JOURNAL ARTICLE

Comparative Sensitivity Analysis of Virtual Axle Approaches in Bridge Weigh-in-Motion Systems

Abstract

<p>Bridge Weigh-in-Motion (BWIM) has been widely used for axle load estimation and bridge health monitoring (BHM). However, traditional approaches to using BWIM for BHM require knowledge of gross vehicle weight (GVW), limiting its BHM capabilities. The virtual axle concept, which involves adding a weightless axle to detect structural changes, overcomes this limitation. This study compares strain-based, displacement-based, and rotation-based virtual axle approaches to determine their effectiveness for BHM. A vehicle-bridge interaction model is used to simulate BWIM under various damage conditions with different sensor placements. The Virtual Axle Indicator (VAI) is calculated to summarize virtual axle measurements, and sensitivity analysis is performed to evaluate each approach’s ability to detect bridge damage and changes in structural conditions.</p>

Keywords:
Axle Sensitivity (control systems) Bridge (graph theory) Weigh in motion Computer science Motion (physics) Motion analysis Structural engineering Engineering Artificial intelligence Electronic engineering Medicine

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
13
Refs
0.20
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Vibration and Dynamic Analysis
Physical Sciences →  Engineering →  Control and Systems Engineering
Structural Engineering and Vibration Analysis
Physical Sciences →  Engineering →  Civil and Structural Engineering
Transport Systems and Technology
Physical Sciences →  Engineering →  Mechanical Engineering

Related Documents

JOURNAL ARTICLE

Revised virtual axle method for damage detection using bridge weigh-in-motion systems

Joshua IrawanChul‐Woo KimDaniel CanteroTakumi Yokoyama

Journal:   Journal of Civil Structural Health Monitoring Year: 2025 Vol: 15 (8)Pages: 3731-3742
BOOK-CHAPTER

Bridge-weigh-in-motion for axle-load estimation

Year: 2015 Pages: 185-192
JOURNAL ARTICLE

Improved axle detection for bridge weigh-in-motion systems using fiber optic sensors

Myra LydonDesmond RobinsonSusan TaylorGiuseppina AmatoEugene J O BrienNezam Uddin

Journal:   Journal of Civil Structural Health Monitoring Year: 2017 Vol: 7 (3)Pages: 325-332
© 2026 ScienceGate Book Chapters — All rights reserved.