Software development to implement the TxDOT culvert rating guide.

Lawson, William D.; Wood, Timothy A.; Morse, Stephen M.; Jayawickrama, Priyantha W.; Newhouse, Charles D.; Texas Tech University. Center for Multidisciplinary Research in Transportation

Back to Previous Page

- Add this to...
- Twitter
- Facebook
- Google Bookmarks
- LinkedIn

Software development to implement the TxDOT culvert rating guide.

Published Date:

2013-05-01

Language:

English

[PDF-1.36 MB]

Details:

Creators:

Lawson, William D. ; Wood, Timothy A. ; Morse, Stephen M. ; Jayawickrama, Priyantha W. ; Newhouse, Charles D. ;

Corporate Creators:

Texas Tech University. Center for Multidisciplinary Research in Transportation

Corporate Contributors:

United States. Federal Highway Administration

Subject/TRT Terms:

[+]

Publication/ Report Number:

FHWA/TX-13-5-5849-01-1

Resource Type:

Tech Report

Geographical Coverage:

Texas

Corporate Publisher:

Texas. Dept. of Transportation. Research and Technology Implementation Office

NTL Classification:

NTL-PLANNING AND POLICY-PLANNING AND POLICY ; NTL-HIGHWAY/ROAD TRANSPORTATION-Bridges and Structures ;

Abstract:

This implementation project created CULVLR: Culvert Load Rating, Version 1.0.0, a Windows®-based desktop application software package that automates the process by which Texas Department of Transportation (TxDOT) engineers and their consultants perform load rating calculations for reinforced concrete box culverts. Based on TxDOT’s Culvert Rating Guide, the tasks associated with this project included programming the culvert rating process, software testing, creation of Help files, creation of the Install program, and beta testing. CULVLR is structured to accept reinforced box culvert input parameters in a manner typical of TxDOT design standards. The program uses these inputs to generate capacities for each critical section of the culvert structure. The load rater can select either Level 1 (CULV5) or Level 3 (RISA-3D) structural analysis software to generate demand loads, and CULVLR calculates load rating factors based on the calculated capacities and demands. Reporting functions allow the load rater to print summary, standard, or comprehensive reports.

Format:

PDF

Funding:

5-5849-01

Collection(s):

US Transportation Collection

Main Document Checksum:

[+]

Supporting Files:

No Additional Files

No Related Documents.

You May Also Like:

Update to Special Reports on Traffic Safety During the COVID-19 Public Health Emergency: Third Quarter Data: Third Quarter Data [Traffic Safety Facts]

Published Date:

2021-01-08

Abstract:

This is an update to NHTSA's recent Special Reports examining traffic safety trends during the COVID public health emergency.

File Type:

[PDF - 474.16 KB]
Volpe Center Annual Accomplishments – January 2021

Published Date:

2021-01-01

Abstract:

The Volpe Center’s Annual Accomplishments highlights our best work of 2020 and illustrates the sustained impact of the Volpe Center in supporting the U.S. DOT’s top priorities and strategic goals: safety, infrastructure, innovation, and accountab...

File Type:

[PDF - 3.43 MB]
Education on Proper Use of Seat Belts on School Buses

Published Date:

01/01/2021

Abstract:

NHTSA sponsored this project to understand how school districts that purchase large school buses with seat belts can maximize their effectiveness and benefit by improving proper usage. The project obtained observational data on the impact of seat bel...

File Type:

[PDF - 856.71 KB]
Driver Expectations for System Control Errors, Driver Engagement, and Crash Avoidance in Level 2 Driving Automation Systems

Published Date:

2021-01-01

Abstract:

This project investigated how driver expectations about Level 2 ADAS systems affect driver engagement and performance. Many vehicles available to consumers offer some level of automated driving functionality, but the capabilities of these vehicles va...

File Type:

[PDF - 2.65 MB]
Distracted Driving Enforcement Demonstrations: Lessons Learned

Published Date:

2020-12-01

Abstract:

At any given daylight moment in America in 2017, some 481,000 drivers were using cell phones while driving. In that year 3,166 people died in crashes involving distracted drivers. In 2015 there were 391,000 people injured in distraction-affected cras...

File Type:

[PDF - 1.94 MB]