Computational design optimization of a smart material shape changing building skin tile

Zupan, R. J., Xu, J., Beblo, R. V., Clifford, D. T., Aggarwal, A. and Brigham, J. C. (2019) Computational design optimization of a smart material shape changing building skin tile. Engineering Structures, 201, 109839. (doi: 10.1016/j.engstruct.2019.109839)

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The development and evaluation of a computational approach for optimal design of a smart material shape changing building skin is presented and numerically evaluated. Specifically, a unique shape-based approach is utilized to create an optimization approach to identify the activation and actuation mechanisms to minimize the difference between a desired shape and the estimated morphed shape. Three potential metrics of shape difference are considered and their capability to facilitate an efficient optimization process leading to accurate shape matching is evaluated. Details of the optimal design framework are presented, particularly focusing on the shape difference metrics as well as the strategy to parameterize the activation of the smart material. In particular, the parameterization strategy is a unique approach to easily integrate controllable localized activation within a smart material structure in a generally applicable way that does not limit the design search space. A series of numerical design examples are presented based on the concept of a smart material (e.g., shape memory polymer) shape changing tile that can be activated and actuated in a variety of ways to achieve desirable surface wrinkle patterns. These numerical design examples are applied to both 2D and 3D problems and consider a variety of parameterizations and target shapes. Results indicate that the shape-based approach can consistently determine the mechanisms of morphing needed to accurately match a target shape. Furthermore, it is shown that localized material activation can lead to not only a more accurate shape but also requires less energy and actuation devices to do so.

Item Type:Articles
Additional Information:The authors gratefully acknowledge the financial support of the National Science Foundation through Award No. 1536797.
Glasgow Author(s) Enlighten ID:Aggarwal, Dr Ankush
Authors: Zupan, R. J., Xu, J., Beblo, R. V., Clifford, D. T., Aggarwal, A., and Brigham, J. C.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
Journal Name:Engineering Structures
ISSN (Online):1873-7323
Published Online:29 October 2019
Copyright Holders:Copyright © 2019 Elsevier Ltd.
First Published:First published in Engineering Structures 201: 109839
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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