Predicting Future Deterioration of Hydraulic Steel Structures with Markov Chain and Multivariate Samples of Statistical Distributions | Zendy

Guillermo A. Riveros | Zendy; Elias. Arredondo | Zendy

Open Access

Predicting Future Deterioration of Hydraulic Steel Structures with Markov Chain and Multivariate Samples of Statistical Distributions

Author(s) -

Guillermo A. Riveros,

Elias. Arredondo

Publication year - 2014

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2014/360532

Subject(s) - markov chain , lock (firearm) , cracking , multivariate statistics , hydraulic structure , corrosion , environmental science , engineering , structural engineering , geotechnical engineering , materials science , mathematics , statistics , metallurgy , composite material

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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