Skip to main content
SpringerLink
Log in

Numerical Optimization of a Composite Sandwich Panel with a Novel Bi-directional Corrugated Core Using an Animal-Inspired Optimization Algorithm

  • Conference paper
  • First Online:
Advances on Mechanics, Design Engineering and Manufacturing IV (JCM 2022)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

  • 1879 Accesses

Abstract

Composite sandwich panels with honeycomb, corrugated, tetrahedral, trapezoidal, 3D periodic and hybrid lattice cores have long been studied for their use in various industrial fields. In this study, several numerical analyses were conducted in ANSYS APDL environment in order to analyze the effect of a novel bi-directional corrugated core configuration on the flexural performance of a CFRP sandwich panel. In particular, the sandwich core is obtained by repeating a regular unit cell in two different directions to form a three-dimensional lattice structure. In order to determine the optimal values of the geometrical parameters of the core unit cell and to evaluate how the layout of the composite laminate could affect the mechanical performances of the structure, a numerical study was conducted by using the Group Search Optimizer (GSO) algorithm, a metaheuristic animal-inspired optimization algorithm used to solve various real-world problems. The obtained results show that the GSO algorithm is very effective to optimize the main geometrical parameters of the composite sandwich panel with the novel bi-directional corrugated core. More generally, the implemented procedure provides an open framework to solve complex optimization problems that are very difficult to solve using exact methods, making the GSO algorithm particularly attractive for many industrial applications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Rejab, M.R.M., Cantwell, W.: The mechanical behaviour of corrugated-core sandwich panels. Compos. Part B: Eng. 47, 267–277 (2013)

    Article  Google Scholar 

  2. Yang, J.-S., Liu, Z.-D., Schmidt, R., Schröder, K.-U., Ma, L., Wu, L.-Z.: Vibration-based damage diagnosis of composite sandwich panels with bi-directional corrugated lattice cores. Compos. Part A: Appl. Sci. Manuf. 131, article number 105781 (2020)

    Google Scholar 

  3. Marannano, G., Mariotti, G.V.: Structural optimization and experimental analysis of composite material panels for naval use. Meccanica 43(2), 251–262 (2008)

    Article  Google Scholar 

  4. Marannano, G., Parrinello, F., Giallanza, A.: Effects of the indentation process on fatigue life of drilled specimens: optimization of the distance between adjacent holes. J. Mech. Sci. Technol. 30(3), 1119–1127 (2016)

    Article  Google Scholar 

  5. Ingrassia, T., Nalbone, L., Nigrelli, V., Pisciotta, D., Ricotta, V.: Influence of the metaphysis positioning in a new reverse shoulder prosthesis. In: Eynard, B., Nigrelli, V., Oliveri, S., Peris-Fajarnes, G., Rizzuti, S. (eds.) Advances on Mechanics, Design Engineering and Manufacturing . Lecture Notes in Mechanical Engineering, pp. 469–478. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-45781-9_47

  6. Marannano, G., Pasta, A., Parrinello, F., Giallanza, A.: Effect of the indentation process on fatigue life of drilled specimens. J. Mech. Sci. Technol. 29(7), 2847–2856 (2015)

    Article  Google Scholar 

  7. Giallanza, A., Marannano, G., Pasta, A.: Structural optimization of innovative rudder for HSC. In: NAV International Conference on Ship and Shipping Research (2012)

    Google Scholar 

  8. Martí, R., Pardalos, P.M., Resende, M.G.C.: Handbook of Heuristics. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-07124-4

  9. Lindfield, G., Penny, J.: Introduction to Nature-Inspired Optimization. Academic Press Elsevier, Cambridge (2017)

    Google Scholar 

  10. Kirkpatrick, S., Gelatt Jr., C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)

    Google Scholar 

  11. Grossberg, S.: Nonlinear neural networks: principles, mechanisms, and architectures. Neural Netw. 1(1), 17–61 (1988)

    Article  Google Scholar 

  12. Holland, J.H.: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. University of Michigan Press, Ann Arbor (1975)

    Google Scholar 

  13. Shi, Y., Eberhart, R.C.: Parameter selection in particle swarm optimization. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds.) EP 1998. LNCS, vol. 1447, pp. 591–600. Springer, Berlin, Heidelberg (1998). https://doi.org/10.1007/BFb0040810

  14. Dorigo, M., Birattari, M., Stützle, T.: Ant colony optimization. IEEE Comput. Intell. Mag. 1(4), 28–39 (2006)

    Article  Google Scholar 

  15. Biswas, A., Dasgupta, S., Das, S., Abraham, A.: Synergy of PSO and bacterial foraging optimization—a comparative study on numerical benchmarks. In: Corchado, E., Corchado, J.M., Abraham, A. (eds.) Innovations in Hybrid Intelligent Systems. Advances in Soft Computing, vol. 44, pp. 255–263. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74972-1_34

  16. Bhandari, A.K., Singh, V.K., Kumar, A., Singh, G.K.: Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy. Expert Syst. Appl. 41(7), 3538–3560 (2014)

    Article  Google Scholar 

  17. Gandomi, A.H., Yang, X.S., Alavi, A.H., Talatahari, S.: Bat algorithm for constrained optimization tasks. Neural Comput. Appl. 22(6), 1239–1255 (2013)

    Article  Google Scholar 

  18. La Scalia, G., Micale, R., Giallanza, A., Marannano, G.: Firefly algorithm based upon slicing structure encoding for unequal facility layout problem. Int. J. Ind. Eng. Comput. 10, 349–360 (2019)

    Google Scholar 

  19. Micale, R., Marannano, G., Giallanza, A., Miglietta, P.P., Agnusdei, G.P., La Scalia, G.: Sustainable vehicle routing based on firefly algorithm and TOPSIS methodology. Sustain. Futures 1, 100001 (2019)

    Article  Google Scholar 

  20. Marannano, G., Ricotta, V.: Firefly algorithm for structural optimization using ANSYS. In: Rizzi, C., Campana, F., Bici, M., Gherardini, F., Ingrassia, T., Cicconi, P. (eds.) ADM 2021. Lecture Notes in Mechanical Engineering, pp. 593–604. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-91234-5_59

  21. He, S., Wu, Q.H., Saunders, J.R.: A novel group search optimizer inspired by animal behavioural ecology. In: 2006 IEEE Congress on Evolutionary Computation, CEC 2006, Vancouver (2006)

    Google Scholar 

  22. Li, L.-J., Xu, X.-T., Liu, F., Wu, Q.H.: The group search optimizer and its application to truss structure design. Adv. Struct. Eng. 13(1), 43–51 (2010)

    Article  Google Scholar 

  23. Technical data sheet of CYCOM® 5320-1 Prepreg (2020). https://www.solvay.com

  24. Ricotta, V., Campbell, R., Ingrassia, T., Nigrelli, V.: Additively manufactured textiles and parametric modelling by generative algorithms in orthopaedic applications. Rapid Prototyp. J. 26(5), 827–834 (2020)

    Article  Google Scholar 

  25. Ingrassia, T., Mancuso, A.: Virtual prototyping of a new intramedullary nail for tibial fractures. Int. J. Interact. Des. Manuf. 7(3), 159–169 (2013)

    Article  Google Scholar 

  26. Mirulla, A.I., Bragonzoni, L., Zaffagnini, S., Bontempi, M., Nigrelli, V., Ingrassia, T.: Virtual simulation of an osseointegrated trans-humeral prosthesis: a falling scenario. Injury 49(4), 784–791 (2018)

    Article  Google Scholar 

  27. Cerniglia, D., Ingrassia, T., D’Acquisto, L., Saporito, M., Tumino, D.: Contact between the components of a knee prosthesis: numerical and experimental study. Frattura ed Integrita Strutturale 22, 56–68 (2012)

    Article  Google Scholar 

  28. Cappello, F., Ingrassia, T., Mancuso, A., Nigrelli, V.: Methodical redesign of a semitrailer. WIT Trans. Built Environ. 80, 359–369 (2005)

    Google Scholar 

  29. Barbero E.J.: Finite Element Analysis of Composite Materials Using ANSYS®, 2nd edn. CRC Press, Boca Raton (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Engineering Department, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy

    Giuseppe Marannano, Tommaso Ingrassia, Vito Ricotta & Vincenzo Nigrelli

Authors
  1. Giuseppe Marannano
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tommaso Ingrassia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vito Ricotta
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Vincenzo Nigrelli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Giuseppe Marannano .

Editor information

Editors and Affiliations

  1. Department of Engineering, University of Campania "Luigi Vanvitelli'', Aversa, Italy

    Salvatore Gerbino

  2. Department of Industrial Engineering, University of Naples FedericoII, Naples, Italy

    Antonio Lanzotti

  3. Department of Industrial Engineering, University of Naples Federico II, Naples, Italy

    Massimo Martorelli

  4. Ingeniería de Diseño y Fabricación, Universidad de Zaragoza, Zaragoza, Zaragoza, Spain

    Ramón Mirálbes Buil

  5. Univesity of Bergamo, Dalmine, Bergamo, Italy

    Caterina Rizzi

  6. Arts et Métiers Institute, Aix En Provence Cedex 1, France

    Lionel Roucoules

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Marannano, G., Ingrassia, T., Ricotta, V., Nigrelli, V. (2023). Numerical Optimization of a Composite Sandwich Panel with a Novel Bi-directional Corrugated Core Using an Animal-Inspired Optimization Algorithm. In: Gerbino, S., Lanzotti, A., Martorelli, M., Mirálbes Buil, R., Rizzi, C., Roucoules, L. (eds) Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-15928-2_56

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-15928-2_56

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15927-5

  • Online ISBN: 978-3-031-15928-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation