Bayesian networks to quantify transition rates in degradation modeling: Application to a set of steel bridges in the Netherlands

A Kosgodagan; O Morales Napoles; J Maljaars; T Yeung; B Castanier

doi:10.14288/1.0076121

Bayesian networks to quantify transition rates in degradation modeling: Application to a set of steel bridges in the Netherlands

A Kosgodagan, O Morales Napoles, J Maljaars, T Yeung, B Castanier

Hydraulic Structures and Flood Risk

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 12th international conference on applications of statistics and probability in civil engineering, ICASP12
Editors	T Haukaas
Place of Publication	Vancouver
Publisher	UBC Library
Pages	1-8
Number of pages	8
DOIs	https://doi.org/10.14288/1.0076121
Publication status	Published - 2015
Event	12th international conference on applications of statistics and probability in civil engineering, ICASP12, Vancouver, Canada - Vancouver Duration: 12 Jul 2015 → 15 Jul 2015

Publication series

Name
Publisher	UBC Library

Conference

Conference	12th international conference on applications of statistics and probability in civil engineering, ICASP12, Vancouver, Canada
Period	12/07/15 → 15/07/15

Keywords

Conf.proc. > 3 pag

Access to Document

10.14288/1.0076121

Cite this

Kosgodagan, A., Morales Napoles, O., Maljaars, J., Yeung, T., & Castanier, B. (2015). Bayesian networks to quantify transition rates in degradation modeling: Application to a set of steel bridges in the Netherlands. In T. Haukaas (Ed.), Proceedings of the 12th international conference on applications of statistics and probability in civil engineering, ICASP12 (pp. 1-8). UBC Library. https://doi.org/10.14288/1.0076121

Kosgodagan, A ; Morales Napoles, O ; Maljaars, J et al. / Bayesian networks to quantify transition rates in degradation modeling: Application to a set of steel bridges in the Netherlands. Proceedings of the 12th international conference on applications of statistics and probability in civil engineering, ICASP12. editor / T Haukaas. Vancouver : UBC Library, 2015. pp. 1-8

@inproceedings{f14ddd88e861466c876ed00798249773,

title = "Bayesian networks to quantify transition rates in degradation modeling: Application to a set of steel bridges in the Netherlands",

keywords = "Conf.proc. > 3 pag",

author = "A Kosgodagan and {Morales Napoles}, O and J Maljaars and T Yeung and B Castanier",

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language = "English",

publisher = "UBC Library",

pages = "1--8",

editor = "T Haukaas",

booktitle = "Proceedings of the 12th international conference on applications of statistics and probability in civil engineering, ICASP12",

note = "12th international conference on applications of statistics and probability in civil engineering, ICASP12, Vancouver, Canada ; Conference date: 12-07-2015 Through 15-07-2015",

}

Kosgodagan, A, Morales Napoles, O, Maljaars, J, Yeung, T & Castanier, B 2015, Bayesian networks to quantify transition rates in degradation modeling: Application to a set of steel bridges in the Netherlands. in T Haukaas (ed.), Proceedings of the 12th international conference on applications of statistics and probability in civil engineering, ICASP12. UBC Library, Vancouver, pp. 1-8, 12th international conference on applications of statistics and probability in civil engineering, ICASP12, Vancouver, Canada, 12/07/15. https://doi.org/10.14288/1.0076121

Bayesian networks to quantify transition rates in degradation modeling: Application to a set of steel bridges in the Netherlands. / Kosgodagan, A; Morales Napoles, O; Maljaars, J et al.
Proceedings of the 12th international conference on applications of statistics and probability in civil engineering, ICASP12. ed. / T Haukaas. Vancouver: UBC Library, 2015. p. 1-8.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Bayesian networks to quantify transition rates in degradation modeling: Application to a set of steel bridges in the Netherlands

AU - Kosgodagan, A

AU - Morales Napoles, O

AU - Maljaars, J

AU - Yeung, T

AU - Castanier, B

PY - 2015

Y1 - 2015

KW - Conf.proc. > 3 pag

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DO - 10.14288/1.0076121

M3 - Conference contribution

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BT - Proceedings of the 12th international conference on applications of statistics and probability in civil engineering, ICASP12

A2 - Haukaas, T

PB - UBC Library

CY - Vancouver

T2 - 12th international conference on applications of statistics and probability in civil engineering, ICASP12, Vancouver, Canada

Y2 - 12 July 2015 through 15 July 2015

ER -

Kosgodagan A, Morales Napoles O, Maljaars J, Yeung T, Castanier B. Bayesian networks to quantify transition rates in degradation modeling: Application to a set of steel bridges in the Netherlands. In Haukaas T, editor, Proceedings of the 12th international conference on applications of statistics and probability in civil engineering, ICASP12. Vancouver: UBC Library. 2015. p. 1-8 doi: 10.14288/1.0076121