使用断面构造关系计算在役 RC 拱桥极限承载力的新方法

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Applied Mathematical Modelling Pub Date : 2024-11-19 DOI:10.1016/j.apm.2024.115829
Jingzhou Xin , Qizhi Tang , Jianting Zhou , Yin Zhou , Chao Luo , Yan Jiang
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引用次数: 0

摘要

极限承载力是评估在役钢筋混凝土(RC)拱桥安全状态的主要依据。然而,目前的评估方法需要大量成本来处理材料非线性问题,因此无法有效解决这一棘手问题。为此,我们提出了一种计算在役 RC 拱桥极限承载力的新方法。该方法通过截面构成关系加速材料非线性分析,避免了传统方法的计算强度,可为结构安全评估提供快速解决方案。首先,考虑拱轴线偏差、温度变化和拱肋损伤,建立几何非线性微分方程,通过样条函数和 Newton-Raphson 方法求得结构的真实内力和变形。在此基础上,开发了在役拱桥截面刚度识别方法,将识别出的刚度作为输入参数。然后,提出了截面构成关系的实用公式,以加速基于纤维模型的材料非线性分析。最后,将截面构成关系的实用公式与拱桥几何非线性分析相结合,快速实现了在役拱形钢筋混凝土桥梁的双非线性分析。实验和数值验证了所提方法的有效性和优越性,并通过参数分析揭示了影响拱桥使用安全的主要因素。结果表明,所提方法在保持与传统方法相同精度的前提下,能显著提高计算效率。在数值验证中,相对计算误差仅为 2.08%,总计算时间仅为有限元法的 1/25。
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A novel method for calculating the ultimate bearing capacity of in-service RC arch bridges using sectional constitutive relation
Ultimate bearing capacity is the main basis for evaluating the safety state of in-service reinforced concrete (RC) arch bridges. However, current evaluation methods require a lot of cost to handle the material nonlinearity problem, thereby failing to efficiently addressing such a tough issue. To this end, a novel method for calculating the ultimate bearing capacity of in-service RC arch bridges is proposed. This method accelerates the material nonlinear analysis by the sectional constitutive relation, which avoids the computational intensiveness in conventional methods and may provide a quick solution for structural safety assessment. Firstly, considering the arch axis deviation, temperature change and arch rib damage, the geometric nonlinear differential equation is established, and the real internal force and deformation of the structure are obtained by spline function and Newton–Raphson method. On this basis, the sectional stiffness identification method of in-service arch bridges is developed, in which the identified stiffness is taken as the input parameter. Then, a practical formula of the sectional constitutive relation is proposed to accelerate the material nonlinear analysis based on the fiber model. Finally, the practical formula of the sectional constitutive relation is combined into the geometric nonlinear analysis of arch bridges, by which the double nonlinear analysis of in-service arch RC bridges is fast realized. The effectiveness and superiority of the proposed method is verified experimentally and numerically, and the main factors affecting the service safety of arch bridges are revealed through parameter analysis. The results show that the proposed method can improve the calculation efficiency significantly while maintaining the same accuracy as the traditional method. In numerical validation, the relative calculation error is only 2.08 %, and the total calculation time is only 1/25 of the finite element method.
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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