Review
Construction & Building Technology
Raheb Hafezzadeh, Federico Autelitano, Felice Giuliani
Summary: This article provides a critical comparison between using Cold Mix Patching Materials (CMPMs) and Hot Mix Asphalt (HMA) in repairing potholes, covering various aspects such as repair techniques, productivity, and costs. By investigating the impact of crucial factors on the performance of CMPMs, it is noted that there is a growing worldwide interest in these solutions that initially started as fragmented industrial initiatives.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Raheb Hafezzadeh, Federico Autelitano, Felice Giuliani
Summary: This study focuses on the evaluation of the performance of cold mix patching materials (CMPMs) by proposing innovative solutions derived from pre-existing methodologies. The research identifies several parameters indicative of CMPMs' structural and functional performance, optimizing the mix design and quality assurance/ quality control (QA/QC) process. The findings suggest that new testing methods, such as Hubbard-Field and indentation stability tests, provide more accurate stability assessments for CMPMs. Additionally, customized test methods for raveling potential, bonding properties, and workability enhance the relevance of laboratory findings to practical applications.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Tao Wang, Mengxia Li, Xiaopei Cai, Zhiqiang Cheng, De Zhang, Guoqiang Sun
Summary: In this study, the composition of composite polymerized asphalt emulsions (CPAEs) as binders in cold patching materials (CPMs) was optimized using response surface methodology (RSM). The RSM models showed a strong correlation between multiple factors and responses. The optimal dosage of styrene-butadiene-styrene (SBS), styrene-butadiene rubber (SBR), and emulsifier in CPAEs was determined to be 7.32%, 7.78%, and 3.44% respectively, and validated by experiments. CPMs prepared with the optimal CPAEs demonstrated superior performance in resistance to various damages compared to non-modified CPMs.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Construction & Building Technology
Sang-Yum Lee, Tri Ho Minh Le, Yeong-Min Kim
Summary: The number of potholes in the world has increased rapidly due to various factors. Predicting and detecting potholes accurately is important for timely maintenance and safety enhancement. This study improves the prediction model by considering independent variables and suggests a computer vision-based system for pothole detection.
DEVELOPMENTS IN THE BUILT ENVIRONMENT
(2023)
Article
Computer Science, Information Systems
Yukti Aparna, Yukti Bhatia, Rachna Rai, Varun Gupta, Naveen Aggarwal, Aparna Akula
Summary: Potholes on roads are a major cause of accidents and vehicle wear and tear. Current pothole detection techniques have drawbacks, so this study aims to analyze the feasibility and accuracy of thermal imaging for pothole detection. Deep learning using convolutional neural networks approach is adopted, and a comparison between self-built and pre-trained models is conducted. The results show that thermal imaging achieved a highest accuracy of 97.08% with one of the pre-trained models. This study is important for guiding future research in the field of pothole detection.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Materials Science, Multidisciplinary
Linyu Li, Yangquan Huang, Zhutao Shao, Dongya Ren
Summary: This study investigated the influence of interface joint shape on pothole repair service life through experimental testing, finding that high viscoelastic emulsified asphalt with a 30-degree inclined joint had significantly higher bond strength and fatigue life compared to traditional pothole repairs.
FRONTIERS IN MATERIALS
(2021)
Article
Construction & Building Technology
Niannian Wang, Jiaxiu Dong, Hongyuan Fang, Bin Li, Kejie Zhai, Duo Ma, Yibo Shen, Haobang Hu
Summary: A low cost and automatic 3D reconstruction and segmentation system for potholes is proposed in this study. It consists of pavement pothole Structure-from-motion (PP-SFM) and a 3D point cloud segmentation network. PP-SFM is used for 3D reconstruction of multi-view 2D pothole images, and Trans-3DSeg with transformer module is developed for effective segmentation of 3D point cloud data. Experimental results show that the proposed system has better segmentation performance with low cost.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Arminda Almeida, Luis Picado-Santos
Summary: This paper provides an overview of the impact of climate change on asphalt road pavements and discusses various solutions. It emphasizes the importance of considering local climate conditions when implementing these solutions in planning, design, and maintenance processes.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
Surya Teja Swarna, Kamal Hossain, Yusuf A. Mehta, Alyssa Bernier
Summary: There is strong evidence that climate change is affecting pavement infrastructure worldwide. This study focuses on Canada and quantifies the impact of climate change on pavement performance, as well as identifies suitable adaptation strategies. Upgrading binder grade and increasing layer thickness are found to be effective strategies for mitigating pavement deterioration. The study also highlights the vulnerability of the east and west coasts of Canada to climate change compared to central regions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Green & Sustainable Science & Technology
Fangyuan Gong, Xuejiao Cheng, Bingjie Fang, Can Cheng, Yu Liu, Zhanping You
Summary: With the benefits of automation, precision, and speed, 3D printing technology has been successfully used in various fields and has brought positive socio-economic outcomes. The implementation of mature 3D printing technology can reduce the time, cost, labor, and safety risks in asphalt pavement maintenance. This study aims to demonstrate the development trends and key points of 3D printing technology for crack and light pothole maintenance engineering. It reviews the characteristics and maintenance methods of cracks and potholes, as well as the techniques and materials of 3D printing. It also summarizes and analyzes distress detection technology, equipment, printability evaluation, and the application of 3D asphalt printing in pavement maintenance. Recommendations are provided for further improvement in distress detection accuracy and efficiency, controlling the printing temperature and parameters, and using movable 3D printing robots or UAVs equipped with 3D asphalt printing devices for different types of cracks and potholes.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Environmental
Mehrdad Asadi Azadgoleh, Mohammad Mahdi Mohammadi, Ali Ghodrati, Seyed Sina Sharifi, Seyed Mohammad Mahdi Palizban, Arman Ahmadi, Ehsan Vahidi, Pooyan Ayar
Summary: This article provides a comprehensive review of contaminant leaching from asphalt pavements, including evaluation of leaching measurement methods, leaching from recycled asphalt materials, leaching characteristics of porous asphalt pavements, and waste-modified asphalt mixtures. It also offers critical discussions on bibliometric data, literature content, and knowledge gaps, aiming to assist highway agencies and environmental scientists in tackling this issue. Furthermore, potential research directions are suggested for future studies.
Article
Environmental Sciences
Danyu Wang, Zhen Liu, Xingyu Gu, Wenxiu Wu, Yihan Chen, Lutai Wang
Summary: In this study, an improved YOLOv3 object detection model was proposed for intelligent and accurate measurement of pavement surface potholes. By combining data augmentation and structure optimization, the proposed model showed significant improvement compared to the original YOLOv3 model and demonstrated good robustness.
Article
Construction & Building Technology
K. Lakshmi Roja, Hassan Yamani, Mohammed Sadeq, Eyad Masad
Summary: Due to population growth and construction projects, Qatar's roads are experiencing heavy traffic loads. To meet the demand for high-performance, sustainable, and cost-efficient pavements, the use of different asphalt modifiers and recycled materials in pavement layers has been emphasized. This study evaluates the performance of pavement sections with different asphalt mixtures under various traffic levels.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Computer Science, Information Systems
Sungan Yoon, Jeongho Cho
Summary: This study proposes a method to improve the learning performance of a CNN-based object detection model by generating synthetic data and enhancing the learning data. Additionally, the model's detection performance is further improved through the fusion of stereo-vision cameras' transformed disparity map.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Review
Engineering, Environmental
Liang He, Mengzhe Tao, Zhuang Liu, Zhi Cao, Jiqing Zhu, Jie Gao, Wim van den Bergh, Emmanuel Chailleux, Yue Huang, Kamilla Vasconcelos, Augusto Cannone Falchetto, Romain Balieu, James Grenfell, Douglas J. Wilson, Jan Valentin, Karol J. Kowalski, Lidija Rzek, Laszlo Gaspar, Tianqing Ling, Yu Ma
Summary: In order to address the global climate crisis and achieve carbon neutrality, the use of biomass materials to replace petroleum-based products and unrenewable resources is expected to be a widespread solution. This paper classifies biomass materials with potential application prospects in pavement engineering and summarizes their preparation methods and characteristics. The pavement performance of asphalt mixtures with biomass materials is analyzed, and the economic and environmental benefits of bio-asphalt binder are evaluated. The use of biomass materials for pavements reduces pollutants and dependence on petroleum-based products, making it environmentally beneficial with development potential.
Article
Construction & Building Technology
Amin Assadzadeh, Mehrdad Arashpour, Ioannis Brilakis, Tuan Ngo, Eirini Konstantinou
Summary: This study introduces a framework for synthetically generating large and accurately annotated images for excavator pose estimation, utilizing a game engine and domain randomization. Experimental results show that the model trained on synthetic data can achieve comparable performance to the one trained on real images.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Computer Science, Artificial Intelligence
Ying Hong, Haiyan Xie, Vahan Hovhannisyan, Ioannis Brilakis
Summary: Construction schedules are crucial for project success, but they often require experienced schedulers. This study proposes a graph-based method to find the most time-efficient construction sequence from historic projects, improving scheduling productivity and accuracy. Results indicate that earthwork sequences are the least time-efficient and frequent sequences learned from past projects are closer to the actual schedule.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Construction & Building Technology
Haiyan Xie, Ying Hong, Ioannis Brilakis
Summary: This research investigates the obstacles in project execution and proposes a decision tree model to map user needs and trace workflows. The results show that the most urgent needs in time-related risk management are decision support tools, preparation assistance for risk communication, and generation of risk mitigation scenarios.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Chemistry, Multidisciplinary
Mathias Artus, Mohamed Said Helmy Alabassy, Christian Koch
Summary: This study proposes a framework that combines automatic damage data acquisition and transfer with a damage information model for data exchange, addressing the issues of paper-based data acquisition and manual transfer between incompatible software or data formats during bridge inspections.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Ying Hong, Haiyan Xie, Gary Bhumbra, Ioannis Brilakis
Summary: This study proposes an ontology-based Recurrent Neural Network approach to bi-directionally translate between human written language and machinery ontological language. Experimental results show that the proposed approach has good performance in text generation accuracy, machine readability, and human understandability.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Construction & Building Technology
Yuandong Pan, Alexander Braun, Ioannis Brilakis
Summary: This paper introduces a novel method to enrich geometric digital twins of buildings by capturing important entities from the electrical and fire-safety domain. The method fuses laser scanning and photogrammetry to capture relevant objects, recognize them in 2D images, and map them to a 3D space. The resulting digital twin contains geometric information, semantic information, and useful text information, and can be used for condition monitoring, facility maintenance, and management.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Computer Science, Interdisciplinary Applications
Mathias Artus, Christian Koch
Summary: This study explores the concept of modeling damage information for bridges, defines a data model for damage information independently from the implementation, and explains the implementation process using an established standard. Functional tests show that the standard is suitable for delivering damage information, although several software programs lack proper implementation of the standard.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2022)
Article
Construction & Building Technology
Mershack O. Tetteh, Amos Darko, Albert P. C. Chan, Amirhosein Jafari, Ioannis Brilakis, Weiwei Chen, Gabriel Nani, Sitsofe Kwame Yevu
Summary: Green retrofitting of existing buildings (GREB) is an effective approach to reduce energy consumption and carbon emissions and improve people's well-being. However, there is a lack of comprehensive investigation into the value of research in this field. This study uses a scientometric review technique to analyze global research on GREB and provides insights for future research. The findings reveal the focus on energy efficiency retrofitting and the declining importance of occupant behavior and indoor environmental quality in current GREB practices.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Ying Hong, Haiyan Xie, Eva Agapaki, Ioannis Brilakis
Summary: The construction industry has long struggled with delays and cost overruns. This paper proposes a graph-based automated scheduling (GAS) method to capture, store, and reuse the tacit knowledge in construction schedules. The GAS method was validated on two case studies and proved to be more accurate in generating construction schedules compared to planned schedules.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Maciej Trzeciak, Kacper Pluta, Yasmin Fathy, Lucio Alcalde, Stanley Chee, Antony Bromley, Ioannis Brilakis, Pierre Alliez
Summary: This paper introduces a periodically collected data set on a construction site, aiming to evaluate the performance of SLAM algorithms used by mobile scanners or autonomous robots. The data set includes ground-truth scans, spatially registered and time-synchronized images, lidar scans, and inertial data. The paper also demonstrates how to measure the accuracy of SLAM algorithms against the ground-truth trajectory using a popular software package. This is the first publicly accessible data set of sequentially collected data on a construction site.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2023)
Review
Chemistry, Analytical
Viktor Drobnyi, Zhiqi Hu, Yasmin Fathy, Ioannis Brilakis
Summary: Most existing buildings were built based on 2D drawings, but building information models have become prevalent in recent years. However, it will take a long time for these models to be widely adopted in all existing buildings. This paper reviews the state-of-the-art practice and research for constructing and maintaining geometric digital twins, and proposes a new geometry-based object class hierarchy to prioritize automation.
Article
Construction & Building Technology
Ammar Hassan Osman, Mathias Artus, Hayder Alsaad, Christian Koch, Conrad Voelker
Summary: This study investigates the cooling effect of the thermoelectric cooling partition (Thecla) as a personalised comfort system and its impact on thermal comfort. The results show that Thecla has a better effect on the body under higher temperatures, and the integration of virtual reality enhances the visualization of thermal impact.
BUILDING AND ENVIRONMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Maciej Trzeciak, Ioannis Brilakis
Summary: In this paper, a dense 3D reconstruction pipeline is proposed to improve the resolution of point clouds captured by handheld scanners. Time-synchronized and spatially registered images and lidar sweeps are fused using spatial AI methods to generate higher resolution dense scans for progressive reconstruction. The results showed a reduction of 11% in overall point cloud noise and an increase in density by approximately six times.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Eva Agapaki, Ioannis Brilakis
Summary: This paper presents a framework called CLOI, which accurately generates labeled point clusters of important shapes in existing industrial facilities with minimal manual effort. CLOI combines deep learning and geometric methods to segment points into classes and individual instances. Experimental results show that CLOI can reliably segment complex and incomplete point clouds of industrial facilities, achieving 82% class segmentation accuracy. Compared to current practices, the proposed framework can save an estimated 30% of time on average.
COMPUTING IN CIVIL ENGINEERING 2021
(2022)
Article
Construction & Building Technology
Carlos A. Osorio-Sandoval, Walid Tizani, Estacio Pereira, Jelena Ninic, Christian Koch
Summary: This article demonstrates how BIM and a game engine can be used to facilitate the development and application of construction simulation models, reducing the complexity and improving the reuse of the models.
