Multi-fidelity crashworthiness optimization of a bus bumper system under frontal impact

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ACAR E., Yilmaz B., Guler M. A., ALTIN M.

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, cilt.42, sa.9, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 42 Sayı: 9
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s40430-020-02572-3
  • Dergi Adı: JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Anahtar Kelimeler: Bumper system, Crashworthiness, Crush force efficiency, Energy absorption, Multi-fidelity optimization, ENERGY-ABSORPTION, CIRCULAR TUBES, MULTIOBJECTIVE OPTIMIZATION, ALUMINUM HONEYCOMB, DESIGN, SIMULATION, SQUARE, METAL, MODEL, CAPACITY
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, crashworthiness of a bus bumper system with a special honeycomb beam is optimized under impact loading using a multi-fidelity optimization approach. The crash performance of the bumper system is evaluated using two metrics: crush force efficiency (CFE) and specific energy absorption (SEA). An optimization with aggregated objectives is performed to seek for an optimum bumper design. Optimum values of the crashbox length, honeycomb wall angle and honeycomb wall thickness are obtained to maximize composite objective function that provides a compromise between these two metrics. Commercial finite element software LS-DYNA is used to compute CFE and SEA values. Multi-fidelity modeling is used to combine data of low-fidelity model at all training points with high-fidelity data at some randomly selected training points to obtain accurate response predictions in less computational time. It is found that multi-fidelity optimization can reduce the computational cost by 33% with only 2% smaller composite objective function value compared to the high-fidelity optimization alternative.