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Engineering with Computers
Erschienen in: Engineering with Computers 1/2017

09.08.2016 | Original Article

A novel method for prediction of truss geometry from topology optimization

verfasst von: A. Mandhyan, Gaurav Srivastava, S. Krishnamoorthi

Erschienen in: Engineering with Computers | Ausgabe 1/2017

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Abstract

An important task in designing a truss structure is to determine the initial configuration of the truss. In the absence of an efficient optimization technique, the selection of initial geometry is based on a trial and error procedure or standard truss configurations or past experiences. In this work, a fully automated algorithm is proposed which can be used to predict initial truss geometry from the grayscale images obtained from topology optimization of design domain. It predicts the locations of joints and the connectivity of members. It also estimates the approximate cross-sectional areas of the members. The interpreted truss geometry can be modified or directly used for structural analysis and design. Numerical examples are presented to demonstrate the functioning of the algorithm under various scenarios. The developed algorithm has been implemented as part of a web-based truss design application, previously developed by the same authors.
Vorheriger Artikel Engineering optimization based on ideal gas molecular movement algorithm
Nächster Artikel Application of direct meshless local Petrov–Galerkin (DMLPG) method for some Turing-type models

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Literatur
1.
Sigmund O, Petersson J (1998) Numerical instabilities in topology optimization: a survey on procedures dealing with checkerboards, mesh-dependencies and local minima. Struct Optim 16:68–75CrossRef
2.
Kumar A, Gossard D (1996) Synthesis of optimal shape and topology of structures. J Mech Des 118:68–74CrossRef
3.
Hsu Y-L, Hsu M-S, Chen C-T (2001) Interpreting results from topology optimization using density contours. Comput Struct 79:1049–1058CrossRef
4.
Youn S-K, Park S-H (1997) A study on the shape extraction process in the structural topology optimization using homogenized material. Comput Struct 62:527–538MathSciNetCrossRefMATH
5.
6.
Hsu M-H, Hsu Y-L (2005) Interpreting three-dimensional structural topology optimization results. Comput Struct 83:327–337CrossRef
7.
Hultman M (2010) Weight optimization of steel trusses by a genetic algorithm. Lund University, Department of Structural Engineering
8.
Eurocode 3: design of steel structures: part 1–5: plated structural elements, BSI, London, 2010. Incorporating corrigendum April 2009
9.
Baldock R, Shea K (2006) Structural topology optimization of braced steel frameworks using genetic programming. In: Intelligent Computing in Engineering and Architecture. Springer, pp 54–61
10.
ANSI B (2005) AISC 360-05-specification for structural steel buildings. Chicago AISC
11.
Kutylowski R, Rasiak B (2009) Local buckling design problem for topology optimized truss girders. PAMM 9:567–568CrossRef
12.
Barr B (2006) Current and future trends in bridge design. Construction and maintenance. Thomas Telford Ltd, London
13.
Zakhama R, Abdalla M, Gürdal Z, Smaoui H (2007) Wind load effect in topology optimization problems. J Phys Conf Ser 75:012048CrossRef
14.
Svanberg K (1987) The method of moving asymptotes-a new method for structural optimization. Int J Numer Methods Eng 24:359–373MathSciNetCrossRefMATH
15.
Liang QQ, Xie YM, Steven GP (2000) Optimal topology design of bracing systems for multistory steel frames. J Struct Eng 126:823–829CrossRef
16.
Kingman JJ, Tsavdaridis KD, Toropov J (2014) Applications of topology optimization in structural engineering. Jordan J Sci Technol
17.
Sokół T (2011) A 99 line code for discretized michell truss optimization written in mathematica. Struct Multidiscip Optim 43:181–190CrossRefMATH
18.
Gilbert M, Tyas A (2003) Layout optimization of large scale pin-jointed frames. Eng Comput 20:1044–1064CrossRefMATH
19.
Martinez P, Marti P, Querin O (2007) Growth method for size, topology, and geometry optimization of truss structures. Struct Multidiscip Optim 33:13–26CrossRef
20.
BIS (2007) IS 800:2007 General construction in steel: Code of practice
21.
Mandhyan A, Srivastava G, Krishnamoorthi S (2014) Web application for size and topology optimization of trusses and gusset plates. In: International Workshop on Computational Micromechanics of Materials, Madrid, Spain
22.
Sigmund O (2001) A 99 line topology optimization code written in matlab. Struct Multidiscip Optim 21:120–127CrossRef
23.
Enterprises Scilab (2012) Scilab: Free and Open Source software for numerical computation. Scilab Enterprises, Orsay
24.
Oppenheim AV, Schafer RW, Buck JR (1989) Discrete-time signal processing, vol 2. Prentice-hall, Englewood CliffsMATH
25.
Zerva A, Zervas V (2002) Spatial variation of seismic ground motions: an overview. Appl Mech Rev 55:271–297CrossRef
26.
Hemp WS (1973) Optimum structures. Clarendon Press, Oxford
Metadaten
Titel
A novel method for prediction of truss geometry from topology optimization
verfasst von
A. Mandhyan
Gaurav Srivastava
S. Krishnamoorthi
Publikationsdatum
09.08.2016
Verlag
Springer London
Erschienen in
Engineering with Computers / Ausgabe 1/2017
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-016-0474-x

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