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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Advanced Crack Detection in Reinforced Autoclaved Aerated Concrete Using Generative Data Augmentation and Enhanced Segmentation
(American Society of Civil Engineers, 2025)Cracks in reinforced autoclaved aerated concrete (RAAC) pose significant structural risks, including water ingress, corrosion of reinforcement, and, in extreme cases, potential collapse. The challenge is worsened by the ... -
Systematic Analysis of the Impact of Data Preprocessing Techniques on Machine-Learning Model Performance: A Case Study of a Compressive Strength Prediction Model for Geopolymer Concrete
(American Society of Civil Engineers, 2025)Geopolymer concrete (GPC) is emerging as a sustainable alternative to ordinary Portland cement (OPC) concrete. However, developing mix designs for GPC presents unique challenges due to the variability in fly ash properties ... -
Crack Assessment Using Cascade Mask R-CNN and Dilation–Erosion Processing Technique
(American Society of Civil Engineers, 2025)Numerous studies have combined deep learning with image-based inspection to identify structural cracks. Some studies included the areas around the cracks in their labeling, requiring preprocessing for accurate quantification. ... -
Three-Dimensional Crack Quantification Using Fused LiDAR Data and Optical Images
(American Society of Civil Engineers, 2025)Cracking is a common issue in concrete structures, yet current assessment methods are not able to adequately quantify cracks in 3D spatial dimensions. This study proposes a simplified approach utilizing optical cameras and ... -
An Attention-Based Constrained Diffusion Model for Accessible Floor Plan Generation
(American Society of Civil Engineers, 2025)Designing floor plans is a critical part of the building planning and design process, involving numerous design constraints. Although significant efforts have been made to automate floor plan creation, existing methods ... -
Hierarchical Intersection over Union Method: A Comprehensive Evaluation for Floor Plan Vectorization
(American Society of Civil Engineers, 2025)Recent advancements in computer vision have significantly improved the performance of floor plan vectorization. However, achieving fair comparisons among different methods remains challenging because standard metrics often ... -
Automated FHWA Vehicle Classification Using Combined Semantic and Geometric Features Extracted from Surveillance Videos
(American Society of Civil Engineers, 2025)The US Federal Highway Administration (FHWA) vehicle classification scheme is designed to serve multiple transportation needs, such as road infrastructure design, pavement maintenance scheduling, and traffic-induced emission ... -
Digitalized and User-Centered System for Construction Site Layout Planning and Assessment
(American Society of Civil Engineers, 2025)This study addresses project managers’ challenges in drafting, evaluating, and communicating construction site layout plans (CSLP) due to the need for a specialized CSLP system. It highlights the absence of a scientific ... -
A Deep Learning Autoregressive Forecasting Model for Probabilistic Water Pipe Break Prediction
(American Society of Civil Engineers, 2025)Accurately predicting the likelihood of water pipe breaks is pivotal for proactive maintenance, cost-effective emergency repairs, and mitigating service disruptions. However, crafting a dependable predictive model for water ... -
Superpoint Transformer–Based Bridge Component Recognition Using UAV-Mounted LiDAR and Synthetic Point Cloud Generation
(American Society of Civil Engineers, 2025)Given the rapid rise in aging bridges, accurate and efficient inspection and maintenance have become increasingly critical. Point cloud data, rich in geometric details, plays a vital role in this process. Identifying ... -
Sequential Filling Method for Internal Holes in Road Elevation Map Based on Bilateral Filtering
(American Society of Civil Engineers, 2025)Road elevation maps have practical applications in fields such as civil infrastructure and autonomous driving systems. Higher-quality elevation maps are demanded in these fields. However, holes may occur within the elevation ... -
Vector-Quantized Variational Teacher and Multimodal Collaborative Student for Crack Segmentation via Knowledge Distillation
(American Society of Civil Engineers, 2025)This paper proposes a novel method for real-time crack segmentation in infrastructure inspection that achieves state-of-the-art performance. This approach leverages knowledge distillation, in which a vector-quantized ... -
An Efficient Three-Dimensional Point Cloud Segmentation Method for the Dimensional Quality Assessment of Precast Concrete Components Utilizing Multiview Information Fusion
(American Society of Civil Engineers, 2025)Significant discrepancies between the actual and designed dimensions of precast concrete (PC) components can result in construction delays and extensive rework, highlighting the imperative for dimensional quality assessment ... -
Deep Learning–Based Prediction of Human–Robot Trust Dynamics in Future Construction Using Worker Neuropsychophysiological Responses
(American Society of Civil Engineers, 2025)Because current construction activities are safety-critical and physically demanding, the incorporation of such autonomous technologies as robots and drones via worker–robot teaming has drawn interest from researchers and ... -
Multiview Space Function Classification in Apartment Buildings Using Image Deep-Learning Semantic Segmentation
(American Society of Civil Engineers, 2025)Image deep learning semantic segmentation (IDLSS) models have significant application potential for automating classification tasks in building design and engineering. Applying IDLSS to space function classification is ... -
Generation of Appearance-Driven Low-Poly Textured Building Models with Differentiable Rendering
(American Society of Civil Engineers, 2025)Building models, characterized by their expansive scale and intricate assembly of components, often possess inherently complex geometric forms. Efficiently accessing such models on low-resource hardware such as netbooks ... -
Multiple Camera-Based Digital Twin Creation and Dynamic Earthquake Simulation of Historical Masonry Minarets
(American Society of Civil Engineers, 2025)In recent years, video camera-based structural health monitoring has emerged as a viable method. With advanced cameras and software systems, achieving accurate results has become easier, and the accuracy rates of the ... -
Relative Flatness Analysis in Mobile Pavement Condition Monitoring Using Hybrid Solid-State LiDAR
(American Society of Civil Engineers, 2025)Given the need for more efficient and cost-effective periodic pavement monitoring across extensive road networks, this paper presents an innovative solution that leverages affordable solid-state Light Detection and Ranging ... -
A Compact Surface Reconstruction Method for Buildings Based on Convolutional Neural Network Fitting Implicit Representations
(American Society of Civil Engineers, 2025)Three-dimensional building models have a wide range of applications in smart cities, urban planning, and disaster assessment. However, how to efficiently represent 3D building models with fewer facets is still a pressing ... -
A Hybrid BIM-Fuzzy Model for Enhanced Assessment of Building Element Conditions
(American Society of Civil Engineers, 2025)This study addresses the critical challenge of managing building element defects, such as cracks and dampness, which contribute to increased repair and maintenance costs. Highlighting the need to minimize human error and ...