Paper Titles
Propagating and Reconstructing Cracks in 3D in Cement-Based Materials
p.1441
Comparison of Monte Carlo Simulation and Response Surface Method by Using ANSYS PDS
p.1449
Effectiveness of Amino Alcohol-Based Corrosion Inhibitor and its Influence on Concrete Properties
p.1454
Reliability Analysis of Offshore Structures with Consideration of Seasonal and Directional Effects
p.1459
Research for Computing the Structure Reliability Index
p.1464
The Research on Computation of Researchers Certainty Factor of Bridge's Durability Evaluation Based on the Indeterminate AHP
p.1469
Simulation on Composition and Mechanical Properties of Concrete
p.1473
Analysis of Concrete Corrosion and Damage Mechanism under the Actions of Multiple Salts and Dry-Wet Cycles
p.1477
Application of SAP2000 API and .NET Framework for Reliability Assessment of RC Structures
p.1482

Research for Computing the Structure Reliability Index

Article Preview

Abstract:

The paper discusses general theoretical and practical aspects of the emerging probabilistic and non-probabilistic approaches for uncertainty treatment in finite element analysis. Based on rough set theory, a new methodology for structural reliability computation is presented. The uncertain parameters of structures are expressed by rough variables. The structure reliability index is computed by rough function and metric. It is valid, and efficient in physics and geometry. Examples of practical application are given.

You might also be interested in these eBooks
Advances in Civil Structures IV View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 578-579)

Pages:

1464-1468

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.578-579.1464

Citation:

Cite this paper

Online since:

July 2014

Authors:

Jia Zhao*, Chang Hua Li

Keywords:

Rough Function, Rough Set Theory (RST), Rough Variables, Structure Reliability Index

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] Lin PL, Kiureghian AD, Optimization algorithms for structural reliability[J]. Structural Safety, 1991. 120(9); 161-177.

DOI: 10.1016/0167-4730(91)90041-7

Google Scholar

[2] Qiu ZP, Mueller PC, Frommer A. The new non-probabilistic criterion of failure for dynamical systems based on convex models. Math Comput Model2004; 40: 201-15.

Google Scholar

[3] D. Moens, D. Vandepitte, Recent advances in non-probabilistic approaches for non-deterministic dynamic finite element analysis, Arch. Comput. Meth. Engrg. 13 (2006) 389-464.

DOI: 10.1007/bf02736398

Google Scholar

[4] B. Moller, M. Beer, Engineering computation under uncertainty-capabilities of non-traditional models, Comput. Struct. 86 (2007) 1024-1041.

DOI: 10.1016/j.compstruc.2007.05.041

Google Scholar

[5] Z. Pawlak. Rough sets. rough function and rough calculus. In: Rough-Fuzzy Hybridization: A New Trend in Decision-Making S.K. Pal.A. Skowron. eds. ). singapore: SPringer-Verlag. (1999): 99-109.

DOI: 10.1007/978-94-011-3534-4_8

Google Scholar

[6] J. Ruokolainen, Constructive Nonstandard Analysis Without Actual Infinity. Porthania: Helsinki, (2004).

Google Scholar

[7] J. Mycielski, Analysis without actual infinity. Journal of Symbolic Logic, 46(1981): 625-33.

DOI: 10.2307/2273760

Google Scholar

[8] R. Chuaqui, P. suppes. Free-variable axiomatic foundations of infinitesimal analysis: a Fragment with finitary consistency proof. Joumal of Symbolic Logic, 60(l995): 122-159.

DOI: 10.2307/2275512

Google Scholar

[9] B. KuiPers. Qualitative simulation. Artificial Intelligence, (29)1986: 289-338.

Google Scholar

[10] H. Werthner. Qualitative Reasoning-Modeling and the Generation of Behavior. Singapore: SPringer-Verlag, (1994).

Google Scholar

[11] D.G. Li, X.E. Chen. Improvement of definitions of one-element rough funetion and binary rough function and investigation of their mathematical analysis properties. Journal of Shanxi University, 23(4)(2000): 318-321. (inChinese).

Google Scholar