A predicting fatigue life of miter gate anchorages with stochastic modeling and limited sensor data

Nathaniel M. Levine, Brian A. Eick, Eric O. Johnson, Billie F. Spencer, Matthew D. Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The US Army Corps of Engineers (USACE) maintains a large inventory of lock and dam structures along inland waterways in the US. Miter gates are key components of lock systems and therefore the ability to assess the fatigue life of miter gates is critical to direct maintenance operations and prevent costly disruptions to commercial traffic. Miter gates are supported by steel anchorages, which transfer the gate overturning reaction to the concrete lock wall. Many anchorages have been in service for 80 to 90 years and may be approaching the end of their fatigue life. However, their condition is unknown because they are embedded in concrete. We present a new method that addresses four major challenges for predicting fatigue life of miter gate anchorages: (1) estimating loads on the anchorage; (2) computing stress ranges in the anchorage based on those loads, accounting for steel-concrete interaction; (3) estimating the number of load cycles on the anchorage; and (4) incorporating uncertainty and the ability to update estimates based on inspection data. The goal of this method is to predict anchorage fatigue life without strain gage data. It is prohibitively expensive to install instrumentation on every anchor in the USACE inventory, and therefore the limited available instrumentation is used to verify the proposed methodology. Using this framework, fatigue life estimates are made using S-N curves. Ultimately, the deterministic fatigue life predictions will be incorporated in a stochastic model that accounts for uncertainties in loading and modeling assumptions.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
PublisherDEStech Publications Inc.
Pages325-332
Number of pages8
ISBN (Electronic)9781605956015
StatePublished - Jan 1 2019
Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States
Duration: Sep 10 2019Sep 12 2019

Publication series

NameStructural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
Volume1

Conference

Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
CountryUnited States
CityStanford
Period9/10/199/12/19

Fingerprint

Fatigue
Fatigue of materials
Sensors
Steel
Concretes
Uncertainty
Loads (forces)
Inland waterways
Engineers
Equipment and Supplies
Stochastic models
Strain gages
Anchors
Dams
Inspection
Maintenance

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

Cite this

Levine, N. M., Eick, B. A., Johnson, E. O., Spencer, B. F., & Smith, M. D. (2019). A predicting fatigue life of miter gate anchorages with stochastic modeling and limited sensor data. In F-K. Chang, A. Guemes, & F. Kopsaftopoulos (Eds.), Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring (pp. 325-332). (Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring; Vol. 1). DEStech Publications Inc..

A predicting fatigue life of miter gate anchorages with stochastic modeling and limited sensor data. / Levine, Nathaniel M.; Eick, Brian A.; Johnson, Eric O.; Spencer, Billie F.; Smith, Matthew D.

Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. ed. / Fu-Kuo Chang; Alfredo Guemes; Fotis Kopsaftopoulos. DEStech Publications Inc., 2019. p. 325-332 (Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring; Vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Levine, NM, Eick, BA, Johnson, EO, Spencer, BF & Smith, MD 2019, A predicting fatigue life of miter gate anchorages with stochastic modeling and limited sensor data. in F-K Chang, A Guemes & F Kopsaftopoulos (eds), Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, vol. 1, DEStech Publications Inc., pp. 325-332, 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019, Stanford, United States, 9/10/19.
Levine NM, Eick BA, Johnson EO, Spencer BF, Smith MD. A predicting fatigue life of miter gate anchorages with stochastic modeling and limited sensor data. In Chang F-K, Guemes A, Kopsaftopoulos F, editors, Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. DEStech Publications Inc. 2019. p. 325-332. (Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring).
Levine, Nathaniel M. ; Eick, Brian A. ; Johnson, Eric O. ; Spencer, Billie F. ; Smith, Matthew D. / A predicting fatigue life of miter gate anchorages with stochastic modeling and limited sensor data. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. editor / Fu-Kuo Chang ; Alfredo Guemes ; Fotis Kopsaftopoulos. DEStech Publications Inc., 2019. pp. 325-332 (Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring).
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