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    EFFECT OF FLY-ASH AMOUNT AND CEMENT TYPE ON THE CORROSION PERFORMANCE OF THE STEEL EMBEDDED IN CONCRETE
    (INST ZA KOVINSKE MATERIALE I IN TEHNOLOGIE, 2012) Boga, Ahmet Raif; Topcu, Ilker Bekir; Ozturk, Murat
    In this study the corrosion performance of the steel embedded in the concrete produced by using three different types of cement (CEM II/B-M (P-L) 32.5 R. CEM I 42.5 R and CEM I 52.5 R) was investigated. 300 kg/m(3) and 375 kg/m(3) dosages of the cement with (0, 10 and 20) % of fly-ash (FA) replacements of cement were used to produce the concretes. These concretes were cured for 28 d and 180 d. The mechanical properties of the concretes were determined and the corrosion performances of the reinforced-concrete specimens were determined using the impressed voltage test. After the impressed voltage test weight losses occurred because of the corrosion that was determined. The results of this study show that using composite cement and an FA replacement of the cement are useful in combating corrosion.
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    Using ANN and ANFIS to predict the mechanical and chloride permeability properties of concrete containing GGBFS and CNI
    (ELSEVIER SCI LTD, 2013) Boga, Ahmet Raif; Ozturk, Murat; Topcu, Ilker Bekir
    This study examined the effects of using ground-granulated blast furnace slag (GGBFS) and calcium nitrite-based corrosion inhibitor (CNI) on the mechanical and durability properties of concrete (compressive strength, splitting tensile strength, chloride ion permeability). Concrete specimens containing only blast furnace slag, calcium nitrite-based corrosion inhibitors, and a combination of these components in different ratios were produced with reference specimens. On the 28th, 56th and 90th days following production, tests were administered that involved allowing all specimens to cure via two different methods, which include the condition under uncontrolled relative humidity (air cure - K1) and temperature, as well as the standard cure condition (water cure - K2). The effects of cure type and curing period on concrete containing GGBFS and CNI were determined. In total, 162 tests were administered for compressive strength, splitting tensile strength, and chloride ion permeability (54 tests each). In addition, the formulated four-layered artificial neural network method (ANN) and the adaptive neuro-fuzzy inference system (ANFIS) were trained using 120 of the 162 specimens. The methods were tested with the other 42 specimens for each parameter. Increasing the curing periods and applying the water cure instead of the air cure on concrete containing GGBFS and CNI resulted in significant improvement of the mechanical properties and chloride ion permeability of the concrete. It was also determined that experimental data can be estimated to a notably close extent via the ANN and ANFIS models. (c) 2012 Elsevier Ltd. All rights reserved.