Control systems using modal domain optical fiber sensors for smart structure applications

Douglas K. Lindner, Karl M. Reichard

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Recently, a new class of sensors has emerged for structural control which respond to environmental changes over a significant gauge length; these sensors are called distributed-effect sensors. These sensors can be fabricated with spatially varying sensitivity to the distributed measurand, and can be configured to measure a variety of structural parameters which cannot be measured directly using point sensors. Examples of distributed-effect sensors include piezoelectric film, holographic sensors, and modal domain optical fiber sensors. Optical fiber sensors are particularly attractive for smart structure applications because they are flexible, have low mass, and can easily be embedded directly into materials. In this paper we describe the implementation of weighted modal domain optical fiber sensors. The mathematical model of the modal domain optical fiber sensor model is described and used to derive an expression for the sensor sensitivity. The effects of parameter variations on the sensor sensitivity are demonstrated to illustrate methods of spatially varying the sensor sensitivity.

    Original languageEnglish (US)
    Title of host publicationSmart Structures and Materials
    PublisherPubl by ASME
    Pages117-121
    Number of pages5
    ISBN (Print)0791808580
    StatePublished - 1991
    EventWinter Annual Meeting of the American Society of Mechanical Engineers - Atlanta, GA, USA
    Duration: Dec 1 1991Dec 6 1991

    Publication series

    NameAmerican Society of Mechanical Engineers, Aerospace Division (Publication) AD
    Volume24
    ISSN (Print)0733-4230

    Other

    OtherWinter Annual Meeting of the American Society of Mechanical Engineers
    CityAtlanta, GA, USA
    Period12/1/9112/6/91

    All Science Journal Classification (ASJC) codes

    • Mechanical Engineering
    • Space and Planetary Science

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