Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Leijiang Yao"'
Publikováno v:
AIP Advances, Vol 14, Iss 8, Pp 085023-085023-11 (2024)
Acoustic emission (AE) is a non-destructive testing technique, and establishing correlations between AE signals and material damage modes is one of its primary challenges. However, it is difficult to identify damage modes in ceramic matrix composites
Externí odkaz:
https://doaj.org/article/5acc899c52574f68a2f10f24966d8ea2
Publikováno v:
AIP Advances, Vol 13, Iss 12, Pp 125019-125019-9 (2023)
This paper presents a method to generative design bionic bone structures wing ribs by simulating the formation process of soap bubble boundary. In this method, the position of the central control point is optimized by the genetic algorithm to simulat
Externí odkaz:
https://doaj.org/article/aa01d1dddf654d34931dff691e76b545
Publikováno v:
AIP Advances, Vol 13, Iss 10, Pp 105317-105317-10 (2023)
The compression test of self-healing SiC/SiC was carried out, and acoustic emission (AE) signals were simultaneously collected. Using the AE signal pattern recognition and the sentry function based on AE, the mechanical property and damage evolution
Externí odkaz:
https://doaj.org/article/8d3168363393498a8c54c069a30a475f
Publikováno v:
AIP Advances, Vol 13, Iss 9, Pp 095314-095314-13 (2023)
In this paper, a biomimetic topology optimization design method that simulates the growth pattern of leaf veins is proposed for the design of the support structure of ultra-light airfoil-like solar cells in the solar powered unmanned aerial vehicle.
Externí odkaz:
https://doaj.org/article/77cac348bdad4cbab8ecbf9f54b5746d
Publikováno v:
Journal of Asian Ceramic Societies, Vol 9, Iss 3, Pp 1354-1363 (2021)
Compression tests of stitched 2D-C/SiC at room temperature were implemented and monitored by acoustic emission (AE). The t-Distributed Stochastic Neighbor Embedding(t-SNE) and the ward-link hierarchical clustering (WLHC) algorithm were used to perfor
Externí odkaz:
https://doaj.org/article/3f116e02b3f448129850584b77794a04
Publikováno v:
Data Science Journal, Vol 14 (2015)
An analysis architecture is built to make full use of natural environment corrosion of materials data. All environmental factors, such as average temperature, average relative humidity, rainfall hours, sunshine duration, chloride ion settlement, etc.
Externí odkaz:
https://doaj.org/article/7139769ecf304a2a98f903713bc1f484
Publikováno v:
Ceramics International. 48:64-73
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::300fbbbbd76da64b5513a665dbf660ac
https://doi.org/10.1016/j.ceramint.2021.09.081
https://doi.org/10.1016/j.ceramint.2021.09.081
Publikováno v:
International Journal of Machine Learning and Computing. 11:317-322
In the field of materials science, the mesoscopic geometry of materials is of great significance for the research and development of materials and materials. This paper mainly focuses on the image data of existing ceramic matrix composites, and studi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa5c6afc91222cc1f05bcefb161efb9e
https://doi.org/10.18178/ijmlc.2021.11.4.1054
https://doi.org/10.18178/ijmlc.2021.11.4.1054
Publikováno v:
International Journal of Machine Learning and Computing. 11:224-229
With the rapid development of machine learning, it is possible to use neural networks to build models to predict performance of Ceramic Matrix Composites (CMCs) with raw materials and environments. In the traditional material science engineering, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25310d8d0463e4a76ef22df8a1bf7c60
https://doi.org/10.18178/ijmlc.2021.11.3.1039
https://doi.org/10.18178/ijmlc.2021.11.3.1039
Publikováno v:
Springer Proceedings in Physics ISBN: 9789811598364
C/SiC ceramic matrix composites are excellent high temperature resistant materials being light, with high strength and good toughness. It is necessary to understand the evolution of its characteristics before application. In this work, an acoustic em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67e163c210f61030d6fe75c63203d6b8
https://doi.org/10.1007/978-981-15-9837-1_21
https://doi.org/10.1007/978-981-15-9837-1_21
