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Online since: March 2015
Authors: Yan Hua Liu
There is a good uniformity between micro-structural change and macro-mechanical properties.
To some degree, its geotechnical properties are affected by the formation environment and deposition conditions.
Basic Geotechnical Properties Samples and Physical Properties.
The existence of structure in the mixed cohesive soils is an essential factor that results in its relatively good mechanical properties.
The mechanical parameters are significantly affected by sample disturbance due to its high sensitivity.
Online since: October 2010
Authors: Lin Gao, Nasir Hayat, Ghulam Hussain
In the current paper, the mechanical properties and spifability (i.e.
The mechanical properties were mainly determined through tensile testing and the spifability was evaluated using Varying Wall Angle Conical Frustum (VWACF) test.
The mechanical properties of these materials were determined by performing standard tensile tests.
In order to identify the most influential property affecting the degree of formability improvement, the correlation of each property, listed in Table 1, with FLDo(inc) - FLDo(con) was examined.
Though 3 material properties form relationships with formability improvement, true thickness strain at tensile fracture being highest in R2 (multiple correlation factor) value is a better choice.
Online since: December 2010
Authors: Torsten Sjögren, Henrik Svensson
The purpose of the experiments was to study the effect of the matrix structure on the overall mechanical properties.
An emphasis is put on the pearlite interlamellar spacing because this controls the resulting mechanical properties to a large extent.
These were done separately to get an indication of how differences in the casting process might affect the determined properties.
The mechanical properties were determined from standard tensile tests according to SS-EN 10 002-1 [8].
Rantala: The effects of alloying and thermal factors on the solidification and mechanical properties of gray iron, (Technical Research Centre of Finland, Espoo 1989)
Online since: August 2010
Authors: Kamal Henri Khayat, Wu Jian Long, Feng Xing
The mixtures were evaluated to determine several key responses that affect the fresh properties of precast, prestressed concrete, including filling ability, passing ability, filling capacity, surface settlement, and column segregation.
Five key mixture parameters were selected to derive statistical models to evaluate key properties of SCC.
All factors are expressed in terms of coded values.
The models are expressed as the factors with the highest influence on the modeled responses list by descending order.
J., Khayat, K.H., "Statistical Models to Predict Mechanical and Visco-Elastic Properties of SCC", Proceedings, 2nd International Symposium on Design, Performance and Use of Self-Consolidating Concrete, Beijing, China, June 5-7, 2009, pp 506-525
Online since: January 2011
Authors: Shahrum Abdullah, Ahmad Kamal Ariffin, M. Abdul Razzaq, Z. Sajuri, A.E. Ismail, Azli Ariffin
There are many factors affecting fatigue crack growth such as; crack length, orientation of crack, thickens of the cylinder and the load ratio.
Fatigue crack growth as consequence of service loads depends on many different contributing factors.
The steel material is selected with the mechanical properties shown in Table 1.
In addition, the magnitude of these affects depends on loading variables, specimen geometry, material properties, microstructure and environment.
Among many factors affecting the FCG, the effect of initial crack and stress ratio are shown.
Online since: December 2019
Authors: Dien Vu Kim, Sofia I. Bazhenova, Boris I. Bulgakov, Tang Van Lam
Additionally, the central composite design method of Box-Wilson for second order factors was used to predict the EPS and BA effects on the polystyrene concrete properties.
Besides, the main properties of the tested specimens also were investigated.
Levels and intervals of the CCD varying factors Parameter factors Description factors Levels varying factors Intervals varying factors -1.414 -1 0 +1 +1.414 BA amount (%) x1 14.5 20 30 40 45.5 10% and 5.5% EPS Amount (%) x2 24.5 30 40 50 55.5 10% and 5.5% The number of the CCD experiments for the two factors is indicated by formula (2): N = 2k +2×k + m. (2) where: k is the factors number (k = 2) and m is the trials number repeating at the center (m = 5 as suggested by Williams [1] and Wackerly et al. [2]).
In the future, further investigations have to be carried out to study the ways where bottom ash as a natural fine aggregate replacement and expanded polystyrene waste as a lightweight aggregate in concrete, which affects the rheological properties of fresh concrete, mechanical and durability properties of hardened mass.
Mechanical properties of EPS lightweight concrete, Construction Materials, 164, CM4 (2011), 173-180
Online since: October 2012
Authors: Jin Chao Yue, Song Yin, Chang Li Xiao
Meanwhile the influences of solidification agent content and curing age on the mechanical properties of solidification agent stabilized iron tailing gravel were investigated.
The results show that solidification agent stabilized iron tailing gravel has better mechanical properties.
The mechanical properties of solidification agent stabilized iron tailing gravel conform to the current specification, so it can be used as highway sub-base material.
The influences of cement and solidification agent on the maximum dry density, optimum moisture content and 7d unconfined compressive strength were investigated according to the results, some of which meet the required strength were prepared for further study on mechanical properties.
(3) It can be seen from table 3 that there are 6 proportions meet the design strength requirements[6](Rc,7d,0.95>Rd=2.5MPa),the following 4 proportions are prepared for further study on mechanical properties under the specific technical and economic requirements and other factors.
Online since: July 2006
Authors: Xing Ai, Jun Zhao, Su Yu Wang, Z.J. Lv
It is shown that the thermal load produced at higher cutting speed is the primary factor affecting the residual stress in the machined surface layer.
Therefore, the primary factors affecting the residual stress may be plastic deformation and cutting temperatures in high-speed machining.
In practice, there are a number of factors affecting the machining accuracy and surface quality, such as the tool geometry parameters, workpiece material behaviors, the machining parameters and the random variables of the cutting process.
Table 1 Thermal and mechanical properties of the workpiece Young's modulus E [GPa] Yield strength σs [MPa] Thermal conductivity Λ [W/ m·?]
It shows that the thermal stress affecting the residual stress σy is dominating factor at higher cutting speed due to the cutting temperature increasing with the raise of the cutting speed.
Online since: April 2021
Authors: Sujan Debnath, Abdul Hamid, Alokesh Pramanik, Dominick Wong, Izman Sudin, Mahmood Anwar
Numerous literatures have suggested that the presence of void negatively affect its mechanical properties and effective degassing process is one the solutions for such issue.
Reinforcing materials are a form of fillers, they are added into the matrix of the parent material to enhance its mechanical properties.
While it is believed that mechanical air entrapment is the main cause of void formations, other factors such as geometry, mold complexity, resin properties and flow rate can affect its size and location.
For every 1 % of void content found in the composite, its mechanical properties can be reduced by up to 20 % [17].
Gu, Factors affecting thermal conductivities of the polymers and polymer composites: A review Composites Science and Technology 193, 108134 (2020)
Online since: July 2016
Authors: Shan Shan Hu, Dong Rui Zheng, Bi Tao Yang, Bo Dong Zeng, Zi Li Yang
In this study, the welding process and properties were investigated by pulsed Nd:YAG laser welding.
The distribution of welding surface microhardness test point (Unit: mm) After observation of weld surface morphology and analysis of mechanical properties for the single factor experiment welding, the range of welding parameters value for orthogonal test was determined and defocus distance (Z) was -1 mm.
Random repeated four factors three levels orthogonal test L9(34) was adopted.
Table 2 Orthogonal experimental factors and levels Test factors Levels Current (I) 150,160,170 [A] Pulse width (T) 15,24,25 [ms] Frequence (f) 4,5,6 [Hz] Wedling speed (V) 500,600,700 [mm/ min] Equipments.
Sharef, Gas tungsten arc and laser beam welding processes effects on duplex stainless steel 2205 properties, Mater.
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