1 Instrumentation, Modeling and Monitoring of a Concrete Bridge from Construction through Service Erin Santini Bell, Ph. D., P. E. Assistant Professor, University of New Hampshire Jesse Sipple Doctoral Student, Tufts University Paul Lefebvre Masters Student, University of New Hampshire John Phelps Masters Student, Tufts University Brian Brenner, P.E. Vice President, Fay Spofford and Thorndike Professor of the Practice, Tufts University Masoud Sanayei, Ph. D. Professor, Tufts University Presentation to the Transportation Research Board Annual Meeting January 23, 2011
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Instrumentation, Modeling and Monitoring of a
Concrete Bridge from Construction through
Service
Erin Santini Bell, Ph. D., P. E. Assistant Professor, University of New Hampshire
Jesse Sipple Doctoral Student, Tufts University
Paul Lefebvre
Masters Student, University of New Hampshire
John Phelps Masters Student, Tufts University
Brian Brenner, P.E. Vice President, Fay Spofford and Thorndike
Professor of the Practice, Tufts University
Masoud Sanayei, Ph. D. Professor, Tufts University
Presentation to the Transportation Research Board Annual Meeting January 23, 2011
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Project Motivation
• Leverage current technologies
• Bridge design today is elemental
• Bridge design is complete on opening day
• “Design intelligence” is not readily available
during life of bridge
• Address long term behavior of bridges during
initial design
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Central Thesis
• How is long term design addressed in the
design process?
• Leverage advancing technology
(instrumentation, analysis, data management,
remote sensing) to improve the bridge design
process that currently focuses on opening day,
but not the 75 years that follow opening day
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Instrumentation
• Installed during the construction process
• Used to verify the design and modeling
assumptions
• Continuously used to monitor the health of the
bridge
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Structural Modeling
• Structural engineers use design programs to
aid in design process
• Designed based models with code
requirements arrive
• SAP2000®, RAM®, STADD®
– Bridge Information Modeler (BrIM™)
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Structural Baseline Modeling
Implementing a Baseline Model into the bridge design process will shift the paradigm to focus on long-term performance
Keep the Baseline Model simple for usability, while still capturing the desired level of response accuracy
The Baseline Model will be created with condition assessment in mind using input from the bridge management and design divisions
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Structural Baseline Modeling
• Takes design models a step further by
including specific elements into modeling
• Elements include
– Composite action
– Diaphragms
– Bridge rail
– Spring boundary conditions
• Goal: To make a usable model that accurately
captures bridge behavior
[Kp]
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Modeling Bearing Pads as Springs
• Stanton et al. (2004) provides
equations for axial and rotational
stiffness
• AASHTO provides equations for
elastic modulus of bearing pads
• NCHRP Report 596 –Rotation
Limits for Elastomeric Bearings
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Structural Health Monitoring
• The goal of SHM systems is to employ sensing
instruments to provide information pertaining
to the condition of the structure
• Recent advancements in technology have
made bridge structure instrumentation very
popular and relatively easy to implement
• This collected data must then be post-
processed to provide beneficial information for
bridge owners
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How do we get there?
• In current AASHTO design practices, bridges
are designed on an elemental basis
• AASHTO specifies that each structural
element is to be designed for the loads it will
experience during the life of the bridge
• Develop a “baseline” model and suggest
certain modifications to the traditional bridge
design process to take advantage of modern
computing capabilities to create a refined
baseline model
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Durham, NH
Barre,MA
Vernon Avenue over the Ware River
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Vernon Avenue Bridge
• Opened to traffic in September 2009
• Collaborative project with Fay, Spofford and Thorndike,
Inc.,Tufts University and Geocomp, INC. in cooperation with