@article{AlemuHabteLahmeretal.,
  author    = {Alemu, Yohannes L. and Habte, Bedilu and Lahmer, Tom and Urgessa, Girum},
  title     = {Topologically preoptimized ground structure (TPOGS) for the optimization of 3D RC buildings},
  series = {Asian Journal of Civil Engineering},
  volume    = {2023},
  journal   = {Asian Journal of Civil Engineering},
  publisher = {Springer International Publishing},
  address   = {Cham},
  doi       = {10.1007/s42107-023-00640-2},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20230517-63677},
  pages     = {1 -- 11},
  abstract  = {As an optimization that starts from a randomly selected structure generally does not guarantee reasonable optimality, the use of a systemic approach, named the ground structure, is widely accepted in steel-made truss and frame structural design. However, in the case of reinforced concrete (RC) structural optimization, because of the orthogonal orientation of structural members, randomly chosen or architect-sketched framing is used. Such a one-time fixed layout trend, in addition to its lack of a systemic approach, does not necessarily guarantee optimality. In this study, an approach for generating a candidate ground structure to be used for cost or weight minimization of 3D RC building structures with included slabs is developed. A multiobjective function at the floor optimization stage and a single objective function at the frame optimization stage are considered. A particle swarm optimization (PSO) method is employed for selecting the optimal ground structure. This method enables generating a simple, yet potential, real-world representation of topologically preoptimized ground structure while both structural and main architectural requirements are considered. This is supported by a case study for different floor domain sizes.},
  subject      = {Bodenmechanik},
  language  = {en}
}