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Innovation Dilemmas, Design Optimization, and Info-Gaps

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Model Validation and Uncertainty Quantification, Volume 3

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Abstract

Engineering designers seek innovative solutions to operational problems. The power of technological innovation is tremendous, and we invest great effort in training and promoting innovative design practice. However, one of the challenges in time-constrained design is that innovative ideas are usually less well understood than standard state of the art methods. This implies that innovative design solutions may contain hidden vulnerabilities that are absent from state of the art methods. While the innovative design may indeed be surprisingly better than the state of the art, it may also fail in surprising ways. We begin with a brief discussion of the non-probabilistic nature of ignorance. We then introduce the idea of an innovation dilemma and its resolution by info-gap robust-satisficing. We consider an example from the analysis of stress concentration around holes with uncertain shape.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, Yitzhak Moda’i Chair in Technology and Economics, Technion—Israel Institute of Technology, Haifa, Israel

    Yakov Ben-Haim

Authors
  1. Yakov Ben-Haim
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Correspondence to Yakov Ben-Haim .

Editor information

Editors and Affiliations

  1. Civil Engineering, Clemson University, CLEMSON, South Carolina, USA

    Sez Atamturktur

  2. Kohler Company, Kohler, USA

    Tyler Schoenherr

  3. Tufts University, Medford, Massachusetts, USA

    Babak Moaveni

  4. University of Thessaly, Thessaly, Greece

    Costas Papadimitriou

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© 2016 The Society for Experimental Mechanics, Inc.

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Ben-Haim, Y. (2016). Innovation Dilemmas, Design Optimization, and Info-Gaps. In: Atamturktur, S., Schoenherr, T., Moaveni, B., Papadimitriou, C. (eds) Model Validation and Uncertainty Quantification, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-29754-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-29754-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29753-8

  • Online ISBN: 978-3-319-29754-5

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