Reliability evaluation of reinforced concrete arch bridges during construction based on LGSSA‐SVR hybrid algorithm

IF 3 3区 工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
Xu Binlin, Tian Zhongchu, Shen Xiaoping, Bai Wenguang
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Abstract

During the cantilever casting process of reinforced concrete arch bridges with cantilever cast‐in‐situ method, it is difficult to select representative training samples for reliability analysis due to its complex structural system. Many random variables and large computational sample size, this paper proposes to solve the reliability indexes based on the combination of the improved sparrow search algorithm (LGSSA) and the support vector regression (SVR) method. Firstly, random variables are selected according to the actual situation of the bridge structure. Then representative training samples are designed to be substituted into the finite element model through the homogeneous method. The resultant data samples are used to fit the functional function by the support vector regression. Then combined with the penalized function method to transform the nonlinear optimization into the problem of solving the extreme value of the function. Based on the improved SSA to solve the extreme value of the final function. Finally the reliability index of the structure is obtained. With the background of reinforced concrete arch bridge of 200 m, the method is used to analyze the reliability of its buckling cable stress, arch stress, buckling tower deviation and structural system reliability during the cantilever casting process. The results show that the overall structural reliability of the arch ring during cantilever casting is 3.502–3.608. The indexes of buckling cable stress reliability are 3.806–6.784. The indexes of arch ring stress reliability are 4.379–7.562, and the indexes of buckling tower deflection reliability are 3.608–8.123.
基于 LGSSA-SVR 混合算法的施工期间钢筋混凝土拱桥可靠性评估
在现浇法钢筋混凝土拱桥悬臂浇筑过程中,由于其结构体系复杂,很难选取有代表性的训练样本进行可靠性分析。随机变量多,计算样本量大,本文提出基于改进的麻雀搜索算法(LGSSA)和支持向量回归(SVR)方法相结合的可靠性指标求解方法。首先,根据桥梁结构的实际情况选择随机变量。然后设计具有代表性的训练样本,通过同质法将其代入有限元模型。由此得到的数据样本通过支持向量回归拟合函数。然后结合惩罚函数法,将非线性优化转化为求解函数极值的问题。基于改进的 SSA 求解最终函数的极值。最后得到结构的可靠性指标。以 200 米钢筋混凝土拱桥为背景,采用该方法对其悬臂浇筑过程中的屈曲拉索应力、拱桥应力、屈曲塔偏差和结构系统可靠性进行了分析。结果表明,悬臂浇筑过程中拱圈的整体结构可靠性为 3.502-3.608。扣索应力可靠性指标为 3.806-6.784。拱圈应力可靠性指标为 4.379-7.562,屈曲塔架挠度可靠性指标为 3.608-8.123。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Structural Concrete
Structural Concrete CONSTRUCTION & BUILDING TECHNOLOGY-ENGINEERING, CIVIL
CiteScore
5.60
自引率
15.60%
发文量
284
审稿时长
3 months
期刊介绍: Structural Concrete, the official journal of the fib, provides conceptual and procedural guidance in the field of concrete construction, and features peer-reviewed papers, keynote research and industry news covering all aspects of the design, construction, performance in service and demolition of concrete structures. Main topics: design, construction, performance in service, conservation (assessment, maintenance, strengthening) and demolition of concrete structures research about the behaviour of concrete structures development of design methods fib Model Code sustainability of concrete structures.
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