کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6714769 1428738 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Simplex-lattice strength and permeability optimization of concrete incorporating silica fume and natural pozzolan
ترجمه فارسی عنوان
استحکام و مقاومت نفوذپذیری بتن با استفاده از جت سیلیس و پوزولان طبیعی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی
In this paper, 24 high performance concrete (HPC) mixtures with 0.25 and 0.40 water-to-binder ratios (w/b) were designed and cast with binary and ternary blends of Portland cement (PC), silica fume (SF) and natural pozzolan (NP). The effect of using NP and SF on the strength and the chloride permeability of the concrete was investigated. The experimental results and simplex-lattice theory were used to develop the quadratic and third order analytical models for predicting the strength and the permeability of HPC. ANOVA confirms the accuracy of the quadratic model and therefore its efficiency requires relatively less experimental data. Two different numerical methods have been used to optimize the cementitious components of HPC using the quadratic model and lower and upper bounds of the experimental test results. Firstly, the “solver” tool of MS office provides unique optimum components of PC, SF and NP. The corresponding optimum percentages (by weight) of PC, SF and NP for HPC with 0.25 and 0.40 w/b are 86.04%, 8.16% and 5.80% and 88.78%, 5.85% and 5.37%, respectively. Secondly, the ternary plots produced by MATLAB establishes a single area for manufacturing HPC with w/b of 0.40 (the optimized PC-SP-NP component ranges are 0.875-0.925, 0.10-0.15 and 0.000-0.075, respectively) and two candidate superior strength zones for developing HPC with w/b of 0.25 (the optimum PC-SP-NP components are 0.875-0.950, 0.050-0.075, and 0.00-0.08 or 0.875-0.900, 0.08-0.15, and 0.12-0.22, respectively). For better sustainable, cost-effect and eco-friendly designs, it is suggested to use the topography of the targeted response surface for optimization purposes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Construction and Building Materials - Volume 168, 20 April 2018, Pages 199-208
نویسندگان
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