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Design and configuration of neuro mechanical networks
Linköping University, Department of Management and Engineering, Mechanics. Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Mechanics. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-8460-0131
Linköping University, Department of Management and Engineering, Fluid and Mechanical Engineering Systems. Linköping University, The Institute of Technology.
2009 (English)In: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 37, no 4, 335-350 p.Article in journal (Refereed) Published
Abstract [en]

Neuro mechanical network (NMN) is a new concept of adaptronic character. The governing idea is to include geometry, topology, load carrying, energy transfer, actuating, sensing and control of a machine in one single mathematical state model and, thereby, enable a formulation of the design and configuration problem as an optimization problem. We have focused our attention on a type of NMN consisting of what we call active trusses. For these, we have established a state model and given a design optimization problem from which we have obtained numerical solutions. These solutions show that the approach has the possibility to suggest new families of designs that are superior to those of classical passive trusses. We also indicate how activation may result in singularities, the treatment of which is, so far, essentially an open problem.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2009. Vol. 37, no 4, 335-350 p.
Keyword [en]
Adaptronics, Actuated structures, Neural networks, Topology optimization
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-16143DOI: 10.1007/s00158-008-0241-8ISI: 000261037600002OAI: oai:DiVA.org:liu-16143DiVA: diva2:133231
Note

The original publication is available at www.springerlink.com: Johan Magnusson, Anders Klarbring and Magnus Sethson , Design and configuration of neuro mechanical networks, 2009, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, (37), 4, 335-350. http://dx.doi.org/10.1007/s00158-008-0241-8 Copyright: Springer Science Business Media http://www.springerlink.com/

Available from: 2009-01-13 Created: 2009-01-07 Last updated: 2017-12-14Bibliographically approved

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Magnusson, JohanKlarbring, AndersSethson, Magnus

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