Prediction of unsaturated shear strength from microstructurally based effective stress
نویسندگان
چکیده
منابع مشابه
The Correlation between the CBR and Shear Strength in Unsaturated Soil Conditions
In pavement design, the CBR and direct shear tests are two very common laboratory investigations for predicting the strength of a subgrade layer. The relationship between the CBR and water content has been commonly presented in analyses, with the result of the direct shear being expressed from the aspect of effective cohesion and the internal friction angle. Even though most natural soil is in...
متن کاملPrediction of shear strength of FRP-reinforced concrete beams without stirrups based on genetic programming
Article history: Received 31 December 2010 Received in revised form 9 February 2011 Accepted 14 February 2011 Available online 24 March 2011
متن کاملShear strength prediction using dimensional analysis and functional networks
This paper presents a three steps methodology for predicting the failure shear effort in concrete beams. In the first step, dimensional analysis is applied to obtain several sets of dimensionless variables; in the second step, functional and neural networks are used to estimate a relation between those variables and, in the last step, the failure shear effort is recovered from the relations lea...
متن کاملSawability prediction of carbonate rocks from shear strength parameters using artificial neural networks
Circular sawing with diamond-impregnated tools has been extensively used in stone processing plants and prediction of rock sawability is important in the cost estimation and the planning of the plants. Rock sawability depends on machine characteristics, type and diameter of diamond saw, depth of cut, rate of sawing and tool wear, and rock properties. Some researchers have investigated the relat...
متن کاملShear Strength of Fiber-Reinforced Clayey Sands
Consolidated-drained triaxial compression tests were conducted to compare the stress-strain and volume change response of sands and clayey sands reinforced with discrete randomly distributed poly-propylene fibers. The influence of various test parameters such as fiber content (0.0%, 0.5% and 1.0% by weight), clay content (0%, 10% and 20% by weight), relative density (50% and 90%) and confining ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: E3S Web of Conferences
سال: 2019
ISSN: 2267-1242
DOI: 10.1051/e3sconf/20199207005