Advertisement

Structural and Multidisciplinary Optimization

, Volume 59, Issue 2, pp 335–350 | Cite as

Topographical design of stiffener layout for plates against blast loading using a modified ant colony optimization algorithm

  • Tangying Liu
  • Guangyong SunEmail author
  • Jianguang Fang
  • Jingtao Zhang
  • Qing Li
Research Paper
  • 231 Downloads

Abstract

The stiffened plates are of demonstrable advantages and potential in offering high resistance to such extreme loading scenarios as blast. Since the distribution of the stiffeners has considerable effect on their performance, its design signifies an important topic of research. However, existing research has mainly focused on empirical design, and the configurations were largely experience based, which limits structural explosion-proof capacity. In order to improve the performance of stiffened plates against blast loading, we introduced here two new structural configurations of stiffened plates. In this study, the modified ant colony optimization (MACO) algorithm which introduces the mass constraint factor to the pheromone update function and integrates the idea of crossover and mutation was used to design the subjected to given working conditions. Specifically, material distribution of stiffeners is taken to be the design variables, and minimization of the maximum deflection of the center point of the plate to be the design objective under predetermined mass constraints. Compared with the baseline structure, the optimal designs largely improved the explosion-proof performance through distributing stiffener topology on the plates. The results showed that the optimum designs all present the reinforcement stiffeners to link with the fixed boundaries against the deformation. Moreover, the optimum designs placed more reinforcement materials in the central regions instead of four angles, and with the increase of the mass fraction, the reinforcement placement gradually extends from the center to the edges. The proposed method and new topological configurations are expected to provide some insights into design for novel protective structures.

Keywords

Stiffened plates Modified ant colony optimization Explosion-proof performance Topography optimization Ant colony optimization 

Notes

Acknowledgements

This work is supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (51621004), National Natural Science Foundation of China (51575172, 51475155), and the Open Fund of the State Key Laboratory for Strength and Vibration of Mechanical Structures of Xi’an Jiaotong University (SV2017-KF-24). Dr. Guangyong Sun is a recipient of Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA) in the University of Sydney. Dr. Jianguang Fang is a recipient of University of Technology Sydney (UTS) Chancellor’s Postdoctoral Fellowship.

References

  1. Belytschko T, Lin JI, Chen-Shyh T (1984) Explicit algorithms for the nonlinear dynamics of shells. Comput Methods Appl Mech Eng 42:225–251.  https://doi.org/10.1016/0045-7825(84)90026-4 CrossRefzbMATHGoogle Scholar
  2. Chandra Mohan B, Baskaran R (2012) A survey: ant Colony optimization based recent research and implementation on several engineering domain. Expert Syst Appl 39:4618–4627.  https://doi.org/10.1016/j.eswa.2011.09.076 CrossRefGoogle Scholar
  3. Chen Z, Zhou S, Luo J (2017) A robust ant colony optimization for continuous functions. Expert Syst Appl 81:309–320.  https://doi.org/10.1016/j.eswa.2017.03.036 CrossRefGoogle Scholar
  4. Chung Kim Yuen S, Nurick GN (2005) Experimental and numerical studies on the response of quadrangular stiffened plates. Part I: subjected to uniform blast load. Int J Impact Eng 31:55–83.  https://doi.org/10.1016/j.ijimpeng.2003.09.048 CrossRefGoogle Scholar
  5. Demirel NÇ, Toksarı MD (2006) Optimization of the quadratic assignment problem using an ant colony algorithm. Appl Math Comput 183:427–435.  https://doi.org/10.1016/j.amc.2006.05.073 MathSciNetzbMATHGoogle Scholar
  6. Ding Q, Hu X, Sun L, Wang Y (2012) An improved ant colony optimization and its application to vehicle routing problem with time windows. Neurocomputing 98:101–107.  https://doi.org/10.1016/j.neucom.2011.09.040 CrossRefGoogle Scholar
  7. Dorigo M, Gambardella LM (1997) Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans Evol Comput 1:53–66.  https://doi.org/10.1109/4235.585892 CrossRefGoogle Scholar
  8. Fang J, Sun G, Qiu N, Kim NH, Li Q (2016) On design optimization for structural crashworthiness and its state of the art. Struct Multidiscip Optim 55:1091–1119.  https://doi.org/10.1007/s00158-016-1579-y MathSciNetCrossRefGoogle Scholar
  9. Fang J, Sun G, Qiu N, Steven GP, Li Q (2017) Topology optimization of multicell tubes under out-of-plane crushing using a modified artificial bee colony algorithm. J Mech Des 139:071403.  https://doi.org/10.1115/1.4036561 CrossRefGoogle Scholar
  10. Furqan A, Santosa SP, Putra AS, Widagdo D, Gunawan L, Arifurrahman F (2017) Blast impact analysis of stiffened and curved panel structures. Procedia Eng 173:487–494.  https://doi.org/10.1016/j.proeng.2016.12.070 CrossRefGoogle Scholar
  11. Goel MD, Matsagar VA, Gupta AK (2015) Blast resistance of stiffened sandwich panels with aluminum cenosphere syntactic foam. Int J Impact Eng 77:134–146.  https://doi.org/10.1016/j.ijimpeng.2014.11.017 CrossRefGoogle Scholar
  12. Goetz J, Tan H, Renaud J, Tovar A (2012) Two-material optimization of plate armour for blast mitigation using hybrid cellular automata. Eng Optim 44:985–1005.  https://doi.org/10.1080/0305215X.2011.624182 CrossRefGoogle Scholar
  13. Hani Y, Amodeo L, Yalaoui F, Chen H (2007) Ant colony optimization for solving an industrial layout problem. Eur J Oper Res 183:633–642.  https://doi.org/10.1016/j.ejor.2006.10.032 CrossRefzbMATHGoogle Scholar
  14. Hassanat A, Prasath V, Abbadi M, Abu-Qdari S, Faris H (2018) An improved genetic algorithm with a new initialization mechanism based on regression techniques. Information 9:167.  https://doi.org/10.3390/info9070167 CrossRefGoogle Scholar
  15. Kadid A (2008) Stiffened plates subjected to uniform blast loading. J Civ Eng Manag 14:155–161.  https://doi.org/10.3846/1392-3730.2008.14.11 CrossRefGoogle Scholar
  16. Kambouchev N, Noels L, Radovitzky R (2006) Nonlinear compressibility effects in fluid-structure interaction and their implications on the air-blast loading of structures. J Appl Phys 100:063519.  https://doi.org/10.1063/1.2349483 CrossRefGoogle Scholar
  17. Karagiozova D, Nurick GN, Langdon GS (2009) Behaviour of sandwich panels subject to intense air blasts—part 2: numerical simulation. Compos Struct 91:442–450.  https://doi.org/10.1016/j.compstruct.2009.04.010 CrossRefGoogle Scholar
  18. Kazimipour B, Li X, Qin AK (2014) A review of population initialization techniques for evolutionary algorithms. In: Evolutionary computation, pp 2585–2592Google Scholar
  19. Kumar KCN, Gupta G, Lakhera S, Shaikh A (2015) Structural optimization of composite stiffened panel of a transport aircraft wing using CAE tools. Mater Today Proc 2:2588–2594.  https://doi.org/10.1016/j.matpr.2015.07.213 CrossRefGoogle Scholar
  20. Langdon GS, Yuen SCK, Nurick GN (2005) Experimental and numerical studies on the response of quadrangular stiffened plates. Part II: localised blast loading. Int J Impact Eng 31:85–111.  https://doi.org/10.1016/j.ijimpeng.2003.09.050 CrossRefGoogle Scholar
  21. Li M, Qianting L, Meiqiong M, Sicong L (2016) Optimization and application of single-point crossover and multi-offspring genetic algorithm. Int J Hybrid Inf Technol 9:1–8.  https://doi.org/10.14257/ijhit.2016.9.1.01 Google Scholar
  22. Liao TW, Su P (2017) Parallel machine scheduling in fuzzy environment with hybrid ant colony optimization including a comparison of fuzzy number ranking methods in consideration of spread of fuzziness. Appl Soft Comput 56:65–81.  https://doi.org/10.1016/j.asoc.2017.03.004 CrossRefGoogle Scholar
  23. Liu H, Li B, Yang Z, Hong J (2017) Topology optimization of stiffened plate/shell structures based on adaptive morphogenesis algorithm. J Manuf Syst 43:375–384.  https://doi.org/10.1016/j.jmsy.2017.02.002 CrossRefGoogle Scholar
  24. Louca LA, Pan YG, Harding JE (1998) Response of stiffened and unstiffened plates subjected to blast loading. Eng Struct 20:1079–1086CrossRefGoogle Scholar
  25. Maniezzo V, Colorni A (1999) The ant system applied to the quadratic assignment problem. IEEE Trans Knowl Data Eng 11:769–778.  https://doi.org/10.1109/69.806935 CrossRefGoogle Scholar
  26. Meng X, Dong L, Li Y, Guo WW (2016a) A genetic algorithm using K-path initialization for community detection in complex networks. Clust Comput 20:311–320.  https://doi.org/10.1007/s10586-016-0698-y CrossRefGoogle Scholar
  27. Meng Y, Li B, Wang Y (2016b) Structure design of new airtight blast door based on topology and shape optimization method. Geotech Geol Eng 34:703–711.  https://doi.org/10.1007/s10706-016-9981-1 CrossRefGoogle Scholar
  28. Ning JG, Song WD, Wang C, Wang J (2006) Impact perforation of stiffened steel plates by rigid projectiles. Key Eng Mater 306-308:303–308.  https://doi.org/10.4028/www.scientific.net/KEM.306-308.303 CrossRefGoogle Scholar
  29. Nurick GN, Gelman ME, Marshall NS (1996) Tearing of blast loaded plates with clamped boundary conditions. Int J Impact Eng 18:803–827.  https://doi.org/10.1016/S0734-743X(96)00026-7 CrossRefGoogle Scholar
  30. Nurick GN, Langdon GS, Chi Y, Jacob N (2009) Behaviour of sandwich panels subjected to intense air blast—part 1: experiments. Compos Struct 91:433–441.  https://doi.org/10.1016/j.compstruct.2009.04.009 CrossRefGoogle Scholar
  31. Rudrapatna NS, Vaziri R, Olson MD (2000) Deformation and failure of blast-loaded stiffened plates. Int J Impact Eng 24:457–474.  https://doi.org/10.1016/S0734-743X(99)00172-4 CrossRefGoogle Scholar
  32. Sheyka MP, Altunc AB, Taha MMR (2012) Multi-objective genetic topological optimization for design of blast resistant composites. Appl Compos Mater 19:785–798.  https://doi.org/10.1007/s10443-011-9244-5 CrossRefGoogle Scholar
  33. Solimanpur M, Vrat P, Shankar R (2004) Ant colony optimization algorithm to the inter-cell layout problem in cellular manufacturing. Eur J Oper Res 157:592–606.  https://doi.org/10.1016/s0377-2217(03)00248-0 MathSciNetCrossRefzbMATHGoogle Scholar
  34. Sun G, Liu T, Fang J, Steven GP, Li Q (2017) Configurational optimization of multi-cell topologies for multiple oblique loads. Struct Multidiscip Optim 57:469–488.  https://doi.org/10.1007/s00158-017-1839-5 MathSciNetCrossRefGoogle Scholar
  35. Sun G, Liu T, Huang X, Zhen G, Li Q (2018) Topological configuration analysis and design for foam filled multi-cell tubes. Eng Struct 155:235–250.  https://doi.org/10.1016/j.engstruct.2017.10.063 CrossRefGoogle Scholar
  36. Ye K, Zhang C, Ning J, Liu X (2017) Ant-colony algorithm with a strengthened negative-feedback mechanism for constraint-satisfaction problems. Inf Sci 406-407:29–41.  https://doi.org/10.1016/j.ins.2017.04.016 CrossRefGoogle Scholar
  37. Zhang Y, Lu J (2007) A novel improved adaptive genetic algorithm for the solution to optimal assignment problem. Int J Syst Control 2: 253–261.Google Scholar
  38. Zheng C, Kong X-s, Wu W-g, Liu F (2016) The elastic-plastic dynamic response of stiffened plates under confined blast load. Int J Impact Eng 95:141–153.  https://doi.org/10.1016/j.ijimpeng.2016.05.008 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Tangying Liu
    • 1
  • Guangyong Sun
    • 1
    • 2
    Email author
  • Jianguang Fang
    • 3
  • Jingtao Zhang
    • 1
  • Qing Li
    • 2
  1. 1.State Key Laboratory of Advanced Design and Manufacture for Vehicle BodyHunan UniversityChangshaChina
  2. 2.School of Aerospace, Mechanical and Mechatronic EngineeringThe University of SydneySydneyAustralia
  3. 3.Centre for Built Infrastructure Research, School of Civil and Environmental EngineeringUniversity of Technology SydneySydneyAustralia

Personalised recommendations