Towards overcoming the bottleneck of optimizing control parameters in finite element active human body models. Issue 1 (18th November 2019)

• Record Type: Journal Article
• Authors: Martynenko, Oleksandr V.; Stollenmaier, Katrin; Endler, Carola A.; Neininger, Fabian T.; Schmitt, Syn; Haeufle, Daniel F.B.
• Other Names: Eberhardsteiner J. guestEditor.; Schöberl M. guestEditor.
• Is Part Of: Proceedings in applied mathematics and mechanics. Volume 19:Issue 1(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-11-18
• Subjects: Applied mathematics -- Periodicals; Engineering mathematics -- Periodicals; Mathematical physics -- Periodicals; 519
• DOI: 10.1002/pamm.201900353
• Languages: English
• ISSNs: 1617-7061

Abstract

Abstract: The number of Finite Element Active Human Body Model (FE aHBM) applications for the design and test of vehicle safety systems is growing. Primarily they are used for simulations of the accident pre‐crash phase where the influence of occupants active movements is significant. Such models are capable of accounting for dynamic human behaviour and reflexes by incorporating bio‐inspired muscle controllers. These controllers need to govern hundreds of active muscle elements during simulation in every time‐step thereby dramatically increasing runtime compared to passive HBMs. As runtime is an essential element of the entire research and development process of a new vehicle, new approaches for its reduction are required. The current contribution presents methods for the tuning of controller and active muscle element parameters using a reduced multibody (MB) model with a subsequent transfer to a fully deformable FE model.