期刊
AUTOMATION IN CONSTRUCTION
卷 49, 期 -, 页码 123-134出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.autcon.2014.10.013
关键词
Optimization; Glowworm swarm algorithm; Computer aided design; Structural design; Sustainable design; Precast concrete; Bridges
资金
- Spanish Ministry of Science and Innovation [BIA2011-23602]
- Universitat Politecnica de Valencia [SP20120341]
This paper describes a methodology to optimize cost and CO2 emissions when designing precast-prestressed concrete road bridges with a double U-shape cross-section. To this end, a hybrid glowworm swarm optimization algorithm (SAGSO) is used to combine the synergy effect of the local search with simulated annealing (SA) and the global search with glowworm swarm optimization (GSO). The solution is defined by 40 variables, including the geometry, materials and reinforcement of the beam and the slab. Regarding the material, high strength concrete is used as well as self-compacting concrete in beams. Results provide engineers with useful guidelines to design PC precast bridges. The analysis also revealed that reducing costs by 1 Euro can save up to 1.75 kg in CO2 emissions. Finally, the parametric study indicates that optimal solutions in terms of monetary costs have quite a satisfactory environmental outcome and differ only slightly from the best possible environmental solution obtained. (C) 2014 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据