Feasibility of retrofitting existing miter-type lock gates with discontinuous contact blocks

Eick, Brian A.; Smith, Matthew D.; Fillmore, Travis B.

doi:10.1080/24705314.2019.1657617

Cited by 6 publications

(5 citation statements)

References 6 publications

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“…Fig. 1 shows a lock and the miter gate system (image adapted from the USACE website and Eick et al [65]). Loss of contact between the vertical side of a gate and the supporting concrete wall (boundary-related damage) is the most commonly observed damage mechanism in such systems [3,63,62].…”

Section: Problem Descriptionmentioning

confidence: 99%

The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions

Chadha

Ramancha²,

Vega³

et al. 2023

Reliability Engineering & System Safety

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Section: Problem Descriptionmentioning

confidence: 99%

The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions

Chadha

Ramancha²,

Vega³

et al. 2023

Reliability Engineering & System Safety

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“…Fig. 1 shows the Greenup lock and the miter gate (image adapted from the USACE website and Eick et al [29]). Loss of contact in the quoin blocks (boundary related damage) is the most commonly observed damage mode in such systems [19,30,20].…”

Section: Demonstration Problem Description 41 Miter Gatementioning

confidence: 99%

“…To demonstrate the application of the concepts discussed so far, we consider an example problem of the Greenup miter gate maintained and managed by USACE located on the Ohio River, USA. Figure 1 shows the Greenup lock and the miter gate (image adapted from the USACE website and Eick et al 29 ). Loss of contact in the quoin blocks (boundary-related damage) is the most commonly observed damage mode in such systems.…”

Section: Demonstration Problem Descriptionmentioning

confidence: 99%

An alternative quantification of the value of information in structural health monitoring

Chadha

Todd

2021

Structural Health Monitoring

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Analogous to an experiment, a structural health monitoring (SHM) system may be thought of as an information-gathering mechanism. Gathering the information that is representative of the structural state and correctly inferring its meaning helps engineers (decision-makers) mitigate possible losses by taking appropriate actions (risk-informed decision-making). However, the design, research, development, installation, maintenance, and operation of an SHM system are an expensive endeavor. Therefore, the decision to invest in new information is rationally justified if the reduction in the expected losses by utilizing newly acquired information is more than the intrinsic cost of the information acquiring mechanism incurred over the lifespan of the structure. This article investigates the economic advantage of installing an SHM system for inference of the structural state, risk, and lifecycle management by using the value of information (VoI) analysis. Among many possible choices of SHM system designs (different information-gathering mechanisms), pre-posterior decision analysis can be used to select the most feasible design. Traditionally, the cost–benefit analysis of an SHM system is carried out through pre-posterior decision analysis that helps one evaluate the benefit of an experiment or an information-gathering mechanism using the expected value of information metric. This study proposes an alternate normalized metric that evaluates the expected reward ratio (benefit/gain of using an SHM system) relative to the investment risk (cost of SHM over the lifecycle). The analysis of evaluating the relative benefit of various SHM system designs is carried out by considering the concept of the VoI, by performing pre-posterior analysis, and the idea of a perfect experiment is discussed.

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“…Fig. 1 shows the Greenup lock and the miter gate (image adapted from the USACE website and Eick et al [45]). Loss of contact in the quoin blocks is the most commonly observed damage mode in such systems [39,41,40].…”

Section: Miter Gate: Finite Element Modelmentioning

confidence: 99%

A probabilistic optimal sensor design approach for structural health monitoring using risk-weightedf-divergence

Yang

Chadha

et al. 2021

Mechanical Systems and Signal Processing

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This paper presents a new approach to optimal sensor design for structural health monitoring (SHM) applications using a modified -divergence objective functional. One of the primary goals of SHM is to infer the unknown and uncertain damage state parameter(s) from the acquired data or features derived from the data. In this work, we consider the loss of boundary contact (a "gap") between a navigation lock miter gate and the supporting wall quoin block at the bottom of the gate to be the damage state parameter of concern. The design problem requires the optimal sensor placement of strain gages to obtain the best possible inference of the probability distribution of the gap length using the data from the multi-dimensional strain-gauge array. Using the notion of -divergences (measures of difference between probability distributions), a risk-adjustment is made by using functions that weigh the importance of acquiring useful information for a given true value of the state-parameter and using Bayesian optimization. For this case study of miter gate monitoring, a computationally expensive high-fidelity finite element model and its digital surrogate is employed to provide efficient, previously-validated data.

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Feasibility of retrofitting existing miter-type lock gates with discontinuous contact blocks

Cited by 6 publications

References 6 publications

The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions

The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions

An alternative quantification of the value of information in structural health monitoring

A probabilistic optimal sensor design approach for structural health monitoring using risk-weightedf-divergence

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