1. Simulate to understand, design, predict and optimize
Numerical simulation is based on the premise that it is possible to account for physical – or other phenomena (biological, economic, demographic, physiological, etc.) – using mathematical models. Consisting of a set of equations, they are built with a certain number of assumptions limiting their use. The validity of the model is attested by a comparison with physical reality, and its accuracy in a given field is accepted by the engineering community. Under these conditions, the mathematical model acquires a significant predictive capacity. It can then be used to characterize the entity under study: for example, to predict the lifespan of an electrical appliance, the acoustic and thermal comfort of an auditorium, the fuel consumption of an automobile, the efficiency of a wind turbine or the sailing speed of a submarine.
Today, this technique is used in industry and...
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Simulate to understand, design, predict and optimize
Bibliography
Directory
Manufacturers – suppliers – distributors (non-exhaustive list)
Alice & Bob
Code_Aster
Dwave
Scientific journals
Communications in Nonlinear Science and Numerical Simulation
https://www.sciencedirect.com/journal/communications-in-nonlinear-science-and-numerical-simulation
Computers & Fluids
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