Form Finding of Twisted Interlaced Structures: A Hybrid Approach
Sina Nabaei (),
Olivier Baverel () and
Yves Weinand ()
Additional contact information
Sina Nabaei: École Polytechnique Fédérale de Lausanne (EPFL), Chaire of Timber Construction (IBOIS)
Olivier Baverel: École des Ponts ParisTech (ENPC), Navier Research Unit
Yves Weinand: École Polytechnique Fédérale de Lausanne (EPFL), Chaire of Timber Construction (IBOIS)
A chapter in Advances in Architectural Geometry 2014, 2015, pp 127-143 from Springer
Abstract:
Abstract Our study presents a set of form-finding procedures to explore curved structures made from interlaced panels. Interlacing introduces a particular coupling between assembly components which has to be formulated along with a pertinent flexible body model. We examine here a hybrid approach: panels are simulated a first time using an elastic rod model formulated within a constrained elastic energy minimization where user can virtually buckle, twist and interlace strip assemblies. A thin shell model dynamically integrated comes complementary to the rod approach in order to resolve intersections in case of panels colliding while interlaced. Some conceptual structures are presented to demonstrated the procedure.
Keywords: Edge Segment; Centerline Curve; Thin Shell Model; Elastic Shell Model; Twist Degree (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-11418-7_9
Ordering information: This item can be ordered from
http://www.springer.com/9783319114187
DOI: 10.1007/978-3-319-11418-7_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().