ASCE: Recent submissions
Now showing items 241-260 of 107386
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Unsupervised Domain Adaptation for Crack Segmentation via Cross-Domain Stylization and Dual Adversarial Feature Learning
(American Society of Civil Engineers, 2026)AbstractSurface crack segmentation is critical for infrastructure inspection, yet deep-learning-based methods are hampered by their reliance on large annotated data sets and poor generalization across domains due to ... -
Augmented Reality for Precast Concrete Manufacturing: A Comparative Study to Evaluate Positioning Accuracy and Efficiency
(American Society of Civil Engineers, 2026)AbstractAugmented reality (AR) has gained popularity in academia and industry, with previous studies highlighting its advantages in facilitating architectural design, construction management, and site safety. However, ... -
Characterizing and Mitigating Mounting’s Impact on Smartphone-Based Evaluation of Pavement Roughness
(American Society of Civil Engineers, 2026)AbstractSmartphones are increasingly used for monitoring road roughness conditions. However, the smartphone-based roughness index estimation system (sRIE) is vulnerable to variations in vehicle type, driving speed, and ... -
Full-Scale Experimental Investigation of Universal Filter for Joint Input and State Estimation
(American Society of Civil Engineers, 2026)AbstractStructural health monitoring depends significantly on the availability of input signals to assess system behavior. However, in most real-world applications, dynamic input loads are unknown or difficult to measure ... -
JCNet-Based Multidistress and Surface Feature Detection in Pavement Images at Pixel Level
(American Society of Civil Engineers, 2026)AbstractAutomated road maintenance depends on the accurate recognition of pavement distresses. Traditional manual inspection methods have difficulty meeting the high-frequency and high-precision detection for automated ... -
Automatic Indoor Building 3D Wireframe Modeling from Point Clouds Spatial Geometry Information for As-Built BIM
(American Society of Civil Engineers, 2026)AbstractThe complexity of indoor structures and various limitations of point clouds make automatic indoor three-dimensional (3D) wireframe modeling for 3D as-built building information modeling (BIM) suffer multiple ... -
Concealed Cold-Formed Steel Structural Members and Damage Assessment Integrating Ground Penetrating Radar with Vision Foundation Model
(American Society of Civil Engineers, 2026)AbstractTimely and accurate assessment of concealed cold-formed steel (CFS) structural members is essential for ensuring the integrity and longevity of buildings. Traditional inspection methods require partial or complete ... -
Graph-Based Human–Object Interaction Detection for Automated Worker Accountability Monitoring on Construction Sites
(American Society of Civil Engineers, 2026)AbstractEffectively monitoring worker accountability in construction project controls requires addressing the complex, dynamic interactions between workers and objects. However, existing human–object interaction (HOI) ... -
Automated and Fast Point Cloud Labeling Method for Training Data Augmentation Using Scan-versus-BIM Approach
(American Society of Civil Engineers, 2026)AbstractDeep learning-based point cloud semantic segmentation methods require extensive labeled datasets, which involve a tedious manual labeling process. Although synthetic-based approaches have been developed to reduce ... -
Quantifying Irrigation Water Demand through Optimized Daily Vapor Pressure Deficit Forecasting Using LSTM and Metaheuristic Algorithms
(American Society of Civil Engineers, 2026)AbstractThis study presents a robust computational framework that integrates long short-term memory (LSTM) neural networks with four advanced metaheuristic optimization algorithms: Nondominated Sorting Genetic Algorithm ... -
Road-Safety Data Collection Method for Autonomous Driving toward Smart Transportation
(American Society of Civil Engineers, 2026)AbstractThe advent of intelligent vehicles has enabled the real-time collection of road-safety data, which are critical for enhancing autonomous driving safety. This paper proposes a novel road-safety data collection method ... -
Accurate Measurement of Segment Dislocation for Shield Tunnels Based on Binocular Vision Technology
(American Society of Civil Engineers, 2026)AbstractSegment dislocation is a common and problematic issue for shield tunnel linings, which might significantly affect the structural safety and serviceability in severe cases. To improve the accessibility of segment ... -
Dynamic Nonuniform Layout Evaluation Method for Shield Tunneling Stratum Adaptability Based on Thrust Fluctuation Standard Deviation Coefficient
(American Society of Civil Engineers, 2026)AbstractThis study investigated a method to evaluate stratum adaptability in dynamically adapting nonequidistant layouts in shield tunneling. First, a segmented progressive reconstruction mechanism was established, with ... -
SIT-GAN: A Slice Image Translation Network for Asphalt Mixture
(American Society of Civil Engineers, 2026)AbstractIn asphalt mixture research, deep learning networks have been widely applied to analyze slice images, serving as a foundation for numerous further valuable research. However, the effectiveness of these networks is ... -
Computational Framework for Time-Dependent Reliability Assessment of Underground Water Distribution Pipeline Networks
(American Society of Civil Engineers, 2026)AbstractThis paper proposes a comprehensive computational framework for evaluating the time-dependent reliability of underground water distribution pipeline networks subject to corrosion-induced deterioration. The framework ... -
A Dual-Domain Deep Convolutional Variational Autoencoder Framework for Unsupervised Structural Health Monitoring Using Vision-Based Vibration Analysis
(American Society of Civil Engineers, 2026)AbstractThis study introduces a novel unsupervised machine learning approach for structural health monitoring (SHM), employing a dual-domain deep convolutional variational autoencoder (DD-CVAE). Conventional SHM techniques ... -
Deep Learning-Based Rapid 3D Reconstruction and Spatial Localization of Leakage in Shield Tunnels
(American Society of Civil Engineers, 2026)AbstractTo address the inefficiencies and limitations of traditional three-dimensional (3D) reconstruction methods for shield tunnels, particularly in visualization and leakage localization, this study proposes a deep ... -
2-DOF Seismic Response Analysis Model and GUI Program Development for Ancient Timber Palace-Style Structures Considering Column Rocking
(American Society of Civil Engineers, 2026)AbstractTo accurately predict the seismic nonlinear response of single-story palace-style ancient timber structures, a two-degree-of-freedom (2-DOF) lumped mass model is proposed. This model incorporates column rocking, ... -
Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection
(American Society of Civil Engineers, 2026)AbstractImage-based crack detection algorithms are increasingly in demand in infrastructure monitoring, as early detection of cracks is of paramount importance for timely maintenance planning. While deep learning has ... -
CMCAB: An Insertable Block for Concrete Crack Detection Based on Masked Convolution Attention
(American Society of Civil Engineers, 2026)AbstractCracks are frequent defects that pose significant potential threats to structural safety and property. Due to the inefficiency of traditional crack detection methods, deep learning techniques—particularly convolutional ...