基于深度学习的螺栓松动角度定量分析

IF 3.1 3区工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

Buildings Pub Date : 2024-01-09 DOI:10.3390/buildings14010163

Yi Qian, Chuyue Huang, Beilin Han, Fan Cheng, Shengqiang Qiu, Hongyang Deng, Xiang Duan, Hengbin Zheng, Zhiwei Liu, Jie Wu

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引用次数: 0

摘要

螺栓连接已成为钢结构中应用最广泛的连接方式。在螺栓的长期使用过程中，由于各种因素的影响，不可避免地会出现松动损坏等缺陷。为了确保螺栓连接的稳定性，本文提出了一种基于计算机视觉技术的高效、精确的方法来识别给定结构中的松动螺栓。该方法的主要思路是将深度学习与图像处理技术相结合，从螺栓连接图像中识别并标注松动角度。以矩形钢板为测试研究对象，选取三颗 4.8 级普通螺栓进行研究。分析在手动松动和模拟松动两种条件下进行。结果表明，本文提出的方法能准确定位螺栓位置并识别松动角度，误差值约为±0.1°，证明了该方法的准确性和可行性，满足了结构健康监测的需要。

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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Quantitative Analysis of Bolt Loosening Angle Based on Deep Learning

Bolted connections have become the most widely used connection method in steel structures. Over the long-term service of the bolts, loosening damage and other defects will inevitably occur due to various factors. To ensure the stability of bolted connections, an efficient and precise method for identifying loosened bolts in a given structure is proposed based on computer vision technology. The main idea of this method is to combine deep learning with image processing techniques to recognize and label the loosening angle from bolt connection images. A rectangular steel plate was taken as the test research object, and three grade 4.8 ordinary bolts were selected for study. The analysis was conducted under two conditions: manual loosening and simulated loosening. The results showed that the method proposed in this article could accurately locate the position of the bolts and identify the loosening angle, with an error value of about ±0.1°, which proves the accuracy and feasibility of this method, meeting the needs of structural health monitoring.

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来源期刊

Buildings Multiple-

CiteScore

3.40

自引率

26.30%

发文量

1883

审稿时长

11 weeks

期刊介绍： BUILDINGS content is primarily staff-written and submitted information is evaluated by the editors for its value to the audience. Such information may be used in articles with appropriate attribution to the source. The editorial staff considers information on the following topics: -Issues directed at building owners and facility managers in North America -Issues relevant to existing buildings, including retrofits, maintenance and modernization -Solution-based content, such as tips and tricks -New construction but only with an eye to issues involving maintenance and operation We generally do not review the following topics because these are not relevant to our readers: -Information on the residential market with the exception of multifamily buildings -International news unrelated to the North American market -Real estate market updates or construction updates