YaBeSH Digital Library: Recent submissions
Now showing items 2461-2480 of 316660
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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 ... -
AI-Driven Database Development for Seismic Loss Estimation in Data-Deficient Regions Using Open-Source Data
(American Society of Civil Engineers, 2026)AbstractEstablishing a building database for city-level earthquake simulations remains challenging due to missing building information. To address this issue, this study proposes an integrated framework that systematically ... -
Multiobjective Runway Assignment Strategy for Integrated Airside Operations under Uncertainty
(American Society of Civil Engineers, 2026)AbstractAir traffic controllers in airport towers face high mental workloads as they manage dense and dynamic traffic within limited airport capacities, often leading to airside congestion, safety risks, and excessive fuel ... -
Automated Inspection in Robotic 3D Printing: In-Process Geometrical Measurements Using Structured Light Machine Vision
(American Society of Civil Engineers, 2026)AbstractAutomated geometrical inspection during robotic layer deposition remains a major challenge in the field of construction three-dimensional (3D) printing. Existing methods are mainly designed for postprocess inspection ... -
Three-Dimensional Reconstruction Algorithm for Concrete Bridge Piers Based on Octree-GS and the Climbing Robot Platform
(American Society of Civil Engineers, 2026)AbstractThree-dimensional (3D) reconstruction of bridge piers is critical in bridge digital inspection and digital twin technologies. To address the limitations of existing unmanned aerial vehicles (UAVs) and wall-climbing ... -
The Role of a Wearable Electrodermal Activity Sensor in Assessing Individual Fall Risk
(American Society of Civil Engineers, 2026)AbstractFalls are a critical health and safety issue, causing over 46,000 deaths, 8.5 million injuries, and $190 billion in costs annually in the United States. To effectively prevent falls, assessing fall risk ... -
Engine State Prediction Based on a Dynamic Model and Transfer Learning
(American Society of Civil Engineers, 2026)AbstractIn the actual diesel engine engineering scenario, fault data are scarce. Insufficient samples cause the model to over-memorize noise in the training data or details of specific samples rather than learning ... -
Research-to-Practice Drivers and Barriers: Visualization, Information Modeling, and Simulation Technologies in AEC/FM
(American Society of Civil Engineers, 2026)AbstractThe capital projects industry has seen numerous emerging technologies introduced to improve efficiency and productivity, yet few have been widely adopted and standardized, and only a small number of funded research ... -
Lightweight Cascade Algorithm for Concrete Crack Detection with Enhanced SSD Techniques
(American Society of Civil Engineers, 2026)AbstractThe detection and analysis of structural cracks in concrete bridges remain a critical challenge, particularly for routine inspections of key components such as beams, piers, and pavement. Cracks serve as vital ... -
Rapid Prediction of Regional Thermal Environment Parameters: A Method Based on Numerical Solution and Machine Learning Extension
(American Society of Civil Engineers, 2026)AbstractOutdoor microclimate is critical in assessing thermal comfort and building energy efficiency. However, traditional numerical simulations are limited by low computational efficiency due to their large model scales ... -
TailorAlert: Large Language Model–Based Personalized Alert Generation System for Road Infrastructure Management with Digital Twins
(American Society of Civil Engineers, 2026)AbstractDigital twins (DTs) have emerged as a promising tool in road infrastructure management, enabling real-time monitoring, proactive maintenance, and data-driven decision making. However, existing digital twin systems ... -
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning
(American Society of Civil Engineers, 2026)AbstractDigital twins (DTs) enable powerful predictive analytics, but persistent discrepancies between simulations and real systems—known as the reality gap—undermine their reliability. Coined in robotics, the term now ... -
Applying LLM-Based Attribute Extraction and Classification of Buildability and Operability Issues During Preconstruction
(American Society of Civil Engineers, 2026)AbstractThousands of mechanical, electrical, and plumbing (MEP) issues identified during preconstruction in large facility projects need to be resolved efficiently to avoid costly rework. Their resolution depends on the ...