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Online since: August 2021
Authors: Ramilya F. Tazieva, Anna N. Akhmetova, Svetlana S. Vinogradova
The more specific the data regarding the bullet operation conditions, the narrower the range of possible values, while no data leads to the necessity of including the widest possible range of inputs into calculations.
Based on the data obtained, the risk value was assessed.
Simulation Data Based on the probabilistic model, we developed a software environment intended for calculating the efficiency of the horizontal settler sacrificial protection and for calculating the risk of non-achieving the required protection level (Fig. 1).
Based on the data obtained, we constructed the sacrificial protection efficiency histogram shown in Fig. 3.
Rules for Determining and Methods for Calculating Statistical Characteristics from Sample Data.
Online since: October 2012
Authors: Hui Yuan, Feng Shan Wang, Hou Qing Lu
Bayesian theory was applied into the damage problems of military engineering, adapted to the uncertain, incomplete damage problem, but whose flaws and hidden information was difficult to show in the sample data [1].
Set the damage sample data of component units as , in which described the physical damage value of component unit, and then could be expressed as a set form, namely .
Set as the threshold of the damage measurement about any component unit of military engineering, and carry on the knowledge reduction about the component units in accordance with the compare from the damage sample to threshold, namely: (6) Here, denoted the improved entropy value of component unit, called "rough entropy", which derived the classification of component units from the damage sample data.
Thus, carry on the metamorphic power weight of component unit under the damage sample data, namely: , (7) Where, showed the weight parameters under this particular damage environment, whose set was erected as , namely .
From the model, simulation, evaluation point, the damage simulation and effect assessment system was designed for military engineering, which provided the sample data for the functional damage reason on the system level
Online since: December 2013
Authors: A.S. Sekhar, N. Harish Chandra
Hong et.al [4] used Lipchitz exponents for the detection of singularities in beam modal data.
Hoelder Exponent (or) Lipschitz Constant The Hoelder exponent (HE) is a mathematical tool that can provide degree of change in distributed data.
Daubachies wavelets were found extremely compatible with data.
Slope of Lipchitz equation v/s crack depth Conclusions Different damage cases are simulated and modal analysis data is processed by wavelet transforms.
The peaks corresponding to edges appeared in 3D-plots are clearly visible in case of strain mode data than displacement mode data.
Online since: February 2019
Authors: Jeong Whan Yoon, Ru Gang Chai, Yan Shan Lou
Introduction Lightweight metals are increasingly utilized in automobile and aerospace industries to satisfy the requirement of weight reduction, improvement in fuel efficiency, and the omission decrease of greenhouse gas.
All of these six fracture criteria were calibrated firstly, and then both of 2D and 3D fracture loci were constructed and compared with the experimental fracture data.
Experimental data of AA2024-T351 Bao and Wierzbicki [7] performed a series of tests on AA2024-T351, which covered a wide range of stress triaxiality from -0.3 to 0.9.
Comparison and Evaluation The accuracy of each fracture criterion discussed above is schematically assessed by comparing the constructed fracture loci to experimental data points as presented in Fig. 1.
The error between predicted EPSF and experimental data is calculated by using the least square method and compared in Table 2.
Online since: February 2013
Authors: Jongh Wan Kwon, Soon Hyun Hwang, Balho H. Kim
At the same time, efforts to improve the efficiency of energy usage and the reduction of energy consumption will be carried out.
Power expansion planning model outline 3.2 Input data and basic premise Information in 5th Power Expansion Planning was used for input data for analysis and 2015~2030 were target period to derive Power Expansion Planning.
Then, based on these data, energy supply cost was derived.
Detailed input data are as follows
- Review period : 2015~2030 (16years) - Discount Rate : 7.5% - Demand Data : Using the standard demand prospectivity of the 5th Power Expansion Planning (Demand after 2024 is estimated by applying 2.3% which is the average demand increasing rate) Data for each electric power source Fuel cost (won/kWh) O&M cost (won/kW) Construction cost (won/kW) Unit capacity (MW) avail-ability rate (%) LNG 64.4 - 784,000 700 - Oil 88.1 - 1,254,000 800 - Coal 23.0 - 1,134,000 1000 - Nuke 3.3 - 2,042,000 1400 - IGCC 33.8 44,708 2,905,539 300 - Wind 0 35,038 2,223,546 100 34 Solar 0 13,504 6,979,401 50 25 Scenario for analysis were composed with disposal/maintenance of nuclear-power plants and the proportion of renewable energy in the total power generation based on 2015.
Online since: April 2012
Authors: Yao Wang, Li Xia Sun, Jiu Chen Fan
The powerful graphic functions of OpenGL do not require the developer to write the data of three-dimensional model in fixed form, thus the developer not only can use his own data, but also can use other data sources of various form.
Otherwise, after scene rasterization, before entering frame buffer, the pixels data can be operated according to the specific needs.
The method is the Boolean reduction operation between the workpiece and enveloping solid formed by tool moving, and the three-dimensional model of workpiece is continuously renewed with the cutting process.
The different basic objects decide that the realized methods are different: Van Hook presented data structure method of depth voxel; Saito T and Takahashi T presented G_Buffer method; Nonaka S presented data structure method of octree; etc.
Online since: October 2008
Authors: An Zhou
Prestressing tendon hs hc 1000 300 1950 1950 1000 Synchronous jack Pressure sensor Fig.2 Composite beam detail Fig.3 Equipment set-up Table 1 Parameters of test specimens ch /mm sh /mm Prestressed bar/unit Shear Connection Factor Moment Condition ZHL1 90 170 0 1.17 positive ZHL2 130 170 0 1.17 positive ZHL3 130 260 0 1.02 negative ZHL4 130 260 3 1.02 negative ZHL5 130 260 5 1.02 negative ZHL6 130 260 5 1.02 negative 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL1 Load rate Deflection at midspan(mm) Experimental data Proposed method 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL2 Load rate Deflection at midspan(mm) Experimental data Proposed method (a)Test Specimen ZHL1 (b)Test Specimen ZHL2 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL3 Load rate Deflection at midspan(mm) Experimental data Proposed method China standard method 0 10 20 30 0.0 0.2 0.4 0.6
0.8 1.0 ZHL4 Load rate Deflection at midspan(mm) Experimental data Proposed method China standard method (c)Test Specimen ZHL3 (d)Test Specimen ZHL4 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL5 Load rate Deflection at midspan(mm) Experimental data Proposed method China standard method 0 10 20 30 0.0 0.2 0.4 0.6 0.8 1.0 ZHL6 Load rate Deflection at midspan(mm) Experimental data Proposed method China standard method (e)Test Specimen ZHL5 (f)Test Specimen ZHL6 Fig.4.
At normal working stage, the flexural stiffness of composite beams at positive moment region can be obtained as the flexural stiffness of conversion section multiplied by a reduction coefficient 0.95, to consider concrete nonlinear effects and interface slip factors.
Online since: October 2006
Authors: Vincenzo Iannotti, Carlo Luponio, E. Bernardi, A. Lascialfari, A. Rigamonti, L. Romanò, G. Ausanio
The experimental data were analysed in term of diamagnetic susceptibility � DIA, corresponding to the condition MDIA= � DIAH, for evanescent magnetic field.
The solid circles are the data from the isothermal magnetization curves while the full squares are from the isofield curves vs.
As it appears from Fig 3a, the theoretical curves derived in this way fit well the experimental data.
A good agreement with the data (Fig. 3b) is noted also for sample (1) up to H≈Hup.
For field larger than Hup departure of the experimental data from the theoretical curves (in the inset) occurs, probably due to experimental subtraction procedure (on increasing field the paramagnetic term increases while the diamagnetic term goes towards zero).
Online since: July 2015
Authors: Rafał Burdzik, Łukasz Konieczny, Piotr Folęga, Jakub Młynczak
Nowadays there are monitoring even more parameters with extreme environment sensors, integrating diagnostic and prognostic systems that turn data into explicit maintenance actions and monitoring into active management of system condition.
When machinery such as fans and motors run out of alignment, the resulting vibration leads to excessive wear and premature failure of parts and, ultimately, a resulting reduction in efficiency [9-11].
The vibration monitoring system acquires vibration data from an engine, and processes the data with advanced algorithms to determine engine component health.
Moreover a proper vibration analysis is possible when data are sufficiently reliable to use.
Thus the device used to collect data is important.
Online since: April 2016
Authors: Grzegorz Budzik, Jacek Bernaczek, Romana Ewa Śliwa
A diagram of force vs. absolute reduction ratio is shown in Fig.7.
Vickers hardness HV 0.1 Vickers hardness HV 0.5 1 433.2 402 2 408.5 402 3 385.0 412 4 365.6 401 5 384.1 400 6 385.8 416 7 419.6 406 8 397.2 419 9 384.1 406 10 390.0 413 Mean 395.3 407.7 Results obtained in the DMLS sample hardness test are consistent with data quoted by the manufacturer of the EOS Ti64 powder and do not deviate from generic data for Ti6Al4V alloy samples.
The deflection is recorded by a camera (data acquisition technology designed for the instrument) and processed by software algorithms which take account of the parameters of the optical arrangement of the system.
Following data acquisition and repair (i.e. making up for missing surfaces) in the acquired reference item image, the models were compared (the model image obtained by scanning was superimposed on the CAD model).
Material data listed by the manufacturer of the EOS Ti64 powder did not deviate from actual values reported in the course of the present study.
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