Strength analysis of concrete pavement deformation due to Alkali Silica Reaction (ASR)
Notice bibliographique
Résumé
Alkali Silica Reaction (ASR) is a chemical reaction that negatively affects concrete pavements strengths and integrity. ASR impedes concrete pavements' performance due to the formation of cracks and ultimate deformation if not properly controlled. Concrete pavements are gaining more relevance due to their ability to be constructed on soils with low bearing capacity and support high traffic loadings, thus increasing the need for studies on how ASR in the concrete pavements can be mitigated. This study employed compressive and flexural strength tests to determine the strength properties and deformation of concrete pavements due to ASR when partially replaced with CBA at varying percentages. Static structural modelling of the concrete as a multiphase material in which aggregates, cracks and gel formations are considered as embedded inclusions in the cement paste is then carried out. The results are then compared with relevant standards and findings of other researchers. The study's findings reveal that all the concrete cube samples passed the recommended compressive strength for rigid pavement, which range from 35 - 40 N/mm2 at 28th day. The concrete cube samples also passed the target strength of 48.25 N/mm2 obtained from the mix design. The effect of ASR resulted in lower compressive and flexural strengths observed at 180th and 240th days with lower CBA addition, while samples containing higher CBA contents had increasing compressive strength. The static structural modelling results reveal that the maximum deformation was obtained for the concrete cubes admixed with 0% CBA with 47.045 mm while the least deformation was obtained at 30% CBA replacement with deformation value of 5.542 mm on application of a 900 KN force. Therefore, the study posits that CBA addition will help reduce Portland Cement Concrete Pavement deformation due to ASR in relation to traffic loadings. Cite as: Adanikin A, Falade F, Olutaiwo A. Strength analysis of concrete pavement deformation due to Alkali Silica Reaction (ASR). Alg. J. Eng. Tech. 2020; 3: 020-027. http://dx.doi.org/10.5281/zenodo.4400227 References Hajighasemali S, Ramezanianpour A, Kashefizadeh M. The effect of alkali–silica reaction on strength and ductility analyses of RC beams. Magazine of concrete research. 2014;66(15):751-760. Grimal E, Sellier A, Multon S, Le Pape Y, Bourdarot E. Concrete modelling for expertise of structures affected by alkali aggregate reaction. Cement and Concrete Research. 2010 ;40(4):502-507. Monette LJ, Gardner NJ, Grattan-Bellew PE. Residual strength of reinforced concrete beams damaged by alkali-silica reaction—Examination of damage rating index method. Materials Journal. 2002 ;99(1):42-50. Huaquan YA, Zhen LI, Meijuan RA, Xiaomei SH. Study on Influence of Aggregate Combination and Inhibition Material ofAlkali-silica Reaction in Fully-Graded Concrete. Materials Science. 2020;26(3):363-372. Malhotra VM, Mehta PK. 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Investigation of the effect of Alkali-Silica Reaction (ASR) on Properties of Concrete Pavement Admixed with Cow Bone Ash (CBA) by Electrical Resistivity Method. IOP Conf. Series: Materials Science and Engineering. 2019, 640(1): 1-9 Kadyali LR. Lal NB. Principles and practices of highway engineering including expressways and airport engineering. (Khanna Publishers, New Delhi). 2014. Marzouk H. Langdon S. The effect of alkali aggregate reactivity on the mechanical properties of high and normal strength concrete. Cement and Concrete Composites. 2003;25: 549–556. Giaccio G, Zerbino R, Ponce JM, Batic OR. Mechanical behavior of concretes damaged by alkali-silica reaction. Cement and Concrete Research. 2008;38(7):993-1004.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».