Proof Load Testing of Deteriorated Steel Girder Bridges

Saraf, Vijay; Nowak, Andrzej S.

doi:10.1061/(asce)1084-0702(1998)3:2(82)

Cited by 25 publications

(9 citation statements)

References 3 publications

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“…The framework encompasses (1) proof loading information on component and system level, (2) outcomes of laboratory tests on component and subsystem level, (3) modeling and simulation information with various refinement levels and (4) a combination of these strategies. In the scientific literature, the stated elements of the framework have been analyzed separately and not integrally [see e.g., Yang (1976), Lin and Nowak (1984), Rackwitz and Schrupp (1985), Diamantidis (1987), Fu and Tang (1995), Saraf andNowak (1998), Faber et al (2000), Ersdal et al (2003), Nishijima and Faber (2007), Sørensen and Toft (2010), Thöns et al (2011), Casas andGómez (2013), Gutermann and Schröder (2015), Brüske and Thöns (2016), Lantsoght et al (2016Lantsoght et al ( , 2017].…”

Section: Probabilistic and Decision Analysis Approachmentioning

confidence: 99%

Challenges Related to Probabilistic Decision Analysis for Bridge Testing and Reclassification

Schmidt

Thöns

Kapoor

et al. 2020

Front. Built Environ.

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This paper reviews historical developments and recent challenges in full scale bridge testing and introduces results-and hypotheses related to an ongoing bridge testing research project. This research project encompasses full scale bridge testing in conjunction with bearing capacity analysis as well as related contact-and non-contact monitoring procedures combined with a decision analytical approach. Results from the first steps of the project, focusing on full scale load testing of bridges, are presented. The next part approaches the interfaces between three project areas namely the bearing capacity analysis, the utilization of monitoring procedures and a decision analytical approach. The proposed probabilistic decision analysis approach is described for two scenarios: (1) The decision support for the actual proof load test providing decision rules for a safe and efficient in-situ test and (2) for the identification of efficient strategies for the bridge reclassification accounting for modeling, simulation, and monitoring information. The paper concludes with a summary highlighting deemed challenges in the used approaches.

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Section: Probabilistic and Decision Analysis Approachmentioning

confidence: 99%

Challenges Related to Probabilistic Decision Analysis for Bridge Testing and Reclassification

Schmidt

Thöns

Kapoor

et al. 2020

Front. Built Environ.

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show abstract

“…In a proof load test (Saraf and Nowak 1998, Faber et al 2000, Casas and Gómez 2013, Arangjelovski et al 2015, Lantsoght et al 2017a, Lantsoght et al 2017c), a load representing the factored load combination prescribed by the governing code is applied to the bridge. Since the load is applied during the test and all sensors are zeroed at the beginning of the test, a proof load test evaluates the net capacity of a bridge for carrying live load.…”

Section: Proof Load Testsmentioning

confidence: 99%

General Considerations

Lantsoght¹,

Schmidt²

2019

Load Testing of Bridges

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This chapter discusses aspects that should be considered prior to every load test. The first question that needs to be answered is: "Is this bridge suitable for load testing? If so, what are the goals of the load test?" To answer these questions, information must be gathered, and preliminary calculations should be carried out. In order to evaluate if a bridge is suitable for load testing, different types of testing are shown, the topic of when to load test a bridge is discussed, and structure type considerations are debated. Finally, some safety precautions that should be fulfilled during a load test are discussed.

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“…increases in truck traffic and legal loads) or decrease in nominal strength; when an inspection has revealed significant damages or other changes in the system that may not be captured by the analytical model; or to establish ''proof of capacity'' (Moses et al 1994. Fu and Tang 1995, Saraf and Nowak 1998. A load test also can confirm distribution of forces within the structure and validate assumptions made in a structural analysis (Ellingwood 1996).…”

Section: In-service Inspection and Maintenancementioning

confidence: 99%

Risk-informed condition assessment of civil infrastructure: state of practice and research issues

Ellingwood¹

2005

Structure and Infrastructure Engineering

241

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Civil infrastructure in the United States is at risk from aging, leading to structural deterioration of bridges, buildings, and other facilities from aggressive chemical attack, corrosion, and other physical mechanisms. Decisions regarding maintenance, rehabilitation and other requirements for continued utilization of a facility should be supported by quantitative evidence that aging has not caused structural strength or stiffness to deteriorate to the point where the capacity of the system to withstand or mitigate future extreme events is impaired. Current codes of practice provide little guidance for the proper evaluation of existing facilities for continued service, since their focus is on new construction. Rehabilitation investments should be aimed at maximizing the likelihood of successful future performance at minimum costs. Probabilistic risk analysis methods can provide quantitative tools for the management of uncertainty in condition assessment and are an essential ingredient of risk-informed management decisions. Such tools are data-intensive and require improved physical models of deterioration processes to realize their full potential in facility risk management.

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Proof Load Testing of Deteriorated Steel Girder Bridges

Cited by 25 publications

References 3 publications

Challenges Related to Probabilistic Decision Analysis for Bridge Testing and Reclassification

Challenges Related to Probabilistic Decision Analysis for Bridge Testing and Reclassification

General Considerations

Risk-informed condition assessment of civil infrastructure: state of practice and research issues

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