Article
Polymer Science
Xin Lu, Konstantin Hicke, Mathias Breithaupt, Christoph Strangfeld
Summary: This study presents a preliminary investigation on distributed humidity monitoring during the drying process of concrete using embedded polymer optical fiber (POF). Experimental results indicate that the signal received at 650 nm increases, while the fiber attenuation factor at 500 nm clearly increases, which is consistent with the measurement result of the electrical humidity sensors embedded in the concrete sample.
Article
Construction & Building Technology
Mequanent Mulugeta Alamnie, Ephrem Taddesse, Inge Hoff
Summary: This paper investigates the linear viscoelastic properties of asphalt concrete using controlled-strain triaxial dynamic modulus test. The study shows that the response of asphalt concrete highly depends on stress at intermediate and high temperatures. The model analysis reveals that confining pressure strongly correlates with long-term relaxation modulus, absolute maximum slope of relaxation modulus, and viscoelastic damage parameter. A new shift model that considers the triaxiality ratio as an internal state variable in the time-temperature-pressure superposition principle (TTPSP) is proposed and validated. The results demonstrate that the stress triaxiality ratio coupled with TTPSP accurately describes the stress-dependent response of asphalt concrete in the linear viscoelastic domain.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Construction & Building Technology
Amirhossein Ghassemirad, Nura Bala, Leila Hashemian, Alireza Bayat
Summary: This study investigates the application of asphaltenes modified asphalt binders from different sources for high modulus base courses (HMAC). It was found that the modification of asphalt binders with asphaltenes had a significant impact on binder performance at high temperatures, meeting the performance grade requirements for HMAC applications.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Review
Construction & Building Technology
Jiawei Wang, Yifeng Han, Zhenglong Cao, Xiyong Xu, Jiake Zhang, Feipeng Xiao
Summary: Optical fiber sensors (OFS) are widely used in road engineering to monitor the condition and integrity of pavements. The development of this technology started in the early 21st century and has been extensively studied since then. This review summarizes the commonly used optical fiber sensors and their classification methodologies in road engineering. It also discusses the principles and applications of fiber Bragg grating (FBG) sensors and distributed optical fiber sensors (DOFS) in pavement monitoring. FBG sensors are capable of accurately measuring road strain, temperature, pressure, and weigh-in-motion (WIM) data. DOFS can measure pavement crack width, detect voids under concrete slabs, and obtain vehicle load information. However, further tests in real traffic conditions are needed to enhance the survival rate of fiber optic sensors and evaluate the accuracy of measurement results.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Engineering, Manufacturing
Hanghua Zhang, Lucen Hao, Shipeng Zhang, Jianzhuang Xiao, Chi Sun Poon
Summary: This study developed a novel method using distributed optical fiber sensors (DOFS) to measure the plastic shrinkage of 3D-printed concrete (3DPC) and monitor the cracking risks in the early stage. The feasibility of using optical frequency domain reflectometry to measure the plastic shrinkage of 3DPC was experimentally studied, with a coefficient of variation between 6.99% and 8.05% for the results obtained. This advanced measurement technique not only detects cracks but also predicts their occurrence.
ADDITIVE MANUFACTURING
(2023)
Article
Engineering, Electrical & Electronic
Samim Mustafa, Hidehiko Sekiya, Shogo Morichika, Iwao Maeda, Shozo Takaba, Aya Hamajima
Summary: The study investigated the feasibility of using embedded distributed optical-fiber sensors for fully distributed measurement in pavement structures. The experiments showed that DOFS has high spatial resolution and sensitivity in measuring pavement responses.
OPTICAL FIBER TECHNOLOGY
(2022)
Review
Optics
Ignazio Floris, Jose M. Adam, Pedro A. Calderon, Salvador Sales
Summary: Fiber Optic Shape Sensing technology utilizes fiber optic cables to track the 3D shape and position of dynamic objects in real-time, offering advantages such as ease of installation, intrinsic safety, compactness, and resistance to harsh environments. This technology has a wide range of applications in various fields and has the potential to bring significant improvements to Civil, Mechanical, Aerospace Engineering, Biomedicine, and Medicine.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Chemistry, Physical
V. Fuertes, N. Gregoire, P. Labranche, S. Gagnon, V. A. G. Rivera, S. LaRochelle, Y. Messaddeq
Summary: Alkaline earth nanoparticles grown in-situ on silica-based optical fibers hold great promise for distributed sensing applications. This study extends the previous observations on Ca-based nanoparticles to demonstrate that Sr-based nanoparticles can be suitable for fabricating low-loss Rayleigh scattering enhanced optical fibers with tunable performance. The research reveals the significant influence of preform and fiber manufacture conditions on the nanoparticle characteristics, enabling the tailoring of their features throughout the fabrication process. By improving the trade-off between Rayleigh scattering enhancement and optical losses, long-range sensing lengths from 8.6 m to 132 m are achieved.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Engineering, Multidisciplinary
A. Aitkulov, M. Sypabekova, C. Molardi, W. Blanc, D. Tosi
Summary: A technique for fabricating and interrogating fiber-optic refractive index sensors based on etched MgO-based nanoparticle doped fibers is proposed and evaluated in this study. The method involves using light backscattered by the fiber for detection, with sensor performance monitored using distributed sensing. Sensitivities of different etched fibers are compared, with a maximum sensitivity achieved at 45.95 nm/RIU and the potential for temperature compensation.
Article
Construction & Building Technology
Zhifei Tan, Denis Jelagin, Hassan Fadil, Zhen Leng, Rui Li, Jiwang Jiang, Peng Cao
Summary: In this study, a new virtual-specimen-based modeling approach was developed to account for aggregate contacts in asphalt concrete. The predicted complex moduli of gap-graded and dense-graded mixtures using this approach were compared with conventional image-based modeling and laboratory measurements. The virtual-specimen modeling showed that the contact region in gap-graded mixture with more large aggregates could transmit load better than in dense-graded mixture. Both modeling approaches provided good prediction accuracy, but the virtual-specimen models had more uniform and continuous stress distributions, enabling better computational convergence and nonlinear analysis of asphalt concrete.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Chemistry, Analytical
Mengmeng Chen, Haotian Ding, Mingming Liu, Zhigao Zhu, Dongdong Rui, Ye Chen, Fei Xu
Summary: Field tests were conducted on municipal roads and railways using a distributed acoustic sensor (DAS) to develop implementation research on distributed optical fiber sensing technology. The collected data were analyzed separately in short-term and long-term analyses, providing important information for developing data processing methods of DASs and promoting their implementation.
Article
Chemistry, Multidisciplinary
Shunshuo Cai, Yangyang Ju, Yangming Wang, Xiaowei Li, Tuan Guo, Haizheng Zhong, Lingling Huang
Summary: In this study, a novel oxygen optical fiber sensor based on halide perovskites and tilted fiber Bragg grating (TFBG) was demonstrated. The sensor showed fast response time and low limit of detection, making it suitable for accurate oxygen detection at low concentrations.
Article
Optics
Ali Masoudi, Martynas Beresna, Gilberto Brambilla
Summary: In this Letter, a distributed acoustic sensor (DAS) with a sensing range in excess of 150 km is reported. This extended sensing range is achieved by adding a low-loss enhanced-backscattering fiber at the far end of a standard single-mode fiber. The combined system exhibits a minimum detectable strain of 40 n epsilon at 1 Hz over a spatial resolution of 5 m.
Article
Engineering, Electrical & Electronic
Wei Feng, Mengfan Wang, Hailun Jia, Kang Xie, Guojie Tu
Summary: This paper proposes a method combining multi-frequency detection and nearest neighbor analysis to improve the accuracy of optical frequency domain reflectometry (OFDR) measurement. By comparing sub-phase curves in different wavelength regions, the interference of coherent fading is eliminated, resulting in undistorted phase signal. Experimental results show that the proposed scheme can achieve similar phase measurement accuracy under less frequency division, and obtain better spatial resolution.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Gerald Ekechukwu, Jyotsna Sharma
Summary: Distributed fiber optic sensors (DFOSs) are widely used for real-time monitoring of temperature, strain, vibration, etc. However, the quality of the measurements depends on the strength of the optical signal. This study found that microbending is the main cause of signal degradation in both single-mode and multimode fibers, and provided recommendations for minimizing degradation.
IEEE SENSORS JOURNAL
(2023)
Article
Physics, Multidisciplinary
Yinghao Miao, Jiaqi Wu, Yue Hou, Linbing Wang, Weixiao Yu, Sudi Wang
Article
Chemistry, Physical
Yinghao Miao, Weixiao Yu, Yue Hou, Liyan Guo, Linbing Wang
Article
Engineering, Aerospace
Lingjian Meng, Linbing Wang, Yue Hou
JOURNAL OF AEROSPACE ENGINEERING
(2019)
Article
Construction & Building Technology
Xin Qu, Dawei Wang, Yue Hou, Quan Liu, Markus Oeser, Linbing Wang
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2019)
Review
Engineering, Multidisciplinary
Yue Hou, Qiuhan Li, Chen Zhang, Guoyang Lu, Zhoujing Ye, Yihan Chen, Linbing Wang, Dandan Cao
Summary: Pavement is crucial for modern transportation and its service quality directly impacts public transportation safety. Monitoring structure dynamic responses and road surface conditions can help detect and analyze pavement damages, and advanced technologies are essential for data collection and analysis in future pavement engineering.
Article
Engineering, Civil
Yue Hou, Qiuhan Li, Qiang Han, Bo Peng, Linbing Wang, Xingyu Gu, Dawei Wang
Summary: MobileCrack is a lightweight CNN model designed for rapid identification of asphalt pavement cracks. By reducing input image size and optimizing neural network structure, it achieves satisfactory accuracy within reasonable computation time.
JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS
(2021)
Editorial Material
Materials Science, Multidisciplinary
Zhanping You, Jie Ji, Dawei Wang, Feng Li, Hui Yao, Yue Hou
FRONTIERS IN MATERIALS
(2021)
Article
Engineering, Civil
Ning Chen, Zijin Xu, Zhuo Liu, Yihan Chen, Yinghao Miao, Qiuhan Li, Yue Hou, Linbing Wang
Summary: The adaption to roads with different macro-textures is of great significance for autonomous driving technologies. In this study, pavement texture recognition using deep learning approaches was explored, and the data augmentation was performed using a Generative Adversarial Network (GAN) model. The results showed that deep learning methods outperformed manual classification and traditional machine learning methods in pavement texture recognition.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Yue Hou, Hongyu Shi, Ning Chen, Zhuo Liu, Han Wei, Qiang Han
Summary: This paper presents an engineering approach that integrates transfer learning with lightweight models for classifying and detecting concrete bridge distress. Experimental results show that this approach has the potential for application in intelligent transportation infrastructure maintenance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Review
Engineering, Civil
Jiaqi Chen, Hancheng Dan, Yongjie Ding, Yangming Gao, Meng Guo, Shuaicheng Guo, Bingye Han, Bin Hong, Yue Hou, Chichun Hu, Jing Hu, Ju Huyan, Jiwang Jiang, Wei Jiang, Cheng Li, Pengfei Liu, Yu Liu, Zhuangzhuang Liu, Guoyang Lu, Jian Ouyang, Xin Qu, Dongya Ren, Chao Wang, Chaohui Wang, Dawei Wang, Di Wang, Hainian Wang, Haopeng Wang, Yue Xiao, Chao Xing, Huining Xu, Yu Yan, Xu Yang, Lingyun You, Zhanping You, Bin Yu, Huayang Yu, Huanan Yu, Henglong Zhang, Jizhe Zhang, Changhong Zhou, Changjun Zhou, Xingyi Zhu
Summary: Sustainable and resilient pavement infrastructure is crucial for current economic and environmental challenges, with emerging new theories, methods, and materials related to pavement engineering. Predictions of pavement service life become increasingly complicated, requiring deep knowledge of pavement material analysis. A review paper published by the Journal of Traffic and Transportation Engineering analyzes the research status and future development direction of pavement engineering, providing references and insights for researchers and engineers in the field.
JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION
(2021)
Article
Construction & Building Technology
Ning Chen, Shibo Zhao, Zhiwei Gao, Dawei Wang, Pengfei Liu, Markus Oeser, Yue Hou, Linbing Wang
Summary: The study utilized virtual material design approach, deep learning, and deep data augmentation to predict the compressive strength of concrete with industrial wastes, demonstrating that deep learning methods have higher accuracy. A lightweight deep convolutional neural network was designed to improve computational efficiency and prediction accuracy.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Chemistry, Analytical
Hailu Yang, Yue Yang, Yue Hou, Yue Liu, Pengfei Liu, Linbing Wang, Yuedong Ma
Summary: Piezoelectric ceramics are used as signal sources for weigh-in-motion systems in road traffic monitoring due to their excellent electromechanical coupling characteristics and sensitivity. However, their measurement accuracy is affected by temperature. In this study, a new piezoelectric ceramic WIM sensor was developed and corrected using polynomial regression and a GA-BP neural network algorithm. The results showed that the GA-BP algorithm greatly reduced the influence of temperature, improving the sensor's stability and accuracy.
Article
Engineering, Civil
Yue Hou, Shibo Zhao, Zhongjun Xue, Shuo Liu, Bo Song, Dawei Wang, Pengfei Liu, Markus Oeser, Linbing Wang
Summary: This study conducted an intelligent analysis of subbase strain based on long-term monitoring and deep learning approaches, taking into account environmental conditions and the mechanical responses of other structural layers. The results showed that deep learning methods outperformed traditional machine learning algorithms in analyzing long-term monitoring data.
TRANSPORTATION GEOTECHNICS
(2022)
Article
Chemistry, Physical
Qiang Zheng, Yue Hou, Hailu Yang, Puchuan Tan, Hongyu Shi, Zijin Xu, Zhoujing Ye, Ning Chen, Xuecheng Qu, Xi Han, Yang Zou, Xi Cui, Hui Yao, Yihan Chen, Wenhan Yao, Jinxi Zhang, Yanyan Chen, Jia Liang, Xingyu Gu, Dawei Wang, Ya Wei, Jiangtao Xue, Baohong Jing, Zhu Zeng, Linbing Wang, Zhou Li, Zhong Lin Wang
Summary: In this study, a self-powered smart transportation infrastructure skin (SSTIS) is proposed for sustainable monitoring of traffic. The system includes self-powered flexible sensors and an intelligent analysis system based on AI, and has been shown to achieve high accuracy in vehicle classification. A mobile traffic signal information monitoring system is also developed for engineers to obtain vehicle data.
Article
Engineering, Civil
Yue Hou, Shuo Liu, Dandan Cao, Bo Peng, Zhuo Liu, Wenjuan Sun, Ning Chen
Summary: This study proposes an intelligent method based on limited field images to classify pavement crack images. By using data augmentation and crack extraction as preprocessing steps, combined with model selection and hyper-parameter tuning, the final approach significantly improves the test accuracy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
