Technical Papers
Feb 2, 2018

Structural Optimization of Spoke Single-Layer Cable-Net Structures Based on a Genetic Algorithm

Publication: Journal of Aerospace Engineering
Volume 31, Issue 3

Abstract

A structural optimization method for spoke single-layer cable-net structures based on an improved genetic algorithm (GA) is proposed. The three-cable coplanarity theory is introduced, and an exchange program between a proprietary programming language and an advanced finite-element software is presented to implement the improved GA. Then, a simplified numerical model of the Suzhou Industrial Park Stadium cable-net structure is built and optimized. The numerical example shows that the proposed structural optimization method is accurate and efficient. Because of the limited loading combinations, nodal vertical displacements, and tensile stresses of cables, the optimal z coordinates of support nodes and cable nodes and subsequently, the initial pretension and cross-sectional areas of cables, are obtained. When the z-coordinate distribution curve of the support nodes behaves smoothly, the material property of the cables will be fully utilized with a reduction in cable weight. For the optimal mode of the simplified model, the elevations of the support nodes provide the entire cable-net structure a saddle shape, which behaves rigidly under out-of-plane loads. The proposed method can be extended to solve optimization problems of similar cable-net structures.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors acknowledge the financial support of the National Natural Science Foundation of China (No. 11673039), the National Key Technology R&D Program of China (Grant No. 2012BAJ03B06), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

References

Angelova, M., Atanassov, K., and Pencheva, T. (2012). “Purposeful model parameters genesis in simple genetic algorithms.” Comput. Math. Appl., 64(3), 221–228.
ANSYS [Computer software]. ANSYS, Canonsburg, PA.
Dorea, C. C. Y., and Gonçalves, C. R. (1993). “Alternative sampling strategy for a random optimization algorithm.” J. Optim. Theory Appl., 78(2), 401–407.
Duan, B. Y., Qiu, Y. Y., Zhang, F. S., and Zi, B. (2009). “On design and experiment of the feed cable-suspended structure for super antenna.” Mechatronics, 19(4), 503–509.
Gen, M., and Cheng, R. (1996). “A survey of penalty techniques in genetic algorithms.” Proc., IEEE Int. Conf. Evolutionary Computation, IEEE, Nagoya, Japan, 804–809.
Happ, E., Johannsen, D., Klein, C., and Neumann, F. (2008). “Rigorous analyses of fitness-proportional selection for optimizing linear functions.” Proc., 10th Annual Conf. Genetic and Evolutionary Computation, ACM, New York, 953–960.
Holland, J. H. (1975). Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor, MI.
Huang, X., and Xie, Y. M. (2008). “Optimal design of periodic structures using evolutionary topology optimization.” Struct. Multidiscip. Optim., 36(6), 597–606.
Hummel, F. (2015). “Adjacent pairs exchange correction to the random phase approximation.” ArXiv preprint arXiv:1509.00161.
Jiang, D., Du, Y., Lin, J., and Wu, Z. (2010). “Multi-parent crossover algorithm with discrete recombination.” Proc., IEEE Int. Conf. Computational Intelligence and Software Engineering, IEEE, New York, 1–4.
Jin, X. (2011). “Principles and main points of recent revision of ‘load code for the design of building structures’.” J. Build. Struct., 32(12), 79–85 (in Chinese).
Kan, Y., and Ye, J. (2006). “Force finding of tensegrity cable domes—Imbalance force iterative method.” Chin. J. Appl. Mech., 23(2), 250–254 (in Chinese).
Kawamura, H., Ohmori, H., and Kito, N. (2002). “Truss topology optimization by a modified genetic algorithm.” Struct. Multidiscip. Optim., 23(6), 467–473.
Kim, H., and Adeli, H. (2001). “Discrete cost optimization of composite floors using a floating-point genetic algorithm.” Eng. Optimiz., 33(4), 485–501.
Lin, D., Li, X., and Wang, D. (2011). “Atavistic strategy for genetic algorithm.” Proc., ICSI Int. Conf. Advances in Swarm Intelligence, Springer, Berlin, 497–505.
Loh, C. H., Chan, C. K., Chen, S. F., and Huang, S. K. (2016). “Vibration-based damage assessment of steel structure using global and local response measurements.” Earthquake Eng. Struct. Dyn., 45(5), 699–718.
Luo, B., Guo, Z., Chen, X., Gao, F., and Wang, K. (2015). “Static equilibrium form-finding analysis of cable-strut based on nonlinear dynamic finite element method.” Adv. Steel Constr., 11(4), 452–468.
Madeira, J. F. A., Rodrigues, H., and Pina, H. (2005). “Multi-objective optimization of structures topology by genetic algorithms.” Adv. Eng. Software, 36(1), 21–28.
MATLAB [Computer software]. MathWorks, Natick, MA.
Motro, R., Najari, S., and Jouanna, P. (1987). “Static and dynamic analysis of tensegrity systems.” Proc., Int. Symp. Shell and Spatial Structures: Computational Aspects, Springer, Berlin, 270–279.
Roberge, V., Tarbouchi, M., and Labonte, G. (2013). “Comparison of parallel genetic algorithm and particle swarm optimization for real-time UAV path planning.” IEEE Trans. Ind. Inform., 9(1), 132–141.
Schek, H. J. (1974). “The force density method for form finding and computation of general networks.” Comput. Methods Appl. Mech. Eng., 3(1), 115–134.
Simões, A., and Costa, E. (1999). “Transposition: A biological-inspired mechanism to use with genetic algorithms.” Proc., Int. Conf. Neural Networks and Genetic Algorithms, Springer, Vienna, Austria, 178–186.
Sun, S. J., Zhao, J., and Chen, H. S. (2012). “Research on software reliability assessment with optimum reserved strategy genetic programming.” J. Convergence Inf. Technol., 7(23), 317–323.
Syswerda, G. (1989). “Uniform crossover in genetic algorithms.” Int. Conf. Genetic Algorithms, Morgan Kaufmann Publishers, San Mateo, 2–9.
Veenendaal, D., and Block, P. (2014). “Design process for prototype concrete shells using a hybrid cable-net and fabric formwork.” Eng. Struct., 75, 39–50.
Wang, Z., Li, T., and Deng, H. (2014). “Form-finding analysis and active shape adjustment of cable net reflectors with PZT actuators.” J. Aerosp. Eng., 575–586.
Xie, Y. M., and Steven, G. P. (1993). “A simple evolutionary procedure for structural optimization.” Comput. Struct., 49(5), 885–896.
Yang, G., Duan, B., Zhang, Y., and Yang, D. (2016). “Uniform-tension form-finding design for asymmetric cable-mesh deployable reflector antennas.” Adv. Mech. Eng., 8(10), 1687814016672367.
Yeniay, Ö. (2005). “Penalty function methods for constraint optimization with genetic algorithms.” Math. Comput. Appl., 10(1), 45–56.
Zhang, F. (2012). “Research on the method for force finding of prestressed cable net.” Appl. Mech. Mater., 204, 1282–1285.

Information & Authors

Information

Published In

Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 31Issue 3May 2018

History

Received: Apr 12, 2017
Accepted: Sep 28, 2017
Published online: Feb 2, 2018
Published in print: May 1, 2018
Discussion open until: Jul 2, 2018

Permissions

Request permissions for this article.

Authors

Affiliations

Professor, School of Civil Engineering, Southeast Univ., Nanjing 210096, China. E-mail: [email protected]
Ming-min Ding [email protected]
Lecturer, School of Civil Engineering, Nanjing Forestry Univ., Nanjing 210037, China (corresponding author). E-mail: [email protected]
Li-feng Han [email protected]
Civil Engineer, Cob Development (Suzhou) Co. Ltd., No. 9 Cuiwei St., Suzhou 215123, China. E-mail: [email protected]
Zheng-xing Guo [email protected]
Professor, School of Civil Engineering, Southeast Univ., Nanjing 210096, China. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share