Digital Twins for Bridge Management through the Integrating of Computer Vision and Finite Element Models

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: 6913G618P800109
Agency Tracking Number: 180FH2007
Amount: $149,179.73
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 180FH2
Solicitation Number: 6913G618QSBIR1
Timeline
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-09-10
Award End Date (Contract End Date): 2019-03-09
Small Business Information
1261 Oakmead Pkwy, Sunnyvale, CA, 94085-4040
DUNS: 621683200
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Hamed Ebrahimian
 Senior Engineer
 (408) 616-2227
 hebrahim@scsolutions.com
Business Contact
 Greg Loy
Title: President
Phone: (408) 617-4550
Email: greg@scsolutions.com
Research Institution
N/A
Abstract
Digital Twins for Bridge Management through the Integrating of Computer Vision and Finite Element Models 3/19/2018 We propose the development of an innovative integrated solution for health monitoring of bridge structures using a non-contact image-based measurement methodology. High-resolution and regular camera systems will be used to capture the bridge movements and the traffic passing the bridge, respectively. Computer vision techniques will be used to extract the deflection time-histories of the bridge as well as the vehicle locations from the raw images. The information will be used for joint model and vehicular load identification using a Bayesian estimation technique. The updated model will be maintained as a “digital twin” of the infrastructure, which will be interrogated for health monitoring and damage diagnosis (e.g., stiffness deterioration, loss of prestress forces, etc.). The digital twin will be amenable beyond health monitoring, for global load rating, and rapid post-disaster assessment throughout the life-cycle of the bridge. Phase I of this proposal includes the preliminary implementation and verification of the computer-vision and Bayesian model updating techniques. Phase II will focus on the development of a working prototype and its validation in real-world settings. The envisioned product development stage after Phase II includes packaging the developed techniques into a practical product for near real-time monitoring and maintenance of bridges.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government