YaBeSH Digital Library: Recent submissions
Now showing items 7661-7680 of 316660
-
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 ... -
Expert Experience–Embedded Evaluation and Decision-Making Method for Intelligent Design of Shear Wall Structures
(American Society of Civil Engineers, 2025)Rapid progress in intelligent design technology for shear wall structures has significantly advanced the field. However, efficient evaluation and decision-making of various intelligent design outcomes remain challenging, ... -
Quantification and Evaluation of Roughness of Initial Support Using Terrestrial Laser Scanning
(American Society of Civil Engineers, 2025)The control of initial support roughness is crucial to the structural waterproofing, durability, and safety of the drilling and blasting tunnel. The existing manual-based measurement methods and evaluation systems have ... -
Estimation of Soil Water Characteristic Curve Using Machine-Learning Algorithms and Its Application in Embankment Response
(American Society of Civil Engineers, 2025)The parameters of the soil water characteristic curve (SWCC) play a pivotal role in the examination of unsaturated soil behavior. This study employs three machine learning models—random forest (RF), extreme gradient boosting ... -
A Hybrid Framework for Predicting Crash Severity in Construction Work Zones Using Knowledge Distillation and Conditional GANs
(American Society of Civil Engineers, 2025)Construction work zone crashes represent a critical area of concern within the realm of traffic safety, posing unique challenges for both road users and transportation authorities. Common factors contributing to work zone ... -
Automating Pipe Spool Fabrication Shop Scheduling for Modularized Industrial Construction Projects Using Reinforcement Learning
(American Society of Civil Engineers, 2025)Industrial projects are primarily constructed using a modularized and prefabricated approach. Modules are produced in an offsite fabrication shop and then transported to the construction site for installation. Thus, timely ... -
Advance Rate Predictions of Tunnel Boring Machines Using Bayesian-Optimized CNN-LSTM
(American Society of Civil Engineers, 2025)During the tunnelling process of a tunnel boring machine (TBM), accurately predicting the advance rate (AR) is highly desirable for enhancing construction efficiency and safety. Inaccurate AR estimates may lead to extended ... -
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 ... -
Rapid Visual Screening of Buildings for Potential Seismic Hazards: Automated Deep-Learning Classification Approach
(American Society of Civil Engineers, 2025)Rapid visual screening (RVS) is a way to assess unsafe structures and reduce urban earthquake vulnerability; which is labor-intensive, time-consuming, and costly through conventional methods. Given that screening relies ... -
Railway-Fastener Point Cloud Segmentation and Damage Quantification Based on Deep Learning and Synthetic Data Augmentation
(American Society of Civil Engineers, 2025)Accurate detection and quantification of damage to railway fasteners are crucial for ensuring railway safety. The spatial damage defects caused by the complex shape of fasteners and the problem of data imbalance in actual ... -
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 ... -
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 ... -
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 ... -
Construction Resource Identification under Complex Conditions of Navigation–Power Junction Project Based on Improved YOLOv8 and Monocular Vision
(American Society of Civil Engineers, 2025)Real-time understanding of on-site construction personnel and construction machinery input is beneficial to navigation-power junction construction management. However, navigation-power junction projects consist of numerous ... -
Surface Feature and Defect Detection Method for Shield Tunnel Based on Deep Learning
(American Society of Civil Engineers, 2025)Surface defects in the segmental lining of shield tunnels, such as water leakage and damage, pose significant threats to safety. Currently, manual inspection methods are inefficient and inaccurate. Most artificial intelligence ... -
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 ... -
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 ... -
Active Learning of Small Failure Probabilities of Highly Nonstationary Geotechnical Systems by Adaptive Bayesian Compressive Sensing and Subset Simulation
(American Society of Civil Engineers, 2025)Estimating small failure probabilities in complex geotechnical systems with highly nonstationary responses and time-consuming models is a significant challenge. The nonparametric adaptive Bayesian compressive sensing Monte ... -
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 ... -
Automatic Completion of Underground Utility Topologies Using Graph Convolutional Networks
(American Society of Civil Engineers, 2025)The absence of utility data, particularly about topological information, presents a significant impediment to the efficient management of underground utilities. Previous studies predominantly focus on general attributes ...