scholarly journals COMPARATIVE STUDY OF DYNAMIC AND STATIC YOUNG'S MODULUS OF CONCRETE CONTAINING BASALTIC AGGREGATES

2021 ◽  
pp. e00645
Author(s):  
William de Araujo Thomaz ◽  
Dan Yushin Miyaji ◽  
Edna Possan
Keyword(s):  
Comparative Study ◽  
Young’S Modulus ◽  
Young's Modulus ◽  
Static Young’S Modulus

Mechanical Properties and Decay Resistance of Wood Polymer Composites (WPC)

2011 ◽  
Vol 264-265 ◽  
pp. 819-824 ◽  
Author(s):  
Md. Rezaur Rahman ◽  
Sinin Hamdan ◽  
M. Saiful Islam ◽  
Md. Shahjahan Mondol
Keyword(s):  
Polymer Composites ◽  
Young’S Modulus ◽  
Modulus Of Elasticity ◽  
Young's Modulus ◽  
Decay Resistance ◽  
Modulus Of Rupture ◽  
Wood Polymer ◽  
Static Young’S Modulus ◽  
Wood Polymer Composites ◽  
Wood Polymer Composite

In Malaysia, especially Borneo Island Sarawak has a large scale of tropical wood species. In this study, selected raw tropical wood species namely Artocarpus Elasticus, Artocarpus Rigidus, Xylopia Spp, Koompassia Malaccensis and Eugenia Spp were chemically treated with sodium meta periodate to convert them into wood polymer composites. Manufactured wood polymer composites were characterized using mechanical testing (modulus of elasticity (MOE), modulus of rupture (MOR), static Young’s modulus) and decay resistance test. Modulus of elasticity and modulus of rupture were calculated using three point bending test. Static Young’s modulus and decay resistance were calculated using compression parallel to gain test and natural laboratory decay test respectively. The manufactured wood polymer composites yielded higher modulus of elasticity, modulus of rupture and static Young’s modulus. Wood polymer composite had high resistant to decay exposure, while Eugenia Spp wood polymer composite had highly resistant compared to the other ones.

scholarly journals Application of Machine Learning in Evaluation of the Static Young’s Modulus for Sandstone Formations

2020 ◽  
Vol 12 (5) ◽  
pp. 1880 ◽  
Author(s):  
Ahmed Abdulhamid Mahmoud ◽  
Salaheldin Elkatatny ◽  
Dhafer Al Shehri
Keyword(s):  
Machine Learning ◽  
Young’S Modulus ◽  
Transit Time ◽  
Young's Modulus ◽  
Wellbore Stability ◽  
Learning Models ◽  
Static Young’S Modulus ◽  
Data Points ◽  
Sandstone Formation ◽  
Machine Learning Models

Prediction of the mechanical characteristics of the reservoir formations, such as static Young’s modulus (Estatic), is very important for the evaluation of the wellbore stability and development of the earth geomechanical model. Estatic considerably varies with the change in the lithology. Therefore, a robust model for Estatic prediction is needed. In this study, the predictability of Estatic for sandstone formation using four machine learning models was evaluated. The design parameters of the machine learning models were optimized to improve their predictability. The machine learning models were trained to estimate Estatic based on bulk formation density, compressional transit time, and shear transit time. The machine learning models were trained and tested using 592 well log data points and their corresponding core-derived Estatic values collected from one sandstone formation in well-A and then validated on 38 data points collected from a sandstone formation in well-B. Among the machine learning models developed in this work, Mamdani fuzzy interference system was the highly accurate model to predict Estatic for the validation data with an average absolute percentage error of only 1.56% and R of 0.999. The developed static Young’s modulus prediction models could help the new generation to characterize the formation rock with less cost and safe operation.

Measuring the quasi-static Young’s modulus of the eardrum using an indentation technique

2010 ◽  
Vol 263 (1-2) ◽  
pp. 168-176 ◽  
Author(s):  
S. Mohammad Hesabgar ◽  
Harry Marshall ◽  
Sumit K. Agrawal ◽  
Abbas Samani ◽  
Hanif M. Ladak
Keyword(s):  
Young’S Modulus ◽  
Young's Modulus ◽  
Indentation Technique ◽  
Static Young’S Modulus

Experimental Research on the Dynamic Young’s Modulus of Specified Density Concrete

2011 ◽  
Vol 250-253 ◽  
pp. 164-167
Author(s):  
Xiao Er Zhou ◽  
Yan Kun Zhang ◽  
De Min Jiang
Keyword(s):  
Young’S Modulus ◽  
Experimental Research ◽  
Vibration Frequency ◽  
Modulus Of Elasticity ◽  
Dynamic Modulus ◽  
Natural Vibration ◽  
Young's Modulus ◽  
Natural Vibration Frequency ◽  
Dynamic Modulus Of Elasticity ◽  
Static Young’S Modulus

From the experimental research, the relations between the dynamic modulus of elasticity and natural vibration frequency of specified density concrete are studied, the static Young’s modulus and dynamic modulus are compared. Based on regression analysis, the influence of different Substitution ratio of lightweight aggregate, age of concrete and cement water ratio is studied. According to the test results, the formula of natural vibration frequency and the dynamic modulus of elasticity of Specified density concrete is given, which provide theory basis for the nondestructive detector of the specified density concrete.

scholarly journals Comparative study of nitrogen implantation effect on mechanical and tribological properties of Ti-6Al-4V and Ti-10Zr-10Nb-5Ta alloys

2019 ◽  
Vol 85 (2) ◽  
pp. 21301 ◽  
Author(s):  
Stéphanie Carquigny ◽  
Jamal Takadoum ◽  
Steliana Ivanescu
Keyword(s):  
Comparative Study ◽  
Young’S Modulus ◽  
Tribological Properties ◽  
Tribological Behavior ◽  
Young's Modulus ◽  
Implantation Dose ◽  
Nitrogen Implantation ◽  
Mechanical And Tribological Properties ◽  
Counterpart Material

The effect of nitrogen implantation on mechanical and tribological properties of Ti-6Al-4V and Ti-10Zr-10Nb-5Ta alloys was studied. Increasing implantation dose from 1 × 1016 N+/cm2 to 2 × 1017 N+/cm2 leads to increase gradually both hardness and Young's modulus. The results show that implantation of 2 × 1017 N+/cm2 allowed to double the value of Young's modulus and to triple the value of hardness. Friction tests that have been conducted against 100Cr6 steel and alumina balls showed that tribological behavior of the two alloys depend on the nature of the counterpart material and is strongly affected by the implanted dose of nitrogen.

Determination of Young's modulus and shear modulus by means of deflection curves for wood beams obtained in static bending tests

Holzforschung ◽  
2007 ◽  
Vol 61 (5) ◽  
pp. 589-594 ◽  
Author(s):  
Koji Murata ◽  
Tsubasa Kanazawa
Keyword(s):  
Shear Modulus ◽  
Young’S Modulus ◽  
Polynomial Regression ◽  
Young's Modulus ◽  
Dynamic Properties ◽  
Flexural Vibration ◽  
Bending Test ◽  
Deflection Curve ◽  
Element Analysis ◽  
Static Young’S Modulus

Abstract Young's modulus and shear modulus were simultaneously obtained in a three-point bending test based on Timoshenko's bending theory. Deflection curves of a bent beam were measured by image analysis, and the mechanical properties of the wood were calculated by polynomial regression analysis after excluding the singular region. When beam specimens of spruce (Picea sp.) and mizunara (Quercus crispula) wood were tested, static Young's modulus (E s) and static shear modulus (G s) values could be obtained from the deflection curve using finite element analysis. By comparing the dynamic properties (E d and G d) obtained by a flexural vibration test, it was estimated that E s was greater than E d, while G s was less than G d. However, we suppose that the G s values calculated from the deflection curve are more plausible than those obtained from a conventional bending test.

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