分析拱桥状况数据以确定全网控制和趋势

Kristopher Campbell, M. Lydon, N. Stevens, S. Taylor
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引用次数: 0

摘要

本文概述了基础设施部对电子桥梁管理数据库中 20 年来约 3500 座拱桥数据的初步分析。拱桥是最大的桥梁类型,占北爱尔兰桥梁总量的近 56%。这项初步分析旨在确定趋势,为今后的维护决策提供参考。对整个拱桥群的桥梁状况指标 (BCI) 平均值的考虑表明,整体状况可能存在地区差异,检查中也可能存在人为偏差。本文介绍了拱桥检测中记录的最常见的结构元素和相关缺陷。这表明条件最差的拱桥与冲刷和破坏有关。通过方差分析 (ANOVA) 发现,在桥梁生命周期的各个恶化阶段,功能、跨度数量和桥面宽度都是重要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Arch Bridge Condition Data to Identify Network-Wide Controls and Trends
This paper outlines an initial analysis of 20 years of data held on an electronic bridge management database for approximately 3500 arch bridges across Northern Ireland (NI) by the Department for Infrastructure. Arch bridges represent the largest group of bridge types, making up nearly 56% of the total bridge stock in NI. This initial analysis aims to identify trends that might help inform maintenance decisions in the future. Consideration of the Bridge Condition Indicator (BCI) average value for the overall arch bridge stock indicates the potential for regional variations in the overall condition and the potential for human bias in inspections. The paper presents the most prevalent structural elements and associated defects recorded in the inspections of arch bridges. This indicated a link to scour and undermining for the worst-conditioned arch bridges. An Analysis of Variance (ANOVA) analysis identified function, number of spans, and deck width as significant factors during the various deterioration stages in a bridge’s lifecycle.
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