基于计算机视觉的智能检测方法，用于检测柔性保护系统中能量耗散器的剩余能力

IF 5.6 1区工程技术 Q1 ENGINEERING, CIVIL

Engineering Structures Pub Date : 2024-11-04 DOI:10.1016/j.engstruct.2024.119262

Zhixiang Yu , Linxu Liao , Yuntao Jin , Lijun Zhang , Yongdin Tian , Wenjie Liao

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引用次数: 0

摘要

针对柔性保护系统中耗散器人工测量效率低、精度差、危险性高等问题，提出了一种基于计算机视觉的残差能力智能检测方法。该方法首先建立耗能器二元语义分割数据集，训练突出物检测深度神经网络对耗能器二元图进行分割，然后利用形态学图像处理和轮廓检测自动计算剩余能力。对 U2-Net、U2-Netp 和 BASENet 进行了训练，并通过一个包含 500 张环形耗能器图像的数据集进行了比较。通过准静态拉伸试验和全尺寸冲击试验对所提出的方法进行了验证。与最精确的积分计算方法相比，所提方法的误差不超过 3%，与最常用的人工检测方法相比，效率提高了约 25 倍。

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Computer vision-based intelligent detection method for the residual capability of energy dissipators in flexible protection systems

A residual capability intelligent detection method based on computer vision is proposed to address the issues of low efficiency, poor accuracy, and high danger in manual measurement of energy dissipators in flexible protection systems. The proposed method first establishes a binary semantic segmentation dataset for energy dissipators and trains a salient object detection deep neural network to segment the energy dissipator binary map; Then, it uses morphological image processing and contour detection to calculate the residual capability automatically. U²-Net, U²-Netp, and BASENet were trained and compared by a dataset with 500 ring-type energy dissipator images. The proposed method was validated through a quasi-static tensile test and a full-scale impact test. Compared with the most accurate integration calculation method, the error of the proposed method does not exceed 3 %, and the efficiency is improved by about 25 times compared to the most commonly used manual detection method.

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来源期刊

Engineering Structures 工程技术-工程：土木

CiteScore

10.20

自引率

14.50%

发文量

1385

审稿时长

67 days

期刊介绍： Engineering Structures provides a forum for a broad blend of scientific and technical papers to reflect the evolving needs of the structural engineering and structural mechanics communities. Particularly welcome are contributions dealing with applications of structural engineering and mechanics principles in all areas of technology. The journal aspires to a broad and integrated coverage of the effects of dynamic loadings and of the modelling techniques whereby the structural response to these loadings may be computed. The scope of Engineering Structures encompasses, but is not restricted to, the following areas: infrastructure engineering; earthquake engineering; structure-fluid-soil interaction; wind engineering; fire engineering; blast engineering; structural reliability/stability; life assessment/integrity; structural health monitoring; multi-hazard engineering; structural dynamics; optimization; expert systems; experimental modelling; performance-based design; multiscale analysis; value engineering. Topics of interest include: tall buildings; innovative structures; environmentally responsive structures; bridges; stadiums; commercial and public buildings; transmission towers; television and telecommunication masts; foldable structures; cooling towers; plates and shells; suspension structures; protective structures; smart structures; nuclear reactors; dams; pressure vessels; pipelines; tunnels. Engineering Structures also publishes review articles, short communications and discussions, book reviews, and a diary on international events related to any aspect of structural engineering.