SYSTEM RELIABILITY OF REINFORCED CONCRETE RIBBED ARCH BRIDGE

IF 0.8 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI:10.2316/J.2021.206-0536

Xiujun Li, Haibo Di, Feixiong Yang

引用次数: 0

Abstract

According to the mechanical characteristics of reinforced concrete ribbed arch bridges, the rib failure mode is proposed as the main failure mode of such bridges, and a mathematical model for reliability analysis of a reinforced concrete ribbed arch bridge system is established. The failure of such a system is studied by the method of critical strength with support constraints. By comparing various methods, the formal method of system reliability solution is determined to be the reliability calculation method of reinforced concrete arch bridge systems, and the calculation equation of the saliency coeﬃcient of reinforced concrete ribbed arch bridge components is given. The process of reliability analysis of a reinforced concrete ribbed arch bridge system is summarized and its eﬀectiveness veriﬁed by an example. The research results can provide references for the reliability analysis of reinforced concrete ribbed arch bridge systems.

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钢筋混凝土肋拱桥体系可靠性研究

根据钢筋混凝土肋拱桥的受力特点，提出肋破坏模式为钢筋混凝土肋拱桥的主要破坏模式，并建立了钢筋混凝土肋拱桥体系可靠度分析的数学模型。采用带支护约束的临界强度法研究了该体系的破坏。通过对各种方法的比较，确定了体系可靠度解的形式化方法为钢筋混凝土拱桥体系可靠度计算方法，并给出了钢筋混凝土肋拱桥构件显著系数的计算公式。总结了某钢筋混凝土肋拱桥体系的可靠度分析过程，并通过算例验证了其有效性。研究结果可为钢筋混凝土肋拱桥体系的可靠度分析提供参考。

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

International Journal of Robotics & Automation 工程技术-机器人学

CiteScore

1.20

自引率

44.40%

发文量

审稿时长

8 months

期刊介绍： First published in 1986, the International Journal of Robotics and Automation was one of the inaugural publications in the field of robotics. This journal covers contemporary developments in theory, design, and applications focused on all areas of robotics and automation systems, including new methods of machine learning, pattern recognition, biologically inspired evolutionary algorithms, fuzzy and neural networks in robotics and automation systems, computer vision, autonomous robots, human-robot interaction, microrobotics, medical robotics, mobile robots, biomechantronic systems, autonomous design of robotic systems, sensors, communication, and signal processing.