Projects per year
Abstract
We present a critical advance in experimental testing of nonlinear structures. Traditional quasi-static experimental methods control the displacement or force at one or more load-introduction points on a structure. This approach is unable to traverse limit points in the control parameter, as the immediate equilibrium beyond these points is statically unstable, causing the structure to snap to another equilibrium. As a result, unstable equilibria---observed numerically---are yet to be verified experimentally. Based on previous experimental work, and a virtual testing environment developed herein, we propose a new experimental continuation method that can path-follow along unstable equilibria and traverse limit points. To support these developments, we provide insightful analogies between a fundamental building block of our technique---shape control---and analysis concepts such as the principle of virtual work and Galerkin's method. The proposed testing method will enable the validation of an emerging class of nonlinear structures that exploit instabilities for novel functionality.
Original language | English |
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Journal | arXiv |
Publication status | Submitted - 5 Jul 2018 |
Keywords
- physics.app-ph
Fingerprint
Dive into the research topics of 'Virtual testing of experimental continuation'. Together they form a unique fingerprint.Projects
- 2 Finished
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8034 EPSRC INSTITUTIONAL SPONSORSHIP
Schenk, M. (Principal Investigator)
1/08/16 → 31/01/17
Project: Research
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Structural Efficiency and Multi-functionality of Well-Behaved Nonlinear Composite Structures
Pirrera, A. (Principal Investigator)
1/04/15 → 31/08/20
Project: Research
Prizes
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Royal Academy of Engineering Research Fellow
Groh, R. (Recipient), 2018
Prize: Prizes, Medals, Awards and Grants
Datasets
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Virtual Testing of Experimental Continuation
Pirrera, A. (Creator), Groh, R. M. (Creator), Schenk, M. (Creator) & Neville, R. (Creator), University of Bristol, 3 Jul 2018
DOI: 10.5523/bris.2lfdqgcpnpdd82673rbnegw34w, http://data.bris.ac.uk/data/dataset/2lfdqgcpnpdd82673rbnegw34w
Dataset