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For this reason, a particular attention should be paid to the mechanical performances of asphalt mix that constitutes the roads.
I-Relationship between Mechanical Performances of Mix and the Contact Aggregate-Asphalt: The mechanical performances of the asphalt mix depend on the formulation, the fabrication process, the materials compaction, and especially the nature of the contact between asphalt and the aggregates.
The aggregates from the mechanical crushing of solid rocks lead to mixes that are more resistant to stripping in comparison with those derived from materials with rounded facets.
The roughness of the aggregates affects the process of asphalt wetting.
Muller, Investigations on bitumen/polymer/filler interactions and rheological properties of mastics.

Table 1 shows the Properties of the clay, Table 2 shows the properties of the natural sand while the chemical constituents are shown in Table 3.
Future studies can explore the mechanical properties of the bricks with the same proportion of fiber.
Sohounhloue, "Influence of the Kenaf fiber length on the mechanical and thermal properties of compressed earth blocks (CEB)," KSCE.
Sujatha, "Physical, mechanical and durability properties of soil building blocks reinforced with synthetic fiber," Int.
Liang, "Factors affecting the swelling-compression characteristics of clay in Yichang, China," Advances in Civil Engineering, vol. 2019, no.

One path to improve piezoelectric properties is through alloying these materials.
Elastic Stiffness Constants: The anisotropic mechanical properties of materials are described using elastic constants to relating stress and strain relationship.
The c/a ratio may be the dominant factor in determining the total polarization.
They have much better piezoelectric properties than compared to their pure ABO3.
Nye, “Physical properties of crystals” Clarendon press, (1985)

So, to use these opposite air movements usually the Wells turbine is employed, which has the property of maintaining the rotation direction irrespective of the flow direction.
Moreover, under-relaxation factors of 0.3 and 0.7 are imposed for the conservation equations of continuity and momentum, respectively.
To do so, the Root Mean Square (RSM) statistical technique which is indicated for varying quantities was adopted, being given by [26]: (11) In Fig. 5(a) it is possible to observe how the amplification factor is affected by the variation of the height of the incident waves, while in Fig. 5(b) it is showed the influence suffered by the available hydropneumatic power of the OWC in virtue of the different heights of simulated waves.
Thesis in Mechanical Engineering, University Nova de Lisboa, Lisboa, 2011
Thesis in Mechanical Engineering, University Nova de Lisboa, Lisboa, 2009

The results could greatly affect the dynamic properties of mechanism.
In order to adapt the mechanical trend of high speed and precision, the dynamic balancing technology of main driving mechanism has become one of the key technologies of modern cold rolling mills.
Fig.1 diagram of crank-slider mechanism (1) Where Array reflects inertia force and inertia moment; Array reflects reaction of kinematic pair and input torque. 2) Dynamic property indexes of mechanism The dynamic property indexes reflect inertia effect of mechanism.
Among dynamic property indexes of optimal balance system in main driving mechanism of cold rolling mill, balance coefficient and balance position play great influences on the optimal property of each index.
A mapping relationship between fitness function and dynamic property index should be constructed.

It is also utilized for the characterization of photonic properties.
The research also focuses on experimentation with a solar stand as an ideal solar simulator having fewer affecting variables like clouds, air, or even rain.
The experimental setup will be isolated from environmental factors such as air mass, humidity, and cloud cover.
The location and environmental factors are addressed during the experiment duration.
A summary of the thermophysical properties of the material is given in Table 1.

Introduction Corrosion can be defined as degradation of quality and properties in a material due to the chemical reaction between the components of the material and the surrounding [1, 2].
Carbon steel has been the most widely used structural material which is abundantly available, inexpensive and has adequate mechanical properties but has a high general corrosion rate [1, 3].
Metallurgical factor is one of the primary concerns to the corrosion of welded carbon steel[5, 6].
Heat should be avoided during the cutting process in order not to affect the original microstructure of the sample.
Nonetheless, thickness of the material which was 3mm in this study has affected the penetration level of the weldment.

Influence of Pressure Amplitude on Formability in Pulsating Hydro-bugling of AZ31B Magnesium Alloy Sheet Yang lianfa 1,a, Yi liang 1,b and Guo chen 2,c 1 School of Mechanical & Electrical Engineering, Guilin University of Electronic Technology, Guilin, 541004, China 2School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China ay-lianfa@163.com, byiliang7141585@163.com, cgch@mail.xjtu.edu.cn Keywords: Pressure amplitude, Uniform expansion, Plastic behavior.
Introduction Magnesium alloy sheets have attracted a lot of attention for structural applications essentially due to their lightweight, high strength-to-weight ratio and good electromagnetic shielding property [1, 3].
As mentioned above, the pulsating hydro-forming technology has displayed remarkable effect on improving the formability of a tube in hydro-forming and great potential application, however, the factors that improve the formability in the pulsating hydroforming are still unclear although several factors are considered, because fundamental studies on the pulsating hydroforming are scarce.
The purpose of this paper is to investigate by finite element analysis how the pulsating pressure affects the formability of AZ31B magnesium alloy sheets. 1 FE Simulations of Pulsating Hydro-bugling of AZ31B Sheet The AZ31B magnesium alloy sheet with a diameter of 40 mm and 0.6 mm in thickness was employed in the present finite element simulation.
The mechanical properties used in the simulation are shown in Table 1.

In this regard, the formation of carbon nanotube junctions which has amazing electronic properties are a key issue and is still not fully understood.
These techniques proposed include electron beam irradiation or ion irradiation, mechanical manipulation with atomic force microscope, nanotube soldering, chemical functionalization, and heat welding.
Despite the progress made thus far, both the mechanics of the bond formation of the junction and the dominant factors in the heating-welding process have not been well studied yet.
There are many factors that affect the bond formation of the junction during the heating welding process, including the elevated temperature, wall-to-wall distance of the two crossed SWCNTs, chirality of the two crossed SWCNTs and the annealing time.
Defects distribution will also affect the heat welding process of the SWCNTs.

Short-term Wind Speed Forecasting Based on Time Series-State Transition Method Jie Ji 1, a, Yongtao Shen 2, b, Mengsi Tan 3, c, Lining Wu4, Jianhua Zhang5, Zongqi Liu6 1, 2, 3, 5, 6Transmission and Distribution System Research Institute, 4School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing, China aglossary@126.com, bsyt19880927@163.com, ctanmengsi1990@163.com Keywords: wind speed forecasting; error; time series; state transition; time series-state transition Abstract: Wind speed forecasting is of great significance to the improvement of grid stability and the reduction of operating cost.
Reference [1] utilizes Persistence Method to predict wind speed, whereas the accuracy is relatively low; reference [2] uses Kalman Filtering Method, which is on the assumption that the statistical properties of noises are the same.
Simultaneously, the state transition model can achieve the division of any single data types, without considering its affecting factors.
Among large numbers of history wind speed data which is influenced by various factors, there are also some abnormal data.