A Non-destructive Method for the determination of Carbonation Time for Nominal Concrete Cover Depth Using Non-Linear En-semble Prediction

Salim Idris Malami*, Pinar Akpinar

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

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Abstract

Carbonation, a process involving the reaction of carbon dioxide and moisture, results in the for-mation of powdery calcium carbonate, a critical durability issue causing reinforcement corrosion. The study analyzed carbonation data from coastal and inland buildings in the Turkish Republic of Northern Cyprus, re-vealing higher carbonation rates than anticipated within their lifespan. An artificial intelligence model named Support Vector Machine (SVM) was applied to predict carbonation time (T) to penetrate concrete cover of 25mm in the TRNC. Subsequently used two ensemble techniques, namely Neural Network Ensembles (NNE) and Support Vector Machine Ensembles (SVME) to enhance the performance of the prediction of T. Four performance criteria namely Correlation Coefficient (CC), Root Mean Square Error (RMSE), Correlation Co-efficient (R2), Mean Absolute Error (MAE) was applied to verify the modelling accuracy. The Values of R2 of Ensemble techniques indicated significant increase in the performance, greater than the SVM model. This shows that using ensemble techniques is promising in getting better predictions of carbonation time (T) to penetrate concrete cover. The results obtained showed that NNE and SVME combination demonstrated the best performance under the evaluation criteria of R2 = 0.8721 and R2 = 0.8644 in testing phases respectively in comparison SVM-M1 to SVM-M3.

Original languageEnglish
Article number02011
JournalE3S Web of Conferences
Volume497
Early online date7 Mar 2024
DOIs
Publication statusPublished - 7 Mar 2024
Event5th International Conference on Energetics, Civil and Agricultural Engineering 2024 - Samarkand, Uzbekistan
Duration: 13 May 202414 May 2024

ASJC Scopus subject areas

  • General Environmental Science
  • General Energy
  • General Earth and Planetary Sciences

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