Search Results - "Chen, Bingguang"

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  1. 1

    Flexural Toughness Test and Inversion Research on a Thermal Conductivity Formula on Steel Fiber-Reinforced Concrete Components Post-Fire by Li, Huayun, Chen, Bingguang, Zhu, Kaicheng, Gong, Xiaolin

    Published in Materials (22-07-2022)
    “…Steel fibers are widely used because they can effectively improve the tensile, compressive and flexural properties of concrete structures. The selection of…”
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    Journal Article
  2. 2

    Mechanical Properties of GFRP Bolts and Its Application in Tunnel Face Reinforcement by Li, Huayun, Fu, Junfu, Chen, Bingguang, Zhang, Xin, Zhang, Zhiqiang, Lang, Lin

    Published in Materials (09-03-2023)
    “…As a new type of pre-reinforcement material for tunnel faces, glass fiber-reinforced polymer (GFRP) bolts can effectively and safely improve the stability of…”
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    Journal Article
  3. 3
  4. 4

    Moderate deviation principle for the two-dimensional stochastic Navier-Stokes equations with anisotropic viscosity by Chen, Bingguang

    “…In this paper, we prove a central limit theorem and establish a moderate deviation principle for the two-dimensional stochastic Navier-Stokes equations with…”
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    Journal Article
  5. 5

    Formulation and implementation of elastoplastic constitutive model for carbonaceous slate by Li, Huayun, Zhu, Kaicheng, Chen, Yelei, Chen, Bingguang, Zeng, Bowen, Zhang, Zhiqiang

    “…Carbonaceous slate is a typical transversely isotropic material. A reasonable constitutive material model is essential for the accurate prediction of…”
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    Journal Article
  6. 6

    Ventral and dorsal visual pathways exhibit abnormalities of static and dynamic connectivities, respectively, in patients with schizophrenia by Deng, Yanjia, Liu, Kai, Cheng, Dongliang, Zhang, Jingyu, Chen, Hui, Chen, Bingguang, Li, Yingjia, Wang, Wensheng, Kong, Youyong, Wen, Ge

    Published in Schizophrenia research (01-04-2019)
    “…Previous studies suggest that schizophrenia-related visual perceptual abnormalities are primarily attributed to deficits of the dorsal rather than ventral…”
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    Journal Article
  7. 7
  8. 8

    Moderate deviation principle for the two-dimensional stochastic Navier-Stokes equations with anisotropic viscosity by Chen, Bingguang

    Published 07-04-2021
    “…In this paper, we prove a central limit theorem and establish a moderate deviation principle for the the two-dimensional stochastic Navier-Stokes equations…”
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    Journal Article
  9. 9

    Large deviation principle for the two-dimensional stochastic Navier-Stokes equations with anisotropic viscosity by Chen, Bingguang, Zhu, Xiangchan

    Published 29-05-2020
    “…In this paper we establish the large deviation principle for the the two-dimensional stochastic Navier-Stokes equations with anisotropic viscosity both for…”
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    Journal Article
  10. 10

    On the small time asymptotics of the dynamical $\Phi^4_1$ model by Chen, Bingguang, Zhu, Xiangchan

    Published 08-10-2019
    “…In this paper, we establish a small time large deviation principle (small time asymptotics) for the dynamical $\Phi^4_1$ model, which not only involves study…”
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    Journal Article
  11. 11

    A fault diagnosis system of mine main ventilator by WANG Haoyu, CHEN Ying, MIAO Yanzi, CHEN Bingguang

    “…A fault diagnosis model was built by use of neural network trained by extreme learning machine. A fault diagnosis system of mine main ventilator based on the…”
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    Journal Article
  12. 12

    Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations by Zhang, Rui, Hu, Peiyan, Meng, Qi, Wang, Yue, Zhu, Rongchan, Chen, Bingguang, Ma, Zhi-Ming, Liu, Tie-Yan

    Published 20-06-2022
    “…Navier-Stokes equations are significant partial differential equations that describe the motion of fluids such as liquids and air. Due to the importance of…”
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    Journal Article
  13. 13

    Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs by Hu, Peiyan, Meng, Qi, Chen, Bingguang, Gong, Shiqi, Wang, Yue, Chen, Wei, Zhu, Rongchan, Ma, Zhi-Ming, Liu, Tie-Yan

    Published 13-04-2022
    “…Stochastic partial differential equations (SPDEs) are significant tools for modeling dynamics in many areas including atmospheric sciences and physics. Neural…”
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    Journal Article