Article
Construction & Building Technology
Yang Chen, Jun Yang, Ruxin Yang, Xiangming Xiao, Jianhong (Cecilia) Xia
Summary: This study utilized map data and remote sensing images to identify urban functional zones in Shenyang, and evaluated their impact on the urban thermal environment. The results revealed a gradual decrease in land surface temperature in the city center, with public service facility land having the greatest influence on the urban thermal environment.
BUILDING AND ENVIRONMENT
(2022)
Review
Construction & Building Technology
Bai Zhang, Hong Zhu, Yuzhu Cheng, Ghasan Fahim Huseien, Kwok Wei Shah
Summary: Alkali-activated binders are considered promising alternatives to ordinary Portland cement due to their positive environmental effects and excellent mechanical properties and durability. However, significant shrinkage in alkali-activated composite systems can lead to harmful cracking, affecting the durability of concrete structures. Various shrinkage-mitigating strategies have been explored to enhance the mechanical behavior and reduce shrinkage in alkali-activated slag systems.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Engineering, Civil
Yuan Cao, Yongkui Sun, Guo Xie, Peng Li
Summary: This study introduced a sound-based fault diagnosis method for railway point machines, achieving over 99% diagnosis accuracy through feature selection and ensemble classifier optimization.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Yeongmin Ko, Younkwan Lee, Shoaib Azam, Farzeen Munir, Moongu Jeon, Witold Pedrycz
Summary: The proposed traffic line detection method, PINet, based on key points estimation and instance segmentation, is adaptive to various environments and computing power. PINet allows for choosing the size of trained models based on the target environment's computing power, achieving competitive accuracy and false positive rates on popular public datasets like CULane and TuSimple.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Construction & Building Technology
Chengcheng Wen, Peng Zhang, Juan Wang, Shaowei Hu
Summary: This paper introduces the enhancement mechanisms of various fibers on ultra-high-performance concrete (UHPC) and reviews the effects of these fibers on the mechanical properties, fiber-matrix bonding behavior, and durability of UHPC. The study also summarizes empirical formulas and theoretical models for predicting the properties of UHPC. The results suggest that fibers have the potential to enhance the strength of UHPC and the optimal fiber volume fraction may depend on the fiber type.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Van Quan Tran, Viet Quoc Dang, Lanh Si Ho
Summary: This study focused on evaluating the compressive strength of concrete made from recycled concrete aggregate (RCA) using different single and hybrid machine learning models. The results showed that the hybrid models outperformed single models in terms of prediction accuracy. This research provides valuable insights for the systematic evaluation of compressive strength prediction of recycled concrete.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Construction & Building Technology
Wanhui Feng, Yufei Wang, Junbo Sun, Yunchao Tang, Dongxiao Wu, Zhiwei Jiang, Jianqun Wang, Xiangyu Wang
Summary: The study investigated the mechanical characteristics of rubber-modified recycled aggregate concrete (RRAC) prepared from recycled aggregate (RA) and waste rubber particles (RPs) exposed to different temperatures. Results showed relationships between various parameters and established accurate predictive models for UCS and peak strain.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Construction & Building Technology
Yang Yu, Bijan Samali, Maria Rashidi, Masoud Mohammadi, Thuc N. Nguyen, Guang Zhang
Summary: This paper proposes a vision-based automated method for surface condition identification of concrete structures, which utilizes pre-trained CNNs, transfer learning, and decision-level image fusion to improve the accuracy of crack detection. The method is validated using a large dataset and shows superiority over single CNN models.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Civil
Z. L. Wang, Judy P. Yang, K. Shi, H. Xu, F. Q. Qiu, Y. B. Yang
Summary: The vehicle scanning method (VSM) is an indirect approach for bridge measurement that does not require sensors to be mounted on the bridge but only on the test vehicle. It has been extensively applied in various aspects of bridge measurement, such as construction of mode shapes, identification of damping ratios, and detection of damages. The indirect method offers advantages in terms of mobility, economy, and efficiency compared to the conventional direct method. The VSM has seen significant growth in research, with lab experiments, field tests, and the incorporation of modern devices enhancing its capabilities.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2022)
Article
Construction & Building Technology
Leonora Charlotte Malabi Eberhardt, Morten Birkved, Harpa Birgisdottir
Summary: The environmental impacts, resource consumption and waste generation from buildings have raised concerns in the political and industry sectors. Interest in adopting circular economy strategies to address these issues has grown, but there is still a lack of widespread adoption and fragmented development and implementation of circular economy strategies in the building industry. A systematic literature review was conducted to assess the connection between circular economy and design and construction strategies for new buildings. The study reveals the development of this field and provides directions for future research. The study also highlights the lack of knowledge about the environmental performance and benefits of different building design and construction strategies, which hinders the greater adoption of circular economy in the industry.
ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT
(2022)
Article
Engineering, Civil
Yuanhao Xu, Caihong Hu, Qiang Wu, Shengqi Jian, Zhichao Li, Youqian Chen, Guodong Zhang, Zhaoxi Zhang, Shuli Wang
Summary: This study proposes a deep learning neural network model based on LSTM networks and particle swarm optimization (PSO) to improve flood forecast accuracy and lead time. The model outperforms other models at different stations in the watersheds and is particularly effective for flood forecasting with lead times exceeding 6 hours.
JOURNAL OF HYDROLOGY
(2022)
Review
Construction & Building Technology
Hemn Unis A. Ahmed, Azad S. Mohammed, Ahmed Mohammed
Summary: Geopolymers are innovative cementitious materials that can potentially replace traditional Portland cement. The addition of nanoparticles enhances the properties of geopolymer composites, improving strength, durability, and microstructure.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Civil
Jian Zhong, Ming Ni, Huiming Hu, Wancheng Yuan, Haiping Yuan, Yutao Pang
Summary: The study introduces an uncoupled multivariate power model (UCMV-PM) for estimating the curvature ductility of four damage states of column sections, considering the effects of four factors. By proposing a simplified parametric calculation procedure, a large sample data set is quickly established, demonstrating high accuracy, strong practicability, and wide coverage.
Review
Construction & Building Technology
Beibei Sun, Guang Ye, Geert de Schutter
Summary: In this paper, the mechanical properties and reaction mechanisms of alkali-activated materials such as blast furnace slag (BFS-AAM), fly ash (FA-AAM), and the combination of BFS and FA (BFS/FA-AAM) are reviewed. The factors influencing the strength of these materials and the control factors are summarized. The study reveals that ion concentrations determined by the control factors play a decisive role in strength development.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Construction & Building Technology
Xiao Li, Weisheng Lu, Fan Xue, Liupengfei Wu, Rui Zhao, Jinfeng Lou, Jinying Xu
Summary: This study proposes a novel system architecture for a blockchain-enabled IoT-BIM platform and confirms its effectiveness in supply chain management through a case study.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Engineering, Marine
He Li, Cheng-Geng Huang, C. Guedes Soares
Summary: This paper proposes an FMEA-BN model for determining the inspection and opportunistic maintenance strategies of floating offshore wind turbines. The model utilizes a mapping algorithm to establish a mirrored Bayesian Network (BN) model based on failure mode and effect analysis (FMEA) structure, allowing for efficient consideration of common cause failures. By updating the failure probabilities of components using the BN sub-model, and utilizing the FMEA sub-model, this model suggests inspection and maintenance strategies for floating offshore wind turbines under various operation scenarios. The validation of the results demonstrates the effectiveness of the model in supporting real-time inspection and maintenance strategies determination for complex systems like floating offshore wind turbines.
Article
Engineering, Civil
Honghao Gao, Can Liu, Yuyu Yin, Yueshen Xu, Yu Li
Summary: This paper focuses on trust node management in VANETs, aiming to quantify node credibility to avoid malicious nodes. It introduces an integrated trust calculation method, combining direct and recommended trust, and ensures the weight of the latest information through a time sliding window and time decay function. Experimental results demonstrate the method outperforms baseline methods in packet delivery ratio and security.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Md Noor-A-Rahim, Zilong Liu, Haeyoung Lee, G. G. Md Nawaz Ali, Dirk Pesch, Pei Xiao
Summary: This paper presents a comprehensive survey on resource allocation schemes for vehicular networks, discussing the challenges and opportunities for resource allocations in modern vehicular networks, and outlining some promising future research directions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Construction & Building Technology
Caleb Debrah, Albert Ping Chuen Chan, Amos Darko
Summary: Despite the crucial role of green finance in green buildings, limited research and investment have been dedicated to this area. Asia has been the largest contributor in research in this field, yet it remains highly under-researched. The study highlights future research directions and emphasizes the need to enhance attention on the application of green finance in green buildings.
BUILDING AND ENVIRONMENT
(2022)
Article
Engineering, Civil
Cheng Fang, Dong Liang, Yue Zheng, Shiyuan Lu
Summary: The study introduces a novel type of SMA-HDR bearing with efficient restraint effect and energy dissipation capability, suitable for near-fault earthquake regions. The bearing design can significantly reduce bridge vibrations, mitigate potential seismic damage, and effectively alleviate pounding effect.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2022)
