Inspection and Rating of Miter Lock Gates

Greimann, Lowell; Stecker, James H.; Kao, A.; Rens, Kevin L.

doi:10.1061/(asce)0887-3828(1991)5:4(226)

Cited by 14 publications

(13 citation statements)

References 1 publication

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“…The primary reason for replacing steel with another material is simply due to the adverse effects of corrosion on a hydraulic steel structure and thus the high cost of maintaining the steel structure. The present miter gate inspection methodology is primarily based on visual observations and then choosing the most appropriate rating described in the standardized inspection guide Inspection and Rating of Miter Lock Gates (Greimann et al 1990). Using this inspection method, the miter gate is divided into three zones defined by the lower and upper pool elevations, namely (1) the atmospheric zone, (2) the splash zone, and (3) the submerged zone, as shown in Figure 4.…”

Section: Unit Conversion Factorsmentioning

confidence: 99%

Determining miter gate plate corrosion and thickness of anti-corrosion coatings; and development of a Mobile Sensor Inspection Platform

Evans¹,

Tallent²,

Brown³

et al. 2019

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Navigation structures such as miter gates and sluice gates are primarily made out of steel, which makes them highly susceptible to corrosion, pitting, and fatigue cracks after many years in service. To mitigate the corrosion issue, protective anti-corrosion epoxy coatings are applied to the steel surface before the structure goes into operation and following scheduled inspections if coating loss is detected. The inspection process is typically a costly and potentially dangerous endeavor due to the need to inspect submerged areas of the structure where structural and environmental conditions may be at their worst. Divers are often used when dewatering is too costly or not possible. This study was generated by the need to find a better solution to the navigational structure corrosion/coatings inspection process. Primary objectives of this endeavor are to improve inspection area coverage, reduce inspection subjectiveness, reduce time, reduce cost, and reduce risk to human life. To achieve these objectives, a sensor system was developed to collect corrosion data and anti-corrosion coating thickness data; the system was then integrated onto a semi-automated platform capable of traversing targeted inspection areas above and below the water surface. This platform is referred to as the Mobile Sensor Inspection Platform. DISCLAIMER: The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents.

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Section: Unit Conversion Factorsmentioning

confidence: 99%

Determining miter gate plate corrosion and thickness of anti-corrosion coatings; and development of a Mobile Sensor Inspection Platform

Evans¹,

Tallent²,

Brown³

et al. 2019

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“…The primary goal of REMR was to develop affordable and simple technology that would extend the service life of the aging USACE infrastructure. Technology developed under REMR focused on concrete and steel materials, along with geotechnical, hydraulic, electrical and mechanical, environmental, and coastal types of infrastructure; it also addressed the CIs developed under operations management (Rens 1989;Stecker 1990a, 1990b;Greimann et al , 1990bGreimann et al , 1991Greimann et al , 1993Greimann et al , 1994Greimann et al , 1996Greimann et al , 1997Stecker et al 1993Stecker et al , 1997Rens et al 1993Rens et al , 1994.…”

Section: Development Of the Condition Indexmentioning

confidence: 99%

Sustainable Approach for Optimal Steel Sheet Pile Structure Assessment, Maintenance, and Rehabilitation

Rens

Liu

Foltz

2013

J. Perform. Constr. Facil.

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The U.S. Army Corps of Engineers (USACE) has constructed a wide variety of civil works structures. Due to age and other factors, many of these structures have deteriorated to a point that they need varying levels of maintenance and repair (M&R). Steel sheet pile (SSP) structures are part of the USACE civilian projects such as lock and dam and other navigation facilities. Failure of a SSP wall or cell can significantly affect the operations of a lock and dam or general river navigation. An improved SSP inspection procedure is proposed, to couple previously developed field inspection condition index (CI) methodology with reliability assessments and to quantify the life-cycle costs and environmental impacts associated with various M&R scenarios. M&R strategies over the analysis period are determined through reliability assessment for structures with relatively low CI (structures in CI Zone 2 and Zone 3). The level of failure would then be determined by the life cycle cost analysis (LCCA) and environmental life cycle assessment (LCA) of M&R alternatives. Using these methodologies, specific USACE districts will gain improved capabilities to monitor the current conditions of SSP infrastructure and to identify the prioritized structures requiring sustainable M&R. DISCLAIMER: The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents.

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“…Initial endeavors toward a systematic inspection procedure for miter gates involved the creation of an inspection rating scheme as part of the Repair, Evaluation, Maintenance, and Rehabilitation (REMR) program started by the USACE. 8 The developed procedures revolved around expert opinion and manually recorded data from intermittent field inspections. Subsequently, data from manual inspections and other information such as initial flaw sizes were used as inputs for reliability-based assessment.…”

Section: Introductionmentioning

confidence: 99%

“…9 By additionally using reliability requirements drawn from overall risk management policies of the lock chamber facilities, the designed reliability models were able to provide information to set the optimal inspection frequency for the miter gates. Based on visual data obtained from the inspection rating scheme, 8 a Bayesian updating methodology was proposed to update the reliability of locks for continued operation. 10 An early effort utilizing strain data for the application of damage detection on lock gates involved manual inspection of strain data on a gauge-by-gauge basis.…”

Section: Introductionmentioning

confidence: 99%

Deep Bayesian neural networks for damage quantification in miter gates of navigation locks

Hoskere

Eick

Spencer

et al. 2019

Structural Health Monitoring

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Inland navigation infrastructure like locks and dams form a vital part of the global economy. Locks facilitate the transport of hundreds of millions of dollars’ worth of goods on a daily basis. A primary cause for downtime of locks in the United States is damage to lock gates. Current inspection methods involve the complete closure of locks to visually inspect for damage. A common target of such inspections is the identification of “gaps” that form along the bearing surface boundary of miter gates. These gaps accelerate the fatigue failure of the gate by disrupting the designed load distribution mechanism. This article presents a novel engineering application of structural health monitoring for full-scale civil infrastructure with a method to automatically quantify the damage quantity of interest, that is, the gaps using measured strain data. We propose a framework for damage estimation of full-scale civil infrastructure in general and miter gates in particular, leveraging recent advances in deep Bayesian learning. A new two-term loss function is produced to increase the accuracy of the trained networks and the model uncertainties are conveyed using Monte Carlo dropout. In addition, we propose a strategy to model bearing surface gaps using non-linear contact analyses and use the proposed model to determine the sensitivity of measured strains to damage. The proposed framework is implemented for the miter gates at the Greenup locks and dam. Finally, the proposed methodology is validated using measured data. Slopes measured from the lock gate are used as the input to the trained networks to estimate the gap depths. The finite element model is updated using the estimated gap depths. The predicted slopes and strains from the updated model are shown to match the measured strains and slopes well. The results demonstrate the efficacy of the approach for damage detection in full-scale civil infrastructure.

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Inspection and Rating of Miter Lock Gates

Cited by 14 publications

References 1 publication

Determining miter gate plate corrosion and thickness of anti-corrosion coatings; and development of a Mobile Sensor Inspection Platform

Determining miter gate plate corrosion and thickness of anti-corrosion coatings; and development of a Mobile Sensor Inspection Platform

Sustainable Approach for Optimal Steel Sheet Pile Structure Assessment, Maintenance, and Rehabilitation

Deep Bayesian neural networks for damage quantification in miter gates of navigation locks

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