Journal of Computing in Civil Engineering
Browse by
EISSN:1943-5487|ISSN:0887-3801|Disc:The Journal of Computing in Civil Engineering serves as a resource to researchers, practitioners, and students on advances and innovative ideas in computing as applicable to the engineering profession. Many such ideas emerge from recent developments in computer science, information science, computer engineering, knowledge engineering, and other technical fields. Some examples are innovations in artificial intelligence, parallel processing, distributed computing, graphics and imaging, and information technology. The journal publishes research, implementation, and applications in cross-disciplinary areas including software, such as new programming languages, database-management systems, computer-aided design systems, and expert systems; hardware for robotics, bar coding, remote sensing, data mining, and knowledge acquisition; and strategic issues such as the management of computing resources, implementation strategies, and organizational impacts|Priority:6|Publisher:American Society of Civil Engineers|
Recent Submissions
-
HangCon: Benchmark Data Set for Enhanced Detection of Hanging Objects in Construction Sites
(American Society of Civil Engineers, 2025)Lifting operations on construction sites pose significant safety risks due to the potential hazard of falling objects. Effective monitoring of hanging objects is crucial for preventing accidents and ensuring worker safety. ... -
Multimodal Data Fusion and Deep Learning for Occupant-Centric Indoor Environmental Quality Classification
(American Society of Civil Engineers, 2025)Amidst the growing recognition of the impact of indoor environmental conditions on buildings and occupant comfort, health, and well-being, there has been an increasing focus on the assessment and modeling of indoor ... -
Adaptive Information Filtering Method Based on Sensitivity Analysis for Bayesian Updating
(American Society of Civil Engineers, 2025)Bayesian updating is a powerful tool for updating engineering models with observed information. As a result of structural health monitoring sensors or platforms, up-to-date information reflecting characteristics of structures ... -
Graph Neural Network–Based Spatiotemporal Structural Response Modeling in Buildings
(American Society of Civil Engineers, 2025)Modeling structural responses is vital in building structural health monitoring. This study proposed the graph network–based structure simulator (GNSS), a method employing graph neural networks, for spatiotemporal structural ... -
Large-Span Spatial Structural Damage Recognition Based on a Transfer-Learning Improved LSTM Network
(American Society of Civil Engineers, 2025)The complexity of addressing long-time series data and data noise and outliers, overcoming the difficulties of cross-domain knowledge migration, and adapting to dynamic environmental factors are significant challenges in ... -
Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification
(American Society of Civil Engineers, 2025)The application of machine learning (ML) as an apparatus for structural health monitoring (SHM) has become increasingly prevalent recently as the domain moves toward autonomous structural inspections. Although significant ... -
Computer Vision-Based Intelligent Monitoring of Disruptions due to Construction Machinery Arrival Delay
(American Society of Civil Engineers, 2025)Construction disruptions often cause schedule delays and budget overruns. Accurate disruption monitoring is crucial for the timely recovery of affected construction projects. This study proposes a computer vision-based ... -
Data-Driven Deep-Learning Model for Predicting Jacking Force of Rectangular Pipe Jacking Tunnel
(American Society of Civil Engineers, 2025)The advancement of computer technology has led to the increased utilization of new algorithms, such as machine learning, in various fields including underground engineering. The estimation of jacking force plays a critical ... -
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 ... -
Genetic Algorithm and Grasshopper Optimization Algorithm with Metaoptimization and RL-Based Parameter Fine-Tuning and Their Comparison for Optimal Thermal Performance Analysis of Buildings in Tropical Climate
(American Society of Civil Engineers, 2025)Energy consumption by heating, ventilation, and air-conditioning systems has driven the need for energy-efficient building designs. This research presents a methodology for optimizing the design features of intermittently ... -
Synthetic Data Generation Techniques for Enhancing Crack Detection in Railway Concrete Sleepers
(American Society of Civil Engineers, 2025)Developing deep learning–based computer vision systems for the autonomous inspection of railway sleepers is a challenging task due to the difficulty in obtaining training images representative of the actual infrastructure. ... -
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 ... -
LiDAR-Simulated Multimodal and Self-Supervised Contrastive Digital Twin Approach for Probabilistic Point Cloud Generation of Rail Fasteners
(American Society of Civil Engineers, 2025)This study presents a novel deep-learning framework designed to efficiently generate high-fidelity three-dimensional (3D) point clouds of rail fasteners. The proposed method overcomes limitations associated with traditional ... -
Extraction of Rural Buildings with Different Main Structure Types Based on a Revised U-Net Model
(American Society of Civil Engineers, 2025)As a large agricultural country, China’s timely and accurate extraction of rural buildings from high spatial resolution remote sensing images plays a crucial role in rural revitalization. With the public availability of ... -
Damage Detection for a Cantilevered Steel I-Beam through Deep-Learning Methods: LSTM, Multivariate Time-Series Transformer, and LSTM-Based Autoencoder
(American Society of Civil Engineers, 2025)The structural integrity of steel trusses and I-beams is of vital importance for preventing the potential collapse of steel bridges when subjected to extraordinary forces. Thus, identifying damage to I-beams, which cannot ... -
Integrating Large Language Models with Multimodal Virtual Reality Interfaces to Support Collaborative Human–Robot Construction Work
(American Society of Civil Engineers, 2025)In the construction industry, where work environments are complex, unstructured and often dangerous, the implementation of human–robot collaboration (HRC) is emerging as a promising advancement. This underlines the critical ... -
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 ... -
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 ... -
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 ... -
ModulePacking: A Top-Down Generative Design Approach for Modular Key Plans
(American Society of Civil Engineers, 2025)Modular construction is increasingly recognized for its efficiency in production and assembly. Modularization, the design process that segments floor plans into discrete modular units to create a modular key plan, has been ...