The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks

Jürgen Hackl; Jochen Köhler

The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The concrete deterioration caused by corrosion is a complex physical, chemical and mechanical process. The modeling of this process is subjected to significant uncertainties, which are based on a simplistic model representation of the actual physical process and limited information on material, environmental and loading characteristics.The present work proposes a generic framework for the estimation of structural reliability of a potentially corroded reinforced concrete element. This framework combines structural reliability analysis and Bayesian networks. Thereby uncertainties by model parameters, but also additional information, provided by measurements, monitoring and inspection results, are considered.

Original language	English (US)
Title of host publication	12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
Publisher	University of British Columbia
ISBN (Electronic)	9780888652454
State	Published - 2015
Externally published	Yes
Event	12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada Duration: Jul 12 2015 → Jul 15 2015

Publication series

Name	12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

Conference

Conference	12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
Country/Territory	Canada
City	Vancouver
Period	7/12/15 → 7/15/15

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering
Statistics and Probability

Cite this

Hackl, J., & Köhler, J. (2015). The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015 (12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015). University of British Columbia.

Hackl, Jürgen ; Köhler, Jochen. / The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks. 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015. University of British Columbia, 2015. (12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015).

@inproceedings{198fd6fea338412783bc0239c487c96c,

title = "The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks",

abstract = "The concrete deterioration caused by corrosion is a complex physical, chemical and mechanical process. The modeling of this process is subjected to significant uncertainties, which are based on a simplistic model representation of the actual physical process and limited information on material, environmental and loading characteristics.The present work proposes a generic framework for the estimation of structural reliability of a potentially corroded reinforced concrete element. This framework combines structural reliability analysis and Bayesian networks. Thereby uncertainties by model parameters, but also additional information, provided by measurements, monitoring and inspection results, are considered.",

author = "J{\"u}rgen Hackl and Jochen K{\"o}hler",

year = "2015",

language = "English (US)",

series = "12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015",

publisher = "University of British Columbia",

booktitle = "12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015",

address = "Canada",

note = "12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 ; Conference date: 12-07-2015 Through 15-07-2015",

}

Hackl, J & Köhler, J 2015, The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks. in 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015. 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015, University of British Columbia, 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012, Vancouver, Canada, 7/12/15.

The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks. / Hackl, Jürgen; Köhler, Jochen.
12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015. University of British Columbia, 2015. (12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks

AU - Hackl, Jürgen

AU - Köhler, Jochen

PY - 2015

Y1 - 2015

N2 - The concrete deterioration caused by corrosion is a complex physical, chemical and mechanical process. The modeling of this process is subjected to significant uncertainties, which are based on a simplistic model representation of the actual physical process and limited information on material, environmental and loading characteristics.The present work proposes a generic framework for the estimation of structural reliability of a potentially corroded reinforced concrete element. This framework combines structural reliability analysis and Bayesian networks. Thereby uncertainties by model parameters, but also additional information, provided by measurements, monitoring and inspection results, are considered.

AB - The concrete deterioration caused by corrosion is a complex physical, chemical and mechanical process. The modeling of this process is subjected to significant uncertainties, which are based on a simplistic model representation of the actual physical process and limited information on material, environmental and loading characteristics.The present work proposes a generic framework for the estimation of structural reliability of a potentially corroded reinforced concrete element. This framework combines structural reliability analysis and Bayesian networks. Thereby uncertainties by model parameters, but also additional information, provided by measurements, monitoring and inspection results, are considered.

UR - http://www.scopus.com/inward/record.url?scp=84978664422&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978664422&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84978664422

T3 - 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

BT - 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

PB - University of British Columbia

T2 - 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012

Y2 - 12 July 2015 through 15 July 2015

ER -

Hackl J, Köhler J. The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015. University of British Columbia. 2015. (12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015).

The assessment of the reliability of potentially deteriorated reinforced concrete elements with Bayesian networks

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this