Condition Prediction of Existing Concrete Bridges as a Combination of Visual Inspection and Analytical Models of Deterioration
In most state-of-the-art Bridge Management Systems, structural condition is predicted by a homogeneous Markov chain model that uses condition ratings assigned during visual inspections. Although generally accepted, such an approach exhibits certain shortcomings, one of which is not considering the n...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/9/1/148 |
id |
doaj-e0897731b8d24c4db54c41c8ab292cd4 |
---|---|
record_format |
Article |
spelling |
doaj-e0897731b8d24c4db54c41c8ab292cd42020-11-25T00:13:44ZengMDPI AGApplied Sciences2076-34172019-01-019114810.3390/app9010148app9010148Condition Prediction of Existing Concrete Bridges as a Combination of Visual Inspection and Analytical Models of DeteriorationIvan Zambon0Anja Vidović1Alfred Strauss2Jose Matos3Department of Civil Engineering and Natural Hazards, University of Natural Resources and Life Sciences, Peter-Jordan-Straße 82, 1190 Vienna, AustriaDepartment of Civil Engineering and Natural Hazards, University of Natural Resources and Life Sciences, Peter-Jordan-Straße 82, 1190 Vienna, AustriaDepartment of Civil Engineering and Natural Hazards, University of Natural Resources and Life Sciences, Peter-Jordan-Straße 82, 1190 Vienna, AustriaCivil Engineering Department, Campus de Azurém, Minho University, 4800-058 Guimarães, PortugalIn most state-of-the-art Bridge Management Systems, structural condition is predicted by a homogeneous Markov chain model that uses condition ratings assigned during visual inspections. Although generally accepted, such an approach exhibits certain shortcomings, one of which is not considering the nature of actual physical phenomena that cause deterioration. To overcome this shortcoming, this article presents a framework that combines both information on condition ratings through the semi-Markov process and knowledge of bridge properties using analytical deterioration models. In this manner, and contrary to current practice, not only are the results of visual inspection taken into account, but also information such as environmental loading, as well as material and structural properties. The presented framework was implemented in the case study bridge, in which the deterioration caused by carbonation-induced corrosion was studied. Along with the implementation in the case study, the article contained a detailed overview of the subject of carbonation-induced corrosion and emphasized issues that require additional research in order to develop the framework into a comprehensive and fully applicable tool for condition prediction. Accounting for its adaptability to other material types and deterioration processes and its consideration of the historic deterioration path, the framework presents a suitable alternative to frameworks presently implemented for condition prediction.http://www.mdpi.com/2076-3417/9/1/148concrete bridgescondition predictionbridge management systemsemi-Markov processMarkov chaincarbonation-induced corrosionstructural performancedeterioration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ivan Zambon Anja Vidović Alfred Strauss Jose Matos |
spellingShingle |
Ivan Zambon Anja Vidović Alfred Strauss Jose Matos Condition Prediction of Existing Concrete Bridges as a Combination of Visual Inspection and Analytical Models of Deterioration Applied Sciences concrete bridges condition prediction bridge management system semi-Markov process Markov chain carbonation-induced corrosion structural performance deterioration |
author_facet |
Ivan Zambon Anja Vidović Alfred Strauss Jose Matos |
author_sort |
Ivan Zambon |
title |
Condition Prediction of Existing Concrete Bridges as a Combination of Visual Inspection and Analytical Models of Deterioration |
title_short |
Condition Prediction of Existing Concrete Bridges as a Combination of Visual Inspection and Analytical Models of Deterioration |
title_full |
Condition Prediction of Existing Concrete Bridges as a Combination of Visual Inspection and Analytical Models of Deterioration |
title_fullStr |
Condition Prediction of Existing Concrete Bridges as a Combination of Visual Inspection and Analytical Models of Deterioration |
title_full_unstemmed |
Condition Prediction of Existing Concrete Bridges as a Combination of Visual Inspection and Analytical Models of Deterioration |
title_sort |
condition prediction of existing concrete bridges as a combination of visual inspection and analytical models of deterioration |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2019-01-01 |
description |
In most state-of-the-art Bridge Management Systems, structural condition is predicted by a homogeneous Markov chain model that uses condition ratings assigned during visual inspections. Although generally accepted, such an approach exhibits certain shortcomings, one of which is not considering the nature of actual physical phenomena that cause deterioration. To overcome this shortcoming, this article presents a framework that combines both information on condition ratings through the semi-Markov process and knowledge of bridge properties using analytical deterioration models. In this manner, and contrary to current practice, not only are the results of visual inspection taken into account, but also information such as environmental loading, as well as material and structural properties. The presented framework was implemented in the case study bridge, in which the deterioration caused by carbonation-induced corrosion was studied. Along with the implementation in the case study, the article contained a detailed overview of the subject of carbonation-induced corrosion and emphasized issues that require additional research in order to develop the framework into a comprehensive and fully applicable tool for condition prediction. Accounting for its adaptability to other material types and deterioration processes and its consideration of the historic deterioration path, the framework presents a suitable alternative to frameworks presently implemented for condition prediction. |
topic |
concrete bridges condition prediction bridge management system semi-Markov process Markov chain carbonation-induced corrosion structural performance deterioration |
url |
http://www.mdpi.com/2076-3417/9/1/148 |
work_keys_str_mv |
AT ivanzambon conditionpredictionofexistingconcretebridgesasacombinationofvisualinspectionandanalyticalmodelsofdeterioration AT anjavidovic conditionpredictionofexistingconcretebridgesasacombinationofvisualinspectionandanalyticalmodelsofdeterioration AT alfredstrauss conditionpredictionofexistingconcretebridgesasacombinationofvisualinspectionandanalyticalmodelsofdeterioration AT josematos conditionpredictionofexistingconcretebridgesasacombinationofvisualinspectionandanalyticalmodelsofdeterioration |
_version_ |
1725393287501578240 |