An academic processing and support platform focusing on journal databases, submission and review, and pre-typesetting.
周重杨
Wen Yuan (Middle School Edition) 2022 No.11
苏交科集团检测认证有限公司
为了推动公路桥梁的智能检测技术进步,本研究深入探索了桥梁结构缺陷的检测方法和算法,同时结合国内外最新研究成果对桥梁病害识别进行介绍,经过实验和实际应用的深入分析,我们对各种技术和算法的长处和短处进行了总结,并对其未来的趋势进行了预测。
桥梁结构;缺陷检测;非破坏性检测;图像处理;机器学习
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Language: 中文
CN:11-9275/G
ISSN:2096-627X
Publication Frequency: 月刊
An academic processing and support platform focusing on journal databases, submission and review, and pre-typesetting.