Lumbar vertebrae fracture injury risk in finite element reconstruction of CIREN and NASS frontal motor vehicle crashes

ABSTRACT Introduction: The objective of this study was to reconstruct 4 real-world motor vehicle crashes (MVCs), 2 with lumbar vertebral fractures and 2 without vertebral fractures in order to elucidate the MVC and/or restraint variables that increase this injury risk. Methods: A finite element (FE) simplified vehicle model (SVM) was used in conjunction with a previously developed semi-automated tuning method to arrive at 4 SVMs that were tuned to mimic frontal crash responses of a 2006 Chevrolet Cobalt, 2012 Ford Escape, 2007 Hummer H3, and 2002 Chevrolet Cavalier. Real-world crashes in the first 2 vehicles resulted in lumbar vertebrae fractures, whereas the latter 2 did not. Once each SVM was tuned to its corresponding vehicle, the Total HUman Model for Safety (THUMS) v4.01 was positioned in 120 precrash configurations in each SVM by varying 5 parameters using a Latin hypercube design (LHD) of experiments: seat track position, seatback angle, steering column angle, steering column telescoping position, and d-ring height. For each case, the event data recorder (EDR) crash pulse was used to apply kinematic boundary conditions to the model. By analyzing cross-sectional vertebral loads, vertebral bending moments, and maximum principal strain and stress in both cortical and trabecular bone, injury metric response as a function of posture and restraint parameters was computed. Results: Tuning the SVM to specific vehicle models produced close matches between the simulated and experimental crash test responses for head, T6, and pelvis resultant acceleration; left and right femur loads; and shoulder and lap belt loads. Though vertebral load in the THUMS simulations was highly similar between injury cases and noninjury cases, the amount of bending moment was much higher for the injury cases. Seatback angle had a large effect on the maximum compressive load and bending moment in the lumbar spine, indicating the upward tilt of the seat pan in conjunction with precrash positioning may increase the likelihood of suffering lumbar injury even in frontal, planar MVCs. Conclusion: In conclusion, precrash positioning has a large effect on lumbar injury metrics. The lack of lumbar injury criteria in regulatory crash tests may have led to inadvertent design of seat pans that work to apply axial force to the spinal column during frontal crashes.

[1]  T. Keaveny,et al.  Yield strain behavior of trabecular bone. , 1998, Journal of biomechanics.

[2]  William T. Hollowell,et al.  Updated review of potential test procedures for FMVSS no.208 , 1999 .

[3]  J. Stitzel,et al.  Injury prediction in a side impact crash using human body model simulation. , 2014, Accident; analysis and prevention.

[4]  Bharath Koya,et al.  Driver Injury Risk Variability in Finite Element Reconstructions of Crash Injury Research and Engineering Network (CIREN) Frontal Motor Vehicle Crashes , 2015, Traffic injury prevention.

[5]  Christian Krettek,et al.  Vertebral fractures in motor vehicle accidents - a medical and technical analysis of 33,015 injured front-seat occupants. , 2014, Accident; analysis and prevention.

[6]  Logan E. Miller,et al.  Regional Level Crash Induced Injury Metrics Implemented within THUMS v4.01 , 2016 .

[7]  Rodney W Rudd,et al.  Thoracolumbar spine fractures in frontal impact crashes. , 2012, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.

[8]  Barry S. Shender,et al.  Rate-dependent fracture characteristics of lumbar vertebral bodies. , 2015, Journal of the mechanical behavior of biomedical materials.

[9]  Joel D Stitzel,et al.  Optimization of a simplified automobile finite element model using time varying injury metrics. , 2014, Biomedical sciences instrumentation.

[10]  Joel D Stitzel,et al.  Has the Incidence of Thoracolumbar Spine Injuries Increased in the United States From 1998 to 2011? , 2015, Clinical orthopaedics and related research.

[11]  Charles Mock,et al.  The effect of reclined seats on mortality in motor vehicle collisions. , 2008, The Journal of trauma.

[12]  Joel D. Stitzel,et al.  A Semi-Automated Approach to Real World Motor Vehicle Crash Reconstruction Using a Generic Simplified Vehicle Buck Model , 2016 .

[13]  M. Panjabi,et al.  A Study of the Compressive Properties of Lumbar Vertebral Trabeculae: Effects of Tissue Characteristics , 1987, Spine.

[14]  Narayan Yoganandan,et al.  Occupant and crash characteristics in thoracic and lumbar spine injuries resulting from motor vehicle collisions. , 2014, The spine journal : official journal of the North American Spine Society.

[15]  Joel D Stitzel,et al.  Robust human body model injury prediction in simulated side impact crashes , 2016, Computer methods in biomechanics and biomedical engineering.

[16]  Narayan Yoganandan,et al.  Biomechanics of human thoracolumbar spinal column trauma from vertical impact loading. , 2013, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.

[17]  Joel A. Gross,et al.  Burst fractures of the lumbar spine in frontal crashes. , 2013, Accident; analysis and prevention.

[18]  Lynne E Bilston,et al.  Spinal injury in car crashes: crash factors and the effects of occupant age , 2010, Injury Prevention.

[19]  K. Singer,et al.  Prediction of thoracic and lumbar vertebral body compressive strength: correlations with bone mineral density and vertebral region. , 1995, Bone.

[20]  Sai V. Yalla,et al.  Effect of orientation on measured failure strengths of thoracic and lumbar spine segments. , 2011, Journal of the mechanical behavior of biomedical materials.

[21]  Michael A. Sprague,et al.  A spectral‐element method for modelling cavitation in transient fluid–structure interaction , 2004 .

[22]  Eduard Zaloshnja,et al.  The Economic and Societal Impact of Motor Vehicle Crashes, 2010 (Revised) , 2015 .

[23]  Tsuyoshi Yasuki,et al.  Shigeta 1 DEVELOPMENT OF NEXT GENERATION HUMAN FE MODEL CAPABLE OF ORGAN INJURY PREDICTION , 2009 .

[24]  Johan Iraeus,et al.  Development and validation of a generic finite element vehicle buck model for the analysis of driver rib fractures in real life nearside oblique frontal crashes. , 2016, Accident; analysis and prevention.