NDLI: Design of tensegrity structures using parametric analysis and stochastic search

Content Provider	Springer Nature Link
Author	Rhode Barbarigos, Landolf Jain, Himanshu Kripakaran, Prakash Smith, Ian F. C.
Copyright Year	2009
Abstract	Tensegrity structures are lightweight structures composed of cables in tension and struts in compression. Since tensegrity systems exhibit geometrically nonlinear behavior, finding optimal structural designs is difficult. This paper focuses on the use of stochastic search for the design of tensegrity systems. A pedestrian bridge made of square hollow-rope tensegrity ring modules is studied. Two design methods are compared in this paper. Both methods aim to find the minimal cost solution. The first method approximates current practice in design offices. More specifically, parametric analysis that is similar to a gradient-based optimization is used to identify good designs. Parametric studies are executed for each system parameter in order to identify its influence on response. The second method uses a stochastic search strategy called probabilistic global search Lausanne. Both methods provide feasible configurations that meet civil engineering criteria of safety and serviceability. Parametric studies also help in defining search parameters such as appropriate penalty costs to enforce constraints while optimizing using stochastic search. Traditional design methods are useful to gain an understanding of structural behavior. However, due to the many local minima in the solution space, stochastic search strategies find better solutions than parametric studies.
Starting Page	193
Ending Page	203
Page Count	11
File Format	PDF
ISSN	01770667
Journal	Engineering with Computers
Volume Number	26
Issue Number	2
e-ISSN	14355663
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-11-10
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Tensegrity Bridge Structural design Optimization Stochastic search ApplicationMathematics/Computational Methods of Engineering Mechanics Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Math. Applications in Chemistry Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Engineering Computer Science Applications Modeling and Simulation Software

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