Recientemente hemos publicado un artículo en el que hemos empleado un algoritmo evolutivo híbrido para optimizar el coste y las emisiones de CO2 de puentes en viga artesa, con la particularidad de usar hormigones con fibras de acero. Se trata de un problema combinatorio complejo, con 41 variables de diseño, que se aplicó a un puente de 30 m de luz y una anchura de calzada de 12 m. A continuación, os dejo el artículo completo.
Abstract:
This paper uses heuristic optimization to investigate the influence of steel fiber reinforcement in the design of precast prestressed concrete (PPC) road bridges with a double U-shaped cross-section. A hybrid Evolutionary Algorithm (EA) combining a Genetic Algorithm (GA) with Variable Depth Neighborhood Search (VDNS) is formulated to minimize the economic cost and CO2 emissions while imposing constraints on all relevant limit states. The proposed case study is a 30 m span with a deck width of 12 m. The problem involved 41 discrete design variables. The algorithm requires an initial calibration. In addition, the heuristic is run nine times to obtain statistical information on the results’ minimum, mean, and deviation. The evolution of the objective function during the optimization procedure is highlighted. The results show that heuristic optimization is an emerging option for the design of real prestressed structures. This paper provides useful knowledge that could provide a better understanding of steel fiber reinforcement in U-beam road bridges.
Keywords: hybrid evolutionary algorithm, precast-prestressed concrete, steel fiber-reinforcement, U-shape cross-section.
Reference:
YEPES, V.; MARTÍ, J.V.; GARCÍA-SEGURA, T. (2017). Design optimization of precast-prestressed concrete road bridges with steel fiber-reinforcement by a hybrid evolutionary algorithm. International Journal of Computational Methods and Experimental Measurements, 5(2):179-189.