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'''Simulation modeling''' is the process of creating and analyzing a [[Digital prototyping|digital prototype]] of a physical model to predict its performance in the real world. [[Simulation]] [[Scientific model|modeling]] is used to help designers and engineers understand whether, under what conditions, and in which ways a part could fail and what loads it can withstand. Simulation modeling can also help to
It analyses the approximate working conditions by applying the simulation software.
==Uses of
Simulation modeling allows designers and engineers to avoid the repeated building of multiple physical prototypes to analyze designs for new or existing parts. Before creating the physical prototype, users can investigate many digital prototypes. Using the technique, they can:
* Optimize geometry for weight and strength
* Select materials that meet weight, strength, and budget requirements
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* Validate the likely safety and survival of a physical prototype before
==Typical
Simulation modeling follows a process much like this:
# Use a 2D or [[3D CAD]] tool to develop a virtual model, also known as a digital prototype, to represent a design.
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# Define [[finite element analysis]] data (loads, constraints, or materials) based on analysis type (thermal, structural, or fluid). Apply [[boundary conditions]] to the model to represent how the part will be restrained during use.
# Perform finite element analysis, review results, and make engineering judgments based on results.
==See also==
* [[Mathematical and theoretical biology]]▼
* [[Comparison of system dynamics software]]
▲* [[Mathematical and theoretical biology]]
* [[Operations research]]
* [[Power system simulation]]
==References==
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* [http://www.ist.ucf.edu/background.htm University of Central Florida, Institute for Simulation and Training]
* Winsberg, Eric (2003), [http://www.cas.usf.edu/~ewinsb/methodology.pdf Simulated Experiments: Methodology for a Virtual World]
* Roger D. Smith: [https://web.archive.org/web/20101023055307/http://www.modelbenders.com/Bookshop/techpapers.html "Simulation: The Engine Behind the Virtual World"], eMatter, December
* A. Borshchev, A. Filippov: [https://web.ics.purdue.edu/~hwan/IE680/Final%20Presentation/Po-CHing/From%20SD%20and%20DE%20to%20Practical%20Agent%20Based%20Modeling%20Reasons%20Techniques%20Tools%2004.pdf "From System Dynamics and Discrete Event to Practical Agent
==External links==
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* [http://www.sisostds.org Simulation Interoperability Standards Organization]
* [http://www.scs.org The Society for Modeling and Simulation International (Formerly the Society of Computer Simulation)]
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[[Category:Mathematical and quantitative methods (economics)]]
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