EconPapers    
Economics at your fingertips  
 

Structural Reliability Analysis with Inverse Credibility Distributions

Palash Dutta ()
Additional contact information
Palash Dutta: Department of Mathematics, Dibrugarh University, Dibrugarh 786004, India

New Mathematics and Natural Computation (NMNC), 2019, vol. 15, issue 01, 47-63

Abstract: In structural reliability analysis, parameters of reliability analysis models are more often vague/imprecise or many times intuitively illustrated through linguistic expressions, so the conformist evaluation techniques cannot efficiently lever the vagueness and ambiguity exist in reliability parameters which fetch the problem of huge computationally complex and meagre accuracy. Keeping all these deficiencies in mind, this present paper proposes a novel structural reliability analysis technique through inverse credibility distributions with the intention to obtain the precision and efficiency of structural reliability. Finally, some structural reliability analysis problems are solved in this setting.

Keywords: Aleatory uncertainty; epistemic uncertainty; fuzzy numbers; structural reliability; credibility distribution (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S1793005719500030
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:nmncxx:v:15:y:2019:i:01:n:s1793005719500030

Ordering information: This journal article can be ordered from

DOI: 10.1142/S1793005719500030

Access Statistics for this article

New Mathematics and Natural Computation (NMNC) is currently edited by Paul P Wang

More articles in New Mathematics and Natural Computation (NMNC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:nmncxx:v:15:y:2019:i:01:n:s1793005719500030