A literature review of next‐generation smart sensing technology in structural health monitoring
Advent of computationally efficient smartphones, inexpensive high‐resolution cameras,
drones, and robotic sensors has brought a new era of next‐generation intelligent monitoring …
drones, and robotic sensors has brought a new era of next‐generation intelligent monitoring …
Machine learning paradigm for structural health monitoring
Structural health diagnosis and prognosis is the goal of structural health monitoring.
Vibration-based structural health monitoring methodology has been extensively …
Vibration-based structural health monitoring methodology has been extensively …
Crack detection and quantification for concrete structures using UAV and transformer
Crack detection is of significant importance for concrete structural inspection. Unmanned
aerial vehicle (UAV)-based crack detection systems abound, but simply quantifying cracks …
aerial vehicle (UAV)-based crack detection systems abound, but simply quantifying cracks …
Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
This study conducts crack identification from real-world images containing complicated
disturbance information (cracks, handwriting scripts, and background) inside steel box …
disturbance information (cracks, handwriting scripts, and background) inside steel box …
Recent advancements in AI-enabled smart electronics packaging for structural health monitoring
Real-time health monitoring of civil infrastructures is performed to maintain their structural
integrity, sustainability, and serviceability for a longer time. With smart electronics and …
integrity, sustainability, and serviceability for a longer time. With smart electronics and …
Automatic seismic damage identification of reinforced concrete columns from images by a region‐based deep convolutional neural network
This paper proposed a modified faster region‐based convolutional neural network (faster R‐
CNN) for the multitype seismic damage identification and localization (ie, concrete cracking …
CNN) for the multitype seismic damage identification and localization (ie, concrete cracking …
Vision and deep learning-based algorithms to detect and quantify cracks on concrete surfaces from UAV videos
Immediate assessment of structural integrity of important civil infrastructures, like bridges,
hospitals, or dams, is of utmost importance after natural disasters. Currently, inspection is …
hospitals, or dams, is of utmost importance after natural disasters. Currently, inspection is …
Lightweight semantic segmentation of complex structural damage recognition for actual bridges
Y Xu, Y Fan, H Li - Structural Health Monitoring, 2023 - journals.sagepub.com
Although structural damage recognition has been extensively investigated using deep
learning and computer vision (CV) techniques, the following limitations exist for real-world …
learning and computer vision (CV) techniques, the following limitations exist for real-world …
Automatic pixel‐level crack detection and evaluation of concrete structures using deep learning
W Zhao, Y Liu, J Zhang, Y Shao… - Structural Control and …, 2022 - Wiley Online Library
To achieve effective inspection of reinforced concrete structures, a smart solution to obtain
quantitative crack information automatically from inspection is essential. Therefore, a novel …
quantitative crack information automatically from inspection is essential. Therefore, a novel …
[PDF][PDF] 人工智能时代的土木工程
鲍跃全， 李惠 - 土木工程学报, 2019 - manu36.magtech.com.cn
人工智能时代的土木工程 Page 1 第52 卷第5 期 土木工程学报 Vol. 52 No. 5 2019 年5 月
CHINA CIVIL ENGINEERING JOURNAL May 2019 人工智能时代的土木工程 鲍跃全李惠 (哈尔滨 …
CHINA CIVIL ENGINEERING JOURNAL May 2019 人工智能时代的土木工程 鲍跃全李惠 (哈尔滨 …