Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Wei Haoyang"'
In emergencies, the ability to quickly and accurately gather environmental data and command information, and to make timely decisions, is particularly critical. Traditional semantic communication frameworks, primarily based on a single modality, are
Externí odkaz:
http://arxiv.org/abs/2408.05455
NVM is used as a new hierarchy in the storage system, due to its intermediate speed and capacity between DRAM, and its byte granularity. However, consistency problems emerge when we attempt to put DRAM, NVM, and disk together as an efficient whole. I
Externí odkaz:
http://arxiv.org/abs/2408.04238
Towards a compatible utilization of NVM, NVM-specialized kernel file systems and NVM-based disk file system accelerators have been proposed. However, these studies only focus on one or several characteristics of NVM, while failing to exploit its best
Externí odkaz:
http://arxiv.org/abs/2408.02911
Autor:
Wei Haoyang, Chen Jie, Carrion Patricio, Imanian Anahita, Shamsaei Nima, Iyyer Nagaraja, Liu Yongming
Publikováno v:
MATEC Web of Conferences, Vol 300, p 12005 (2019)
In this paper, a multiaxial fatigue life prediction model is proposed under general multiaxial random loadings. First, a brief review for existing multiaxial fatigue models is given and special focus is on the LiuMahadevan critical plane concept, whi
Externí odkaz:
https://doaj.org/article/0ab0f07b3935472e868d05632f148c7b
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Autor:
Chen, Gehao, Liu, Siwei, Wei, Xiangqian, Wei, Haoyang, Zhou, Xinyi, Chen, Xianhui, Zhang, Xinghua, Ma, Longlong
Publikováno v:
In Energy 30 October 2024 307
Energy-based time derivative damage accumulation model under uniaxial and multiaxial random loadings
A new fatigue life prediction method using the energy-based approach under uniaxial and multiaxial random loadings is proposed in this paper. One unique characteristic of the proposed method is that it uses time-derivative damage accumulation model c
Externí odkaz:
http://arxiv.org/abs/2106.02128
Publikováno v:
In Fuel 15 March 2024 360
Fracture pattern prediction with random microstructure using a physics-informed deep neural networks
Publikováno v:
In Engineering Fracture Mechanics 1 June 2022 268
Autor:
Wei, Xiangqian, Li, Wenzhi, Liu, Qiying, Sun, Weitao, Liu, Siwei, Li, Song, Wei, Haoyang, Ma, Longlong
Publikováno v:
In Chemical Engineering Journal 1 January 2022 427