Abstract:
When we calculate thermal stress and temperature field for bulk concrete with FEM, we often adopt the mathematical expression of adiabatic temperature rise. In this case, we need to conduct numerical simulation on test data in order to find the empirical equation of adiabatic temperature rise. And we hope that the simulation equation is as the same with test data as possible. In this paper, anther show how to use genetic algorithm to simulate coefficients and to get the expected simulation effect , eventually to gain the intended purpose of accurate calculation. Author adopts C computer language to program, which shortens the time spent on the demanding calculation and makes the program a more applicable.
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