2014
DOI: 10.1007/s00158-014-1178-8
|View full text |Cite
|
Sign up to set email alerts
|

Local continuum shape sensitivity with spatial gradient reconstruction for nonlinear analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
7
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
3
3
1

Relationship

2
5

Authors

Journals

citations
Cited by 12 publications
(7 citation statements)
references
References 16 publications
0
7
0
Order By: Relevance
“…Spatial gradient reconstruction (SGR) was demonstrated as a means to improve CSA accuracy in a controllable and nonintrusive manner. Three journal articles [1][2][3] were published and four others [4][5][6][7] submitted for publication documenting the funded research. Seven conference papers were presented during the performance period [8][9][10][11][12][13][14].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Spatial gradient reconstruction (SGR) was demonstrated as a means to improve CSA accuracy in a controllable and nonintrusive manner. Three journal articles [1][2][3] were published and four others [4][5][6][7] submitted for publication documenting the funded research. Seven conference papers were presented during the performance period [8][9][10][11][12][13][14].…”
Section: Discussionmentioning
confidence: 99%
“…• This research marks the first application of local CSA for linear [3] and nonlinear analysis [4] of structural models using plate elements. It is the first demonstration of implementing local AFOSR GRANT #FA9550-11-1-0117…”
Section: Accomplishmentsmentioning
confidence: 98%
“…2. The theoretical background and technical approach for SGR-based shape BV-CSA, documented in detail in references [10][11][12][13][14][15], is summarized next. Sample input data and their bulk data descriptions are shown in figures of the Appendix.…”
Section: Technical Approachmentioning
confidence: 99%
“…CSA has been developed to compute derivatives for optimization of structural response [9][10][11] and fluid response [12][13][14]. It has been also employed for calculating aeroelastic response sensitivity with respect to shape variations for both linear and nonlinear structural analysis [15,16]. CSA involves solving linear sensitivity equations with the corresponding sensitivity boundary conditions.…”
Section: Introductionmentioning
confidence: 99%