| Title: | Using statistical analysis of an acceleration-based bridge weigh-in-motion system for damage detection |
|---|
| Authors: | ID O'Brien, Eugene J. (Author)
ID Khan, Muhammad Arslan (Author)
ID McCrum, Daniel Patrick (Author)
ID Žnidarič, Aleš (Author) |
|---|
| Files: |  URL - Source URL, visit https://www.mdpi.com/2076-3417/10/2/663
Description: Open Access
 PDF - Presentation file, download (8,01 MB)
MD5: 9BB19601ABEA1618EE745D7B3A377734
|
|---|
| Language: | English |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: |  ZAG - Slovenian National Building and Civil Engineering Institute
|
|---|
| Abstract: | This paper develops a novel method of bridge damage detection using statistical analysis of data from an acceleration-based bridge weigh-in-motion (BWIM) system. Bridge dynamic analysis using a vehicle-bridge interaction model is carried out to obtain bridge accelerations, and the BWIM concept is applied to infer the vehicle axle weights. A large volume of traffic data tends to remain consistent (e.g., most frequent gross vehicle weight (GVW) of 3-axle trucks); therefore, the statistical properties of inferred vehicle weights are used to develop a bridge damage detection technique. Global change of bridge stiffness due to a change in the elastic modulus of concrete is used as a proxy of bridge damage. This approach has the advantage of overcoming the variability in acceleration signals due to the wide variety of source excitations/vehicles–data from a large number of different vehicles can be easily combined in the form of inferred vehicle weight. One year of experimental data from a short-span reinforced concrete bridge in Slovenia is used to assess the effectiveness of the new approach. Although the acceleration-based BWIM system is inaccurate for finding vehicle axle-weights, it is found to be effective in detecting damage using statistical analysis. It is shown through simulation as well as by experimental analysis that a significant change in the statistical properties of the inferred BWIM data results from changes in the bridge condition. |
|---|
| Keywords: | bridge health monitoring, bridge WIM, structural dynamics, damage detection, vehicle-bridge interaction |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Publication date: | 17.01.2020 |
|---|
| Publisher: | MDPI |
|---|
| Year of publishing: | 2020 |
|---|
| Number of pages: | str. 1-20 |
|---|
| Numbering: | Vol. 10, iss. 2 |
|---|
| PID: | 20.500.12556/DiRROS-16940  |
|---|
| UDC: | 624 |
|---|
| ISSN on article: | 2076-3417 |
|---|
| DOI: | 10.3390/app10020663 |
|---|
| COBISS.SI-ID: | 2515047 |
|---|
| Copyright: |
first_page
settings
Order Article Reprints
Open AccessArticle
Using Statistical Analysis of an Acceleration-Based Bridge Weigh-In-Motion System for Damage Detection
by Eugene OBrien
1 [ORCID] , Muhammad Arslan Khan
1,* [ORCID] , Daniel Patrick McCrum
1 [ORCID] and Aleš Žnidarič
2
1
School of Civil Engineering, University College Dublin, D04 V1W8 Belfield, Ireland
2
Slovenian National Building and Civil Engineering Institute (ZAG), 1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(2), 663; https://doi.org/10.3390/app10020663
Received: 9 December 2019 / Revised: 13 January 2020 / Accepted: 14 January 2020 / Published: 17 January 2020
(This article belongs to the Section Civil Engineering)
Download Browse Figures
Versions Notes
Abstract
This paper develops a novel method of bridge damage detection using statistical analysis of data from an acceleration-based bridge weigh-in-motion (BWIM) system. Bridge dynamic analy |
|---|
| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 21. 1. 2020;
Art. 663;
|
|---|
| Publication date in DiRROS: | 12.09.2023 |
|---|
| Views: | 771 |
|---|
| Downloads: | 331 |
|---|
| Metadata: |    |
|---|
|
:
|
Copy citation |
|---|
| | | | Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
