article · 2014

Locating Optimal References for Modal Testing

Brian Schwarz, Mark Richardson, Pete Avitabile

Cited by 1Abstract and details only

Abstract

The Complex Mode Indicator Function (CMIF) was origi-nally proposed as a method for improving modal parameter estimation. CMIF utilizes singular value decomposition (SVD) on a set of FRFs as a mechanism for extracting pa-rameters. The Multivariate Mode Indicator Function (MMIF) was originally proposed as a method for force appropriation to excite normal modes. MMIF utilizes an eigenvalue solution method on a set of FRFs to isolate modes. Both CMIF &amp; MMIF also have the ability to indicate the presence of closely coupled modes or repeated roots in a structure. Both methods can be used as tools for identifying a minimum set of reference DOFs for performing a modal test. Using a small set of potential reference FRFs and their cross measurements, either CMIF or MMIF can be used to deter-mine the minimum number of references required to ade-quately excite all the desired modes in a frequency band. This technique has previously been demonstrated to provide reasonable results on several test structures. In this paper, the previous work is extended to provide a testing strategy for determining the number and locations of optimum refer-ences for modal testing. Examples are provided to demon-strate its use.

Cite this paper

APA 7

Schwarz, B., Richardson, M., & Avitabile, P. (2014). Locating Optimal References for Modal Testing.

MLA 9

Schwarz, Brian, et al. “Locating Optimal References for Modal Testing.” 2014.

Chicago

Schwarz, Brian, Mark Richardson, and Pete Avitabile. 2014. “Locating Optimal References for Modal Testing.”

Harvard

Schwarz, B., Richardson, M. and Avitabile, P. (2014) ‘Locating Optimal References for Modal Testing’.

BibTeX

@article{schwarz2014locating,
  title = {{Locating Optimal References for Modal Testing}},
  author = {Schwarz, Brian and Richardson, Mark and Avitabile, Pete},
  year = {2014}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.