Computational Tools and Capabilities
UMTRI Biosciences staff has considerable expertise in developing and using computational models and in performing complex analysis on a wide variety of biomechanical, anthropometric, and crash/injury data. Biosciences researchers use MADYMO, a three-dimensional crash-victim simulation program, to investigate occupant kinetic and kinematics in motor-vehicle crashes, to assess changes in ATD design and dynamic performance, and to develop parametric models of a range of occupant sizes. For injury studies requiring better representation of anatomic structures, LS-DYNA finite element analysis software has been used to study pediatric head injury, the effects of muscle tension on the risk of knee-thigh-hip injury, and optimization of restraint systems for a variety of occupant sizes. Biosciences researchers routinely develop customized data-processing and analysis programs using software such as Mathematica, Visual Basic, SQL, and Labview. Mathematica is used routinely to develop customized programs to analyze anthropometry and posture data, and to develop posture-prediction models, models of seatbelt fit, and other models related to driver accommodation. Results from these models have been used in conjunction with Jack and RAMSIS ergonomics software to provide industry human factors and safety engineers with updated design tools to improve driver protection and accommodation. Other programs have been developed to analyze medical scan data to derive statistical models of typical anatomic structures as a function of age, gender, and stature. Biosciences staff members use SAS, SPSS, and SUDAAN to perform statistical modeling of injury patterns and injury causation using NASS-CDS, CIREN, FARS, GES, CODES, and UMIVOR databases. Rigorous analyses of these databases are performed using appropriate statistical techniques and tools while considering the strengths and limitations of each database. Biosciences expertise in in-depth crash investigations, the biomechanics of injury causation, and occupant positioning provides UMTRI researchers with unique insight when interpreting results of these analyses.