupled system are derived. Finally, simulations of the hydrodynamic model are carried out using a mesh-free particle method. Different numerical test cases are investigated, including uni- and bi-directional flow in a passage with and without obstacles.

Flow over sills by the MPS mesh-free particle method

2011 ◽  
Vol 49 (5) ◽  
pp. 649-656 ◽  
Author(s):  
Aidin Jabbari Sahebari ◽  
Yee-Chung Jin ◽  
Ahmad Shakibaeinia
Keyword(s):  
Free Particle ◽  
Particle Method ◽  
Mesh Free

A Mesh-Free Particle Method for Transient Full-Wave Simulation

2007 ◽  
Vol 43 (4) ◽  
pp. 1333-1336 ◽  
Author(s):  
Guido Ala ◽  
Elisa Francomano ◽  
Adele Tortorici ◽  
Elena Toscano ◽  
Fabio Viola
Keyword(s):  
Free Particle ◽  
Particle Method ◽  
Wave Simulation ◽  
Full Wave ◽  
Mesh Free

scholarly journals Simulation of Evacuation Characteristics Using a 2-Dimensional Cellular Automata Model for Pedestrian Dynamics

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Liqiang Ji ◽  
Yongsheng Qian ◽  
Junwei Zeng ◽  
Min Wang ◽  
Dejie Xu ◽  
...  
Keyword(s):  
Cellular Automata ◽  
High Density ◽  
Force Model ◽  
Environment Interaction ◽  
Social Force ◽  
Public Places ◽  
Pedestrian Dynamics ◽  
Repulsion Force ◽  
The People ◽  
Ca Model

In public places, the high pedestrian density is one of the direct causes leading to crowding and trample disaster, so it is very necessary to investigate the collective and evacuation characteristics for pedestrian movement. In the occupants’ evacuation process, the people-people interaction and the people-environment interaction are sufficiently considered in this paper, which have been divided into the exit attraction, the repulsion force between people, the friction between people, the repulsion force between human and barrier, and the attraction of surrounding people. Through analyzing the existing models, a new occupant evacuation cellular automata (CA) model based on the social force model is presented, which overcomes the shortage of the high density crowd simulation and combines the advantages that CA has sample rules and faster calculating speed. The simulating result shows a great applicability for evacuation under the high density crowd condition, and the segregation phenomena have also been found in the bidirectional pedestrian flow. Besides these, setting isolated belt near the exit or entrance of underpass not only remarkably decreases the density and the risk of tramper disaster but also increases the evacuation efficiency, so it provides a new idea for infrastructure design about the exits and entrances.

scholarly journals QUICKEST PATHS IN SIMULATIONS OF PEDESTRIANS

2011 ◽  
Vol 14 (05) ◽  
pp. 733-759 ◽  
Author(s):  
TOBIAS KRETZ ◽  
ANDREE GROßE ◽  
STEFAN HENGST ◽  
LUKAS KAUTZSCH ◽  
ANDREJ POHLMANN ◽  
...  
Keyword(s):  
Travel Time ◽  
Personal Space ◽  
Path Model ◽  
Force Model ◽  
Social Force ◽  
Microscopic Simulation ◽  
Pedestrian Dynamics ◽  
The Social ◽  
Model Element ◽  
Pedestrian Traffic

This contribution proposes a method to make agents in a microscopic simulation of pedestrian traffic walk approximately along a path of estimated minimal remaining travel time to their destination. Usually models of pedestrian dynamics are (implicitly) built on the assumption that pedestrians walk along the shortest path. Model elements formulated to make pedestrians locally avoid collisions and intrusion into personal space do not produce motion on quickest paths. Therefore a special model element is needed, if one wants to model and simulate pedestrians for whom travel time matters most (e.g. travelers in a station hall who are late for a train). Here such a model element is proposed, discussed and used within the Social Force Model.

scholarly journals A hybrid multi-scale model of COVID-19 transmission dynamics to assess the potential of non-pharmaceutical interventions

2020 ◽  
Author(s):  
Anass Bouchnita ◽  
Aissam Jebrane
Keyword(s):  
Transmission Dynamics ◽  
Disease Spread ◽  
Scale Model ◽  
Force Model ◽  
Social Force ◽  
Social Distancing ◽  
Epidemic Curve ◽  
Indirect Transmission ◽  
Multi Scale ◽  
Pharmaceutical Interventions

AbstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel coronavirus that emerged in Wuhan, China in December 2019. It has caused a global outbreak which represents a major threat to global health. Public health resorted to non-pharmaceutical interventions such as social distancing and lockdown to slow down the spread of the pandemic. However, the effect of each of these measures remains hard to quantify. We design a multi-scale model that simulates the transmission dynamics of COVID-19. We describe the motion of individual agents using a social force model. Each agent can be either susceptible, infected, quarantined, immunized or deceased. The model considers both mechanisms of direct and indirect transmission. We parameterize the model to reproduce the early dynamics of disease spread in Italy. We show that panic situations increase the risk of infection transmission in crowds despite social distancing measures. Next, we reveal that pre-symptomatic transmission accelerates the onset of the exponential growth of cases. After that, we demonstrate that the persistence of SARS-CoV-2 on hard surfaces determines the number of cases reached during the peak of the epidemic. Then, we show that the restricted movement of the individuals flattens the epidemic curve. Finally, model predictions suggest that measures stricter than social distancing and lockdown were used to control the epidemic in Wuhan, China.

Numerical Simulation of Behavior of Sand Particles during High-Speed Penetration with Particle Method

2016 ◽  
Vol 715 ◽  
pp. 198-202
Author(s):  
Ryota Shimono ◽  
Keiko Watanabe
Keyword(s):  
Numerical Simulation ◽  
High Speed ◽  
Free Particle ◽  
Particle Method ◽  
Particle Methods ◽  
Sand Particle ◽  
Mesh Free ◽  
Research Themes ◽  
Macro Scale ◽  
Sand Particles

The phenomena that occur during high-speed penetration of a projectile into sand particles are interesting subjects in engineering. The macro-scale research themes are the behavior of the ejected sand particles and the progress of the high-speed projectile, while the micro-scale research themes are the deformation and fragmentation of a single sand particle. Studies of these unique phenomena were conducted using both experiments and numerical simulation. Although accurate simulation of the behavior of sand particles during high-speed penetration is difficult because sand particles have characteristics of both fluids and solids, the reproducibility of the actual phenomena has improved in recent years with the development of particle methods. In our research, we conducted simulations of the phenomena using Smoothed Particle Hydrodynamics (SPH), which is a mesh-free, particle-based method. The results showed the possibility of accurate reproduction during high-speed projectile penetration into sand particles at the macro-scale.

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