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All Journal Jurnal Aplikasi Teknik Sipil
ABM Diah
Universiti Teknikal
Civil Engineering, Building, Construction & Architecture

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Concrete Structures Life Span Based on Carbonation Rate Using Artificial Neural Network MF Nuruddin; ABM Diah; TR Biyanto; M Sigit Darmawan; Ridho Bayuaji
Jurnal Aplikasi Teknik Sipil Vol 9, No 2 (2011)
Publisher : Departemen Teknik Infrastruktur Sipil Institut Teknologi Sepuluh Nopember Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (111.501 KB) | DOI: 10.12962/j12345678.v9i2.2774

Abstract

The study on the influence of carbonation on concrete is critical as it affects the life span of the concrete structure when corrosion of reinforcement takes place. This research elucidates the carbonation effect on concrete from different environments and concrete samples of grades 15, 20, 25, 30, 35, 40, and 50 MPa. Two set of samples were considered namely controlled sample in the laboratory and on sites samples. In conclusion, it was found that across the board on average, carbonation improved the concrete integrity by 11%. The development of the model using neural networks for the prediction of a carbonation penetration, which consists of two input variables and one output variable were presented. 
Co-Authors M Sigit Darmawan MF Nuruddin Ridho Bayuaji TR Biyanto