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. Integrated Remote Sensing and Visualization (IRSV) System for Transportation Infrastructure Operations and Management: Phase One, Volume 7, LiDAR Scan for New Bridge Construction and Bridge Model Validation

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2009

Integrated Remote Sensing and Visualization (IRSV) System for Transportation Infrastructure Operations and Management: Phase One, Volume 7, LiDAR Scan for New Bridge Construction and Bridge Model Validation

0 Datasets

0 Files

English
2009

Get instant academic access to this publication’s datasets.

Create free accountHow it works
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.

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
Shenen Chen
Shenen Chen

Institution not specified

Verified
Shenen Chen
Kaoshan Dai
Wanqiu Liu
+1 more

Abstract

Field load tests of a newly constructed bridge across interstate highway I-77 in Iredell County, NC, is performed as a demonstration study of the application of remote sensing for construction delivery validation tool. The SR1102 bridge is a hybrid steel girder bridge using both High Performance Steel (HPS) 70W and HPS 100W steel. The negative moment sections of the girders have HPS 100W flanges, whereas other parts of the girder are composed of HPS 70W steel. In order to ensure construction quality, a baseline Finite Element (FE) model was established. This model will be used as future reference for long-term structural performance monitoring. To validate the model, both static and dynamic tests were conducted on the bridge prior to its opening to traffic. Static load test is conducted using standard truck loading. LiDAR scans of the bridge during actual static load have confirmed the displacement estimate using the FE model. The baseline FE model generated was further updated based on the LiDAR scan results. High resolution, ortho and non-ortho flyover aerial photographs have also been collected as a post-construction documentation. The value of using commercial remote sensing for construction delivery validation is discussed in the final summary.

How to cite this publication

Shenen Chen, Kaoshan Dai, Wanqiu Liu, E W Hauser (2009). Integrated Remote Sensing and Visualization (IRSV) System for Transportation Infrastructure Operations and Management: Phase One, Volume 7, LiDAR Scan for New Bridge Construction and Bridge Model Validation.

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

2009

Authors

4

Datasets

0

Total Files

0

Language

English

Join Research Community

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

Get Free Access