Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data

CHAKRAVERTY, S. ;BEHERA, Diptiranjan .
Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 60, n.5, p. 331-338, june 2018. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/parameter-identification-of-multistorey-frame-structure-from-uncertain-dynamic-data/>. Date accessed: 19 nov. 2024. 
doi:http://dx.doi.org/10.5545/sv-jme.2014.1832.

Chakraverty, S., & Behera, D.
(2014).
Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data.
Strojniški vestnik - Journal of Mechanical Engineering, 60(5), 331-338.
doi:http://dx.doi.org/10.5545/sv-jme.2014.1832

@article{sv-jmesv-jme.2014.1832,
	author = {S.  Chakraverty and Diptiranjan  Behera},
	title = {Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {60},
	number = {5},
	year = {2014},
	keywords = {stiffness matrix, mass matrix, Taylor series expansion, triangular fuzzy number, natural frequency},
	abstract = {This paper investigates the identification procedure of the column stiffness of multistorey frame structures by using the prior (known) uncertain parameters and dynamic data. Uncertainties are modelled through triangular convex normalized fuzzy sets. Bounds of the identified uncertain stiffness are obtained by using a proposed fuzzy based iteration algorithm with Taylor series expansion. Example problems are solved to demonstrate the reliability and efficiency of the identification process.},
	issn = {0039-2480},	pages = {331-338},	doi = {10.5545/sv-jme.2014.1832},
	url = {https://www.sv-jme.eu/article/parameter-identification-of-multistorey-frame-structure-from-uncertain-dynamic-data/}
}

Chakraverty, S.,Behera, D.
2014 June 60. Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 60:5

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%A Behera, Diptiranjan 
%D 2014
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%B 2014
%9 stiffness matrix, mass matrix, Taylor series expansion, triangular fuzzy number, natural frequency
%! Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data
%K stiffness matrix, mass matrix, Taylor series expansion, triangular fuzzy number, natural frequency
%X This paper investigates the identification procedure of the column stiffness of multistorey frame structures by using the prior (known) uncertain parameters and dynamic data. Uncertainties are modelled through triangular convex normalized fuzzy sets. Bounds of the identified uncertain stiffness are obtained by using a proposed fuzzy based iteration algorithm with Taylor series expansion. Example problems are solved to demonstrate the reliability and efficiency of the identification process.
%U https://www.sv-jme.eu/article/parameter-identification-of-multistorey-frame-structure-from-uncertain-dynamic-data/
%0 Journal Article
%R 10.5545/sv-jme.2014.1832
%& 331
%P 8
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 60
%N 5
%@ 0039-2480
%8 2018-06-28
%7 2018-06-28

Chakraverty, S., & Diptiranjan  Behera.
"Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data." Strojniški vestnik - Journal of Mechanical Engineering [Online], 60.5 (2014): 331-338. Web.  19 Nov. 2024

TY  - JOUR
AU  - Chakraverty, S. 
AU  - Behera, Diptiranjan 
PY  - 2014
TI  - Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2014.1832
KW  - stiffness matrix, mass matrix, Taylor series expansion, triangular fuzzy number, natural frequency
N2  - This paper investigates the identification procedure of the column stiffness of multistorey frame structures by using the prior (known) uncertain parameters and dynamic data. Uncertainties are modelled through triangular convex normalized fuzzy sets. Bounds of the identified uncertain stiffness are obtained by using a proposed fuzzy based iteration algorithm with Taylor series expansion. Example problems are solved to demonstrate the reliability and efficiency of the identification process.
UR  - https://www.sv-jme.eu/article/parameter-identification-of-multistorey-frame-structure-from-uncertain-dynamic-data/

@article{{sv-jme}{sv-jme.2014.1832},
	author = {Chakraverty, S., Behera, D.},
	title = {Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {60},
	number = {5},
	year = {2014},
	doi = {10.5545/sv-jme.2014.1832},
	url = {https://www.sv-jme.eu/article/parameter-identification-of-multistorey-frame-structure-from-uncertain-dynamic-data/}
}

TY  - JOUR
AU  - Chakraverty, S. 
AU  - Behera, Diptiranjan 
PY  - 2018/06/28
TI  - Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 60, No 5 (2014): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2014.1832
KW  - stiffness matrix, mass matrix, Taylor series expansion, triangular fuzzy number, natural frequency
N2  - This paper investigates the identification procedure of the column stiffness of multistorey frame structures by using the prior (known) uncertain parameters and dynamic data. Uncertainties are modelled through triangular convex normalized fuzzy sets. Bounds of the identified uncertain stiffness are obtained by using a proposed fuzzy based iteration algorithm with Taylor series expansion. Example problems are solved to demonstrate the reliability and efficiency of the identification process.
UR  - https://www.sv-jme.eu/article/parameter-identification-of-multistorey-frame-structure-from-uncertain-dynamic-data/

Chakraverty, S., AND Behera, Diptiranjan.
"Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 60 Number 5 (28 June 2018)