Structural Optimization Design Considering Reliability Constraints

Li Rong Sha; Yong Chun Shi

doi:10.4028/www.scientific.net/AMM.477-478.723

Paper Titles

Analysis of the Impact Effect of the Suspender System in a Half-Through Concrete Filled Steel Tubular Arch Bridge
p.705

The Ultimate Bearing Capacity Analysis of RC Beams Strengthened by Externally Bonded and Anchored I-Section Steel
p.710

Analysis on Fire-Resistance Performance of Slabs Strengthened by Carbon Fiber Sheet Bonded with Inorganic Adhesive
p.714

Numerical Analysis for Geometry Nonlinear Characters of Laminated Box Beam Columns
p.718

Structural Optimization Design Considering Reliability Constraints
p.723

Comfortable Evaluation of Bridge-Station Combined Large Span High Speed Railway Station under High Speed Train Load
p.727

Modal Parameters Identification of Civil Engineering Structures Based on the Random Decrement Technique
p.732

Structural Modal Parameter Identification Based on ARMA Model
p.736

Flexural Behavior of CFRP Strengthened Reinforced Concrete Beams
p.740

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 477-478Structural Optimization Design Considering...

Structural Optimization Design Considering Reliability Constraints

Abstract:

In engineering applications the uncertainties of the structural parameters are inherent and the scatter from their nominal ideal values is in most cases unavoidable. These uncertainties play a dominant role in structural performance and the reliability-based design optimization is a useful method to assess the uncertainty influence. Compared to the basic deterministic-based optimization problem, the latter considers additional non-deterministic constraint functions and will provide the structure more safety. This paper proposed a Fourier orthogonal neural network method to the structural reliability analysis and reliability-based optimization considering uncertainties, the main aim is to minimize the weight of the structure under certain reliability constraints, and to obtain economic benefit meanwhile ensure the safety of the structure.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 477-478)

Pages:

723-726

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.477-478.723

Citation:

Cite this paper

Online since:

December 2013

Authors:

Li Rong Sha*, Yong Chun Shi

Keywords:

Artificial Neural Network (ANN), Fourier Orthogonal Function, Optimization Design, Reliability

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] H. W. Leheta and A. E. Mansour: Reliability-based Method for Optimal Structural Design of Stiffened Panels, Marine Structures 10 (1997), pp.323-352.

DOI: 10.1016/s0951-8339(96)00026-3

Google Scholar

[2] M.A. Valdebenito and G.I. Schuëller: Design of maintenance schedules for fatigue-prone metallic components using reliability-based optimization Computer Methods in Applied Mechanics and Engineering 199 (2010), p.2305–2318.

DOI: 10.1016/j.cma.2010.03.028

Google Scholar

[3] R. Courant and D. Hilbert: Methods of Mathematical Physics. New York: Interscience Publishers, (1955).

Google Scholar

[4] I. Kaymaz and K. Marti: Reliability-based design optimization for elastoplastic mechanical structures. Computers and Structures 85 ( 2007), p.615–25.

DOI: 10.1016/j.compstruc.2006.08.076

Google Scholar