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PRESENTED TO THE

Commercial Remote Sensing - Applications for Bridge Management and Preservation

WESTERN BRIDGE PRESERVATION PARTNERSHIP MEETING

SACRAMENTO, CA

DECEMBER 1, 2010

EDD HAUSER, DIRECTOR

CENTER FOR TRANSPORTATION POLICY STUDIES

Commercial Remote Sensing - Applications for Bridge Management and Preservation

CENTER FOR TRANSPORTATION POLICY STUDIES

UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE

KELLEY REHM, AASHTO LIAISON

SHEN-EN CHEN, DEPT. OF CIVIL AND ENVIRONMENTAL ENGINEERING, UNC CHARLOTTE

Presentation Outline

� Commercial Remote Sensing (CRS) Overview

� RITA/ UNC Charlotte IRSV Project Overview

� 3D Terrestrial LiDAR Applications� 3D Terrestrial LiDAR Applications

� Small Format Aerial Photography Applications

� Impact on Bridge Preservation Activities

Commercial Remote Sensing (CRS)

� CRS refers to making and preserving images of infrastructure and

natural features from a distance using nonintrusive sensors; aerial

or terrestrial photography, LiDAR, RADAR and passive infrared, are

examples.

� For bridge health monitoring, CRS includes technologies as

inspection tools that are rapid, relatively safe, and cost-effective.

� Commercial satellites, airborne large format and medium format

optical photos do not have the resolution

(< 6 inch ), speed, nor cost-effectiveness for bridge SHM.

UNC Charlotte IRSV Project Objectives

� Research objective: develop an INTEGRATED REMOTE SENSING AND VISUALIZATION (IRSV) SYSTEM

PROTOTYPE - integrating CRS for bridge monitoring, management,

maintenance, & preservation.

� Outreach objectives: � Outreach objectives:

� 1) encourage high-level Commercial Remote Sensing (CRS)

technology applications for bridge management & preservation;

� 2) demonstrate such applications to industry-wide audience.

� Case Study Targets: Multi-span steel girder /concrete deck bridges

and all-concrete bridges over roadways, water, etc.

IRSV - Data Integration via Visualization

IRSV v. 1.0 (Interactive Large Screen Visual Analytics)

MULTI-COORDINATE VIEW GEO-SPATIAL VIEW

DOT TREND VIEW

DISPLAY CRITERIA SELECTION

DOT TREND VIEW

SINGLE BRIDGE TREND VIEW

IRSV v. 2.0 (Distributed Web-Based Apps.)

Geospatial View

Scatter Plot

Parallel Coordinates

Hierarchy of Variables

Data Collection and Analysis –

3D Terrestrial LiDAR

� Light Detection and Ranging System.

� Laser scanned images provide temporal database.

Terrestrial, Mobile, and Aerial LiDAR

LiDAR Scans -

Harnessing the power of CLOUD Harnessing the power of CLOUD

COMPUTING

What is Cloud Computing ?

Cloud computing is Internet - based computing,

using shared resources, software, and

information to link computers and other devices

on demand, like the electricity grid. on demand, like the electricity grid.

Cloud computing is a natural evolution of the

widespread adoption of 3-dimentional

virtualization, service - oriented architecture, and

utility computing

LiDAR-Based Bridge Evaluation Applications

� Image documentation

� Geometric changes

� Bridge clearance measurement

� Structural surface damage� Structural surface damage

� Bridge displacement measurement

� Blast impact monitoring

� Heavy truck impacts / Static load tests

� Traffic monitoring

Static Bridge Load Tests

Bridge Dead Weight Deflection

Girder 8 relative elevation curve comparison

LiDAR Scan Results

LiDAR Deflection = 0.663 in

FE Deflection = 0.605 in

Traffic Monitoring(Relative to bridge displacements)

Two Spans - Bridge

under Operational

Loading : Periodic

LiDAR Scan

Case 1 (at 8:42 am)

263 Cars, 9 trucks263 Cars, 9 trucks

Case10 (at 1:03 pm)

190 Cars, 0 trucks

Tie Traffic Operations to Bridge Performance

Spatially Integrated - Small Format Aerial Photography

SI – SFAP

� Cessna C210L plane

� Cannon 5D DSLR camera

� Approx. 1000ft altitude� Approx. 1000ft altitude

� Orthogonal rectification not needed

Large FormatLarge Format SI-SFAPSI-SFAP

Large Format vs. Spatially Integrated - Small Format Apps.

SI-SFAP Bridge Evaluation Applications

� Construction monitoring

� Disaster response and clean-up monitoring

� Image documentation

� Geometric changes over time� Geometric changes over time

� Bridge deck cracks, expansion joints, spalling

� Environment studies in area around bridge

� Site Planning

� Blast Impact Monitoring

� Truck / Traffic Monitoring

Project Construction Monitoring

Deck Crack Monitoring

Joint Movement and Deterioration

Benefits of CRS to Bridge Preservation

Bridge Preservation: TSP-2 Objectives

� Support and expand AASHTO and TRB activities

� Engage broad support – practitioners, industry,

academic and other research institutions

� Develop a specialized Technology Transfer Clearinghouse for

bridge management and preservation

� Enhance coordination for these objectives, and

� Support the Regional Partnerships

FHWA Objectives for Bridge Preservation

� Provide technical support as part of a systematic process

� Better define how needs are identified, prioritized, and

programmed

� Identify resources needed to reach the Goals

� Quantify the cost-effectiveness of preservation activities

� Track, evaluate, and report on progress toward the Goals

Definition of Bridge Preservation - BPETG

� Preventive or condition-driven actions or strategies that prevent,

delay, or reduce deterioration

� Restore the function of existing bridges

� Keep bridges in good condition

� Extend useful bridge service life

� Source: Bridge Preservation Expert

Task Group, 10/15/2010

Finally!

� Through our research at UNC Charlotte in developing the IRSV

Prototype, and in our initial efforts to extend our outreach as a

partner in the process we’ve been discussing, we can suggest that

these two Commercial Remote Sensing technologies - LiDAR these two Commercial Remote Sensing technologies - LiDAR

and SI-SFAP - appear to have the potential for becoming cost-

effective solutions to help bridge engineers do their work.

ACKNOWLEDGEMENTS

� USDOT / RITA grant DTOS59-07-H-0005 (Mr. Caesar Singh)

� NC advisors: Moy Biswas, NCDOT; Garland Haywood Division 10 NCDOT; Jimmy Rhyne, City of Charlotte DOT

� National advisory committee: Phillip Yen (FHWA), Sreenivas Alampalli (NYSDOT), Dan Turner (U.Alabama), Ahmad Abu-Hawash (IowaDOT), (NYSDOT), Dan Turner (U.Alabama), Ahmad Abu-Hawash (IowaDOT), Rudy Rivera (Los Angeles Co. DPW)

� Research Team: Edd Hauser, Shen-en Chen, Xiaoyu Wang, Rashna Vatcha, Chris Watson, (UNC Charlotte); Ron Eguchi and Z. Hu (ImageCat Inc.); Howard Chung (Acellent Technologies); Charles Boyle, Boyle Consulting, Inc.; C. Michael Walton, & Kelley Rehm

� The views, opinions, findings and conclusions reflected in this presentation are the responsibility of the authors only and do not represent the official policy or position of the USDOT, RITA, or any State or other entity.

Questions

Thank you!

Questions? Questions?

Edd Hauser - ehauser@uncc.edu

University of North Carolina at Charlotte

www.transpol.uncc.edu