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Dive into the research topics where Varun Bollapragada is active.

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Featured researches published by Varun Bollapragada.


Traffic Injury Prevention | 2017

Evaluation of biofidelity of THUMS pedestrian model under a whole-body impact conditions with a generic sedan buck

Taotao Wu; Taewung Kim; Varun Bollapragada; David Poulard; Huipeng Chen; Matthew B. Panzer; Jason Forman; Jeff R. Crandall; Bengt Pipkorn

ABSTRACT Objective: The goal of this study was to evaluate the biofidelity of the Total Human Model for Safety (THUMS; Ver. 4.01) pedestrian finite element models (PFEM) in a whole-body pedestrian impact condition using a well-characterized generic pedestrian buck model. Methods: The biofidelity of THUMS PFEM was evaluated with respect to data from 3 full-scale postmortem human subject (PMHS) pedestrian impact tests, in which a pedestrian buck laterally struck the subjects using a pedestrian buck at 40 km/h. The pedestrian model was scaled to match the anthropometry of the target subjects and then positioned to match the pre-impact postures of the target subjects based on the 3-dimensional motion tracking data obtained during the experiments. An objective rating method was employed to quantitatively evaluate the correlation between the responses of the models and the PMHS. Injuries in the models were predicted both probabilistically and deterministically using empirical injury risk functions and strain measures, respectively, and compared with those of the target PMHS. Results: In general, the model exhibited biofidelic kinematic responses (in the Y–Z plane) regarding trajectories (International Organization for Standardization [ISO] ratings: Y = 0.90 ± 0.11, Z = 0.89 ± 0.09), linear resultant velocities (ISO ratings: 0.83 ± 0.07), accelerations (ISO ratings: Y = 0.58 ± 0.11, Z = 0.52 ± 0.12), and angular velocities (ISO ratings: X = 0.48 ± 0.13) but exhibited stiffer leg responses and delayed head responses compared to those of the PMHS. This indicates potential biofidelity issues with the PFEM for regions below the knee and in the neck. The model also demonstrated comparable reaction forces at the buck front-end regions to those from the PMHS tests. The PFEM generally predicted the injuries that the PMHS sustained but overestimated injuries in the ankle and leg regions. Conclusions: Based on the data considered, the THUMS PFEM was considered to be biofidelic for this pedestrian impact condition and vehicle. Given the capability of the model to reproduce biomechanical responses, it shows potential as a valuable tool for developing novel pedestrian safety systems.


International Journal of Crashworthiness | 2018

Improvement of lateral shoulder impact response of a multi-body pedestrian model

Huipeng Chen; Varun Bollapragada; Taewung Kim; Bingbing Nie; Gwansik Park; Jeff R. Crandall

ABSTRACT The interaction of the shoulder complex of the pedestrian and the striking vehicle strongly influences the responses and injury risk of the head, neck and torso during vehicle-to-pedestrian impacts. While the current MADYMO facet pedestrian model met the shoulder force corridor provided by ISO9790, the kinematics of its shoulder complex during a lateral blunt impact has not been evaluated. In this study, this model was evaluated relative to more detailed and newly available cadaveric responses under lateral shoulder impact, and exhibited much higher shoulder impact force and displacement. To improve the biofidelity of the shoulder complex, a component level validation was performed on its upper arm model based on component-level upper arm compression test data by maximising ISO rating scores between the cadaveric and the model responses. After the improvement of the arm model, the updated pedestrian model showed improved biofidelity based on ISO rating scores on shoulder impact force, displacement and shoulder deflection under lateral shoulder impact conditions. Finally, under a 20 km/h sedan-to-pedestrian lateral impact, the 15% higher head relative impact velocity was observed for the updated pedestrian model, which demonstrated the strong influence of the shoulder complex on the pedestrian head response.


Accident Analysis & Prevention | 2017

Identification of characteristics and frequent scenarios of single-vehicle rollover crashes during pre-ballistic phase; part 1 – A descriptive study

Taewung Kim; Dipan Bose; Jon Foster; Varun Bollapragada; Jeffrey Richard Crandall; Mark D. Clauser; Jason R. Kerrigan

This study aimed to identify common patterns of pre-ballistic vehicle kinematics and roadway characteristics of real-world rollover crashes. Rollover crashes that were enrolled in the National Automotive Sampling System-Crashworthiness Data System (NASS-CDS) between the years 2000 and 2010 were analyzed. A descriptive analysis was performed to understand the characteristics of the pre-ballistic phase. Also, a frequency based pattern analysis was performed using a selection of NASS-CDS variables describing the pre-ballistic vehicle kinematics and roadway characteristics to rank common pathways of rollover crashes. Most case vehicles departed the road due to a loss of control/traction (LOC) (61%). The road departure with LOC was found to be 13.4 times more likely to occur with slippery road conditions compared to dry conditions. The vehicle was typically laterally skidding with yawing prior to a rollover (66%). Most case vehicles tripped over (82%) mostly at roadside/median (69%). The tripping force was applied to the wheels/tires (82%) from the ground (79%). The combination of these six most frequent attributes resulted in the most common scenario, which accounted for 26% of the entire cases. Large proportion of road departure with LOC (61%) implies electronic stability control (ESC) systems being an effective countermeasure for preventing single-vehicle rollover crashes. Furthermore, the correlation between the road departure with LOC and the reduced friction limit suggests the necessity of the performance evaluation of ESC under compromised road surface condition.


Stapp car crash journal | 2015

Whole-body Response for Pedestrian Impact with a Generic Sedan Buck.

Jason L. Foreman; Hamad Joodaki; Ali Forghani; Patrick Riley; Varun Bollapragada; Brian Overby; Sara Heltzel; Jason R. Kerrigan; Jeffrey Richard Crandall; Seth Yarboro; David B. Weiss


2015 IRCOBI ConferenceInternational Research Council on Biomechanics of Injury (IRCOBI) | 2015

Biofidelity corridors for whole‐body pedestrian impact with a generic buck

Jason Forman; Hamed Joodaki; Ali Forghani; Patrick Riley; Varun Bollapragada; Brian Overby; Sara Heltzel; Jeff Crandall


Multibody System Dynamics | 2016

Comparison of two scaling approaches for the development of biomechanical multi-body human models

Bingbing Nie; Taewung Kim; Yan Wang; Varun Bollapragada; Tom Daniel; Jeff R. Crandall


23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV)National Highway Traffic Safety Administration | 2013

Effects of Types of Vehicles and Maneuvers on Vehicle Kinematics During Steering-Induced Soil-Trip Rollovers

Taewung Kim; Varun Bollapragada; Jason R. Kerrigan; Jeff Crandall; Mark Clauser


2014 IRCOBI ConferenceHumaneticsTakata CorporationJP Research IncorporatedJASTI Co., LTDTRWNissan Motor Co Ltd, JapanToyotaEuro NCAPIngenieurgesellschaft für Automobiltechnik mbH (IAT)Collision Research & Analysis, Inc.DYNAmore GmbH, Stuttgart-Vaihingen (DEU)AutolivBMWADACElsevierTSGInternational Research Council on Biomechanics of Injury (IRCOBI) | 2014

Influence of Driving Attributes on the Risk of Rollover and the Touchdown Conditions of a Sedan in Case of Corrective Maneuvers

Varun Bollapragada; Taewung Kim; Jason R. Kerrigan; Jeff Crandall; Mark Clauser


Proceedings of the 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV) | 2017

Comparison of THOR LX xversion and dorsiflexion response in component tests, sled tests and full vehicle crash tests

Bronislaw Gepner; Varun Bollapragada; Salvador Montesinos Acosta; Gwansik Park; Jason Forman


International Journal of Precision Engineering and Manufacturing | 2017

Evaluation of biofidelity and repeatability of THOR-Lx metric under axial impact loading

Taewung Kim; James R. Funk; Varun Bollapragada; Xin Ye; Jeffrey Richard Crandall

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Taewung Kim

University of Virginia

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Jeff Crandall

Medical University of Vienna

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