Engineering, Civil

Article Computer Science, Interdisciplinary Applications

Automatic detection method of tunnel lining multi-defects via an enhanced You Only Look Once network

Zhong Zhou, Junjie Zhang, Chenjie Gong

Summary: This research proposes a deep learning-based model, YOLOv4-ED, to solve the challenges in traditional tunnel lining defect detection methods. By using EfficientNet as the backbone and introducing DSC, YOLOv4-ED achieves higher detection accuracy and efficiency. A tunnel lining defect detection platform (TLDDP) is built based on the robust and cost-effective YOLOv4-ED, enabling automated detection of various lining defects.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2022)

Article Construction & Building Technology

Investigation of the macro performance, mechanism, and durability of multiscale steel fiber reinforced low-carbon ecological UHPC

Kai Cui, Kaikang Liang, Jun Chang, Denvid Lau

Summary: This study developed a new low-carbon ultra-high-performance concrete using sulphoa-luminate cement, with the addition of steel fiber enhancing its performance and durability. The research also identified a multi-level and multiscale reinforced mechanism and a self-healing effect similar to regular concrete.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Article Construction & Building Technology

Pavement distress detection using convolutional neural networks with images captured via UAV

Junqing Zhu, Jingtao Zhong, Tao Ma, Xiaoming Huang, Weiguang Zhang, Yang Zhou

Summary: This study proposes using UAVs equipped with high-resolution cameras to collect pavement images for distress detection, trained three object-detection algorithms, and found that YOLOv3 performed the best. The findings of this research assist in inspecting non-destructive automatic pavement conditions.

AUTOMATION IN CONSTRUCTION (2022)

Article Construction & Building Technology

Establishing a 3D aggregates database from X-ray CT scans of bulk concrete

Mingzhi Wang, Xu Yang, Wei Wang

Summary: This study proposes a computational sequence to extract individual 3D concrete aggregates from computed tomography scans, establishing a database of 1442 aggregates with detailed information. Comparisons with existing reconstruction methods demonstrate that characterizing concrete composite with detailed information of each constituent can provide a more realistic representation of the composite. The vision of digital concrete with realistic aggregates input is further demonstrated through an example application.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Article Engineering, Marine

Dynamic analysis of a multi-column TLP floating offshore wind turbine with tendon failure scenarios

Yajun Ren, Vengatesan Venugopal, Wei Shi

Summary: This paper presents the design and dynamic analysis of a multi-column tension leg platform floating offshore wind turbine with broken tendons. The study examines the impact of tendon failure on the system performance, demonstrating the turbine's stability under various environmental conditions.

OCEAN ENGINEERING (2022)

Article Engineering, Civil

A Novel Spatio-Temporal Synchronization Method of Roadside Asynchronous MMW Radar-Camera for Sensor Fusion

Yuchuan Du, Bohao Qin, Cong Zhao, Yifan Zhu, Jing Cao, Yuxiong Ji

Summary: A novel spatio-temporal synchronization method is proposed for roadside MMW radar-camera sensor fusion, which effectively reduces temporal deviation and spatial deviation between the camera and radar. The method is validated using measurement data from Donghai Bridge in Shanghai, demonstrating significant improvements in spatial alignment.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Review Construction & Building Technology

Recycled aggregates from construction and demolition waste towards an application on structural concrete: A review

Fernanda de Andrade Salgado, Flavio de Andrade Silva

Summary: The construction sector plays a vital role in economies and has a significant impact on the environment. The use of recycled aggregate has a dual environmental advantage in reducing natural resource consumption and waste disposal. However, it may slightly affect the workability and compressive strength of concrete, which can be addressed by removing adhered mortar or sealing pores. Studies have shown the feasibility of using recycled aggregate in structural elements.

JOURNAL OF BUILDING ENGINEERING (2022)

Article Construction & Building Technology

Experimental investigation of mechanical characteristics for linings of twins tunnels with asymmetric cross-section

Hebin Zheng, Pengfei Li, Guowei Ma, Qianbing Zhang

Summary: In this study, a large-scale 3D combined geomechanical model test was conducted to investigate the mechanical characteristics of linings of asymmetrically closely-spaced twin-tunnels constructed in sandy ground. Experimental results revealed that the linings were in a state of compression during excavation, with the smaller diameter tunnel lining being susceptible to bias pressure. The change in stress release direction in the middle soil pillar was identified as the main reason for the stress state change in linings. Furthermore, numerical analyses were performed to verify the experimental results and discuss the influences of various factors on the mechanical behaviors of the linings and stratum.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2022)

Article Construction & Building Technology

Influence of recycled aggregates and carbon nanofibres on properties of ultra-high-performance concrete under elevated temperatures

Mohamed Amin, Ibrahim Y. Hakeem, Abdullah M. Zeyad, Bassam A. Tayeh, Ahmed M. Maglad, Ibrahim Saad Agwa

Summary: Research interest in producing sustainable ultra-high-performance concrete (UHPC) has been increasing recently. This study focuses on using recycled coarse aggregate (RCA) to replace 50% of the total natural coarse aggregate (NCA). The addition of carbon nanofiber (CNF) and steel fibers (SFs) improves the concrete properties, but also negatively affects workability.

CASE STUDIES IN CONSTRUCTION MATERIALS (2022)

Review Construction & Building Technology

A systematic review of personal thermal comfort models

Larissa Arakawa Martins, Veronica Soebarto, Terence Williamson

Summary: Personal comfort models have been shown to predict specific thermal comfort requirements more accurately than aggregate models, but there is a lack of diversity in building types, climate zones, seasons and participants involved in developing these models. There is also a lack of a unified and systematic framework for modeling development and evaluation, highlighting the challenges of black box models in the field.

BUILDING AND ENVIRONMENT (2022)

Review Construction & Building Technology

Structural crack detection using deep convolutional neural networks

Raza Ali, Joon Huang Chuah, Mohamad Sofian Abu Talip, Norrima Mokhtar, Muhammad Ali Shoaib

Summary: This article reviews the application of Convolutional Neural Networks (CNN) in civil structure crack detection, emphasizing the importance of CNN in image classification and segmentation, as well as analyzing recent developments. In addition to discussing machine learning methods, it also introduces the limitations of manual processing and image processing techniques in crack detection.

AUTOMATION IN CONSTRUCTION (2022)

Article Construction & Building Technology

Geotechnical properties of lime-geogrid improved clayey subgrade under various moisture conditions

Soheil Jahandari, Zhong Tao, Mohammad Saberian, Mahdi Shariati, Jie Li, Masoumeh Abolhasani, Mostafa Kazemi, Aida Rahmani, Maria Rashidi

Summary: The research found that the combined application of lime and geogrid to clayey subgrade significantly enhanced its ductility and geotechnical characteristics, but excessive water pressure caused separation between geogrid layers and subgrade, leading to reduced uniformity and consistency. Moreover, controlling moisture to optimal levels can maximize the performance of subgrade, while excess moisture beyond optimal levels resulted in more voids, decreasing geotechnical properties.

ROAD MATERIALS AND PAVEMENT DESIGN (2022)

Article Engineering, Civil

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

Parth Kothari, Sven Kreiss, Alexandre Alahi

Summary: This study explores the development of human trajectory forecasting, comparing handcrafted representations with deep learning methods, and proposing two data-driven approaches to effectively capture social interactions. By establishing the TrajNet++ benchmark and introducing new performance metrics, the superiority of the proposed method on real-world and synthetic datasets is validated.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Engineering, Civil

Novel joint for improving the collapse resistance of steel frame structures in column-loss scenarios

Li-min Tian, Mu-han Li, Lei Li, Dong-ye Li, Chong Bai

Summary: This study focuses on improving the collapse resistance of steel frame structures by welding corrugated steel plates between the flange of I-shaped beams and the column to create reinforced joints. The collapse resistance tests were conducted on the novel reinforced joints with welded and bolt-welded connections. The study analyzes the effects of the circular arc length, thickness, and central angle of the corrugated plates on the collapse resistance and proposes design recommendations. The results show that the reinforced joints significantly improve the bearing capacities and ductility of the steel frame structures without compromising their seismic behavior.

THIN-WALLED STRUCTURES (2023)

Article Engineering, Civil

A3C-Based Intelligent Event-Triggering Control of Networked Nonlinear Unmanned Marine Vehicles Subject to Hybrid Attacks

Zehua Ye, Dan Zhang, Zheng-Guang Wu, Huaicheng Yan

Summary: This paper focuses on the intelligent event-triggering-based positioning control of networked unmanned marine vehicle (UMV) systems with hybrid attacks. A stochastic switched Takagi-Sugeno (T-S) fuzzy system model is proposed for the UMV systems subject to DoS and Deception attacks, and an asynchronous advantage actor-critic (A3C) learning-based event-triggering approach is introduced to reduce communication load. The stability of the closed-loop system is analyzed using Lyapunov stability theory and switched system analysis, and the effectiveness of the proposed resilient control strategy is verified through a networked UMV system example.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Engineering, Civil

A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles

Qin Zou, Qin Sun, Long Chen, Bu Nie, Qingquan Li

Summary: SLAM is crucial for indoor navigation in autonomous vehicles and robots, with visual SLAM having drawbacks in tracking feature points in environments lacking texture. On the other hand, LiDAR SLAM can offer more robust localization by utilizing 3D spatial information directly captured by LiDAR point clouds.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Engineering, Marine

Horizontal dynamic response of pile in unsaturated soil considering its construction disturbance effect

Wenbing Wu, Zijian Yang, Xin Liu, Yunpeng Zhang, Hao Liu, M. Hesham El Naggar, Meijuan Xu, Guoxiong Mei

Summary: This paper investigates the horizontal dynamic response of a pile embedded in unsaturated soil considering the effect of construction disturbance. Analytical solutions are derived using the Laplace transform and transfer matrix method. Parametric study reveals that the horizontal dynamic response of the pile head is significantly influenced by the range and degree of construction disturbance.

OCEAN ENGINEERING (2022)

Article Construction & Building Technology

The effect of three-variable viscoelastic foundation on the wave propagation in functionally graded sandwich plates via a simple quasi-3D HSDT

Saeed Tahir, Abdelouahed Tounsi, Abdelbaki Chikh, Mohammed A. Al-Osta, Salah U. Al-Dulaijan, Mesfer M. Al-Zahrani

Summary: This article proposes a seismic design method for low-rise reinforced concrete special moment frame buildings, aiming to make the buildings ductile and able to withstand severe levels of earthquake shaking without collapsing through appropriate sizing and reinforcement detailing.

STEEL AND COMPOSITE STRUCTURES (2022)

Article Engineering, Civil

Seismic Performance of Self-centering Steel Frames with SMA-viscoelastic Hybrid Braces

Cheng Fang, Yiwei Ping, Yiyi Chen, M. C. H. Yam, Junbai Chen, Wei Wang

Summary: This study introduces a novel hybrid self-centering system that aims to overcome critical shortcomings found in existing solutions. By incorporating shape memory alloy elements and integrated viscoelastic dampers, the system effectively controls peak and residual deformation, as well as floor acceleration. The study also conducts a parametric analysis and provides design recommendations, along with proposing a probability-based residual deformation prediction model.

JOURNAL OF EARTHQUAKE ENGINEERING (2022)

Article Engineering, Civil

Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks

Wali Ullah Khan, Muhammad Awais Javed, Tu N. Nguyen, Shafiullah Khan, Basem M. Elhalawany

Summary: This paper introduces an energy-efficient resource allocation framework for the AmBC-enabled NOMA IoV network, aiming to maximize the total energy efficiency of the network while ensuring the minimum data rate of all IoVs. The proposed framework outperforms a benchmark conventional IoV framework in terms of performance.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)