利用地面激光扫描快速测量斜拉桥拉索张力的方法

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-06-20 DOI:10.1111/mice.13288
Yin Zhou, Hong Zhang, Xingyi Hu, Jianting Zhou, Jinyu Zhu, Jingzhou Xin, Jun Yang
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引用次数: 0

摘要

本研究提出了一种快速、非接触式测量斜拉桥缆索力的新方法,包括基于测量缆索形状的缆索力计算方法和批量获取缆索真实形状的方法。首先,建立了基于测量索形的索力估算非线性回归模型,并提出了基于高斯-牛顿的索力求解方法。此外,还利用地面激光扫描技术收集电缆的几何数据。同时,提出了电缆点云的自动分割、降噪和中心线提取算法,以准确高效地获取电缆形状。通过精心设计的实验验证了所提出的电缆力计算方法的正确性,15 个测试样本的电缆力测量误差小于 1%。最后,在跨度为 460 米的斜拉桥上对所提出的点云自动化处理算法和索力测量方法进行了全面测试。所提出的方法对实际桥梁索拉力的测量精度与频率法相当,但现场检测效率是传统频率法的 9 倍。总之,本研究为斜拉桥的施工控制、健康监测、智能检测等领域提供了一种新的测量方法。
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Rapid measurement method for cable tension of cable-stayed bridges using terrestrial laser scanning
This study proposes a new method for the rapid and non-contact measurement of cable forces in cable-stayed bridges, including a cable force calculation method based on measured cable shapes and a batch acquisition method for the true shape of cables. First, a nonlinear regression model for estimating cable forces based on measured cable shapes is established, and a Gauss–Newton-based cable force solving method is proposed. Furthermore, terrestrial laser scanning technology is used to collect geometric data of the cables. Meanwhile, automatic segmentation, noise reduction, and centerline extraction algorithms for the cable point cloud are proposed to accurately and efficiently obtain the cable shape. The correctness of the proposed cable force calculation method is verified in a well-designed experiment, with the measurement error of cable forces for 15 test samples being less than 1%. Finally, the proposed point cloud automation processing algorithm and cable force measurement method are fully tested on a cable-stayed bridge with a span of 460 m. The measurement accuracy of the proposed method for actual bridge cable tension is comparable to that of the frequency method, but the detection efficiency on site is nine times higher than that of the traditional frequency method. Overall, this study provides a new measurement method for construction control, health monitoring, intelligent detection, and other fields of cable-stayed bridges.
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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