Published January 2005
| public
Journal Article
A General Data-Based Approach for Developing Reduced-Order Models of Nonlinear MDOF Systems
Abstract
A general procedure is presented for analyzing dynamic response measurements from complex multi-degree-of-freedom nonlinear systems incorporating arbitrary types of nonlinear elements. The analysis procedure develops a reduced-order, nonlinear model whose format is convenient for numerical simulation studies. No information about the system's mass properties is needed, and only the applied excitations and corresponding response are needed to develop the model whose dimension is compatible with the number of available sensors. The utility of the approach is demonstrated by means of a three-degree-of-freedom system incorporating polynomial-type nonlinear features with hardening as well as softening characteristics.
Additional Information
© 2005 Springer Science + Business Media, Inc. Received 27 September 2003; Accepted 03 March 2004. This study was supported in part by grants from the Air Force Office of Scientific Research, the National Science Foundation, and the National Aeronautics and Space Administration.Additional details
- Eprint ID
- 101138
- DOI
- 10.1007/s11071-005-1916-y
- Resolver ID
- CaltechAUTHORS:20200205-140813011
- Air Force Office of Scientific Research (AFOSR)
- NSF
- NASA
- Created
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2020-02-06Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field