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Flower pollination-based optimal design of reinforced concrete beams with externally bonded of FRPS
Composites and Advanced Materials ( IF 2.4 ) Pub Date : 2020-10-15 , DOI: 10.1177/2633366x20962499
N Sundar 1 , PN Raghunath 2 , G Dhinakaran 1
Affiliation  

The optimal design of reinforced concrete beams (RCBs) and structures with an objective of improving the chosen performances is an important problem in the field of construction works. Recently, the concrete beams, structures, and walls are strengthened externally by bonding fiber-reinforced polymer strips (FRPS). Usually, FRPS are employed in rehabilitation of existing beams, bridges, and other structural elements. This article modifies the problem of designing new RCBs with appropriate selection of FRPS with a goal of exploiting the benefits of FRPS such as higher tensile strength, better corrosion resistance, higher stiffness-to-weight ratio, and longer life. It, firstly, proposes an artificial neural network-based mathematical model for assessing the performances of RCBs bonded with FRPS from the data obtained from 69 FRPS-glued RCBs and then develops an optimal design procedure employing flower pollination-based optimization, which is imitated from the pollination process of plants, for obtaining design parameters of FRPS-glued RCBs with a view of enhancing both the ultimate load and the deflection ductility. It presents optimal design parameters of five FRPS-glued RCBs and experimentally validates the performances.



中文翻译:

基于花粉授粉的FRPS外部粘结钢筋混凝土梁的优化设计

以改善所选性能为目标的钢筋混凝土梁(RCB)和结构的优化设计是建筑工程领域的重要问题。最近,混凝土梁,结构和墙体通过粘结纤维增强聚合物条(FRPS)从外部进行了加固。通常,FRPS用于修复现有的梁,桥和其他结构元件。本文修改与利用FRPS的益处的一个目标FRPS的适当选择设计新RCBS的问题如较高的拉伸强度,更好的耐腐蚀性,高的刚度对质量比和更长的寿命。首先,提出了一个基于人工神经网络的数学模型,用于从69份FRPS胶合的RCB数据中评估与FRPS结合的RCB的性能,然后开发了一种基于花粉授粉的优化的最佳设计程序,该程序模仿了花粉授粉的过程。为了提高极限载荷和挠曲延展性,用于获得FRPS胶合RCB的设计参数。它提供了五个FRPS胶合RCB的最佳设计参数,并通过实验验证了性能。

更新日期:2020-10-17
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