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MODELLING AND SIMULATION OF STRUCTURAL PERFORMANCE OF BEAM USING HIGH VOLUME BOTTOM ASH AS AGGREGATES REPLACEMENTNURUL NATASHA BINTI NASRUDINMASTER OF SCIENCE UNIVERSITI MALAYSIA PAHANGSUPERVISORS
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01
Define the objectives of the modeling and simulation project.
02
Identify the key variables and parameters that affect the system to be modeled.
03
Choose the appropriate modeling technique (e.g., statistical, mathematical, or computational).
04
Gather and preprocess data relevant to the model.
05
Construct the model using appropriate software tools.
06
Validate the model to ensure it accurately represents the real-world scenario.
07
Perform simulations by varying input parameters and observing outcomes.
08
Analyze the results and iterate on the model if necessary.
09
Document the modeling process and findings for future reference.

Who needs modelling and simulation of?

01
Researchers in various scientific fields seeking insights from complex systems.
02
Engineers designing products or processes that require performance testing.
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Businesses analyzing market trends and customer behavior.
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Healthcare professionals modeling disease spread or treatment outcomes.
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Government agencies planning infrastructure or emergency response strategies.
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Modelling and simulation refer to the process of creating abstract representations (models) of real-world systems and using them to study system behavior through simulation techniques.
Typically, individuals or organizations involved in industries such as engineering, healthcare, and finance that rely on predictive analytics and system evaluation are required to file modelling and simulation.
To fill out modelling and simulation, one must define the system parameters, outline the objectives, provide necessary data inputs, and detail the simulation processes and expected outcomes.
The purpose of modelling and simulation is to evaluate the performance of a system, analyze potential outcomes, and support decision-making by providing insights into complex scenarios.
Information that must be reported includes the system scope, assumptions made, data used, methodologies applied, results obtained, and any conclusions drawn from the simulation.
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