Risk-Based Proof-Load Requirements for Bridge Evaluation

Fu, Gongkang; Tang, Jianguo

doi:10.1061/(asce)0733-9445(1995)121:3(542)

Cited by 28 publications

(10 citation statements)

References 8 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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“…As such, the determination of the target proof load, which needs to reflect the prescribed factored live loads, is of the utmost importance. In the past, the most common load combination for determination of the target proof load was [43]:…”

Section: Determination Of the Target Proof Loadmentioning

confidence: 99%

State-of-the-art on load testing of concrete bridges

Lantsoght

Veen

Boer

et al. 2017

Engineering Structures

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Load testing of bridges is a practice that is as old as their construction. In the past, load testing gave the traveling public a feeling that a newly opened bridge is safe. Nowadays, the bridge stock in many countries is aging, and load testing is used for the assessment of existing bridges. This paper aims at giving an overview of the current state-of-the-art with regard to load testing of concrete bridges. The work is based on an extensive literature review, dealing with diagnostic and proof load testing, and looking at the current areas of research. Additional available information about load testing of steel, timber, and masonry bridges, buildings, and collapse testing is briefly cited. For the implementation of load testing to the aging bridge stock on a large scale, efficiency in procedures is required. The areas requiring future research are identified, based on the available body of knowledge.

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“…The result of a proof load test is a better understanding of the behavior of the bridge, which can be used as input for a probabilistic analysis (Lin and Nowak, 1984, Fu and Tang, 1995, Nowak and Tharmabala, 1988, Hall and Tsai, 1989, Rackwitz and Schrupp, 1985. The change in the probability density function of the capacity side of the equation, R d , is then as given in Figure 1.…”

Section: Literature On Proof Loadingmentioning

confidence: 99%