基于深度学习方法进行病害检测和结构健康监测研究综述 (In Chinese)
本研究综述写于2020年7月11日，是提交给2020年春季学期的硕士研究生课程《专业论文写作》
(Research Paper Writing for Civil Engineering, Spring Semester 2020) 的结课论文。
Abstract: With the development of computer software and hardware equipment, the progress of big data analysis technology and deep learning theory, deep learning technology has been widely concerned in all walks of life and has a subversive impact. Introducing deep learning techniques into traditional civil engineering tasks such as structural health monitoring and damage detection has also attracted more and more researchers' attention. Firstly, the connotation and research progress of machine learning, deep learning, structure monitoring and damage detection are systematically introduced. Then the development process of deep learning and the latest influential literature in the field of civil engineering based on deep learning are reviewed and the current research is classified. This paper classifies the research from the perspectives of one-dimensional data, two-dimensional data, three-dimensional data and intelligent detection equipment. Additionally, the main research hotspots are summarized, including structural response prediction, damage location, structural performance evaluation, health monitoring data cleaning, automatic detection and segmentation of structural apparent diseases, intelligent construction, 3D reconstruction of structures, point cloud data segmentation and intelligent detection equipment. Finally, the future development of the field is prospected. This paper aims to provide reference for researchers in this field and promote the further development of related fields.
中文摘要： 随着计算机软硬件设备的发展、大数据分析技术和深度学习理论的进步，深度学习技术在各行各业受了广泛关注并产生了颠覆性的影响。将深度学习技术引入结构健康监测和病害检测等传统的土木工程任务也引起了越来越多的研究人员的关注。首先系统地介绍了机器学习、深度学习、结构监测和病害检测的内涵和研究进展。然后全面地回顾了深度学习的发展和基于深度学习的土木工程领域内有影响力的，最新的文献，对当前的研究进行了分类。从一维数据、二维数据、三维数据和智能化检测设备等角度对研究进行了科学的分类。此外，还对目前主要的研究热点进行了归纳，包括结构响应预测、损伤定位、结构性能评估、健康监测数据清洗、结构表观病害自动检测和分割、智慧施工、结构三维重建、点云数据分割和智能检测设备等等。最后，对领域的未来发展进行了展望。本文旨在为本领域研究人员提供借鉴和相关参考资料，推动相关领域的进一步发展。
本仓库里的两个PDF文件，即为课程论文。一个是英文版本，一个是中文版本。
Feel free to download them!
Don't hesitate to contact me if you have any questions.
By the way, I prefer the Chinese Version because I had to write the English course paper with the help of Google and Baidu translation software due to the time restriction. ┐(ﾟ～ﾟ)┌
If you find this useful, you are very welcome to cite this review! ↓↓↓
Hzlbbfrog, Damage Detection and Structural Health Monitoring Using Deep Learning: A State-of-the-Art Review,
Github. https://github.com/hzlbbfrog/Research-Review, 2020.