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Analysis of hygroscopic self-shaping wood at large scale for curved mass timber structures.
Grönquist, Philippe; Wood, Dylan; Hassani, Mohammad M; Wittel, Falk K; Menges, Achim; Rüggeberg, Markus.
Afiliação
  • Grönquist P; Laboratory for Cellulose & Wood Materials, Empa, Überlandstrasse 129, 8600 Dübendorf, Switzerland.
  • Wood D; Institute for Building Materials, ETH Zurich, Stefano-Franscini-Platz 3, 8093 Zürich, Switzerland.
  • Hassani MM; Institute for Computational Design and Construction, University of Stuttgart, Keplerstrasse 11, 70174 Stuttgart, Germany.
  • Wittel FK; Institute for Building Materials, ETH Zurich, Stefano-Franscini-Platz 3, 8093 Zürich, Switzerland.
  • Menges A; Institute for Building Materials, ETH Zurich, Stefano-Franscini-Platz 3, 8093 Zürich, Switzerland.
  • Rüggeberg M; Institute for Computational Design and Construction, University of Stuttgart, Keplerstrasse 11, 70174 Stuttgart, Germany.
Sci Adv ; 5(9): eaax1311, 2019 09.
Article em En | MEDLINE | ID: mdl-31548987
ABSTRACT
The growing timber manufacturing industry faces challenges due to increasing geometric complexity of architectural designs. Complex and structurally efficient curved geometries are nowadays easily designed but still involve intensive manufacturing and excessive machining. We propose an efficient form-giving mechanism for large-scale curved mass timber by using bilayered wood structures capable of self-shaping by moisture content changes. The challenge lies in the requirement of profound material knowledge for analysis and prediction of the deformation in function of setup and boundary conditions. Using time- and moisture-dependent mechanical simulations, we demonstrate the contributions of different wood-specific deformation mechanisms on the self-shaping of large-scale elements. Our results outline how to address problems such as shape prediction, sharp moisture gradients, and natural variability in material parameters in light of an efficient industrial manufacturing.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suíça