上海交大研究生院主页平台管理系统 Hai Wang--Home-- Fan HT, Wang H*. Predicting the open-hole tensile strength of composite plates based on probabilistic neural network. Applied Composite Materials, 2014; 21(6):827-840. (JCR2019: Q2; I.F. = 2.199)

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Fan HT, Wang H*. Predicting the open-hole tensile strength of composite plates based on probabilistic neural network. Applied Composite Materials, 2014; 21(6):827-840. (JCR2019: Q2; I.F. = 2.199)

Date of Publication:2014-02-01 Hits:

Discipline:工学
First-Level Discipline:Aeronautical and Astronautical Science and Technology
Translation or Not:no
Date of Publication:2014-02-01
Included Journals:SCI
Indexed by:期刊论文

Attachments:

26-Predicting the open-hole tensile strength of composite plates based on probabilistic neural network.pdf

Pre One:Liang Y, Wang H*, Soutis C, Lowe T, Cernik R. Progressive damage in satin weave carbon/epoxy composites under quasi-static punch-shear loading. Polymer Testing, 2015; 41:82-91. (JCR2019: Q1; I.F. = 3.275)

Next One:Wu Xu, Hai Wang*, Xueren Wu, Xiaojing Zhang, Guojuan Bai, Xianglong Huang. A novel method for residual strength prediction for sheets with multiple site damage: Methodology and experimental validation. International Journal of Solids and Structures, 2014; 51(3-4): 551-565. (JCR2019: Q1; I.F. = 3.213)

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Fan HT, Wang H*. Predicting the open-hole tensile strength of composite plates based on probabilistic neural network. Applied Composite Materials, 2014; 21(6):827-840. (JCR2019: Q2; I.F. = 2.199)

26-Predicting the open-hole tensile strength of composite plates based on probabilistic neural network.pdf