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The influencing factors of cracking have regional climate characteristics, building structures, raw materials, construction standards etc.
The general crack does not affect the use, but affect the durability of concrete structures and consumer psychology.
The cracking of concrete and mortar protective layer directly affect the life of the project in the northern region with dry climate, big temperature gap and strong sunlight.
Generally it is adopted the low-calcium Fly ash, because the storage time of low-calcium Fly ash does not affect the nature of Fly ash.
[4] Xiaoqian Qian, Zongjin Li. the study on the physical and mechanical properties of high performance concrete adding the metakaolin.

You can use any unit in project analysis . 1.2 The calculation model The distribution morphology and size of soil pressure in different properties of sand beyond the pipe culvert are researched.
Because of the different sand strength in soils ,The mechanical properties of sand affected by its components is different.
So, the elastic modulus and Poisson's ratio are considered as the variable to simulate the change of sand properties.
Lateral boundary node is free to move in vertical direction, which is applied in horizontal direction constraint; the bottom boundary nodes can not move in Vertical, horizontal direction, which is put all direction constraint; the filling surface is free and does not impose constraints; The contact unit is arranged in the culvert and soil contact boundary, the target unit select Targe169 units, the contact unit is the Conta171 unit, 0.4 is taken as the friction coefficient of the contact unit. 1.3 Experimental design The numerical simulation experiment design includes two factors: soil elastic modulus (E) and soil Poisson's ratio (µ).
When the Poisson's ratio is as an invariant factor, the elastic modulus consists of three levels: 7×106Pa, 15×106Pa, 20×106Pa; When the elastic modulus is as an invariant factor, the Poisson's ratio is made up of three levels: 0.32, 0.30, 0.35.

They have remarkable electronic, optical and mechanical properties.
To use the properties in applications, SWNTs with high quality and in high quantity are required.
Tubes with different chiralities, i.e., diameters and chiral angles, have different physical properties.
The bond energy in nanotube caps and nanotubes depends on many factors.
It is mainly affected by the chirality of the structure.

Main influencing factors were obtained by comparing simulation results, so as to make preparations for further optimization.
The results of the analysis of divider showed that the deformation with powering disc tooth blade was mainly affected by its diameter, rotational speed and thickness.
The greater thickness was good to dividing, but mechanical deformation and the whole weight imbalance became more serious.
The high rotational speed caused shock, mechanical deformation and more serious power consumption.
The mechanical properties test on peas stalks [J].

Introduction Wind turbines usually operate in natural wind field and are much affected by climatic environment.
The large horizontal axis wind turbine tower is mostly conical thin-walled structure, the internal properties of the thin-walled structure are more likely to cause the whole and local buckling failure of the wind turbine tower, which is one of the major forms of damage to the tower.
In engineering, such factors as flanged connection, thickness variation, opening doorframe, and local deformation for the tower make the traditional buckling analysis methods of cylindrical shell inappropriate for the study of the wind turbine tower.
In the paper, based on the elastic stability theory, the critical load of the tower is deduced in consideration of factors like self-weight of the wind turbine, eccentric force moment, flanged connection and opening doorframe.
(3) From the last row in Table 1, it can be known that such factors as self-weight of the tower, eccentricity and doorway have influence on the buckling load to a certain degree.

., as corresponds to the well-known properties of porous materials.
The concurrence of relevant physical properties as high mechanical damping and stiffness recommends the opportunity for several new applications in the automotive, aerospace and other industries [1].
It is very sensitive to a lot of parameters during the process in such a manner that the size and distribution of pores is clearly affected, and there is not enough information concerning their predictable thermal, electrical or structural properties.
In metal foams, the microstructure of pores (size, type, and distribution) affects significantly to the effective conductivity and hence to the induced eddy currents.
If p is the porosity of the metal foam, its conductivity σ will be written as: (8) σmassive being the conductivity of the massive material and k a topologic factor related to the deviations from the isotropy of our porous sample.

In the actual logistics process,external vibration excitation is often caused package resonance and lead to final damage of the package, so understanding the package natural frequencies and mode shapes, which can avoid package resonance factors causing unnecessary losses.
X-PLY Super-intensity corrugated paperboard pads is a high-strength corrugated board structure, at the same quantitative, the strength, the stiffness and the bending strength higher 15%, the strength of flat pressure higher 92% than ordinary corrugated paperboard, with a light weight, large strength ratio and stiffness ratio, excellent compression performance, cushioning properties and vibration-proof performance.
Sek [6, 7] based on experimental data of static and quasi-dynamic compression test, established analysis model for cushioning properties of corrugated board and also studied the compressive performance, the vibration transmissibility of the corrugated paperboard by using theoretical and experimental method.
Li et al [12, 13, 14] based on the drop impact test, investigated dynamic cushioning properties of two kinds super-intensity corrugated board X-PLY (A) and X-PLY (B) and obtained the experience formula and its characteristic coefficient for dynamic buffering characteristic curve.
As corrugated core showed a corrugated shape, the size of the surface curvature will directly affect the cardboard cushioning performance.

Moreover, low R2 values are observed suggesting that there may be other factors affecting the response not considered in this study and that the model has low predictive power.
Original factors and coded levels of input variables for delignification experiments.
Similar to the lack-of-fit test, a low value of R2 also signifies that the response variable may be affected by other factors in addition to the ones considered in this study [61].
Looking into the different variables affecting lignin removal prove to be essential in the improvement of the overall process.
Appendix A: Published studies on the integration of lignin the PF resin structure with their corresponding physicochemical and mechanical properties.

The feasible mathematical method is used to efficiently search satisfying factors for three-way optimization of metallurgical properties with good balance between growth kinetics and solidification cracking resistance during attractive laser surface modification.
Effects of Y content on laser melting-deposited 24CrNiMo steel: formability, microstructural evolution and mechanical properties.
Effect of process parameters for selective laser melting with SUS316L on mechanical and microstructural properties with variation in chemical composition.
Process optimization and mechanical properties of oxide dispersion strengthened nickel-based superalloy by selective laser melting.Materials&Design,188 (2020),108418
Microstructure and mechanical properties of wire arc additively manufactured Hastelloy C276 alloy.Materials&Design,195(2020),109007

This method makes use of the QR decomposition linear algebra techniques and so on, and it updates the matrix square-root of the state covariance by the Cholesky factor updating.
The upper triangular part of, , is the transpose of the Cholesky factor of, i.e., ,such that.We use the shorthand notation qr{•} donate a QR decomposition of a matrix where only «± is returned[3].
Cholesky factor updating.
If S is the original Cholesky factor of , then the Cholesky factor of the is denoted as .
Conclusions In this paper the SR-CDKF control algorithm was introduced into the sensorless vector control of ship propulsion motor control system due to the CDKF algorithm is the optimal estimation method and the model of the propulsion motor in the process of actual operation can't be identical with the actual system, adopting PI speed controller system unavoidably affected by parameters change, but the SR-CDKF has better numerical properties and guarantees positive semi-definiteness of the underlying state covariance, it is not sensitive to external disturbance and parameter variation, it has very strong robustness.