2014
DOI: 10.1155/2014/360532
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Predicting Future Deterioration of Hydraulic Steel Structures with Markov Chain and Multivariate Samples of Statistical Distributions

Abstract: Combined effects of several complex phenomena cause the deterioration of elements of steel hydraulic structures on the nation’s lock systems: loss of protective systems, corrosion, cracking and fatigue, impacts, and overloads. This paper presents examples of deterioration of steel hydraulic structures. A method for predicting future deterioration based on current conditions is also presented. This paper also includes a procedure for developing deterioration curves when condition state data is available.

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Cited by 9 publications
(10 citation statements)
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“…To counter this unintended situation, the engineers at the U.S. Army Engineer Research and Development Center (ERDC) have been investigating new ways of designing, maintaining, and repairing our navigational infrastructure for the past three decades. The ERDC has been actively contributing to the understanding of HSS distress features through observation; inspection; and physical, analytical, and computational modeling [16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…To counter this unintended situation, the engineers at the U.S. Army Engineer Research and Development Center (ERDC) have been investigating new ways of designing, maintaining, and repairing our navigational infrastructure for the past three decades. The ERDC has been actively contributing to the understanding of HSS distress features through observation; inspection; and physical, analytical, and computational modeling [16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…Over eighty percent of the navigation steel structures (NSS) within the United States are near to or exceeding their design life [1,2,3]. Due to deterioration over time and cyclic operation in submerged, highly corrosive environments, NSSs are experiencing fatigue and cracking.…”
Section: Introductionmentioning
confidence: 99%
“…Deterministic model at any given time is assumed to be known with certainty being that its condition can be precisely predicted using mathematical functions. Unlike deterministic model, probabilistic-based model is used to predict the future situation of an asset (Ortiz-garcía et al , 2006; Li et al , 2014; Riveros and Arredondo, 2014). Probabilistic-based model is utilised to predict the future performance or conditional state using either continuous probabilistic models or discrete probabilistic models.…”
Section: Introductionmentioning
confidence: 99%
“…Mc Dulling (2006) utilised the Markovian model towards the development of transition probability for the prediction of service life in hospital buildings. Other sectors that have benefited are the railways and bridges (Wellalage et al , 2015; Karunarathna and Dwight, 2013; Morcous et al , 2003), the infrastructure asset management (Han et al , 2014; Kobayashi et al , 2012), hydraulic steel structures (Riveros and Arredondo, 2014), stochastic-based life cycle planning (Voskoglou, 2010; Costello et al , 2005; Zhang and Brani, 2005), offshore structures (Zhang et al , 2016) and mechanical systems (Fang et al , 2016).…”
Section: Introductionmentioning
confidence: 99%