Zobrazeno 1 - 10
of 375
pro vyhledávání: '"Jiang Hongxiang"'
Publikováno v:
Frattura ed Integrità Strutturale, Vol 8, Iss 27, Pp 43-52 (2014)
In order to predict the PCF (Peak Cutting Force) of conical pick in rock cutting process, a theoretical model is established based on elastic fracture mechanics theory. The vertical fracture model of rock cutting fragment is also established based on
Externí odkaz:
https://doaj.org/article/05f633a989e943b981c88e6766ee9a8d
In advanced paradigms of autonomous driving, learning Bird's Eye View (BEV) representation from surrounding views is crucial for multi-task framework. However, existing methods based on depth estimation or camera-driven attention are not stable to ob
Externí odkaz:
http://arxiv.org/abs/2210.17252
Publikováno v:
Shock and Vibration, Vol 2014 (2014)
To investigate the rock fragmentation and its influence factors under the impact load of water jet, a numerical method which coupled finite element method (FEM) with smoothed particle hydrodynamics (SPH) was adopted to simulate the rock fragmentation
Externí odkaz:
https://doaj.org/article/64d164d6952d4d3da6583f7cc850b0ef
Publikováno v:
In Journal of Materials Research and Technology November-December 2024 33:28-38
Autor:
Chen, Bin, Wang, Fuzhu, Ren, Shiming, Xia, Peng, Wang, Zhipeng, Hao, Jianfei, Chen, Zhiping, Li, Runxia, Jiang, Hongxiang
Publikováno v:
In Journal of Rare Earths October 2024 42(10):1988-1994
Publikováno v:
In Journal of Affective Disorders 1 January 2025 368:191-199
Publikováno v:
Frattura ed Integrità Strutturale, Vol 8, Iss 27 (2013)
In order to predict the PCF (Peak Cutting Force) of conical pick in rock cutting process, a theoretical model is established based on elastic fracture mechanics theory. The vertical fracture model of rock cutting fragment is also established based on
Externí odkaz:
https://doaj.org/article/1618a3d1c6544f538c73087ae62e98bb
Disentanglement learning aims to construct independent and interpretable latent variables in which generative models are a popular strategy. InfoGAN is a classic method via maximizing Mutual Information (MI) to obtain interpretable latent variables m
Externí odkaz:
http://arxiv.org/abs/2110.00788
Publikováno v:
In International Journal of Rock Mechanics and Mining Sciences August 2024 180
Publikováno v:
In Powder Technology 1 April 2024 438