A numerical optimization method was proposed time ago by Templeman based on the maximum entropy principle. That approach combined the Kuhn-Tucker condition and the information theory postulates to create a probabilistic formulation of the optimality criteria techniques. Such approach has been enhanced in this research organizing the mathematical process in a single optimization loop and linearizing the constraints. It turns out that such procedure transforms the optimization process in a sequence of systems of linear equations which is a very efficient way of obtaining the optimum solution of the problem. Some examples of structural optimization, namely, a planar truss, a spatial truss and a composite stiffened panel, are presented to demonstrate the capabilities of the methodology.
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APA Style
Hernández, S., Baldomir, A., Díaz, J., Pereira, F. (2012). An enhanced formulation of the maximum entropy method for structural optimization. Computers, Materials & Continua, 32(3), 219-240. https://doi.org/10.3970/cmc.2012.032.219
Vancouver Style
Hernández S, Baldomir A, Díaz J, Pereira F. An enhanced formulation of the maximum entropy method for structural optimization. Comput Mater Contin. 2012;32(3):219-240 https://doi.org/10.3970/cmc.2012.032.219
IEEE Style
S. Hernández, A. Baldomir, J. Díaz, and F. Pereira "An Enhanced Formulation of the Maximum Entropy Method for Structural Optimization," Comput. Mater. Contin., vol. 32, no. 3, pp. 219-240. 2012. https://doi.org/10.3970/cmc.2012.032.219