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Sensitivity analysis of landing condition parameters is needed for researching on the affect of landing responses.
(2) Confirmed the probability density function of random factors, and supposed all of the factors were independent mutually
(3) Each random factors created random numbers in the interval of [0,1] （3） Where is the number of variables, .
It is the most typical DOE with reasonably uniform sampling point distribution property.
As can be seen from the Figure 2(c), when the horizontal velocity is low, the acceleration is less affected by gradient.

The pulse velocity in a concrete depends on its density and its elastic properties.
Introduction Exposure of concrete to elevated temperature affects its mechanical and physical properties [1].
Concrete’s thermal properties are more complex than for most materials because not only is the concrete a composite material whose constituents have different properties, but its properties also depends on moisture and porosity.
Maximum Length Sequence with well-defined power spectra, crest factor of 1 and excellent autocorrelation property, make an ideal candidate for NDT.
Up to these temperatures, there is a decrease of concrete mechanical properties, but then there is the slight increase.

The method of pressure processing or shaping deformation is the preparation technology for the production of mechanical engineering as well as the final product shaping technology, which not only allows to create the shape of the product but also high-quality metal products for mechanical-chemical, material saving and high labour productivity, thus lowering the cost of products.
Correct parameter sets will be selected through the variance analysis and used to simulate the finished product Material Properties Figure 1 depicts the stress strain curve for SUS304 stainless steel material used to produce the rice tray according to the continuous equation (1).
Using the Taguchi method will find the optimum data depending on the factors that affect the testing process and product quality as well as cost.
The friction coefficient is the most important parameter that affects the formability of a SUS304 material during deep drawing simulation.
The most important factor affecting the quality of the product and also optimum values will be determined by ANOVA of TAGUCHI method such as: clamping force - Q = 9 tons, friction coefficient - µ = 0,1and thickness of the sheet - a = 0,9 mm.

Due to the elongated shape of the wood cells and the oriented structure of the cell walls, its properties differ greatly in individual directions.
In addition to the natural structure of wood, there are other factors that affect its properties.
In addition, another property of wood is its ability to change its moisture content depending on the environment in which it is located, and thus its properties also change.
All these factors need to be evaluated when evaluating the quality of wood.
Schmid, .Zkoušení cihelného zdiva v konstrukci, Diagnostika stavebních konstrukcí– přednášky (In Czech), 2005 [10] EN 408:2010+A1:2012, Timber structures - Structural timber and glued laminated timber - Determination of some physical and mechanical properties, CEN, 2012

Therefore, the transmission efficiency of screw conveyor has become the key that affecting the development of port logistics.
Thus the influence factors of horizontal screw conveyor transport efficiency are concluded, providing theoretical basis for the design of efficient horizontal screw conveyor, realizing the forecast of working performance of the screw conveyor, providing a new way for optimal design of screw conveyor.
(2) The physical properties of particles and the geometry In the simulation of the actual system, the rationality of physical properties of materials is the key to ensure that the simulation results is close to the reality, the physical properties of the materials involved in simulation are shown in Table 1 and Table 2 [8].
Table 1 Material Properties Table Material Poisson's ratio Shear Modulus(Pa) Density (kg/m3) Rice 0.40 1053 Steel 0.30 7850 Table 2 Contact Property Table Interac-tion.
Continuous conveyor Mechanical Design Handbook [M].Beijin: China Railway Press，2001

For one or the other the results are different as regards the mechanical properties and microstructure.
Mechanical Properties Fig 11 shows that mortar samples (SC5) exhibit the best mechanical performance at 7 and 28 days compared to mortar samples (SC3) and (SC4).
This phenomenon generally causes the degradation of the binder and leads to falls in final resistances Fig. 13: Mortar samples SC5 Fig.14: Efflorescence geopolymer specimens The content of Na2O (contained in the alkaline solution) is considered as a determining factor affecting the mechanical properties.
Wang : Thermal behavior and mechanical properties of geopolymer mortar after exposure to elevated temperatures, Constr.
Chaudhary: Mechanism of geopolymerization and factors influencing its development: a review.

Frost Resistance Mechanism Frost resistance of steel fiber reinforced lightweight aggregate concrete includes two key effect factors.
The level of various factors usually depends on the experience.
Yu, Factors affecting frost resistance of concrete and its prevention measures, Learned Journal of Taishan Township Enterprises University for Employees, 2 (2010) 47-48
Chen, Test of LC50 level high performance ceramic concrete mechanical properties and durability, in: Ninth National lightweight aggregate and lightweight aggregate concrete Symposium and the Third Cross-Strait lightweight aggregate concrete in the production and application technology seminar Proceedings, 2008, pp247-254
Zhu, Analysis of factors affecting on frost resistance of concrete, Technological Innovation Herald, 29 (2011)

Porosity of ductile iron castings is easily formed and the final integrity of a casting, e.g. mechanical properties and surface finish, is greatly influenced by the presence of porosity.
Fig. 5 Predicted area of porosity risk There are many factors influence the microstructure and mechanical properties of ductile iron castings, such as chemical composition, cooling rate, liquid treatment and heat treatment[10-13].
For identical conditions, cooling rate plays a significant role in determining the microstructure and hence mechanical properties of heavy section ductile iron [12].
Mechanical properties are acceptable for the casting, as shown in Table 2.
Porosity is successfully avoided and Mechanical properties of the casting produced based on simulation results meet the demands.

However, these same properties make welding copper particularly challenging, especially when automating industrial processes.
The pressure ensures adequate contact between the components and is a key factor in weld strength, working in conjunction with vibration amplitude, which determines the amount of heat generated and directly impacts the quality of the joint.
Influence of the process parameters on the properties of Cu-Cu ultrasonic welds.
A Review On Ultrasonic Welding of Various Materials and Their Mechanical Properties.
Effect of ultrasonic welding parameters on microstructure and mechanical properties of dissimilar joints.

In the result of the evaluation of mechanical properties of these steels, it was confirmed there were steels which indicated different elongation even if they had almost same volume fraction and carbon content of retained austenite.
But recently there are some results which can to be interpreted by these factors.
Tensile properties (tensile strength (TS), total elongation (EL), uniform elongation (uEL)) were evaluated using JIS No.5 specimens.
Result Fig. 1 indicates the tensile properties of the heat treated specimens.
By the way, it is well known that there are a lot of factors which affect diffraction profiles, for example, dislocation density, arrangement of dislocation, applied strain, texture and so on.