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大连理工大学 [57]

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期刊论文 [41]

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限定条件	专题：大连理工大学第一署名单位第一作者单位通讯作者单位

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	Artificial intelligence-based hull structural plate corrosion damage detection and recognition using convolutional neural network 期刊论文 APPLIED OCEAN RESEARCH, 2019, 卷号: 90 作者: Yao, Yuan; Yang, Yang; Wang, Yanpeng; Zhao, Xuefeng 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/02 Artificial intelligence CNN Hull structural plate corrosion Damage detection pattern
	Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network 期刊论文 COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2019, 卷号: 34, 页码: 616-634 作者: Li, Shengyuan; Zhao, Xuefeng; Zhou, Guangyi 收藏 \| 浏览/下载：38/0 \| 提交时间：2019/12/02 Concrete buildings Concrete construction Concretes Convolution Deep learning Drying Object detection Pixels Range finders Structural analysis Surface chemistry, Comparative studies Convolutional networks Laser range finders Learning-based methods Pixel level detection Real world situations Structural damage detection Structural damages, Damage detection
	Non-baseline method for damage detection in truss structures using displacement and strain measurements 期刊论文 ADVANCES IN STRUCTURAL ENGINEERING, 2019, 卷号: 22, 页码: 818-830 作者: Ren, Peng; Zhou, Zhi; Ou, Jinping 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/02 baseline data damage detection damage-sensitive feature mixed measurement transmissibility concept truss structure
	Method for detecting road pavement damage based on deep learning 会议论文 HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS XIII, 2019-01-01 作者: Li, Jiaqi; Zhao, Xuefeng; Li, Hongwei 收藏 \| 浏览/下载：26/0 \| 提交时间：2019/12/02 Pavement damage detection Convolutional neural network Faster R-CNN Deep learning Object detection
	Detection of sleeve grouting connection defects in fabricated structural joints based on ultrasonic guided waves 期刊论文 SMART MATERIALS AND STRUCTURES, 2019, 卷号: 28 作者: Li, Dongsheng; Liu, Hui 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/02 grout sleeve grouting defects guided waves damage index
	Damage identification in bridge structures subject to moving vehicle based on extended Kalman filter with l1-norm regularization 期刊论文 Inverse Problems in Science and Engineering, 2019 作者: Zhang, C.; Gao, Y.-W.; Huang, J.-P.; Huang, J.-Z.; Song, G.-Q. 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/02 Bridge decks Damage detection Electric measuring bridges Highway bridges Inverse problems Roads and streets Structural analysis Vehicles, Continuous beam bridges Damage Identification Distribution of element Identification algorithms L1 norm moving vehicular Pseudo measurements Stiffness reduction, Extended Kalman filters
	Autonomous bolt loosening detection using deep learning 期刊论文 Structural Health Monitoring, 2019 作者: Zhang, Y.; Sun, X.; Loh, K.J.; Su, W.; Xue, Z. 收藏 \| 浏览/下载：22/0 \| 提交时间：2019/12/02 Bolt tightening Computer vision Convolution Damage detection Imaging techniques Neural networks Structural analysis Structural health monitoring, Bolt damage detections Bolt loosening Convolutional neural network Extraction of characteristics Lighting conditions Manual intervention Structural damages Vibration condition, Deep learning
	Improved Kalman filter damage detection approach based on l(p) regularization 期刊论文 STRUCTURAL CONTROL & HEALTH MONITORING, 2019, 卷号: 26 作者: Huang, Jie-zhong; Li, Dong-sheng; Zhang, Chun; Li, Hong-nan 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/02 damage identification extended Kalman filter L-1 regularization L-p regularization precise integration method sparse characteristic
	Detection of Damaged Supports Under Railway Track Using Dynamic Response of a Passing Vehicle 期刊论文 INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS, 2019, 卷号: 19 作者: Zhang, Yao; Wang, Longqi; Zhao, Haisheng; Lie, Seng Tjhen 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/02 Damage frequency shift vehicle railway support degradation track
	Optical fiber sensor-based smart structures 会议论文 22nd World Congress of the International Measurement Confederation, IMEKO 2018, Belfast, United kingdom, 2018-09-03 作者: Zhou, Z.; Sasy Chan, Y.W.; Ou, J.P. 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/02 Architectural design Composite structures Damage detection Fiber optic sensors Information management Optical fibers, Case-studies Civil infrastructures Component levels High-accuracy Integrated systems Intelligent components Self-sensing Smart components, Structural health monitoring

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