Search results

Raju, Stress-intensity factor equations for cracks in three-dimensional finite bodies subjected to tension and bending loads, Computation Methods in the Mechanics of Fracture, Elsevier Science Publishers B.V., 1986, pp. 311-334
Newman, Jr., A virtual crack-closure technique for calculating stress intensity factors for cracked three dimensional bodies, International Journal of Fracture 36 (1988)
Shah, Stress intensity factors for through and part-through cracks originating at fastener holes, Mechanics of Crack Growth, ASTM STP-590, American Society for Testing and Materials, 1976, pp. 429-459

Rethinking the Design of Embedded Control Circuit for 4 DOF Bilateral Arm Prosthesis Hana Amin Khan1,x,a, Urooj Fatima2,y,b 1Department of Mechanical Engineering 2Department of Mechatronics Engineering x,yCollege of Electrical & Mechanical Engineering National University of Sciences and Technology H-12 Islamabad, Pakistan ahana.amin.khan@gmail.com, burooj_fatima31@hotmail.com Keywords: Arm prosthesis, Embedded control, Myoelectric, prosthetic, 4 DOF, EMG, analogue circuit, amputee, upper limb, two DOF Abstract.
[9] Erik Scheme, MSc, PEng; Kevin Englehart, Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use, Journal of Rehabilitation Research and Development (JRRD), Volume: 48, (2011) 643-660
[12] Jothi Lakshmi D, Illakiya G and Rajkamal R, A Novel Approach and Design of Embedded Controlled Prosthetic Upper Limb to Assist the Above Elbow Amputees, Advanced Materials Research Vols. 403-408, (2012) 2039–2045

International Roughness Index Prediction for Rigid Pavements: An Artificial Neural Network Application Ragaa Abd El-Hakim 1,a, Sherif El-Badawy 2, b 1Assistant professor, Faculty of Engineering, Delta University for Science and Technology, Gamasa, Egypt. 2Assistant professor, Public Works Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35116, Egypt.
MEPDG IRI Predictive Model for JPCP The MEPDG model for predicting IRI of JPCP pavements is shown in Eq. 3 [6]: IRI = IRII + 0.013*TC + 0.007*SPALL+ 0.005*PATCH + 0.0015*TFAUL + 0.45*SF (3) Where, IRII = initial smoothness measured as IRI, m/km; TC = percentage of slabs with transverse cracking (all severities); SPALL = percentage of joints with spalling (all severities); PATCH = pavement surface area with flexible and rigid patching (all severities), percent; TFAULT = total joint faulting cumulated per km, mm; and SF = site factor (Eq. 4) SF= Age*(1+FI)*(1+P200)/1000000 (4) Where, Age = pavement age in years; FI = freezing index, oC days; and P200 = percent subgrade material passing the 0.075-mm sieve.
In Transportation Research Record, Journal of the Transportation Research Board, No. 2127, Washington, DC, 2009, pp 173-183
Artificial Neural Network Models Incorporating Unbound Material nonlinearity for Rapid Prediction of critical Pavement Responses and Layer Moduli, 2006

The assessment system scope Green buiding technology suitability assessment is available for assessing a green building technology whether it can effect the green building to save energy, save water, save land, save materials, protect environment, and reduce pollution in the whole life cycle.
Improvement of fuzzy comprehensive evaluation method, Journal of Chongqing University(Natural Science Edition) Vol06, Chinese [6] Bryson N.Group decision-making and analytic hierarchy process;exploring the consensus relevant information content.Computers Ops.

Journal of Fuxin Mining Institute, 1990, 8, 1 (9)
Meter materials, 1983,14 (3): 50-58
Shanxi science and technology, 2010, 25 (4) 99-100

With the development of technology and the application of relevant new materials, the voltage of transmission line and the height of the transmission tower is becoming increasingly higher, which means the tower is easier to be affected by the lightning overvoltage and the spread of the wave in the tower is more complicated.
Wu Han: Huazhong University of Science and Technology, 2012
Journal of Xi’an Jiaotong University, 2004, 38(4):365-368

Van de Ven, Fluid Power System Dynamics, Department of Mechanical Engineering, Center for Compact and Efficient Fluid Power A National Science Foundation Engineering Research Center, University of Minnesota, Minneapolis, U.S.A. (2015)
Balan, Hydraulic Installations for Heavy Machine-Tools, Journal of Engineering Studies and Research Volume 18, No. 2, pp. 116-120 (2012)
Motomancea, Modeling and Simulation of Closed-Loop Counterbalancing Hydraulic Units for Heavy-Duty Machine-Tools, Applied Mechanics and Materials Vol. 332 pp 417-422© (2013)

It means system object, its subsystems and external environment between the exchange of material, energy and information.
Input and output plugins of platform are mainly responsible for engine platform and external data information and exchange of energy, which can make the image, material is qualitative, the sound, the configuration file and user input into the engine platform incentive files within dealt with, and also can make users want information in some form output to the specified path.
This kind of design thought guaranteed the latest algorithm can rapidly embedding and updates, and based on this kind of sharing mechanism, the developer ourselves on the engine platform version update at the same time, calculate algorithm library can also compatible automatic upgrade, to ensure the simulation engine platform in key technologies on forever follow frontier science and technology.
[4] YueYongHui, WangLiLi, HaoAiMin etc. a scalable graphics engine system structure of system simulation , journal of system simulation , Vol. 18, supplement 1, 2006, pp. 3613 ~ 3617

In monitoring, when the temperature change was , the center wavelength change of fiber grating caused by temperature change was: (2) In formula: - thermal expansion coefficient of fiber, usually value was - thermo-optic coefficient of fiber materials, usually value was If, for the specific wavelength,, and was the temperature sensitivity of fiber, also was the wavelength shift corresponding to unit temperature changes, and could be calculated with different wavelengths when used.
Journal of Jiangxi Normal University(Natural Science), 2008, 32(1): 58-61（In Chinese） [4] B.

Material and methods Material.
Acknowledgements This work was financially supported by Fujian Natural Science Fund, study on the key influencing factors of denitrifying phosphorus-removing of low carbon source sewage based on the oxidation ditch process (2010J0127).
Journal of Bioscience and Bioengineering, 1999, 87(3): 378-382