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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YOLO-BFID: Real-Time Building Facade Inspection by Using an Advanced Artificial Vision Model Integrated with Drone Technology
(American Society of Civil Engineers, 2026)AbstractThis study presented the You Only Look Once (YOLO) for building façade inspection with drones (YOLO-BFID), an enhanced version of YOLOv11 designed to improve small detection and operate efficiently across challenging ... -
Addressing Data Scarcity in GPR Road Defect Detection: A Novel Framework Combining Stable Diffusion and Efficient GCP-YOLO
(American Society of Civil Engineers, 2026)AbstractThe application of deep learning to ground penetrating radar (GPR) detection of urban road subsurface defects is often limited by the scarcity of real-world data and high computational costs. To address this, we ... -
ArchPlanVQA: Benchmark and Comprehensive Evaluation of Vision-Language Models for Understanding Architectural Floor Plan CAD Drawings
(American Society of Civil Engineers, 2026)AbstractArchitectural plan computer-aided design (CAD) drawings constitute fundamental references for building whole life-cycle management. However, efficient querying, retrieval, and analysis of these drawings across ... -
A Data-Driven Assessment and Roadmap for Improving Risk Management Maturity in the Australian Construction Industry
(American Society of Civil Engineers, 2026)AbstractThis study presents a comprehensive assessment of risk management maturity in the Australian construction industry using a structured, data-driven approach based on the generic risk maturity model (GRMM). Although ... -
Optimizing Asphalt Compaction: Intelligent Compaction Roller Frequency and Machine Learning Prediction of In-Place Density
(American Society of Civil Engineers, 2026)AbstractTraditional destructive methods for assessing asphalt pavement compaction, such as core sampling, are time-consuming, costly, and provided limited spatial coverage. Nondestructive approaches are essential for ... -
Development and Evaluation of a Task-Adaptive and Hierarchical Deep Learning Framework for Multitype Damage Detection in Reinforced Concrete Structures
(American Society of Civil Engineers, 2026)AbstractWith the rapid advancement of deep learning, automated inspection of reinforced concrete (RC) structures has become increasingly viable. However, existing models are typically task-specific, limiting their utility ... -
DfMA-Oriented Rebar Design Optimization for Reinforced Concrete Slabs Using a Hybrid Mechanism Integrating Graph Neural Networks and Metaheuristic Algorithms
(American Society of Civil Engineers, 2026)AbstractReinforced concrete (RC) slabs are fundamental structural components in buildings and infrastructure, providing load-bearing capacity and overall stability. Optimizing rebar design for RC slabs is crucial for ... -
Vision Transformers and Pretraining for Windstorm Damage Assessment Using Internet Images
(American Society of Civil Engineers, 2026)AbstractRapid and accurate windstorm damage assessment is critical for effective disaster response. This assessment traditionally involves manual analysis of visual data collected by experts after the disaster, which is ... -
Deep Learning–Based Few-Shot Method for Detection and Evaluation of Tunnel Overbreak and Underbreak
(American Society of Civil Engineers, 2026)AbstractAccurate quantification of overbreak and underbreak is essential for tunnel quality, cost, and stability. Point-cloud methods struggle with sparse labels, heavy site noise, and strict profile continuity. We introduce ... -
An Efficient and Robust Model for Precise Surface Crack Segmentation on Concrete Bridge Structures
(American Society of Civil Engineers, 2026)AbstractThis paper proposes an efficient and robust model named bridge crack segmentation network (BCS-Net), tailored for high-precision segmentation of surface cracks on concrete bridges. BCS-Net adopts an encoder-decoder ... -
LLM-Driven Generative Agents for Simulating Occupant Feedback in Built Environments
(American Society of Civil Engineers, 2026)AbstractOccupant feedback plays a vital role in optimizing indoor environmental conditions in intelligent buildings. Yet in operational settings, such feedback is often sparse, delayed, or difficult to integrate into ... -
Lab-Scale Cable-Driven Parallel Robot Prototype for Automated Prefabricated Component Manipulation
(American Society of Civil Engineers, 2026)AbstractThis paper presents the design and evaluation of a lab-scale cable-driven parallel robot (CDPR) developed as a flexible platform for automated installation of prefabricated components onto exterior building envelopes. ... -
Causality Constrained Deep Learning for Explainable Risk Analysis of Bridge Pier Settlement
(American Society of Civil Engineers, 2026)AbstractDeep learning (DL) has significantly enhanced risk management in highway bridge operation. Although DL models exhibit strong predictive capabilities, their outputs derive from “black box” processes and cannot ... -
Real-Time Railway Bridge Disease Detection Algorithm on Embedded Platforms
(American Society of Civil Engineers, 2026)AbstractThis paper addresses the low efficiency of manual inspection of railway bridge diseases by proposing the YOLO-OSE algorithm. Deployable on embedded platforms and designed to work with unmanned aerial vehicle ... -
Automated Concrete Crack Detection System with Superresolution Enhancement and Hybrid Measurement Techniques
(American Society of Civil Engineers, 2026)AbstractDetecting surface cracks in concrete provides essential technical data for operating and maintaining concrete structures. This paper studies an automated system for bridge crack detection and measurement. Employing ... -
Development and Implementation of Machine Learning–Based Hierarchical Approach for Autonomous Retaining Wall Construction Using a Robotized Crane
(American Society of Civil Engineers, 2026)AbstractThe construction industry is facing significant challenges in labor shortages, low productivity, and safety issues. Although the implementation of robots can bring substantial advantages to the construction industry, ... -
Optimizing Semantic Segmentation of Corrosion Defects with Coordinated Attention and Feature Integration
(American Society of Civil Engineers, 2026)AbstractThe corrosion segmentation technique powered by deep learning enables early detection and timely intervention, effectively preventing further progression and ensuring the safety and extended service life of steel ... -
Enhanced RT-DETR Architecture for UAV-Based Pavement Defect Detection in Complex Civil Infrastructure Scenarios
(American Society of Civil Engineers, 2026)AbstractUncrewed aerial vehicle (UAV) inspection increasingly is employed in pavement defect detection due to its high mobility and wide-area coverage. However, challenges such as complex backgrounds, small-scale defects, ... -
A Context-Aware Progressive Approach to Imputing Multivariate Heterogeneous Data in Water Pipe Networks
(American Society of Civil Engineers, 2026)AbstractGiven the logistical and financial complications in routine inspection of water pipelines, data-driven forecasting models play a crucial role in prioritizing inspection and maintenance tasks for pipes with a higher ... -
Adaptive 3D Scanning and View Planning for Autonomous Mobile Robots: Field Implementation in Cluttered and Unknown Environments
(American Society of Civil Engineers, 2026)AbstractThis paper presents a field-deployable autonomous 3D scanning framework capable of self-decision-making in unknown, cluttered outdoor environments. The proposed system introduces a two-level decision logic that ...