نتایج جستجو برای: strength parameters

تعداد نتایج: 767374  

Journal: :International Journal for Research in Applied Science and Engineering Technology 2021

Journal: :Journal of physics 2022

This work aims to study four parameters that influence the compressive strength of compressed earth blocks (CEB): clay mineralogy, grain size, formatting pressure, and water content. Five soils with different mineralogical composition were used first parameter. 12.5, 25, 40 60% aggregates sized 0/2, 0/4 0/6.3 mm added soil second CEB compacted at 100, 200 300 kN third 3, 6 10% fourth Test speci...

Journal: :VESTNIK of Samara University. Aerospace and Mechanical Engineering 2018

Journal: :Machinery & energetics 2022

Existing designs of screw working bodies transport and processing machines cannot always provide the required performance avoid overloading, which causes deformation damage to parts mechanisms. Thus, it is necessary establish new efficient that would ensure execution technological process. The purpose study was substantiate explore design methodology for calculating main structural-power parame...

پهلوانی, مهدی, پوررحیم قورقچی, آمنه,

Objective: Talent identification reduces stint to achieve better sports performances by elite athletes and enables application of scientific training. The purpose of this study was prioritizing the anthropometric, biomechanical and physiological characteristics of the elite boys in 200m Backstroke swimming for identifying their talents and predicting their performances. Methods: 34...

2014
Dian-Qing Li Xiao-Hui Qi Kok-Kwang Phoon Li-Min Zhang Chuang-Bing Zhou

This paper studies the reliability of infinite slopes in the presence of spatially variable shear strength parameters that increase linearly with depth. The mean trend of the shear strength parameters increasing with depth is highlighted. The spatial variability in the undrained shear strength and the friction angle is modeled using random field theory. Infinite slope examples are presented to ...

2014
R. Chitra Manish Gupta

Over the last few years or so, the use of artificial neural networks (ANNs) has increased in many areas of engineering. In particular, ANNs have been applied to many geotechnical engineering problems such as to predict pile capacity, settlement, liquefaction etc. The correlations between shear strength parameters and other soil properties individually are common among Geotechnical engineers. Bu...

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