ASCE: Recent submissions
Now showing items 221-240 of 107386
-
Sparse Damage Identification for Beam-Like Structures Using Multiple-Metric Fusion and Nuclear Norm Regularization
(American Society of Civil Engineers, 2026)AbstractThe increasing complexity of modern bridge structures necessitates more accurate and robust methods for structural health monitoring, particularly during both construction and service phases. In this paper, a novel ... -
Multiple Tuned Mass Damper Design for the Mitigation of Cantilever Beam Response
(American Society of Civil Engineers, 2025)AbstractThis study introduces an advanced framework for the design and optimization of multiple tuned mass dampers (MTMDs) to mitigate dynamic responses in cantilever beams subjected to both deterministic and stochastic ... -
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 ... -
A Digital Twin of Life-Cycle Bearing Based on a Defect-Guided Conditional Diffusion Model for Predicting Remaining Life under Limited Degradation Data
(American Society of Civil Engineers, 2026)AbstractAccurate prediction of the remaining useful life (RUL) for rolling bearings was essential to ensure the operational reliability and safety of complex industrial equipment. However, the lack of high-quality life-cycle ... -
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 ... -
BSCS-Net: A Lightweight Segmentation Network for Automated Bridge Surface Crack Detection
(American Society of Civil Engineers, 2026)AbstractTimely detection and repair of cracks play a critical role in ensuring traffic safety during bridge operation and maintenance. This paper proposes a lightweight, end-to-end segmentation network named bridge surface ... -
A Deep Learning Method Fusing Multiscale Temporal Features for Metro Tunnel Deformation Advanced Prediction
(American Society of Civil Engineers, 2026)AbstractDuring the excavation of foundation pits, accurately predicting the deformation of existing metro tunnel structures plays a crucial role in ensuring the safe operation of the metro system. In this paper, a novel ... -
Automated Fault Detection and Diagnosis of AHUs via Tabular-Based Methods Using Operational Data from a Large Office Building
(American Society of Civil Engineers, 2026)AbstractImplementing automated fault detection and diagnosis (AFDD) for air handling units (AHUs) is crucial for maintaining optimal indoor air quality and extending the operational life of equipment. However, previous ... -
On-Site Construction Worker Activity Monitoring Using Deep Learning
(American Society of Civil Engineers, 2026)AbstractLow productivity in the construction industry compared with other sectors is a longstanding concern. Traditionally, managers have relied on manual sampling of worker activities by monitoring task types and durations ...