×
验证码:
换一张
Forgotten Password?
Stay signed in
China Science and Technology Network Pass Registration
×
China Science and Technology Network Pass Registration
Log In
Chinese
|
English
中国科学院力学研究所机构知识库
Knowledge Management System of Institue of Mechanics, CAS
Log In
Register
ALL
ORCID
Title
Creator
Thesis Advisor
Keyword
Document Type
Source Publication
Publisher
Date Issued
Date Accessioned
Indexed By
Funding Project
DOI
Study Hall
Image search
Paste the image URL
Home
Collections
Authors
DocType
Subjects
K-Map
News
Search in the results
Collection
微重力重点实验室 [1]
State Key ... [1]
State Key ... [1]
Creator
Li, Qiang [1]
Sun, ShouG... [1]
Yuan, Zhen... [1]
吴传嘉 [1]
段俊亦 [1]
陈贤佳 [1]
More...
Document Type
Thesis [2]
Journal ar... [1]
Date Issued
2023 [3]
Language
中文 [2]
英语 [1]
Source Publication
SCIENCE CH... [1]
Indexed By
CSCD [1]
EI [1]
SCI [1]
Funding Project
Basic Scie... [1]
National K... [1]
National K... [1]
Science Ch... [1]
Strategic ... [1]
Funding Organization
Basic Scie... [1]
National K... [1]
Science Ch... [1]
Strategic ... [1]
Thesis Advisor
刘洪伟 [1]
李新亮 [1]
王双峰 [1]
×
Knowledge Map
IMECH-IR
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
QQ
Weibo
Feedback
Browse/Search Results:
1-3 of 3
Help
Filters
Date Issued：2023
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Journal Impact Factor Ascending
Journal Impact Factor Descending
Submit date Ascending
Submit date Descending
Title Ascending
Title Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Issue Date Ascending
Issue Date Descending
Author Ascending
Author Descending
超声速激波/湍流边界层干扰机理的直接数值模拟研究
学位论文
博士论文，北京: 中国科学院大学, 2023
Authors:
段俊亦
Adobe PDF(85007Kb)
|
Favorite
|
View/Download：148/14
|
Submit date：2023/06/25
激波/湍流边界层干扰
直接数值模拟
平均摩擦阻力分解
尺度分解
构型和尺度对固体材料可燃特性影响研究
学位论文
博士论文，北京: 中国科学院大学, 2023
Authors:
吴传嘉
Adobe PDF(6680Kb)
|
Favorite
|
View/Download：171/3
|
Submit date：2023/06/28
固体材料，燃烧，材料构型，材料尺度，可燃性
A computational method for the load spectra of large-scale structures with a data-driven learning algorithm
期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 卷号: 66, 期号: 1, 页码: 141-154
Authors:
Chen XJ(陈贤佳)
;
Yuan, Zheng
;
Li, Qiang
;
Sun, ShouGuang
;
Wei YJ(魏宇杰)
Adobe PDF(2512Kb)
|
Favorite
|
View/Download：300/89
|
Submit date：2023/02/09
load spectrum
computational mechanics
deep learning
data-driven modeling
gated recurrent unit neural network
