腹板开孔旁有加劲件的钢-混凝土组合梁的性能

IF 1.5 Q2 ENGINEERING, MULTIDISCIPLINARY
Sheik Mastan, Anandh S, Sindhu Nachiar S
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引用次数: 0

摘要

钢-混凝土复合梁(CB)上开有孔洞,用于预留管道和管线,这通常会降低梁的抗弯强度。因此,为了保持这些梁的强度,在腹板开孔附近引入了加劲件。因此,我们通过有限元分析(FEA)软件 ABAQUS v6.14 进行了数值研究,以评估腹板开孔旁加劲件的影响。研究考虑了三种不同形状的开口和三种不同的加劲件位置,即圆形、矩形和三角形开口,加劲件沿纵向、横向和对角线方向布置。根据有限元分析的结果,对极限荷载、刚度和应力分布进行了比较。通过比较发现,圆形开口旁边的双面纵向和横向加强筋与传统 CB 相当。同样,对角加劲件也能提高矩形和三角形开口的强度。与其他纵向和对角线加强筋相比,横向加强筋未能提高承载能力和减少应力集中。使用 Levenberg-Marquardt(LM)算法和人工神经网络(ANN)的反向传播变体技术对有限元结果进行了进一步验证。人工神经网络的结果,即均方误差(MSE)和多重确定系数(R2)分别高于 0.9 和低于 1。因此,ANN 的结果表明,所提供的结果完全符合利用 ANN 技术进行预测的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of composite steel-concrete beam with stiffener next to web opening
Openings are provided in Composite steel-concrete beams (CB) for the allowance of ducts and pipes, which generally reduces the beam’s flexural performance. So, to retain the strength of these beams, stiffeners are introduced adjacent to the web openings. Hence, a numerical study is performed to evaluate the influence of the stiffeners next to web openings through finite element analysis (FEA) software ABAQUS v6.14. Three different shapes of openings with three different placements of stiffeners are considered for the study, namely circular, rectangular, and triangular openings with stiffeners along longitudinal, transverse, and diagonal directions. As revealed from the findings of FEA, comparisons are made based on the ultimate load, stiffness, and stress distribution. From comparisons, it is found that double-sided longitudinal and transverse stiffeners next to the circle opening are comparable to conventional CB. Similarly, Diagonal stiffeners increase strength in rectangular and triangle openings. Transverse stiffeners failed to increase load capacity and decrease stress concentration compared to other longitudinal and diagonal stiffeners. Further validation for the finite element results is done using the Levenberg–Marquardt (LM) algorithm, using the backpropagation variant technique of Artificial Neural Network (ANN). The results of ANN, i.e., Mean Square Error (MSE) and Multiple Determination Coefficient (R2), are above 0.9 and below 1, respectively. Thus, the results of ANN indicate that the provided results are perfectly fit for predicting with the ANN technique.
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来源期刊
Engineering Research Express
Engineering Research Express Engineering-Engineering (all)
CiteScore
2.20
自引率
5.90%
发文量
192
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