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probability-integral method 1

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Research on the Impact of Mining in Steep Seam on Ground Struc ture

Gao Mingzhong,Wang Lieping

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 142-146

Abstract:

According to the complex geologic condition of deep excavat ion in Huainan, probability-integral method is ewployed to study the for surface displacement due to coal extraction by optimization mining layouts.  Correlation parameters about subsidence under thick loose overburden and duplication mining are obtained. The results obtained may provide guidance for the subsidence-administrating. It is valuable of this paper to other coal mines which have similar geological and mining conditions.

Keywords： steep seam     surface movement and deformation     probability-integral method     predictions    

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Predictions of Additive Manufacturing Process Parameters and Molten Pool Dimensions with a Physics-Informed Article

Mingzhi Zhao, Huiliang Wei, Yiming Mao, Changdong Zhang, Tingting Liu, Wenhe Liao

Engineering 2023, Volume 23, Issue 4,   Pages 181-195 doi: 10.1016/j.eng.2022.09.015

Abstract: characteristics have a significant effect on printing quality in laser powder bed fusion (PBF), and quantitative predictionsThus far, bidirectional predictions of printing parameters and molten pool dimensions have been challengingmolten pool characteristics, a mechanistic model, and deep learning to achieve both forward and inverse predictionsThe results show that bidirectional predictions of the molten pool dimensions and process parametersThe research results demonstrate that bidirectional predictions of complex correlations using MLP are

Keywords： Additive manufacturing     Molten pool     Model     Deep learning     Learnability    

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Title Author Date Type Operation

Research on the Impact of Mining in Steep Seam on Ground Struc ture

Gao Mingzhong,Wang Lieping

Journal Article

Predictions of Additive Manufacturing Process Parameters and Molten Pool Dimensions with a Physics-Informed

Mingzhi Zhao, Huiliang Wei, Yiming Mao, Changdong Zhang, Tingting Liu, Wenhe Liao

Journal Article