桥梁健康监测最新趋势综述

N. Catbas, Onur Avcı
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引用次数: 7

摘要

结构损伤是土木工程结构固有的问题,桥梁也不例外。由于力学、环境和交通等多种因素的影响,对桥梁结构的损伤进行监测和跟踪是至关重要的。监测结构损伤的形成和传播对提高桥梁的使用寿命也有重要意义。桥梁健康监测(BHM)一直是工程师和相关人员研究的热点。虽然所有监测技术都旨在提供关于桥梁剩余使用寿命、安全性、完整性和可使用性的准确和决定性信息;保持桥梁的不间断运行在很大程度上依赖于对损伤发展和传播的理解。 在过去的几十年里,BHM方法在桥梁上得到了广泛的研究,新的方法已经开始被领域专家使用,特别是在过去的十年里。 新兴的方法,作为技术进步的产物,产生了方便的工具,并迅速被桥梁工程师采用。激光雷达、摄影测量、虚拟现实(VR)和增强现实(AR)、数字孪生、计算机视觉、机器学习和深度学习等最先进的技术现在已成为新一代BHM操作的一部分。 本文介绍了这些最新BHM技术的简要概述。
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A Review of Latest Trends in Bridge Health Monitoring
Structural damage is inherent in civil engineering structures and bridges are no exception. It is vital to monitor and keep track of damage on bridge structures due to multiple mechanical, environmental, and traffic-induced factors. Monitoring the formation and propagation of structural damage is also pertinent for enhancing the service life of bridges. Bridge Health Monitoring (BHM) has always been an active research area for engineers and stakeholders. While all monitoring techniques intend to provide accurate and decisive information on the remaining useful life, safety, integrity, and serviceability of bridges; maintaining the uninterrupted operation of a bridge highly relies on understanding the development and propagation of damage. BHM methods have been extensively researched on bridges over the decades, and new methodologies have started to be used by domain experts, especially within the last decade.  Emerging methods, as the products of the technology advancements, resulted in handy tools that have been quickly adopted by bridge engineers. State-of-the-art techniques such as LiDAR, Photogrammetry, Virtual Reality (VR) and Augmented Reality (AR), Digital Twins, Computer Vision, Machine Learning, and Deep Learning are now integrated part of the new-generation BHM operations. This paper presents a brief overview of these latest BHM technologies.
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来源期刊
CiteScore
3.00
自引率
10.00%
发文量
48
期刊最新文献
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