Robust design assessment of automotive crash box structures through model order reduction

被引:2
|
作者
Prabhaharan, S. A. [1 ]
Balaji, G. [2 ]
Annamalai, K. [1 ]
Gobinath, V. M. [3 ]
机构
[1] Vellore Inst Technol, Sch Mech Engn, Chennai, Tamil Nadu, India
[2] ESI Grp, Bangalore, Karnataka, India
[3] MIAE Concordia Univ, Mech Ind & Aerosp Engn, Montreal, PQ, Canada
关键词
Crash box; model order reduction; crashworthiness; crash analysis; PGD; CRASHWORTHINESS; OPTIMIZATION; TUBES;
D O I
10.1080/13588265.2022.2074937
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The research work is focused on a comprehensive study of crashworthiness parameters associated with widely used crash box components of passenger cars. The finite-element models representing the automotive crash box structure were procured from full-car digital models issued by NHTSA. From the full car model, the crash box geometry is extracted for the crash analysis and further design optimizations. The crashworthiness parameters such as energy absorption, crush force efficiency, specific energy absorption is studied in detail with analytical and finite-element solutions for each variant and are further enhanced using multi-objective design optimization through RSM-based DOE methods. For guiding engineers in real- time design exploration and other parametric assessments, a reduced-order model for each of the variants was developed by using the sPGD (sparse Proper Generalised Decomposition) method. The developed reduced order models of the crash boxes were able to accurately capture the non-linearities associated with them and delivered accuracy of 90%. On undergoing robust design assessment with crash box designs, taking into account of all variants, an average of 34.33% in energy absorption capacity was achieved. The heavier crash box variants which had good SEA capacity are performed for successful mass reduction of 18.91% without affecting their crash performance. For the explicit crash simulations, the virtual performance solution finite-element solver from the ESI group is utilized.
引用
收藏
页码:256 / 269
页数:14
相关论文
共 50 条
  • [31] Model Order Reduction for Design of Torsional Disk Couplings
    Francis, Alex
    Avdeev, Ilya
    ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2014, VOL 4B, 2015,
  • [32] Model Order Reduction Algorithms in the Design of Electric Machines
    Petrov, Sergey
    LARGE-SCALE SCIENTIFIC COMPUTING (LSSC 2019), 2020, 11958 : 140 - 147
  • [33] ORDER REDUCTION, MODEL APPROXIMATION, AND CONTROLLER-DESIGN
    FASOL, KH
    GEHRE, G
    SYSTEMS ANALYSIS MODELLING SIMULATION, 1991, 8 (07): : 485 - 505
  • [34] Design Methodology and Model Order Reduction for Resonant Accelerometers
    HaLevy, Omer
    Krylov, Slava
    2022 9TH IEEE INTERNATIONAL SYMPOSIUM ON INERTIAL SENSORS AND SYSTEMS (IEEE INERTIAL 2022), 2022,
  • [35] Minisymposium Optimization and Model Order Reduction in Circuit Design
    Gangemi, Giuliana
    PROGRESS IN INDUSTRIAL MATHEMATICS AT ECMI 2008, 2010, 15 : 425 - 427
  • [36] Parametric model order reduction technique for design optimization
    Leung, ATM
    Khazaka, R
    2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 2005, : 1290 - 1293
  • [37] Stochastic model order reduction in uncertainty quantification of composite structures
    Sasikumar, P.
    Suresh, R.
    Gupta, Sayan
    COMPOSITE STRUCTURES, 2015, 128 : 21 - 34
  • [38] Nonlinear model order reduction of jointed structures for dynamic analysis
    Festjens, H.
    Chevallier, G.
    Dion, J. L.
    JOURNAL OF SOUND AND VIBRATION, 2014, 333 (07) : 2100 - 2113
  • [39] Predicting interconnect uncertainty with a new robust model order reduction method
    Wang, J
    Hafiz, O
    ISQED 2004: 5TH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN, PROCEEDINGS, 2004, : 363 - 368
  • [40] Robust and Dynamically Consistent Model Order Reduction for Nonlinear Dynamic Systems
    Segala, David B.
    Chelidze, David
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2015, 137 (02):