Journal of Computing in Civil Engineering
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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
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Optimized Lightweight Edge Computing Platform for UAV-Assisted Detection of Concrete Deterioration beneath Bridge Decks
(American Society of Civil Engineers, 2025)This study introduces a transformative artificial intelligence of things (AIoT) framework that advances bridge maintenance by incorporating advanced inspection techniques. A central innovation is the Pilgrimage Walk ... -
Multisource Data Integration and Computer Vision Technology in Uncertainty Quantification of Live Loads
(American Society of Civil Engineers, 2025)Quantifying the uncertainty of live loads holds a significant reference value for reliability assessments at the component, structural, and even urban levels. Traditional survey methods are characterized by high survey ... -
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 ... -
Multilabel Sewer Pipe Defect Recognition with Mask Attention Feature Enhancement and Label Correlation Learning
(American Society of Civil Engineers, 2025)The coexistence of multiple defect categories as well as the substantial class imbalance problem significantly impair the detection of sewer pipeline defects. To solve this problem, a multilabel pipe defect recognition ... -
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 ... -
Minimum Distance Calculation Method for Collision Issues in Lifting Construction Scenarios
(American Society of Civil Engineers, 2024)In the construction process of prefabricated buildings, collision detection of the tower crane’s lifting path is of paramount importance. During the actual operation of a tower crane, attention is not only given to whether ... -
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 ... -
Learning-Based Picking and Placing Configuration Sampler for Mobile Crane Lift Path Planning
(American Society of Civil Engineers, 2025)Picking and placing configurations (PPCs) are critical for lifting-path planning, but are challenging to determine. The crane location regions (CLRs)-based sampler is an efficient method that can calculate PPCs, but it ... -
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 ... -
An Improved Random Forest–Based Operation Duration Prediction of Long-Distance Tunnel Construction Considering Geological Uncertainty
(American Society of Civil Engineers, 2025)Long-distance tunnel construction involves a sequence of construction operations that are influenced by various uncertain factors. Accurate operation duration prediction is critical to inform long-distance tunnel construction ... -
Inversion Identification of Cracks for Underground Shield Tunnel Structure Based on HHO-XFEM
(American Society of Civil Engineers, 2025)The crack damage of an underground shield tunnel structure is an important factor affecting its safety status. To evaluate the safety of the underground shield structure, based on the structure response measurement ... -
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 ... -
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. ... -
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 ... -
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 ... -
Fusion of Convolution Neural Network and Visual Transformer for Lithology Identification Using Tunnel Face Images
(American Society of Civil Engineers, 2025)This study proposes an intelligent method for recognizing the lithology of a tunnel working face by combining a convolutional neural network and visual transformer. First, an efficient method for collecting high-resolution ... -
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 ... -
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 ... -
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 ... -
Exploring the Efficacy of Artificial Intelligence in Speed Prediction: Explainable Machine-Learning Approach
(American Society of Civil Engineers, 2025)The primary concern regarding road design elements is traffic stream speed, which is considered a good indicator of travel quality. Although a great deal of time and effort is needed to estimate traffic stream speed from ...