Journal of Computing in Civil Engineering: Recent submissions
Now showing items 61-80 of 2121
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A Hybrid Framework for Predicting Crash Severity in Construction Work Zones Using Knowledge Distillation and Conditional GANs
(American Society of Civil Engineers, 2025)Construction work zone crashes represent a critical area of concern within the realm of traffic safety, posing unique challenges for both road users and transportation authorities. Common factors contributing to work zone ... -
Automating Pipe Spool Fabrication Shop Scheduling for Modularized Industrial Construction Projects Using Reinforcement Learning
(American Society of Civil Engineers, 2025)Industrial projects are primarily constructed using a modularized and prefabricated approach. Modules are produced in an offsite fabrication shop and then transported to the construction site for installation. Thus, timely ... -
Automatic Completion of Underground Utility Topologies Using Graph Convolutional Networks
(American Society of Civil Engineers, 2025)The absence of utility data, particularly about topological information, presents a significant impediment to the efficient management of underground utilities. Previous studies predominantly focus on general attributes ... -
Automated Part Placement for Precast Concrete Component Manufacturing: An Intelligent Robotic System Using Target Detection and Path Planning
(American Society of Civil Engineers, 2025)Placing embedded parts (EPs), e.g., junction boxes or plastic cable ducts, in a precast concrete (PC) component is a fundamental and repetitive trade in its manufacturing. Yet, such trade is far from being automated ... -
Vision-Based Body Pose Estimation of Excavator Using a Transformer-Based Deep-Learning Model
(American Society of Civil Engineers, 2025)Devoted to safety, efficiency, and productivity management on construction sites, a deep-learning method termed transformer-based mechanical equipment pose network (TransMPNet) is proposed in this research to work on images ... -
Understanding Construction Workers’ Risk Perception Using Neurophysiological Responses
(American Society of Civil Engineers, 2024)In the dynamic construction environment, workers’ safety heavily depends on their ability to effectively perceive and react to hazards. Accordingly, studies have assessed the status of workers’ risk perception using advanced ... -
Three-Dimensional Wireframe Reconstruction for Non-Manhattan-Shaped Point Clouds
(American Society of Civil Engineers, 2024)This study proposes a feature relationship algorithm (FRA) to reconstruct three-dimensional wireframes of objects with non-Manhattan shapes using segmented point clouds. Instead of relying on extracting target boundaries, ... -
Temporal- and Appearance-Guided Object Detection in Construction Machines Considering Out-of-Distribution Data
(American Society of Civil Engineers, 2025)The automation in the construction machine field requires a robust understanding of their surroundings and should be able to localize and classify surrounding objects robustly. State-of-the-art object detection algorithms ... -
Surface Feature and Defect Detection Method for Shield Tunnel Based on Deep Learning
(American Society of Civil Engineers, 2025)Surface defects in the segmental lining of shield tunnels, such as water leakage and damage, pose significant threats to safety. Currently, manual inspection methods are inefficient and inaccurate. Most artificial intelligence ... -
Road Visibility Detection Based on Convolutional Neural Networks with Point Cloud: RGB Fused Fog Images
(American Society of Civil Engineers, 2025)Fog imposes adverse effect on driving safety. Traditional visibility measurement methods are expensive and limited to a short distance along the roadway. This study aims to identify visibility levels from foggy road images ... -
Risk-Optimal and Equitable Retrofitting Strategy Using a Siamese Graph Neural Network for Earthquake-Induced Landslide Hazards
(American Society of Civil Engineers, 2025)Landslides pose a severe threat to road networks, particularly in hilly terrains, often exacerbated by triggering events such as earthquakes. Hence, it is crucial to comprehensively evaluate their risk and optimize retrofits ... -
Research on a BIM Model Quality Compliance Checking Method Based on a Knowledge Graph
(American Society of Civil Engineers, 2025)With the development of information technology, building information modeling (BIM) is becoming widely used in the construction industry. It is very important to ensure the quality and compliance of BIM models. To solve ... -
Real-Time Prediction of TBM Response Parameters Based on Temporal Convolutional Network
(American Society of Civil Engineers, 2025)Establishing an accurate predictive model for response parameters is the foundation of control parameter optimization for tunnel boring machines (TBMs). However, existing research mostly focuses on mean values during stable ... -
Real-Time Model Updating for Prediction and Assessment of Under-Construction Shield Tunnel Induced Ground Settlement in Complex Strata
(American Society of Civil Engineers, 2025)Accurate prediction of maximum ground settlement (MGS) is critical for preventing engineering accidents in tunnel construction. This study introduces a dynamic analysis approach utilizing data updating to predict MGS and ... -
Rapid Visual Screening of Buildings for Potential Seismic Hazards: Automated Deep-Learning Classification Approach
(American Society of Civil Engineers, 2025)Rapid visual screening (RVS) is a way to assess unsafe structures and reduce urban earthquake vulnerability; which is labor-intensive, time-consuming, and costly through conventional methods. Given that screening relies ... -
Railway-Fastener Point Cloud Segmentation and Damage Quantification Based on Deep Learning and Synthetic Data Augmentation
(American Society of Civil Engineers, 2025)Accurate detection and quantification of damage to railway fasteners are crucial for ensuring railway safety. The spatial damage defects caused by the complex shape of fasteners and the problem of data imbalance in actual ... -
Quantification and Evaluation of Roughness of Initial Support Using Terrestrial Laser Scanning
(American Society of Civil Engineers, 2025)The control of initial support roughness is crucial to the structural waterproofing, durability, and safety of the drilling and blasting tunnel. The existing manual-based measurement methods and evaluation systems have ... -
Prediction of the Sulfate Attack Resistance of Concrete Based on Machine-Learning Algorithms
(American Society of Civil Engineers, 2024)The thorough investigation into the evolution of concrete performance under sulfate attack environments holds significant importance for engineering applications in specific conditions. In this paper, a prediction model ... -
Predicting Max Scour Depths near Two-Pier Groups Using Ensemble Machine-Learning Models and Visualizing Feature Importance with Partial Dependence Plots and SHAP
(American Society of Civil Engineers, 2025)Assessing scour depth (Sd) near side-by-side, tandem, and eccentric bridge piers is crucial for designing resilient structures. Researchers employed soft computing techniques to enhance Sd prediction models, focusing on ... -
ANN-Powered Models for Predicting Shrinkage and Creep Properties of High-Performance Concrete Using Supplementary Cementitious Materials
(American Society of Civil Engineers, 2024)The prediction of the time-dependent behavior of high-performance concrete (HPC) structures is essential to evaluating their service life. This prediction relies on the shrinkage and creep properties of HPC. However, unlike ...