A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models
This work focuses on predicting corrosion onset induced by concrete carbonation or chloride ingress when using analytical predictive models. The paper proposes a procedure that helps building and infrastructure managers to select an appropriate model depending on the available information and the me...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/3286721 |
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| author | N. Rakotovao Ravahatra T. de Larrard F. Duprat E. Bastidas-Arteaga F. Schoefs |
| author_facet | N. Rakotovao Ravahatra T. de Larrard F. Duprat E. Bastidas-Arteaga F. Schoefs |
| author_sort | N. Rakotovao Ravahatra |
| collection | DOAJ |
| description | This work focuses on predicting corrosion onset induced by concrete carbonation or chloride ingress when using analytical predictive models. The paper proposes a procedure that helps building and infrastructure managers to select an appropriate model depending on the available information and the means granted to auscultation campaigns. The approach proposed combines the costs of input parameters, their relative importance, the benefits brought through obtaining parameters, and the maintenance strategy of the manager. Costs represent the intellectual investment to obtain parameters. This encompasses the time spent to obtain and analyze a result and the required expertise. Relative importance and benefits are obtained from sensitivity analysis. The effect of the maintenance strategy is introduced through a scalar called efficiency of the model. The proposed methodology is illustrated with two case studies where it is supposed that more or less extended information is available. Three concrete qualities are also considered in the case studies. The results highlight that the available data and concrete type have significant impacts on the selection of the most appropriate model. |
| format | Article |
| id | doaj-art-1f3935c1348647c3a55afadafa03b382 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-1f3935c1348647c3a55afadafa03b3822025-02-03T00:58:57ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/32867213286721A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset ModelsN. Rakotovao Ravahatra0T. de Larrard1F. Duprat2E. Bastidas-Arteaga3F. Schoefs4Université de Nantes, Research Institute in Civil and Mechanical Engineering (GeM), UMR CNRS 6183, Nantes, FranceUniversité de Toulouse, UPS, INSA, Materials and Durability of Constructions Laboratory (LMDC), Toulouse, FranceUniversité de Toulouse, UPS, INSA, Materials and Durability of Constructions Laboratory (LMDC), Toulouse, FranceUniversité de Nantes, Research Institute in Civil and Mechanical Engineering (GeM), UMR CNRS 6183, Nantes, FranceUniversité de Nantes, Research Institute in Civil and Mechanical Engineering (GeM), UMR CNRS 6183, Nantes, FranceThis work focuses on predicting corrosion onset induced by concrete carbonation or chloride ingress when using analytical predictive models. The paper proposes a procedure that helps building and infrastructure managers to select an appropriate model depending on the available information and the means granted to auscultation campaigns. The approach proposed combines the costs of input parameters, their relative importance, the benefits brought through obtaining parameters, and the maintenance strategy of the manager. Costs represent the intellectual investment to obtain parameters. This encompasses the time spent to obtain and analyze a result and the required expertise. Relative importance and benefits are obtained from sensitivity analysis. The effect of the maintenance strategy is introduced through a scalar called efficiency of the model. The proposed methodology is illustrated with two case studies where it is supposed that more or less extended information is available. Three concrete qualities are also considered in the case studies. The results highlight that the available data and concrete type have significant impacts on the selection of the most appropriate model.http://dx.doi.org/10.1155/2020/3286721 |
| spellingShingle | N. Rakotovao Ravahatra T. de Larrard F. Duprat E. Bastidas-Arteaga F. Schoefs A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models Advances in Civil Engineering |
| title | A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models |
| title_full | A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models |
| title_fullStr | A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models |
| title_full_unstemmed | A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models |
| title_short | A Cost-Benefit Methodology for Selecting Analytical Reinforced Concrete Corrosion Onset Models |
| title_sort | cost benefit methodology for selecting analytical reinforced concrete corrosion onset models |
| url | http://dx.doi.org/10.1155/2020/3286721 |
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