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      Prediction of the failure stress of hydrogen-rich water based cement mortar using the Weibull distribution model

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      https://www.riss.kr/link?id=A105289666

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      다국어 초록 (Multilingual Abstract)

      The paper presents the compressive strength distribution pattern of the hydrogen-rich water based cement mortar. In this study, themortar samples were fabricated using different concentrations of hydrogen-rich water (0.2-0.5 ppm). The performance of h...

      The paper presents the compressive strength distribution pattern of the hydrogen-rich water based cement mortar. In this study, themortar samples were fabricated using different concentrations of hydrogen-rich water (0.2-0.5 ppm). The performance of hydrogenrichwater was evaluated measuring the setting time and the compressive strength of the mortar samples. Subsequently, the strengthdata were statistically analyzed using the Weibull distribution model in the 37% and the 95% confidence level (survival probability).
      Analyzing the results, it is anticipated that the use of hydrogen-rich water for the fabrication of mortar leads to set the cement quicklyand yields comparatively greater compressive strength than that of the control mortar prepared using normal water. Based on theWeibull distribution analysis, it is predicted that the mortar prepared using 0.5 ppm hydrogen-rich water would not break under 31.46MPa compressive stresses in 95% cases. Finally, based on the scanning electron microscopy in conjugation with the X-ray diffractionand thermogravimetry analysis, a plausible model has been proposed to explain the overall performances of the hydrogen-rich waterbasedmortar.

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      참고문헌 (Reference)

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      8 Jo, B. W., "Prediction of the curing time to achieve maturity of the nano cement based concrete using the Weibull distribution model" 84 : 307-314, 2015

      9 Subasi, S., "Prediction of mechanical properties of cement containing class C fly ash by using artificial neural network and regression technique" 4 (4): 289-297, 2009

      10 Erdal, M., "Prediction of compressive strength of vacuum processed concretes using artificial neural network and regression techniques" 4 (4): 1057-1065, 2009

      1 Amaral, P. M., "Weibull statistical analysis of granite bending strength" 41 : 917-928, 2008

      2 Karpisek, Z., "WeibulL fuzzy proba bility distribution for reliability of concrete structures" 17 (17): 363-372, 2010

      3 Weibull, W., "The phenomenon of rupture in solids" 151-153 : 1-55, 1939

      4 Tanyildizi, H., "Statistical analysis for mechanical properties of polypropylene fiber reinforced lightweight concrete containing silica fume exposed to high temperature" 30 : 3252-3258, 2009

      5 Stangenberg, F., "Reliability-based aging management of reinforced concrete structures with respect to prognostic material degradation" Iziis 2001

      6 Neville, A. M., "Properties of Concrete, (Fifth edition)" Pearson Education Asia Pvt. Ltd. 2011

      7 Tamura, S., "Properties and applicability of structure of PVA-modified concrete" 2004

      8 Jo, B. W., "Prediction of the curing time to achieve maturity of the nano cement based concrete using the Weibull distribution model" 84 : 307-314, 2015

      9 Subasi, S., "Prediction of mechanical properties of cement containing class C fly ash by using artificial neural network and regression technique" 4 (4): 289-297, 2009

      10 Erdal, M., "Prediction of compressive strength of vacuum processed concretes using artificial neural network and regression techniques" 4 (4): 1057-1065, 2009

      11 Siddique, R., "Prediction of compressive strength of self compacting concrete containing bottom ash using artificial neural networks" 42 : 780-786, 2011

      12 Neelakantan, T. R., "Prediction of 28-day compressive strength of concrete from early strength and accelerated curing parameters" 5 (5): 2013

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      16 Silva, D., "Impact of accelerators and retarders on the hydration of portland cement" 2009

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      23 Tomofuji, T., "Effects of hydrogen-rich water on aging periodontal tissues in rats" 4 (4): 2014

      24 Kang, K. M., "Effects of drinking hydrogen-rich water on the quality of life of patients treated with radiotherapy for liver tumors" 1 : 11-, 2011

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      30 Ishibashi, T., "Consumption of water containing a high concentration of molecular hydrogen reduces oxidative stress and disease activity in patients with rheumatoid arthritis: an open-label pilot study" 2 : 27-, 2012

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      39 Gartner, E., "Catalysis of cement hydration by chemical admixtures, A lecture note"

      40 Mollah, M. Y. A., "An X-Ray Diffraction, Fourier-Transform Electron Microscopy/Energy-Dispersive Infrared Spectroscopy, and Scanning Spectroscopic Investigation of the Effect of Sodium Lignosulfonate Superplasticizer on the Hydration of Portland Cement Type V" 38 (38): 849-868, 1999

      41 "ASTM C150, Standard specification for portland cement"

      42 "ASTM C 191, Standard test methods for time of setting of hydraulic cement by vicat needle"

      43 "ASTM C 1437, Standard test method for flow of hydraulic cement mortar"

      44 "ASTM C 109/C 109M, Standard test method for compressive strength of hydraulic cement mortars. American Society for Testing and Materials"

      45 "ACI Education Bulletin E4-12, Chemical Admixtures for Concrete, ACI Committee E-701" American concrete institute 2013

      46 Juenger, M. C. G., "A soft X-ray microscope investigation into the effects of calcium chloride on tricalcium silicate hydration" 35 : 19-25, 2005

      47 Das, D., "A proposed statistical procedure for assessment of strength of concrete from low sample size using monte carlo simulation" 2 (2): 195-207, 2013

      48 Jo, B. W., "A mild alkali treated jute fibre controlling the hydration behaviour of greener cement paste" 5 (5): 2015

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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.59 0.12 0.49
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.42 0.39 0.286 0.06
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