TY  - CONF
AU  - Isailović, Dušan
AU  - Hajdin, Rade
AU  - Matos, J.C.
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/992
AB  - Bridge quality, as a measure of its compliance with the performance goals is tracked by the quality control plan. In other words, the quality could be understood as a comparison between performance indicators and performance goals. Reliability is widely recognized as the most important key performance indicator. This paper proposes a new approach to the mentioned comparison that provides valuable information and consequently improve decision-making regarding future course of action. A current quality control plan is facing certain limitations. Defects are being detected in the inspection and documented in the inspection report. In the most cases, however the essential information for reliability assessment i.e. the extent and location of the defects is not recorded. The proposed approach uses a Bayesian net for the prior analysis of the bridge. Afterwards, the net is updated after each inspection, allowing a posterior analysis of the bridge reliability. A damage free state of the bridge, so-called “virgin state” is adopted as a baseline, while inspectors are asked to estimate the severity of the defect and consider the vulnerability of the structural system for the locations of defects.
PB  - International Association for Bridge and Structural Engineering (IABSE)
C3  - IABSE Symposium, Nantes 2018: Tomorrow's Megastructures
T1  - Bridge quality control using Bayesian net
UR  - https://hdl.handle.net/21.15107/rcub_grafar_992
ER  - 

@conference{
author = "Isailović, Dušan and Hajdin, Rade and Matos, J.C.",
year = "2019",
abstract = "Bridge quality, as a measure of its compliance with the performance goals is tracked by the quality control plan. In other words, the quality could be understood as a comparison between performance indicators and performance goals. Reliability is widely recognized as the most important key performance indicator. This paper proposes a new approach to the mentioned comparison that provides valuable information and consequently improve decision-making regarding future course of action. A current quality control plan is facing certain limitations. Defects are being detected in the inspection and documented in the inspection report. In the most cases, however the essential information for reliability assessment i.e. the extent and location of the defects is not recorded. The proposed approach uses a Bayesian net for the prior analysis of the bridge. Afterwards, the net is updated after each inspection, allowing a posterior analysis of the bridge reliability. A damage free state of the bridge, so-called “virgin state” is adopted as a baseline, while inspectors are asked to estimate the severity of the defect and consider the vulnerability of the structural system for the locations of defects.",
publisher = "International Association for Bridge and Structural Engineering (IABSE)",
journal = "IABSE Symposium, Nantes 2018: Tomorrow's Megastructures",
title = "Bridge quality control using Bayesian net",
url = "https://hdl.handle.net/21.15107/rcub_grafar_992"
}

Isailović, D., Hajdin, R.,& Matos, J.C.. (2019). Bridge quality control using Bayesian net. in IABSE Symposium, Nantes 2018: Tomorrow's Megastructures
International Association for Bridge and Structural Engineering (IABSE)..
https://hdl.handle.net/21.15107/rcub_grafar_992

Isailović D, Hajdin R, Matos J. Bridge quality control using Bayesian net. in IABSE Symposium, Nantes 2018: Tomorrow's Megastructures. 2019;.
https://hdl.handle.net/21.15107/rcub_grafar_992 .

Isailović, Dušan, Hajdin, Rade, Matos, J.C., "Bridge quality control using Bayesian net" in IABSE Symposium, Nantes 2018: Tomorrow's Megastructures (2019),
https://hdl.handle.net/21.15107/rcub_grafar_992 .