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Embodied Energy Optimization of Prestressed Concrete Slab Bridge Decks

Institute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, 46022 Valencia, Spain
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Technologies 2018, 6(2), 43; https://doi.org/10.3390/technologies6020043
Received: 8 March 2018 / Revised: 18 April 2018 / Accepted: 20 April 2018 / Published: 25 April 2018
(This article belongs to the Section Construction Technologies)
This paper presents one approach to the analysis and design of post-tensioned cast-in-place concrete slab bridge decks. A Simulated Annealing algorithm is applied to two objective functions: (i) the economic cost; and (ii) the embodied energy at different stages of production materials, transport, and construction. The problem involved 33 discrete design variables: five geometrical ones dealing with the thickness of the slab, the inner and exterior web width, and two flange thicknesses; concrete type; prestressing cables, and 26 variables for the reinforcement set-up. The comparison of the results obtained shows two different optimum families, which indicates that the traditional criteria of economic optimization leads to inefficient designs considering the embodied energy. The results indicate that the objectives are not competing functions, and that optimum energy designs are close to the optimum cost designs. The analysis also showed that the savings of each kW h of energy consumed carries an extra cost of 0.49€. The best cost solution presents 5.3% more embodied energy. The best energy solution is 9.7% more expensive than that of minor cost. In addition, the results have showed that the best cost solutions are not the best energy solutions. View Full-Text
Keywords: energy savings; heuristic optimization; prestressed concrete structures; sustainable construction energy savings; heuristic optimization; prestressed concrete structures; sustainable construction
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Alcalá, J.; González-Vidosa, F.; Yepes, V.; Martí, J.V. Embodied Energy Optimization of Prestressed Concrete Slab Bridge Decks. Technologies 2018, 6, 43.

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