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首页> 外文期刊>Journal of Structural Engineering >Cable layout design of prestressed conerete beams using neural networks
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Cable layout design of prestressed conerete beams using neural networks

机译:基于神经网络的预应力混凝土梁电缆布置设计。

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摘要

The cable layout design is the most important step in the design of prestressed concrete structures. Most often cables are idealized as parabola in different spans. Although this simplifies the analysis, there are two major problems with this approach. First, it creates discontinuity at intermediate supports and secondly it is computationally expensive. To overcome these shortcomings, in this study, prestressing cables have been modeled by B-spIine curve. Using the convex hull property of the B-spiine, an efficient algorithm has been developed to obtain the cable layout. In the finite element analysis, nine node plane stress and three node curved bar elements are used to model concrete and cable respectively. Further, to cut short the design time, neural networks have been used for cable layout design. Several continuous span beams with varying loading conditions are successfully designed using proposed approach.
机译:电缆布局设计是预应力混凝土结构设计中最重要的步骤。最常见的是将电缆理想化为不同跨距的抛物线。尽管这简化了分析,但是此方法存在两个主要问题。首先,它会在中间支撑处产生不连续性,其次,它的计算量很大。为了克服这些缺点,在这项研究中,已经通过B螺旋曲线对预应力电缆进行了建模。利用B螺旋的凸包属性,已开发出一种有效的算法来获得电缆布局。在有限元分析中,分别使用九个节点的平面应力和三个节点的弯曲钢筋单元对混凝土和电缆进行建模。此外,为了缩短设计时间,神经网络已用于电缆布局设计。使用所提出的方法成功地设计了几种具有变化载荷条件的连续跨度梁。

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