Concrete growth and fatigue analysis of Chickamauga Lock miter gate anchorages

Smith, Matthew D.; Hammack, E. Allen.; Moser, Robert D.; Alexander, Quincy G.; Burnham, Benjamin C.; Williams, S.

doi:10.21079/11681/23660

Cited by 3 publications

(5 citation statements)

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“…The inspection crew carried out a structural analysis to determine the remaining service life of the miter gate anchorages. 66 They installed growth meters and extensometers, and observed a linear growth in strains at the location of installation on the anchors. The data also confirmed the previous survey measurements and predicted the expansion of concrete.…”

Section: Lock Gatesmentioning

confidence: 99%

“…MPBXs are also applicable for monitoring creep/expansion of aging concrete. 66 Eddy current sensors use the principle of EM induction. They can be utilized to perform high precision measurements in harsh industrial environments.…”

Section: Contact Sensorsmentioning

confidence: 99%

“…278 Vega et al 279 proposed a general framework to integrate abstract data from visual inspections and strain data to study advancements in the gaps of quoin blocks. Smith et al 66 placed 30 ESG on anchorage channels to find the axial force and bending moment in the linkage while operating the gates. These characteristics were helpful to validate a FE model built for studying effects of crack repairs by adding reinforcement plates.…”

Section: Lock Gatesmentioning

confidence: 99%

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Structural health monitoring of inland navigation structures and ports: a review on developments and challenges

Negi

Kromanis

Dorée

et al. 2023

Structural Health Monitoring

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Inland navigation structures (INS) facilitate transportation of goods in rivers and canals. Transportation of goods over waterways is more energy efficient than on roads and railways. INS, similar to other civil structures, are aging and require frequent condition assessment and maintenance. Countries, in which INS are important to their economies, such as the Netherlands and the United States, allocate significant budgets for maintenance and renovation of exiting INS, as well as for building new structures. Timely maintenance and early detection of a change to material or geometric properties (i.e., damage) can be supported with the structural health monitoring (SHM), in which monitored data, such as load, structural response, environmental actions, are analyzed. Huge scientific efforts are realized in bridge SHM, but when it comes to SHM of INS, the efforts are significantly lower. Therefore, the SHM community has opportunities to develop new solutions for SHM of INS and convince asset owners of their benefits. This review article, first, articulates the need to keep INS safe to use and fit for purpose, and the challenges associated with it. Second, it defines and reviews sensors, sensing technologies, and approaches for SHM of INS. Then, INS and their components, including structures in ports, are identified, described, and illustrated, and their monitoring efforts are reviewed. Finally, the review article emphasizes the added value of SHM systems for INS, concludes on the current achievements, and proposes future trajectories for SHM of INS and ports.

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Section: Lock Gatesmentioning

confidence: 99%

Section: Contact Sensorsmentioning

confidence: 99%

Section: Lock Gatesmentioning

confidence: 99%

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Structural health monitoring of inland navigation structures and ports: a review on developments and challenges

Negi

Kromanis

Dorée

et al. 2023

Structural Health Monitoring

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“…(B. 25) We can also exploit the Gaussianity of v(t i , ω) to analytically derive the form of the analyzed mean µ a (t i ) and covariance Σ(t i ).…”

Section: Gage Girder Locationmentioning

confidence: 99%

“…Miter lock gates, illustrated in Figure 1.1, are the most common type of lock gate in the USACE portfolio and require expensive maintenance to avoid failures like those at the Markland Lock and Dam [9] and the Chickamauga Lock and Dam [25]. Previous efforts for monitoring these gates, namely [12], have focused on damage detection and cannot identify the location or cause of the damage.…”

mentioning

confidence: 99%

High dimensional inference for the structural health monitoring of lock gates

Parno¹,

O’Connor²,

Smith³

2018

Preprint

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Locks and dams are critical pieces of inland waterways. However, many components of existing locks have been in operation past their designed lifetime. To ensure safe and cost effective operations, it is therefore important to monitor the structural health of locks. To support lock gate monitoring, this work considers a high dimensional Bayesian inference problem that combines noisy real time strain observations with a detailed finite element model. To solve this problem, we develop a new technique that combines Karhunen-Loève decompositions, stochastic differential equation representations of Gaussian processes, and Kalman smoothing that scales linearly with the number of observations and could be used for near real-time monitoring. We use quasi-periodic Gaussian processes to model thermal influences on the strain and infer spatially distributed boundary conditions in the model, which are also characterized with Gaussian process prior distributions. The power of this approach is demonstrated on a small synthetic example and then with real observations of Mississippi River Lock 27, which is located near St. Louis, MO USA. The results show that our approach is able to probabilistically characterize the posterior distribution over nearly 1.4 million parameters in under an hour on a standard desktop computer.

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