301
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Crashworthiness design of 3D lattice-structure filled thin-walled tubes based on data mining

, , , , , ORCID Icon & show all
Pages 435-448 | Received 21 Oct 2021, Accepted 10 Jul 2022, Published online: 26 Jul 2022

References

  • Sun G, Xu F, Li G, et al. Crashing analysis and multiobjective optimization for thin-walled structures with functionally graded thickness. Int J Impact Eng. 2014;64:62–74.
  • Baroutaji A, Sajjia M, Olabi A-G. On the crashworthiness performance of thin-walled energy absorbers: recent advances and future developments. Thin-Walled Struct. 2017;118:137–163.
  • Zhang L, Bai Z, Bai F. Crashworthiness design for bio-inspired multi-cell tubes with quadrilateral, hexagonal and octagonal sections. Thin-Walled Struct. 2018;122:42–51.
  • Jiang B, Tan W, Bu X, et al. Numerical, theoretical, and experimental studies on the energy absorption of the thin-walled structures with bio-inspired constituent element. Int J Mech Sci. 2019;164:105173.
  • Bai Z, Sun K, Zhu F, et al. Crashworthiness optimal design of a new extruded octagonal multi-cell tube under dynamic axial impact. IJVS. 2018;10(1):40–57.
  • Bai Z, Liu J, Zhu F, et al. Optimal design of a crashworthy octagonal thin-walled sandwich tube under oblique loading. Int J Crashworthiness. 2015;20(4):401–411.
  • Liu Z, Hao W, Xie J, et al. Axial-impact buckling modes and energy absorption properties of thin-walled corrugated tubes with sinusoidal patterns. Thin-Walled Struct. 2015;94:410–423.
  • Wu S, Li G, Sun G, et al. Crashworthiness analysis and optimization of sinusoidal corrugation tube. Thin-Walled Struct. 2016;105:121–134.
  • Hao W, Xie J, Wang F, et al. Analytical model of thin-walled corrugated tubes with sinusoidal patterns under axial impacting. Int J Mech Sci. 2017;128–129:1–16.
  • Hao W, Xie J, Wang F. Theoretical prediction of the progressive buckling and energy absorption of the sinusoidal corrugated tube subjected to axial crushing. Comput Struct. 2017;191:12–21.
  • Ha NS, Lu G, Xiang X. High energy absorption efficiency of thin-walled conical corrugation tubes mimicking coconut tree configuration. Int J Mech Sci. 2018;148:409–421.
  • Sun G, Li G, Hou S, et al. Crashworthiness design for functionally graded foam-filled thin-walled structures. Mater Sci Eng: A. 2010;527(7–8):1911–1919.
  • Fang J, Gao Y, Sun G, et al. Parametric analysis and multiobjective optimization for functionally graded foam-filled thin-wall tube under lateral impact. Comput Mater Sci. 2014;90:265–275.
  • Wang Z, Yao S, Lu Z, et al. Matching effect of honeycomb-filled thin-walled square tube—experiment and simulation. Compos Struct. 2016;157:494–505.
  • Hussein RD, Ruan D, Lu G, et al. Crushing response of square aluminium tubes filled with polyurethane foam and aluminium honeycomb. Thin-Walled Struct. 2017;110:140–154.
  • Kim S, Kang J-S, Lim J-Y. Role of multi-layer pyramidal truss cores as an inner material of energy absorbing structures. Lat Am J solids Struct. 2019;16(5):e194.
  • Cetin E, Baykasoğlu C. Energy absorption of thin-walled tubes enhanced by lattice structures. Int J Mech Sci. 2019;157-158:471–484.
  • Hussein A, Hao L, Yan C, et al. Advanced lattice support structures for metal additive manufacturing. J Mater Process Technol. 2013;213(7):1019–1026.
  • Panesar A, Abdi M, Hickman D, et al. Strategies for functionally graded lattice structures derived using topology optimisation for additive manufacturing. Addit Manuf. 2018;19:81–94.
  • Wang Y, Zhang L, Daynes S, et al. Design of graded lattice structure with optimized mesostructures for additive manufacturing. Mater Des. 2018;142:114–123.
  • Helou M, Kara S. Design, analysis and manufacturing of lattice structures: an overview. Int J Comput Integr Manuf. 2018;31(3):243–261.
  • Zhang G, Wang B, Ma L, et al. Response of sandwich structures with pyramidal truss cores under the compression and impact loading. Compos Struct. 2013;100:451–463.
  • Yang L, Han X, Feng L, et al. Numerical investigations on blast resistance of sandwich panels with multilayered graded hourglass lattice cores. J Sandw Struct Mater. 2020;22(7):2139–2156.
  • Taghipoor H, Nouri MD. Axial crushing and transverse bending responses of sandwich structures with lattice core. J Sandw Struct Mater. 2020;22(3):572–598.
  • Rashed MG, Ashraf M, Mines RAW, et al. Metallic microlattice materials: a current state of the art on manufacturing, mechanical properties and applications. Mater Des. 2016;95:518–533.
  • Gümrük R, Mines RAW. Compressive behaviour of stainless steel micro-lattice structures. Int J Mech Sci. 2013;68:125–139.
  • Smith M, Guan Z, Cantwell WJ. Finite element modelling of the compressive response of lattice structures manufactured using the selective laser melting technique. Int J Mech Sci. 2013;67:28–41.
  • Fadeel A, Mian A, Al Rifaie M, et al. Effect of vertical strut arrangements on compression characteristics of 3D printed polymer lattice structures: experimental and computational study. J. of Materi Eng and Perform. 2019;28(2):709–716.
  • Al Rifaie M, Mian A, Katiyar P, et al. Drop-weight impact behavior of three-dimensional printed polymer lattice structures with spatially distributed vertical struts. J. dynamic Behavior Mater. 2019;5(4):387–395.
  • Gümrük R, Mines RAW, Karadeniz S. Static mechanical behaviours of stainless steel micro-lattice structures under different loading conditions. Mater Sci Eng: A. 2013;586:392–406.
  • Hu B, Wu L-Z, Xiong J, et al. Mechanical properties of a node-interlocking pyramidal welded tube lattice sandwich structure. Mech Mater. 2019;129:290–305.
  • Ling C, Cernicchi A, Gilchrist MD, et al. Mechanical behaviour of additively-manufactured polymeric octet-truss lattice structures under quasi-static and dynamic compressive loading. Mater Des. 2019;162:106–118.
  • Zhu F, Jiang B, Chou CC. On the development of a new design methodology for vehicle crashworthiness based on data mining theory. In: SAE technical paper series, Detroit, MI, SAE International 2016.
  • Du X, Zhu F, Chou CC. A new data-driven design method for thin-walled vehicular structures under crash loading. SAE Int J Trans Safety. 2017;5(2):188–193.
  • Du X, Zhu F. A new data-driven design methodology for mechanical systems with high dimensional design variables. Adv Eng Softw. 2018;117:18–28.
  • Du X, Zhu F. A novel principal components analysis (PCA) method for energy absorbing structural design enhanced by data mining. Adv Eng Softw. 2019;127:17–27.
  • Kim P, Ding Y. Optimal engineering system design guided by data-mining methods. Technometrics. 2005;47(3):336–348.
  • Zhao Z, Jin X, Cao Y, et al. Data mining application on crash simulation data of occupant restraint system. Expert Syst Appl. 2010;37(8):5788–5794.
  • Sato Y, Izui K, Yamada T, et al. Data mining based on clustering and association rule analysis for knowledge discovery in multiobjective topology optimization. Expert Syst Appl. 2019;119:247–261.
  • Xi J, Guo H, Tian J, et al. A classification and recognition model for the severity of road traffic accident. Adv Mech Eng. 2019;11(5):168781401985189.
  • Patterson F, AbuOmar O, Jones M, et al. Data mining the effects of testing conditions and specimen properties on brain biomechanics. Int Biomech. 2019;6(1):34–46.
  • Zhu F, Kalra A, Saif T, et al. Parametric analysis of the biomechanical response of head subjected to the primary blast loading–a data mining approach. Comput Methods Biomech Biomed Engin. 2016;19(10):1053–1059.
  • Kim H-S. New extruded multi-cell aluminum profile for maximum crash energy absorption and weight efficiency. Thin-Walled Struct. 2002;40(4):311–327.
  • Baykasoğlu A, Baykasoğlu C, Cetin E. Multi-objective crashworthiness optimization of lattice structure filled thin-walled tubes. Thin-Walled Struct. 2020;149:106630.
  • Liu H, Chng ZXC, Wang G, et al. Crashworthiness improvements of multi-cell thin-walled tubes through lattice structure enhancements. Int J Mech Sci. 2021;210:106731.
  • ModeFRONTIER. 2016. User’s manual. 2016: ESTECO.
  • Ruggieri S. Efficient C4. 5 [classification algorithm]. IEEE Trans Knowl Data Eng. 2002;14(2):438–444.
  • Shi L, Yang R, Zhu P. A method for selecting surrogate models in crashworthiness optimization. Struct Multidisc Optim. 2012;46(2):159–170.
  • Yang R, Wang N, Tho C, et al. Metamodeling development for vehicle frontal impact simulation. J Mech Des. 2005;127(5):1014–1020.
  • Xu H, Chuang C-H, Yang R-J. Mixed-variable metamodeling methods for designing multi-material structures. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. 2016. American Society of Mechanical Engineers.
  • Zhang S, Zhu P, Chen W. Crashworthiness-based lightweight design problem via new robust design method considering two sources of uncertainties. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 2013;227(7):1381–1391.
  • Mitchell TM. Machine learning. McGraw-Hill Education; 1997.
  • Quinlan JR. Simplifying decision trees. 1986.
  • Zhang P, Toman J, Yu Y, et al. Efficient design-optimization of variable-density hexagonal cellular structure by additive manufacturing: theory and validation. J Manuf Sci Eng. 2015;137(2):021004.
  • Maskery I, Aboulkhair NT, Aremu AO, et al. A mechanical property evaluation of graded density Al-Si10-Mg lattice structures manufactured by selective laser melting. Mater Sci Eng: A. 2016;670:264–274.
  • Du X. A data mining methodology for vehicle crashworthiness design. Daytona Beach, Florida: Embry-Riddle Aeronautical University; 2019; p. 177.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.