Review
Materials Science, Characterization & Testing
Jianguo Zhu, Zhuangzhuang Mao, Dongliang Wu, Jiangfan Zhou, Dacheng Jiao, Wenxiong Shi, Wenying Zhu, Zhanwei Liu
Summary: This paper reviews the main active infrared thermography NDT techniques and presents the development of the active infrared thermography DNT technique in TBCs. By comparing the sensitivity, advantages, and disadvantages of these techniques in TBC NDT, it provides a significant reference for researchers to choose an appropriate method. The paper also discusses the fabrication techniques of artificial defects for calibration and the future trends in NDT for the TBC system based on the active infrared thermography NDT technique.
JOURNAL OF NONDESTRUCTIVE EVALUATION
(2022)
Article
Construction & Building Technology
Alper Ozmen, Erkut Sayin
Summary: In order to prevent earthquake damage to historical masonry structures, accurate information on their material properties is important for reliable computational modelling and strengthening intervention programs. This study compared destructive and non-destructive techniques used to evaluate the original and restoration stones of Tas,horan Church in Malatya, Turkey, presenting the test results.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Construction & Building Technology
Ihsan E. Bal, Dimitris Dais, Eleni Smyrou, Vasilis Sarhosis
Summary: This study introduces a monitoring method using reflective markers for crack development in masonry structures under near-infrared light, with experiments showing high accuracy and potential applications in heritage buildings and foundation settlement issues.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Thermodynamics
Bilawal Ramzan, Muhammad Sohail Malik, Milena Martarelli, Hafiz T. Ali, Mohammad Yusuf, S. M. Ahmad
Summary: This study is based on the detection of artificial surface flaws on an in-service railroad, with the use of non-destructive testing using active infrared thermography. The research focuses on comparing surface flaws on rough and smooth rail surfaces, quantitatively analyzing results through statistical image improvement of raw infrared images. The proposed framework offers a comprehensive and inexpensive solution for damage diagnosis for railway authorities.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Siavash Doshvarpassand, Xiangyu Wang, Xianzhong Zhao
Summary: Corrosion is a destructive phenomenon affecting almost all metals, and active infrared thermography is an online and non-intrusive method of non-destructive testing that has shown capabilities of detecting sub-surface metal loss. However, challenges such as thermal reflections, non-uniform stimulation, and lack of a priori knowledge hinder the effective observation of sub-surface defects.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Materials Science, Characterization & Testing
Qi Li, Hai Zhang, Jue Hu, Stefano Sfarra, Miranda Mostacci, Dazhi Yang, Marc Georges, Vladimir P. Vavilov, Xavier P. V. Maldague
Summary: With increasing attention paid to the protection of cultural relics, non-destructive testing (NDT) technologies such as infrared thermography (IRT) and Terahertz time-domain spectroscopy (THz-TDS) are proving to be valuable in detecting defects in ancient buildings and artworks. The present study explores the integration of online/offline background segmentation algorithms, commonly used in video processing, as a feature extraction tool with NDT. Experimental results demonstrate the superior performance of the proposed novel algorithms in detecting defects in a replica painting.
JOURNAL OF NONDESTRUCTIVE EVALUATION
(2023)
Article
Instruments & Instrumentation
Geetika Dua, Ravibabu Mulaveesala, Priyanka Mishra, Jasleen Kaur
Summary: This paper focuses on a highly depth resolved Frequency Modulated Thermal Wave Imaging (FMTWI) and its digitized version named as Digitized Frequency Modulated Thermal Wave Imaging (DFMTWI) for identifying subsurface Teflon patches in GFRP test specimens to simulate delaminations at various layers.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Construction & Building Technology
Nitin Nagesh Kulkarni, Koosha Raisi, Nicholas A. Valente, Jason Benoit, Tzuyang Yu, Alessandro Sabato
Summary: This research presents an automated approach for detecting sub-pavement voids using infrared (IR) images collected with an unmanned aerial vehicle. The approach achieved comparable accuracy to ground penetrating radar while reducing inspection time. The method outperformed other deep learning algorithms by 24% in detecting both visible and sub-pavement defects.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Environmental Sciences
Antonio Cosentino, Gian Marco Marmoni, Matteo Fiorucci, Paolo Mazzanti, Gabriele Scarascia Mugnozza, Carlo Esposito
Summary: This study explores the innovative use of digital image processing techniques to analyze the triggering conditions of shallow landslides. The combination of optical and infrared thermographic imaging is applied to laboratory-scale slopes, and change detection and digital image correlation analysis are conducted. The results show the reliability of the displacement time-series obtained through this approach, with the technique also able to detect anomaly signals before landslide occurrence.
Article
Chemistry, Analytical
Andrzej Katunin, Marko Nagode, Simon Oman, Adam Cholewa, Krzysztof Dragan
Summary: This study proposed a method to monitor hidden corrosion growth in metallic aircraft structures using a sequence of D-Sight images, by analyzing the images through geometric transforms and segmentation techniques to eliminate the influence of measurement conditions.
Review
Chemistry, Multidisciplinary
Patryk Kot, Magomed Muradov, Michaela Gkantou, George S. Kamaris, Khalid Hashim, David Yeboah
Summary: The study primarily focuses on the scope and recent advancements of Non-destructive Testing (NDT) application for SHM of concrete, masonry, timber, and steel structures. Researchers are addressing challenges such as data interpretation, analysis, and automation by applying artificial intelligence and machine learning algorithms. Additionally, combining multiple techniques is being explored to enhance accuracy and obtain additional parameters for measurement processes.
APPLIED SCIENCES-BASEL
(2021)
Review
Chemistry, Analytical
Sahar Hassani, Ulrike Dackermann
Summary: This paper provides a review of recent advances in sensor technologies for non-destructive testing (NDT) and structural health monitoring (SHM) of civil structures. Conventional and advanced sensor technologies are evaluated for their suitability in providing input parameters for NDT and SHM systems and in determining the health state of structures. The paper emphasizes the evaluation of selected technologies and associated data analytics, highlighting their limitations, advantages, and disadvantages. The presented sensing techniques include fiber optics, laser vibrometry, acoustic emission, ultrasonics, thermography, drones, microelectromechanical systems (MEMS), magnetostrictive sensors, and next-generation technologies.
Article
Humanities, Multidisciplinary
Guimin Jiang, Xin Wang, Jue Hu, Yang Wang, Xin Li, Dazhi Yang, Miranda Mostacci, Stefano Sfarra, Xavier Maldague, Qiang Jiang, Hai Zhang
Summary: In recent years, the conservation and protection of ancient cultural heritage have become increasingly important. Non-destructive testing (NDT) plays a crucial role in minimizing damage to the test subjects. This study used infrared thermography for non-invasive investigation and evaluation of ancient polyptychs, and numerical simulation to reduce the number of experiments on actual samples. The implementation of an image processing algorithm improved the observability and contrast of the experimental results.
Article
Engineering, Mechanical
Vaclav Triska, Tomas Chlebecek, Jakub Hnidka, Karel Manas
Summary: Honeycomb sandwich structures with carbon composite face sheets combined with aluminium or Nomex (R) honeycomb core are widely used in aircraft airframe structures due to their increased bending strength and stiffness combined with low weight. However, they are highly sensitive to certain types of damage, necessitating non-destructive inspection methods for structural health examination.
JOURNAL OF SANDWICH STRUCTURES & MATERIALS
(2021)
Review
Construction & Building Technology
Hojong Kim, Nirjal Lamichhane, Cheolsang Kim, Ranjit Shrestha
Summary: The review paper discusses the fundamental principles and applications of infrared thermography in building diagnostics. It highlights the potential and current limitations of this non-destructive technique.
Article
Engineering, Industrial
Chengke Wu, Peng Wu, Rui Jiang, Jun Wang, Xiangyu Wang, Ming Wan
Summary: This paper quantifies and compares the economic costs and social costs of Multiutility tunnels (MUT) and the traditional directly buried (DB) method. An agent-based model is developed to estimate traveller loss and combine it with economic costs to compare the Life Cycle Costs (LCC) of both methods. Results show that, when considering social costs, MUT brings more benefits than the DB method.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Engineering, Multidisciplinary
Siavash Doshvarpassand, Xiangyu Wang, Xianzhong Zhao
Summary: Corrosion is a destructive phenomenon affecting almost all metals, and active infrared thermography is an online and non-intrusive method of non-destructive testing that has shown capabilities of detecting sub-surface metal loss. However, challenges such as thermal reflections, non-uniform stimulation, and lack of a priori knowledge hinder the effective observation of sub-surface defects.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Industrial
Qiqi Zhang, Cong Xue, Xing Su, Peng Zhou, Xiangyu Wang, Jiansong Zhang
Summary: Named Entity Recognition (NER) plays a crucial role in construction management. This study introduces a NER method for Chinese construction documents based on Conditional Random Field (CRF). By utilizing a corpus design pipeline and a CRF model, this method successfully identifies named entities and improves construction management efficiency.
FRONTIERS OF ENGINEERING MANAGEMENT
(2023)
Article
Materials Science, Multidisciplinary
Genbao Zhang, Jiaqing Wang, Zhiwei Jiang, Cheng Peng, Junbo Sun, Yufei Wang, Changfu Chen, Amr M. Morsy, Xiangyu Wang
Summary: This investigation focuses on improving the workability and mechanical properties of self-compacting concrete (SCC) by using treated jute fibers and mineral powders as substitutes for Portland cement. The study concludes that mineral powders and jute fibers can significantly enhance the workability and mechanical properties of SCC, with the combination of 0.1% jute fibers and 75μm zeolite powders achieving the best results.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Materials Science, Multidisciplinary
Genbao Zhang, Changfu Chen, Junbo Sun, Kefei Li, Fan Xiao, Yufei Wang, Mengcheng Chen, Jizhuo Huang, Xiangyu Wang
Summary: This study investigated the influence factors of glass fiber-reinforced polymer (GFRP) rebar reinforced cemented soil, revealing that mechanical properties positively responded to cement proportion and curing period, while negatively correlated to water content. Machine learning models were utilized for prediction and a multi-objective optimization approach was successfully implemented.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Construction & Building Technology
Zhenhua Ren, Junbo Sun, Xiantao Zeng, Xi Chen, Yufei Wang, Weichen Tang, Xiangyu Wang
Summary: This study investigated the effects of different activation methods on the performance of copper slag and nano-graphite wrapped cementitious composites. The results demonstrated that the combined treatment of alkali excitation and ultrasonic vibration significantly improved the mechanical and conductive properties of the samples.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Chemistry, Physical
Genbao Zhang, Zhiqing Ding, Yufei Wang, Guihai Fu, Yan Wang, Chenfeng Xie, Yu Zhang, Xiangming Zhao, Xinyuan Lu, Xiangyu Wang
Summary: This research evaluates the combined enhancement of construction and demolition waste, polypropylene fiber, and sodium sulfate on the mechanical strength of cement stabilized soil (CSS), and uses machine learning techniques to predict the strength. The experimental results show that a specific mixture design can improve the compressive and flexural strength.
Article
Materials Science, Multidisciplinary
Junbo Sun, Yufei Wang, Kefei Li, Xupei Yao, Binrong Zhu, Jiaqing Wang, Qianqian Dong, Xiangyu Wang
Summary: Conductive fillers play an important role in the design of electrically conductive cementitious composites, and the chemical components of the fillers influence the strength and electrical resistance of the materials. This study investigates the interfacial properties of graphite particles, steel slags, and ground granulated blast furnace slag in the composites at the molecular level, and proposes a hybrid mixing design to balance the mechanical and conductive performance.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Chemistry, Analytical
Siavash Doshvarpassand, Xiangyu Wang
Summary: Infrared thermography plays a crucial role in detecting and characterizing hidden corrosion in industrial settings, with cold thermography proving to be a viable alternative to the commonly used heating method for defect detection. Simple analytical models can be used to estimate defect depth and diameter, and dynamic time warping (DTW) is employed to measure similarity between model and experimental time-series.
Article
Engineering, Civil
Li Hong, Xiangyu Wang, Wengang Zhang
Summary: This study presents an advanced reliability-based robust geotechnical design method for braced excavation, which considers multiple failures and uncertainty of statistical information. It demonstrates the effectiveness of the method through the application of two and three-objective optimization models. The study also discusses the performance of optimization algorithms and the application of multiple-objective models.
Article
Computer Science, Information Systems
Chongyi Liu, Xiangyu Wang, Honglei Xu
Summary: Graph Convolutional Networks have gained attention in the field of artificial machine intelligence and natural language processing for their ability to create sophisticated graph structures for feature engineering. In this paper, we propose a document-relational GCN that improves text classification accuracy by incorporating document-document relations as features.
Article
Nanoscience & Nanotechnology
Yunchao Tang, Yufei Wang, Dongxiao Wu, Zhonghe Liu, Hexin Zhang, Ming Zhu, Zheng Chen, Junbo Sun, Xiangyu Wang
Summary: This research presents the design and application of a low-cycle reciprocating loading test on 23 recycled aggregate concrete-filled steel tube columns and 3 ordinary concrete-filled steel tube columns. The study systematically investigates the influence of various parameters on the seismic performance of the specimens. The results show that all the specimens exhibit good hysteresis performance and a similar development trend of skeleton curve. The slenderness ratio has a more significant impact on the seismic index of the specimens compared to the axial compression ratio and the steel pipe wall thickness. Artificial intelligence is also employed to estimate the influence of parameter variation on the seismic performance of concrete columns, showing acceptable accuracy.
REVIEWS ON ADVANCED MATERIALS SCIENCE
(2022)
Article
Construction & Building Technology
Xinhua Yu, Pengfei Yu, Chao Wang, Di Wang, Weixiang Shi, Wenchi Shou, Jun Wang, Xiangyu Wang
Summary: This paper explores the integration of BIM and virtual reality (VR) technology to improve training in infrastructure management. By studying the applications of BIM and VR in fire evacuation and emergency response, a conceptual framework for integrating the two is proposed, enabling real-time visualization of the physical environment during training.
Article
Geochemistry & Geophysics
Yunxiang Zhao, Jianzhong Qi, Flip Korn, Xiangyu Wang
Summary: Building height estimation plays a crucial role in various applications. A new method using street scene images and 2-D maps has been proposed, which is more scalable than traditional methods. However, the method has limitations in handling complex street scene images. To address this, a robust method has been proposed which computes building height simultaneously from different image perspectives. Experimental results show that the proposed method outperforms traditional methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Construction & Building Technology
Bolin Wang, Mingang Zhai, Xiaofei Yao, Qing Wu, Min Yang, Xiangyu Wang, Jizhuo Huang, Hongyu Zhao
Summary: In this study, the printable and mechanical properties of 3D printable cementitious materials combined with industrial wastes were investigated. A high-sensitivity evaluation indicator was established to explore the influence of industrial wastes on the printability of 3D printable mortars.
Article
Instruments & Instrumentation
Zengrun Wen, Xiulin Fan, Kaile Wang, Weiming Wang, Song Gao, Wenjing Hao, Yuanmei Gao, Yangjian Cai, Liren Zheng
Summary: This study presents a transition from Q-switched state to continuous wave state in an erbium-doped fiber laser, accompanied by irregular mode-hopping. The results showed that the transition between these two states can be achieved by adjusting the pump power. Modulation peaks were observed on both the Q-switched pulse train and the continuous wave background, and the central wavelength fluctuated.
INFRARED PHYSICS & TECHNOLOGY
(2024)
