Objective Load Rating of a Steel-Girder Bridge Using Structural Modeling and Health Monitoring

Bell, Erin Santini; Lefebvre, P. J.; Sanayei, Masoud; Brenner, Brian; Sipple, Jesse D.; Peddle, Jason

doi:10.1061/(asce)st.1943-541x.0000599

Cited by 34 publications

(19 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Since the structural performance and load carrying capacity of bridges would be altered due to likely damage scenarios imposed on critical components, the ability to confidently predict the remaining service life and load rating reduction is one of the major concerns for bridge engineers. Structural model calibration is a well-documented tool that can be used for structural condition assessment and performance prediction (Cardini and DeWolfe, 2009;Santini-Bell et al, 2013). A global structural model of the bridge system will aid in both the design of the instrumentation plan, as well as serve as a tool for performance assessment, and prediction of the structural behavior once the model is calibrated using the collected structural response data.…”

Section: Literature Surveymentioning

confidence: 99%

“…Long term SHM data can be integrated into a bridge management protocol to better assess the actual condition of the bridge and improve the level of service that bridge owners can provide to the traveling public. In recent years, considerable efforts have been made to explore the features that represent the highest sensitivity to structural deficiency in bridges and that can be used as a prime candidate for real-time assessment of the system response (Santini-Bell et al, 2013). The implementation of an effective pattern recognition algorithm such as the X-bar control chart analysis into the wavelet packets extracted from post-processing of the SHM data has been found promising to reliably distinguish between two different states (damaged, undamaged) of the structure.…”

Section: Literature Surveymentioning

confidence: 99%

See 1 more Smart Citation

Diagnostic Testing of a Vertical Lift Truss Bridge for Model Verification and Decision-Making Support

Shahsavari

Mashayekhi

Mehrkash

et al. 2019

Front. Built Environ.

View full text Add to dashboard Cite

A practical long term structural health monitoring program must be based on reasonable field capabilities, the needs of the bridge owner, and the anticipated structural behavior unique to the structure. Each sensor installed as part of the monitoring program should provide information directly in response to operational needs related to the structure's short term and long term performance. A thoughtfully considered instrumentation plan developed in cooperation with the bridge designer, bridge manager, bridge maintenance operator and academic researchers will provide data to enhance both the state of the practice and state of the art for the bridge structural design, management and maintenance. Monitoring a bridge's structural response has the potential to (a) detect the presence of structural changes for condition assessment, (b) inform the bridge manger to assist in daily operational decision-making and (c) validate the structural design assumptions and (d) refine a structural model of the bridge to be used for performance prediction. The excitation for these responses typically comes from traffic or environmental demands. Vertical lift bridges provide a unique opportunity for structural health monitoring based on the dynamic response due to the frequent and repeated impact imparted on the structure each time the lift span opens and closes. In this paper, a structural health monitoring system designed to provide valuable information for design verification, structural model calibration, fatigue monitoring, and operational decision-making support for the reconstructed Memorial Bridge carrying US Route 1 between Portsmouth, New Hampshire and Kittery, Maine. This paper will detail the development of the sensor layout including input from stakeholders, accessibility issues and complementary and contradicting objectives. A set of structural models with varying degrees on complexity were created based on the structural performance objectives. The data collected during a pseudo-static truck load test was used to calibrate the structural models of the bridge and to select the appropriate model for each post-processing and decision-making tools related to structural performance.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Diagnostic Testing of a Vertical Lift Truss Bridge for Model Verification and Decision-Making Support

Shahsavari

Mashayekhi

Mehrkash

et al. 2019

Front. Built Environ.

View full text Add to dashboard Cite

show abstract

“…This is to say, when the load is positioned at different locations, the placement of one sensor is the same as adding one load case. This can be achieved by positioning a truck with calibrated weight at various locations along the bridges . Hence, in order to get accurate and robust estimations of EI 1 –EI 8 , it is recommended to place sensors at Nodes 2, 5, 16, 17, 9, 10, 21, and 24 together with a load positioned at various locations on the structure.…”

Section: Application Of the Compatibility Conditionsmentioning

confidence: 99%

Static structural system identification for beam-like structures using compatibility conditions

Lei

Coderque

2017

Struct Control Health Monit

View full text Add to dashboard Cite

SummaryDue to the inevitable noise existing in the measured responses, structural system identification is often a challenging task in terms of the accuracy of the estimations. Structural system identification by the observability method, which is characterized by the analysis of null spaces, is a powerful tool to determine the observability of structural parameters. However, it did not cope well with measurement errors so far. In this paper, for the first time, functional relations among displacements, denoted by the term compatibility conditions, in beam-like structures are derived by the observability method. Then, compatibility conditions are imposed in an optimization procedure to minimize the discrepancy between the measured response and the compatible one. The compatible response obtained by the optimization is used to obtain the final estimations of the parameters. In a simply supported bridge example, the proposed method is thoroughly evaluated regarding the number of measurements, error levels, and load cases. In an example of a continuous bridge, different load cases are used to estimate the bending stiffnesses of different zones. The accuracy and the efficacy of the proposed method are verified by the numerical results.

show abstract

“…Finite Element models have been created, refined and calibrated to match the dynamic responses observed during testing (Sanayei, 2012), (Bell, 2013), (Sipple, 2014). These models served as the basis of the numerical simulations for predictions of response to vehicular loading on the bridge.…”

Section: Powder Mill Bridgementioning

confidence: 99%

Bridge Foundation Stiffness Identification

Sanayei¹,

Davis²

2016

Geotechnical and Structural Engineering Congress 2016

Self Cite

View full text Add to dashboard Cite

There are great economic incentives motivating the reuse of existing foundations when deteriorated and damaged superstructures are replaced. The increasing reuse of existing bridge foundations warrants investigation into verifying foundation performance and condition of in service bridge foundations. A method is proposed which characterizes the load-response behavior of existing bridge foundations during daily vehicular loading without impeding traffic. It uses a limited number of substructure response measurements from an in service bridge taken during daily traffic heavy truck loadings. The results from this method can be used to verify the vertical, horizontal and rotational load-deformation behavior during daily loadings. Potential applications for the results obtained through this approach are: the detection of structural damage, identification of scour, identification of unknown foundations, and validation the load-deformation behavior predicted by finite element analysis. While loading during the tests would be limited to the magnitude which is caused by daily truck passage, the behavior observed from this loading can be used to update the parameters governing soil behavior which will lead to an improved assessment of the foundation behavior during failure loading or extreme events. A preliminary study is presented as a feasibly study for future use of the proposed method for bridge foundation stiffness identification using substructure measurements.

show abstract

Objective Load Rating of a Steel-Girder Bridge Using Structural Modeling and Health Monitoring

Cited by 34 publications

References 6 publications

Diagnostic Testing of a Vertical Lift Truss Bridge for Model Verification and Decision-Making Support

Diagnostic Testing of a Vertical Lift Truss Bridge for Model Verification and Decision-Making Support

Static structural system identification for beam-like structures using compatibility conditions

Bridge Foundation Stiffness Identification

Contact Info

Product

Resources

About