Using Co-Lab to build System Dynamics models: Students’ actions and on-line tutorial advice

2009 ◽  
Vol 53 (2) ◽  
pp. 243-251 ◽  
Author(s):  
Crescencio Bravo ◽  
Wouter R. van Joolingen ◽  
Ton de Jong
Keyword(s):  
System Dynamics ◽  
On Line ◽  
Build System ◽  
Dynamics Models

With the Backlash Dynamics Simulation of a Crank-Slider Mechanism of the Internal Combustion Engine

2012 ◽  
Vol 215-216 ◽  
pp. 1081-1084
Author(s):  
Shao Jun Bo ◽  
Kui Ji ◽  
Juan Tian
Keyword(s):  
System Dynamics ◽  
Combustion Engine ◽  
Dynamics Simulation ◽  
Kinematic Pair ◽  
Body System ◽  
Nonlinear Characteristics ◽  
Preliminary Study ◽  
Multi Body ◽  
Dynamics Models ◽  
Crank Mechanism

On the basis of flexible multi-body system dynamics theory, we built flexible multi-body system dynamics models which include a backlash, and to a slider-crank mechanism as the research object, we made a preliminary study on the effect on the flexible components and the backlash of the kinematic pair on mechanical system dynamics characteristics. To consider the backlash of the kinematic pair and component of flexible space can show a preliminary research on the dynamic simulation, and focus on the backlash, friction and gravity field to influence in the dynamic characteristics of the system. The simulation results show that, due to the existence of backlash made the two components frequent collision in the process of the stretching, clearance, flexible and friction are closed, make the system nonlinear characteristics increased.

System Dynamics Models Applications

2021 ◽  
pp. 99-128
Author(s):  
Ramesh S. V. Teegavarapu
Keyword(s):  
System Dynamics ◽  
Dynamics Models

A Simple Model for a Complex Issue

2011 ◽  
Vol 3 (4) ◽  
pp. 60-74 ◽  
Author(s):  
Hassan Qudrat-Ullah
Keyword(s):  
System Dynamics ◽  
Treatment Programs ◽  
Dynamics Model ◽  
Susceptible Population ◽  
Complex Issue ◽  
Biomedical Systems ◽  
Dynamic Simulation Model ◽  
Dynamics Models ◽  
The Impact ◽  
Hiv Aids

System dynamics models can facilitate the understanding of complex and dynamic biomedical systems such as in HIV/AIDS. Untangling the dynamics among various population stocks (e.g., susceptible population, infected population, HIV population, AIDS population) can be used to investigate the effective points of interventions in the HIV/AIDS cycle. With that in mind, the authors have developed a system dynamics model that can be used to examine various policy decisions for the prevention and the treatment of HIV/AIDS. The specific objectives of their study was to examine the growing number of AIDS-related deaths in Canada. They used the authors’ dynamic simulation model to evaluate the impact of various HIV/AIDS policy intervention scenarios centred on the reduction of the number of AIDS deaths in Canada. Their analysis suggests that more lives will be saved if effective preventive and treatment programs are implemented simultaneously. A simultaneous implementation of these programs will also result in a much smaller HIV-infected and AIDS populations.

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