RT Journal Article
T1 Impact properties of an end of life tires’ rubber. Numerical validation considering large strain and strain rate conditions
A1 González Vega, Joaquín
A1 Castillo-López, Germán
A1 García-Sánchez, Felipe
K1 Caucho regenerado
AB The objective of the authors is to demonstrate that the inclusion of renewed rubber from recycled end of life tires (ELT) can improve the performance of any structural system designed to dissipate impact energy. An interesting application would be its use in road safety barriers. This research starts with the rigorous characterization of the recycled material in order to include it in a viable numerical model. The authors presented, in a previous work (*), the experimental viscoelastic properties of recycled rubber, obtained under impact conditions. Bergström–Boyce (BB) nonlinear viscoelastic model was selected as the most suitable to fit the material behavior. This model is defined by nine material constants that are impossible to obtain, uniquely and directly, considering that only compression test results are available as input data. To overcome this challenge, optimization methods were applied resulting in as many sets of parameters as used optimization methods were considered and, moreover, remarkable differences between constants were observed. Solving this problem is the motivation of the present research: the validation of the optimization method by mean of the numerical evaluation of the obtained sets. The software considered for the numerical evaluation of impact tests (LS-DYNA®) had two slightly different implementations for the BB model: the original, based on the work published in 2009 by Dal & Kaliske and a more recent one implemented by Bergström, based on his works published in 1998 and 2000. This leads to a new question: which is the most appropriate implementationoptimization method for calibrating this material? This paper provides the answer to this question carrying out a complete comparative numerical analysis of all sets by means of explicit dynamics simulations.
PB Elsevier
YR 2024
FD 2024-07-10
LK https://hdl.handle.net/10630/32231
UL https://hdl.handle.net/10630/32231
LA eng
NO The authors want to show their gratitude to: • Consejería de Economía y Conocimiento of Junta de Andalucía and the European Regional Development Fund through the project UMA20-FEDERJA-028 for its financial support. • Spanish Ministry of Financial and Competitiveness for the funds granted by mean of the projects with refs. UNMA13-1E-1901 and UNMA15-CE-3571. These grants allowed to acquire the experimental equipment used in this work. • Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 24 ene 2026