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Journals / Turkish Journal of Engineering and Environmental Sciences / 2005 / Cilt: 29 - Sayı: 5

Fuzzy optimization of geometrical nonlinear space truss design

ÖMER KELEŞOĞLU
MEHMET ÜLKER
Pages
321–329
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Three design examples are presented to demonstrate the application of the algorithm.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper presents a general algorithm for nonlinear space truss system optimization with fuzzy constraints and fuzzy parameters.
📊
Key Findings & Data:The analysis of the space truss system is performed with the ANSYS program.
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Conclusion & Impact:Three design examples are presented to demonstrate the application of the algorithm.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This paper presents a general algorithm for nonlinear space truss system optimization with fuzzy constraints and fuzzy parameters. The analysis of the space truss system is performed with the ANSYS program. The algorithm of multiobjective fuzzy optimization techniques was formed with ANSYS parametric dimensional language. In the formulation of the design problem, weight and minimum displacement are considered the objective functions. Three design examples are presented to demonstrate the application of the algorithm.

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Cite This Article

KELEŞOĞLU, Ö., ÜLKER, M. (2005). Fuzzy optimization of geometrical nonlinear space truss design. Turkish Journal of Engineering and Environmental Sciences, Cilt: 29 - Sayı: 5, 321–329. https://ajindex.com/articles/369166

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References (1)

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