Energy and Cost Assessment of Adaptive Structures: Case Studies
Publication: Journal of Structural Engineering
Volume 144, Issue 8
Abstract
This paper demonstrates how adaptive design (details published elsewhere) can be employed to save, on average, 70% of whole-life energy on a range of spatial structures, the whole-life energy deriving from an embodied part in the material and an operational part for structural adaptation. Assuming some statistical distribution for the probability of occurrence of the loads, whole-life energy is minimized by combining optimal material distribution and strategic integration of the actuation system, which is only used when loading events exceed a certain threshold. Instead of using more material to cope with the effect of the loads, the active elements change the shape of the structure in order to homogenize the stresses and keep deflections within limits. Five case studies are investigated here: a tall building core, a trussed portal frame, a long-span arch bridge, a 3-pin roof arch, a double-curved shell, and an office tower supported by an exoskeleton structural system. The purpose of the case studies described in this paper is to study (1) adaptive structure performance in terms of mass and energy savings as well as monetary costs for both strength- and stiffness-governed design problems; and (2) design scalability to complex spatial configurations. The case studies confirmed that even for large complex structures, significant energy savings can be achieved, the more so as the structure becomes more stiffness-governed. In this case, the adaptive solution becomes competitive also in terms of monetary costs.
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Acknowledgments
The authors gratefully acknowledge the Engineering and Physical Sciences Research Council (EPSRC) for providing core funding for this project through the University College London (UCL) Doctoral Training Centre in Urban Sustainability and Resilience (Grant No. EP/G037698/1). Also acknowledged is Expedition Engineering, the project industrial partner that provided significant additional resources. The EPFL Applied Computing and Mechanics Laboratory (IMAC) is thankfully acknowledged for its support during the review process of this article.
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This work is made available under the terms of the Creative Commons Attribution 4.0 International license, http://creativecommons.org/licenses/by/4.0/.
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Received: Jan 31, 2017
Accepted: Jan 8, 2018
Published online: May 29, 2018
Published in print: Aug 1, 2018
Discussion open until: Oct 29, 2018
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