Optimal design of rail grinding patterns based on a rail grinding target profile

Based on the grinding target profile of the rail and the grinding capacity of a single grinding stone, a numerical calculation method for rail grinding patterns that includes grinding angle and grinding power of each grinding stone of the GMC96 rail grinding train was designed and established. By means of this numerical method, the grinding pattern of each grinding pass was optimized and the rail head profile after grinding was calculated. Furthermore, a method for the evaluation of the grinding quality is provided. The results indicate that in multipass rail grinding, a sequence of grinding passes – where the greatest grinding effort is applied on the earlier passes, with the last pass applying reducing levels of grinding effort – produces the highest conformance to the target grinding profile. For example, when rail grinding is planned for two passes, applying 60% of the total grinding effort on the first pass and 40% on the second pass decreases the final grinding error by 7.3%.

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Numerical calculation method for estimaiton of vertical circulating flow and density current in two-layer model.

PROCEEDINGS OF COASTAL ENGINEERING JSCE ◽

10.2208/proce1989.36.204 ◽

1989 ◽

Vol 36 ◽

pp. 204-208 ◽

Cited By ~ 6

Author(s):

KAZUO MURAKAMI

Keyword(s):

Numerical Calculation ◽

Calculation Method ◽

Density Current ◽

Layer Model ◽

Two Layer Model ◽

Numerical Calculation Method

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Determination Method of Elasto-Plastic Correction Factor of TA16 Titanium Alloy Based On RCC-M Code Methodology

Journal of Pressure Vessel Technology ◽

10.1115/1.4049708 ◽

2021 ◽

Author(s):

Xuejiao Shao ◽

Juan Du ◽

Liping Zhang ◽

Hai Xie ◽

Jun Tian ◽

...

Keyword(s):

Stainless Steel ◽

Titanium Alloy ◽

Numerical Calculation ◽

Austenitic Stainless Steel ◽

Constitutive Model ◽

Correlation Coefficient ◽

Correction Factor ◽

Calculation Method ◽

Plastic Correction ◽

Numerical Calculation Method

Abstract In the code for nuclear equipment, the elasto-plastic correction factor KE is a correction factor when the stress range exceeds the yield limit for simplified elasto-plastic fatigue analysis. The parameters and expressions of KE for commonly used materials (such as austenitic stainless steel) are given in the RCC-M and ASME code, but the parameters of KE for titanium alloy materials is lacking. Based on the cyclic elasto-plastic constitutive model of Z2CND18.12 (nitrogen control) and KE parameters of austenitic stainless steel given in the code, considering various sensitive factors, a numerical calculation method for determining KE correlation coefficient is established. The elasto-plastic constitutive model of TA16 alloy with nonlinear kinematic hardening was established by the uniaxial tension, strain and stress cycling tests of TA16 titanium alloy. Based on the numerical calculation method of KE and the constitutive model of TA16 titanium alloy, the expression and correlation coefficient of KE for TA16 titanium alloy were determined.

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Precise grading of surrounding rock based on the numerical calculation of the jointed rock mass

Proceedings of the Institution of Civil Engineers - Geotechnical Engineering ◽

10.1680/jgeen.21.00155 ◽

2022 ◽

pp. 1-32

Author(s):

Dan Huang ◽

Xiao-Qing Li ◽

Wen-Chao Song

Keyword(s):

Rock Mass ◽

Numerical Calculation ◽

Calculation Method ◽

Jointed Rock ◽

Jointed Rock Mass ◽

Surrounding Rock ◽

Geological Survey ◽

Survey Method ◽

Synthetic Rock ◽

Numerical Calculation Method

In this study, grading of surrounding rock was based on rock mass basic quality (BQ) values according to the specifications in China. Numerical approach was to construct synthetic rock mass (SRM) model to represent the jointed rock mass, and obtain the strength of the rock mass. It represented intact rock by the bonded particle model (BPM), and represent joint behaviour by the smooth joint model (SJM) to construct the discrete fracture network (DFN). In the Hongtuzhang Tunnel, the micro properties of granite cores with different weathered degrees were determined by the validation process, and the calculation representative elementary volume (REV) of surrounding rock was 15 m×15 m. Five slightly weathered, three slightly to moderately weathered, and two moderately weathered granite surrounding rock mass models were established based on the probability distribution of joint sets in each borehole, the conversion BQ value was acquired according by the calculated strength of rock mass model. It was discussed the differences of surrounding rock grades between the geological survey method and the numerical calculation method, and then found that the geological survey report is higher than the numerical calculation method predicted. And the numerical calculation is consistent with the actual excavation of rock mass at borehole A1388.

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