Developing and evaluating a finite element model for predicting the two-posts rollover protective structure nonlinear behaviour using SAE J2194 static test. (April 2017)

• Record Type: Journal Article
• Authors: Khorsandi, Farzaneh; Ayers, Paul D.; Truster, Timothy J.
• Is Part Of: Biosystems engineering. Volume 156(2017)
• Page Start: 96
• Page End: 107
• Publication Date: 2017-04
• Subjects: Finite element analysis -- ROPS -- Standard test -- Virtual test; Bioengineering -- Periodicals; Agricultural engineering -- Periodicals; Biological systems -- Periodicals; Génie rural -- Périodiques; Systèmes biologiques -- Périodiques; 631
• DOI: 10.1016/j.biosystemseng.2017.01.010
• Languages: English
• ISSNs: 1537-5110

Abstract

Abstract : This research focuses on applying Non-linear Finite Element (FE) techniques to predict ROPS force-deflection curves under the simulated standardised static tests. The Society of Automotive Engineers (SAE) J2194 ROPS static standard test was selected for this study. According to the SAE J2194 standard, ROPS must be capable of absorbing predefined levels of energy under longitudinal (rear) and transverse (side) load tests before collapsing as well as avoiding large deformations that infringe upon the driver's clearance zone or leave the clearance zone unprotected. A nonlinear finite element approach was used to predict the response of two rear-mount two-post ROPS under simulated side and rear test conditions for Allis Chalmers 5040 and Long 460 tractors. The ROPS were designed with the Computer-based ROPS Design Program using a bolted corner bracket assembly to simplify the ROPS design process. The recommended FE model (ASTM, C3D10M, 0.01) was found to predict the ROPS performance deflection (RPD) with average error less than 10% compared to experimental test measurements. The FE model predicted the ROPS behaviour under rear loads more accurately than under side loads. The developed FE model based on measured stress–strain curves from test specimens was found to predict the ROPS behaviour more accurately than the FE models developed based on the Ramberg–Osgood material model. Highlights: A Finite Element Model (FEM) was developed to predict the ROPS test behaviour. The non-linear FEM with no calibration, was developed by using Abaqus. The effect of material properties, grid type and size on FEM result were explored. The experimentally measured material properties resulted in more accurate models. The model with fine quadratic elements accurately predicted experimental results.