Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. A baseline-free damage detection method using VBI incomplete measurement data

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2021

A baseline-free damage detection method using VBI incomplete measurement data

0 Datasets

0 Files

English
2021
Measurement
Vol 174
DOI: 10.1016/j.measurement.2020.108957

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Amir Gandomi
Amir Gandomi

University of Techology Sdyney

Verified
Mohsen Mousavi
Damien Holloway
J.C. Olivier
+1 more

Abstract

A novel baseline-free method for damage detection of vehicle-bridge interaction (VBI) systems is proposed. The proposed method is physics-based, in contrast to many prevailing approaches, which are purely data-based techniques. It uses incomplete measurement data by incorporating the static condensation transformation matrix into the equations to obtain the final formulas. However, the static condensation of the damaged beam is not known a priori. Therefore, it is shown analytically that the static condensation transformation matrix of the undamaged beam can be used instead of the one corresponding to the damaged beam. This has been confirmed through numerical simulations for different boundary conditions of the beam. Various factors are studied numerically in order to demonstrate the robustness of the proposed method, including road roughness, boundary conditions, variable moving mass velocity and measurement noise. The results demonstrate the capability of the proposed method in damage detection of beam-type structures subjected to a moving mass in the presence of 5% noise. It has also been shown that averaging the results obtained from noisy data collected through several repetitions of the experiment can improve the final prediction of the location and severity of damage.

How to cite this publication

Mohsen Mousavi, Damien Holloway, J.C. Olivier, Amir Gandomi (2021). A baseline-free damage detection method using VBI incomplete measurement data. Measurement, 174, pp. 108957-108957, DOI: 10.1016/j.measurement.2020.108957.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2021

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

Measurement

DOI

10.1016/j.measurement.2020.108957

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access