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Shear strength of compacted Chlef sand: effect of water content, fines content and others parameters

dense state then the influence of water content (w = 0, 1, 2, 3%) on the shear strength and on the mechanical characteristics c and φ of clean sand and finally the influence of the preparation method on the shear strength of the sand-silt mixtures with a fines content 0, 10, 20, 30 and 40% and water content in the dry and the wet case. 2 Laboratory Test Program 2.1 Tested Materials The tests were carried out on the sand of Oued Chlef (Chlef, Algeria), containing 0.5% of non-plastic silt with I p = 5.02%. The sand was sieved to 0.08mm to obtain the fines, and

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Time of concentration based infiltration under different soil density, water content, and slope during a steady rainfall

REFERENCES A lmeida I.K., A lmeida A.K., G abas S.G., S obrinho T.A. 2017. Performance of methods for estimating the time of concentration in a watershed of a tropical region. Hydrological Sciences Journal. Vol. 62. Iss. 14 p. 2406–2414. DOI 10.1080/02626667.2017.1384549. A nderson S.H., R anjith P.U., S eobi T., G arret H.E. 2009. Soil water content and infiltration in agroforestry buffer strips. Agroforestry System. Vol. 75 p. 5–16. B en -Z vi A. 2012. Detention storage over 2D laboratory watersheds at concentration time. Journal of

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Experiment and prediction of water content of sour natural gas with an modified cubic plus association equation of state

LITERATURE CITED 1. And, A.H.M. & Richon, D. (2008). Semiempirical method for determining water content of methane-rich hydrocarbon gas in equilibrium with gas hydrates. Ind. & Enginee. Chem. Res. 47(2), 451–458. DOI: 10.1021/ie070372h. 2. Lin, Z., Li, L., Zhu, J., Li, Q. & Fan, J. (2015). Analytical methods to calculate water content in natural gas. Chem.Enginee. Res. & Design , 93, 148–162. DOI: 10.1016/j.cherd.2014.05.021. 3. GPSA. (1998). Engineering Data Book. eleventh ed. Tulsa: Gas Processors Association. 4. Zirrahi, M., Azin, R

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On the role of rock fragments and initial soil water content in the potential subsurface runoff formation

.S.,Weetman, G.F., Powers, R.F. (Eds.): Sustained productivity of forest soils, Proceedings of the 7th North American forest soils conference. University of British Columbia, Faculty of Forestry Publication, Vancouver, Canada, pp. 95-121. Coppola, A., Dragonetti, G., Comegna, A., Lamaddalena, N., Caushi, B., Haikal, M.A., Basile, A., 2013. Measuring and modeling water content in stony soils. Soil & Tillage Research, 128, 9−22. Cousin, I., Nicollaud, B., Coutadeur, C., 2003. Influence of rock fragments on the water retention sand and water

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Soft Measurement of Water Content in Oil-Water Two-Phase Flow Based on RS-SVM Classifier and GA-NN Predictor

capacitance tomography. Measurement Science and Technology, 24, 074001. [4] Assaad, M., Aslam, M.Z. (2012). An interface circuit design based on differential capacitive sensors for accurate measurement of water contents in crude oil. In IEEE International Conference on Circuits and Systems (ICCAS). IEEE, 263-266. [5] Fortuny, M., Oliveira, C.B.Z., Melo, R.L.F.V., Nele, M., Coutinho, R.C.C., Santos, A.F. (2007). Effect of salinity, temperature, water content, and pH on the microwave demulsification of crude oil emulsions. Energy Fuels, 21

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Changes to soil water content and biomass yield under combined maize and maize-weed vegetation with different fertilization treatments in loam soil

REFERENCES Abouziena, H.F., El-Saeid, H.M., Amin, A.A.E., 2015. Water loss by weeds: a review. Int. J. ChemTech Res., 7, 1, 323–336. Acciaresi, H.A., Guiamet, J.J., 2010. Below- and above-ground growth and biomass allocation in maize and Sorghum halepense in response to soil water competition. Weed Res., 50, 481–492. Azeez, J.O., Chikoye, D., Kamara, A.Y., Menkir, A., Adetunji, M.T., 2005. Effect of drought and weed management on maize genotypes and the tensiometric soil water content of an eutric nitrisol in south western Nigeria. Plant Soil

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Dynamics of Water Content in Light Bare Soil in Summer Half-Year in the Period of 2003–2012 and its Agro-Meteorological Determinants

References Baranowski P., Kossowski J., Usowicz B. 1994. Prze-strzenna zmiennosc wilgotności gleby na polach upraw-nych [Spatial variability of soil water content in cultivated fields]. Zeszyty Problemowe Postepów Nauk Rolni-czych. Z. 405 p. 9-19. Biniak-PieróG M., ŻYromski A., Baryla A. 2011. Ocena efektywności opadów atmosferycznych w kształtowaniu zasobów wody w glebie brunatnej nieporośniętej [An assessment of rainfall effectiveness in the formation of water resources in brown bare soil]. Woda-Środowisko–Obszary Wiejskie. T. 12. Z. 4(40) p. 45

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Experimental Research on Energy Release Characteristics of Water-Bearing Sandstone Alongshore Wharf

, International Journal of Rock Mechanics & Mining Sciences, Vol. 85, pp. 27-32, 2016. 9. Song, D.Z., Wang ,E.Y., Liu, J.: Relationship between EMR and dissipated energy of coal rock mass during cyclic loading process, Safety Science, Vol. 50, no 4, pp. 751-760, 2012. 10. Vasarhelyi, B., Van, P.: Influence of water content on the strength of rock, Engineering Geology, Vol. 84, No 1-2, pp. 70-74, 2006. 11. Yilmaz, I.: Influence of water content on the strength and deformability of gypsum, International Journal of Rock Mechanics

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Proline, Soluble Sugar, Leaf Starch and Relative Water Contents of Four Maize Varieties in Response to Different Watering Regimes

REFERENCES Ahamadizadeh M., Valizadeh M., Shahbazi H., Nori A., 2012 - Behavior of durum wheat genotypes under normal irrigation and drought stress conditions in the greenhouse. Afr. J. Biotechnol., 11: 1912-1923. Al Hakimi A., Monneveux P., Galiba G., 1995 - Soluble sugars, proline and relative water content (RWC) as traits for improving drought tolerance and divergent selection for RWC from T. polonicum into T. durum . J. Genet. Breed, 49: 237-244. Barr H.D., Weatherley P.E., 1962 - A re-examination of the relative turgidity technique

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Investigating The Water Absorbance of Different Insulation Materials


In this work, the moisture absorbance of 6 different building insulation materials are inspected in a laboratory environment. After being dried to a constant weight, the materials were exposed to five different, equally distributed, relative humidity environments, ranging from 0% to 100%. At each chosen relative humidity range the weight of absorbed water content was measured. Then the results were analysed. The insulation materials were then ranked using results from this and the author’s previous work.

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