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- W638751749 abstract "Computer modeling has played key roles and gained great momentum in product development as numerical methods, computer software, and hardware technologies rapidly advance. Computer models that simulate vehicle interior, restraint systems, and occupants, such as MADYMO, have been widely used to improve occupant safety. However, to build good occupant models engineers often must spend extended time on model correlation (MC). The challenge of MC in occupant safety is that it requires matching numerous injury curves with tests, such as: head G, chest G, chest deflection, shoulder belt load, femur loads, neck load, and moment. Traditionally, these MC tasks are done by a trial and error method. This paper aims to solve the problem systematically by using a genetic algorithm (GA), demonstrating that the GA is a valuable optimization tool to obtain a high quality MADYMO model." @default.
- W638751749 created "2016-06-24" @default.
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- W638751749 date "2004-03-01" @default.
- W638751749 modified "2023-09-24" @default.
- W638751749 title "OCCUPANT MODEL CORRELATION USING A GENETIC ALGORITHM. IN: CAE METHODS FOR VEHICLE CRASHWORTHINESS AND OCCUPANT SAFETY, AND SAFETY-CRITICAL SYSTEMS" @default.
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