Article
Engineering, Civil
Wei Sun, Guangzhao Dai, Xiaorui Zhang, Xiaozheng He, Xuan Chen
Summary: In this study, a novel vehicle re-identification method, TBE-Net, is proposed which integrates global appearance and local region features through a multi-branch embedding network. By utilizing feature complementary learning and part-aware ability, the proposed TBE-Net improves the accuracy of vehicle re-identification.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Engineering, Civil
Chengke Wu, Peng Wu, Jun Wang, Rui Jiang, Mengcheng Chen, Xiangyu Wang
Summary: This study provides a detailed investigation into current data-driven bridge O&M decision-making, including mainstream data types, data management issues, and typical application areas. Challenges to implementing data-driven bridge O&M decision-making are identified, such as the lack of standard data needs and integration.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2022)
Article
Engineering, Civil
Liang Tan, Keping Yu, Long Lin, Xiaofan Cheng, Gautam Srivastava, Jerry Chun-Wei Lin, Wei Wei
Summary: Speech emotion recognition (SER) is becoming an important aspect of human-computer interaction for autonomous vehicles in the next generation of transportation systems. However, current vehicle-mounted SER systems have limitations in terms of communication network capacity and accuracy. To address these issues, a solution is proposed using a 5G-enabled space-air-ground integrated network to improve traffic efficiency and enhance the performance and user experience of autonomous vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Ze Liu, Yingfeng Cai, Hai Wang, Long Chen, Hongbo Gao, Yunyi Jia, Yicheng Li
Summary: The study utilizes radar and camera fusion sensing methods, matching observed values through Mahalanobis distance and performing data fusion to enhance environmental perception performance in severe weather conditions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Construction & Building Technology
Cheng Fang, Wei Wang, Canxing Qiu, Shuling Hu, Gregory A. MacRae, Matthew R. Eatherton
Summary: This paper summarizes recent technological advances in seismic resilient steel structures, covering aspects such as smart materials, novel members, and innovative design of structural systems. It also describes the challenges and areas for further development in incorporating these new design philosophies.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
(2022)
Review
Construction & Building Technology
Shanaka Kristombu Baduge, Sadeep Thilakarathna, Jude Shalitha Perera, Mehrdad Arashpour, Pejman Sharafi, Bertrand Teodosio, Amkit Shringi, Priyan Mendis
Summary: This article provides a state-of-the-art review of the applications of AI, ML, and DL in the building and construction industry, covering areas such as architectural design, material design, structural design, offsite manufacturing, construction management, smart operation, and circular economy. It also discusses data collection strategies, challenges in model development, and future trends in these domains.
AUTOMATION IN CONSTRUCTION
(2022)
Review
Construction & Building Technology
Bassam Tayeh, Abdullah A. Zeyad, Wael M. Emad, Shaker M. A. Qaidi, Afonso R. G. de Azevedo, Hemn Unis Ahmed
Summary: This article discusses recent advances in the production of mine tailings-based geopolymers composites (MT-GPC) as a potentially sustainable construction material, which transforms waste into value and reduces environmental hazards.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2022)
Article
Engineering, Civil
Changxi Ma, Guowen Dai, Jibiao Zhou
Summary: This paper proposes a short-term traffic flow prediction model based on traffic flow time series analysis and an improved long short-term memory network. By integrating bidirectional long-term memory network, the model shows better accuracy and stability compared to other models.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Construction & Building Technology
Mugahed Amran, Roman Fediuk, Hakim S. Abdelgader, G. Murali, Togay Ozbakkaloglu, Y. Huei Lee, Y. Yong Lee
Summary: Alkali-activated materials (AAMs) and steel fibers together have great potential in modern construction due to their superior bond strength and good interaction, leading to improved tensile strength and durability. Additional research is needed to further explore the application possibilities of fiber-reinforced alkali-activated concrete (FR-AAC) in different environmental conditions.
JOURNAL OF BUILDING ENGINEERING
(2022)
Review
Construction & Building Technology
Xiaonan Wang, Wengui Li, Zhiyu Luo, Kejin Wang, Surendra P. Shah
Summary: This paper comprehensively reviews and discusses the characteristics, design and application methods of Phase Change Materials (PCMs) in building construction, as well as their effects on energy consumption and construction reliability. Promising research directions and areas for optimization are proposed, along with the future development and potential applications of PCMs in buildings.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Reza Sarkhani Benemaran, Mahzad Esmaeili-Falak, Akbar Javadi
Summary: Resilient modulus (M-R) is crucial in the evaluation and design of flexible pavement foundations. Traditional experiment-based methods for determining M-R are time-consuming and expensive. In this study, an extreme gradient boosting-based (XGB) model is proposed to predict the resilient modulus of flexible pavement foundations. The model is optimized using various optimization methods and a large database. The results show that the proposed method accurately predicts the M-R of flexible pavement foundations.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2022)
Review
Construction & Building Technology
Asam Ahmed, Tianshu Ge, Jinqing Peng, Wei-Cheng Yan, Boon Tuan Tee, Siming You
Summary: Decarbonizing the building sector is crucial for mitigating climate change, and net-zero energy buildings are a promising approach to achieve this by reducing energy consumption and increasing the use of renewable energy. The design of net-zero energy buildings should consider various factors and utilize multi-criteria decision analysis methods.
ENERGY AND BUILDINGS
(2022)
Article
Engineering, Civil
Qingdong Chai, Yan Qing Wang
Summary: This study investigates the traveling wave vibration characteristics of spinning graphene platelets reinforced metal foam joined conical-cylindrical shells for the first time. The effects of graphene platelets allocation on vibration characteristics are explored, and it is found that allocating more graphene platelets in large-size pore regions is not suitable for increasing traveling wave frequencies. Furthermore, allocating graphene platelets in the conical shell segment can significantly improve traveling wave frequencies compared to the cylindrical shell segment or the whole joined conical-cylindrical shells.
ENGINEERING STRUCTURES
(2022)
Article
Engineering, Civil
ZiCheng Tao, ZhiNan Cui, JingQin Yu, Majid Khayatnezhad
Summary: This study confirms that artificial recharge is an effective strategy to increase the storage capacity of groundwater in Khatoon-Abad plain, Iran. Artificial recharge by direct injection of water prevents evaporation, runoff, and outflow, leading to an increase in aquifer water availability. Simulation results show that the impact of recharge during the study period varies from 3 km to more than 7 km, depending on the amount of recharge applied to the aquifer.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2022)
Review
Engineering, Civil
Guangyong Sun, Dongdong Chen, Guohua Zhu, Qing Li
Summary: This article provides a critical review on the advances in hybrid materials and structures for crashworthiness and energy absorption performance. It discusses the hybridization of different materials to maximize their functional roles in lightweight structures. The evaluation and comparison of various hybridized materials in terms of crashworthiness and energy absorption are also discussed.
THIN-WALLED STRUCTURES
(2022)
Article
Engineering, Civil
Guibing Zhu, Yong Ma, Zhixiong Li, Reza Malekian, M. Sotelo
Summary: This study investigates the tracking control problem of marine surface vessels (MSVs) in the presence of uncertain dynamics and external disturbances, considering undesirable faults and input saturation of actuators. A novel control scheme is proposed using a saturation function, event-triggered mechanism, and neural network technique, which is robust, adaptive, tolerant, and guarantees stable tracking of MSVs without prior knowledge of dynamics or faults. Simulation results demonstrate the effectiveness of the proposed scheme.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Construction & Building Technology
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, Funlade Sunmola, Saheed Ajayi
Summary: This study employs machine learning techniques to predict annual building energy consumption, finding Deep Neural Network as the most efficient predictive model, aiding in energy optimization at the early design phase.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Civil
Ricardo Roriz, Jorge Cabral, Tiago Gomes
Summary: This article presents the recent advances and technologies behind LiDAR sensors for the automotive industry, while highlighting the current and future challenges, providing insights on how to step towards better LiDAR solutions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Lei Liu, Ming Zhao, Miao Yu, Mian Ahmad Jan, Dapeng Lan, Amirhosein Taherkordi
Summary: This paper proposes a task offloading scheme in Vehicular Edge Computing (VEC) that utilizes multi-hop vehicle computation resources to improve response delay and enhance user experience.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Review
Construction & Building Technology
Mayank Mishra, Paulo B. Lourenco, G. V. Ramana
Summary: Structural health monitoring and damage assessment are complex tasks, but wireless IoT technology offers new solutions. By utilizing real-time sensor data and cloud-based storage systems, comprehensive assessments of structural health can be conducted, with applications in various fields.
JOURNAL OF BUILDING ENGINEERING
(2022)
