Stochastic deterioration processes for bridge lifetime assessment

Khalid Aboura; Bijan Samali; Keith Crews; Jianchun Li

doi:10.1109/BROADCOM.2008.6

Stochastic deterioration processes for bridge lifetime assessment

Khalid Aboura
, Bijan Samali
, Keith Crews
, Jianchun Li

University of Technology Sydney

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

3 Citations (Scopus)

Abstract

The Markov chain model can be found in the maintenance and repair problems since the early 60's, is introduced to the maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. In this article, we highlight the shortfalls of the Markov model for bridge infrastructure lifetime assessment and promote the use of stochastic processes. We use examples from a study for the modeling of the condition of bridges that considers more than 15 years of data. We argue for the applicability of the gamma process and other stochastic processes.

Original language	English
Title of host publication	Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008
Pages	437-442
Number of pages	6
DOIs	https://doi.org/10.1109/BROADCOM.2008.6
Publication status	Published - 2008
Externally published	Yes
Event	3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008 - Pretoria, Gauteng, South Africa Duration: 23 Nov 2008 → 26 Nov 2008

Publication series

Name	Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008

Conference

Conference	3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008
Country/Territory	South Africa
City	Pretoria, Gauteng
Period	23/11/08 → 26/11/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/BROADCOM.2008.6

Cite this

Aboura, K., Samali, B., Crews, K., & Li, J. (2008). Stochastic deterioration processes for bridge lifetime assessment. In Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008 (pp. 437-442). Article 4696145 (Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008). https://doi.org/10.1109/BROADCOM.2008.6

Aboura, Khalid ; Samali, Bijan ; Crews, Keith et al. / Stochastic deterioration processes for bridge lifetime assessment. Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008. 2008. pp. 437-442 (Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008).

@inproceedings{b3b9d9d12c31415783e727b83d6abd90,

title = "Stochastic deterioration processes for bridge lifetime assessment",

abstract = "The Markov chain model can be found in the maintenance and repair problems since the early 60's, is introduced to the maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. In this article, we highlight the shortfalls of the Markov model for bridge infrastructure lifetime assessment and promote the use of stochastic processes. We use examples from a study for the modeling of the condition of bridges that considers more than 15 years of data. We argue for the applicability of the gamma process and other stochastic processes.",

author = "Khalid Aboura and Bijan Samali and Keith Crews and Jianchun Li",

year = "2008",

doi = "10.1109/BROADCOM.2008.6",

language = "English",

isbn = "9780769534534",

series = "Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008",

pages = "437--442",

booktitle = "Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008",

note = "3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008 ; Conference date: 23-11-2008 Through 26-11-2008",

}

Aboura, K, Samali, B, Crews, K & Li, J 2008, Stochastic deterioration processes for bridge lifetime assessment. in Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008., 4696145, Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008, pp. 437-442, 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008, Pretoria, Gauteng, South Africa, 23/11/08. https://doi.org/10.1109/BROADCOM.2008.6

Stochastic deterioration processes for bridge lifetime assessment. / Aboura, Khalid; Samali, Bijan; Crews, Keith et al.
Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008. 2008. p. 437-442 4696145 (Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008).

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Stochastic deterioration processes for bridge lifetime assessment

AU - Aboura, Khalid

AU - Samali, Bijan

AU - Crews, Keith

AU - Li, Jianchun

PY - 2008

Y1 - 2008

N2 - The Markov chain model can be found in the maintenance and repair problems since the early 60's, is introduced to the maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. In this article, we highlight the shortfalls of the Markov model for bridge infrastructure lifetime assessment and promote the use of stochastic processes. We use examples from a study for the modeling of the condition of bridges that considers more than 15 years of data. We argue for the applicability of the gamma process and other stochastic processes.

AB - The Markov chain model can be found in the maintenance and repair problems since the early 60's, is introduced to the maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. In this article, we highlight the shortfalls of the Markov model for bridge infrastructure lifetime assessment and promote the use of stochastic processes. We use examples from a study for the modeling of the condition of bridges that considers more than 15 years of data. We argue for the applicability of the gamma process and other stochastic processes.

UR - https://www.scopus.com/pages/publications/67549146877

U2 - 10.1109/BROADCOM.2008.6

DO - 10.1109/BROADCOM.2008.6

M3 - Conference Paper

AN - SCOPUS:67549146877

SN - 9780769534534

T3 - Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008

SP - 437

EP - 442

BT - Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008

T2 - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008

Y2 - 23 November 2008 through 26 November 2008

ER -

Aboura K, Samali B, Crews K, Li J. Stochastic deterioration processes for bridge lifetime assessment. In Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008. 2008. p. 437-442. 4696145. (Proceedings - 3rd International Conference on Broadband Communications, Informatics and Biomedical Applications, BroadCom 2008). doi: 10.1109/BROADCOM.2008.6

Stochastic deterioration processes for bridge lifetime assessment

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