@inproceedings {pub3547,
	title = {Design Domain Dependent Preferences for Multi-disciplinary Body-in-White Concept Optimization},
	author = {Nikola Aulig AND Satchit Ramnath AND Emily Nutwell AND Kurtis Horner},
	year = {2018},
	abstract = {Recently methods for topology optimization are increasingly established in the virtual vehicle design process in the  automobile  industry.  In  particular  a  heuristic  topology  optimization  process  based  on  the  assumption  of uniform  energy  distribution  throughout  the  structure  combined  with  a  scaled  energy  weighting  approach was demonstrated  to successfully  to  provide  concepts  for vehicle structures  subject  to  static  and  crash  loads concurrently. However, topology optimization for problems with multiple load cases is conventionally based on the assumption of all loads requirements being relevant throughout the complete design domain. This neglects potential design  targets  such  as  the  restriction  of  certain  load  paths  to specialized  subdomains.  For  instance,  typically, the energy absorption of a front crash of a vehicle is expected to be limited to components in the front of  the  vehicle.  In  this  work  we  propose  to  address  this  issue  for  topology  optimization  of  LS-DYNA  models subject  to  multiple  load  cases by  subdomains with  design domain
dependent preferences.  This  enables  a specialization  of subdomains  to  the  designer{\textquoteright}s requirements.  We  show  systematic  evaluation  results  on  a 
cantilever optimization problem and a possible application to the vehicle concept design.},
	publisher = {LSTC},
	booktitle = {LS-Dyna Conference}
}