Utilizing Kriging Metamodeling to Provide Practical and Effective Bridge Weigh-in-Motion

Agüero-Barrantes, Pablo; Christenson, Richard; Lobo-Aguilar, Sergio

doi:10.1061/jbenf2.beeng-5760

Cited by 2 publications

(2 citation statements)

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“…As a result, if health monitoring is performed as a by-product of the B-WIM system or vice versa, it will cost a fraction of the value of an independent BHM system. 54–57…”

Section: Introductionmentioning

confidence: 99%

“…As a result, if health monitoring is performed as a by-product of the B-WIM system or vice versa, it will cost a fraction of the value of an independent BHM system. [54][55][56][57] In the late 1990s, Lai 58 suggested that response captured by a B-WIM system can also be utilized to monitor the state of a bridge and detection of damage. From literature, it is seen that, the application of B-WIM for BHM has seldom been studied until the studies such as fatigue damage analysis by Wang et al 59 in the mid-2000s and bridge assessment study by Z ˇnidaricǎ nd Lavricˇ6 0 in the early 2010s.…”

Section: Introductionmentioning

confidence: 99%

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Application of bridge weigh-in-motion system in bridge health monitoring: a state-of-the-art review

Paul

Roy

2023

Structural Health Monitoring

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Bridge health monitoring (BHM) has grown as an essential component of the maintenance paradigm in any transportation network around the world. The mostly used visual inspection method has limitations such as inspector bias, inaccessibility in remote areas, need for human physical presence at the bridge location, etc. On the other hand, vibration-based BHM methods require artificial excitation to the bridge. This motivates researchers to explore potential alternatives for BHM. The bridge weigh-in-motion (B-WIM) system has emerged as a promising alternative with the potential to augment traditional BHM techniques. The advantages of B-WIM systems are durability, portability, easy installation, etc. In addition to weight estimation of passing vehicles, it provides other structural informations that are helpful for bridge assessment. It also overcomes the limitations of pavement-based WIM systems. Most importantly, a B-WIM system uses the same components as a standard BHM system, making BHM a by-product and economical compared to a standalone BHM system. With the development of B-WIM theory, recent researches have revealed the feasibility of B-WIM system for BHM. However, the applicability of the B-WIM system for BHM in any type of bridge and condition is limited. Through the fundamentals of B-WIM theory, this paper reviews the existing bridge response-based BHM methods that involved B-WIM algorithm. The findings are discussed in order to identify the remaining challenges and provide insight to the future aspects.

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“…As a result, if health monitoring is performed as a by-product of the B-WIM system or vice versa, it will cost a fraction of the value of an independent BHM system. 54–57…”

Section: Introductionmentioning

confidence: 99%