WELCOMEBy,Akhitha Babu

SIMULATIONV/S

SCIENCE

Simulation is the process of making real things

realistic.

Simulation is the imitation of the operation of a real-world process or 

system over time.

A computer simulation is a simulation, run on a single computer, or a network of computers, to

reproduce behavior of a system. In physics called computational physics.

HISTORYComputer simulation developed hand-in-hand 

with the rapid growth of the computer, following its first large-scale deployment during the Manhattan Project in World-

WarII to model the process of nuclear detonation. It was a simulation of 12 hard spheres using a Monte Carlo algorithm. 

SIMULATION V/S MODELA computer model is the algorithms and equations used to capture the behavior of 

the system being modeled.Simulation, is the process of running a model.

Thus one would not "build a simulation"; instead, one would "build a model", and then either "run the model" or equivalently "run a 

simulation".

USES• Simulation of technology for performance

optimization, safety engineering,  testing,  training, education, and video games. Often, computer experiments are used to study simulation models.

• Scientific modelling of natural systems or human systems to gain insight into their functioning.

• Show the eventual real effects of alternative conditions and courses of action.

• Used when the real system cannot be engaged, because it may not be accessible, or it may be dangerous or unacceptable to engage, or it is being designed but not yet built, or it may simply not exist.

• Used as an adjunct to, or substitute for, modeling systems for which simple closed form analytic solutions are not possible.

EXAMPLES• Over 10 years ago, a desert-battle simulation of one force invading another involved the modeling of 66,239 tanks, trucks and other vehicles on simulated terrain around  Kuwait, using multiple supercomputers in the  dod high performance computer modernization program.• A 1-billion-atom model of material deformation.

Simulation in PHYSICSTheories that involve continuous systems

such as phenomena in:-• Physical cosmology• Fluid dynamics(e.g.,Climate models, roadway

noise models, roadway air dispersion models)• Continuum mechanics• Chemical kinetics

Advantages of simulation• Simulations avoid placing restrictions on the system and also take

random processes into account; in fact in some cases simulation is the only practical modeling technique applicable.

• Analysts can study the relationships between components in detail and can simulate the projected consequences of multiple design options before having to implement the outcome in the real-world.

• It is possible to easily compare alternative designs so as to select the optimal system.

• The actual process of developing the simulation can itself provide valuable insights into the inner workings of the network which can in turn be used at a later stage.

Disadvantages of simulation• Accurate simulation model development requires

extensive resources.• The simulation results are only as good as the model and

as such are still only estimates/ projected outcomes.• Optimization can only be performed involving a few

alternatives as the model is usually developed using a limited number of variables.

• Simulations cost a lot of money to build and are very expensive to make.

REFERENCE• Wikipedia:- Simulation Computational Physics Computer models• Science daily(journals, articles)• Youtube• Autodesk Simulation Mechanical Quick Start• Google images• Google books:- Simulations-Sheldon M.Ross Computational Physics- Philipp O.J. Scherer