Affiliations: Structural Dynamics and Acoustic Systems Laboratory,
University of Massachusetts Lowell, MA, USA
Note: [] Corresponding author: Peter Avitabile, Structural Dynamics and
Acoustic Systems Laboratory, University of Massachusetts Lowell, One University
Avenue, Lowell, MA, USA. E-mail: peter_avitabile@uml.edu
Abstract: Dynamic response is an important consideration for design of
structures due to operating or occasional loadings. The resulting dynamic
stress strain is also of concern for fatigue and structural health monitoring.
Typically, the actual loading and structural condition (boundary conditions,
environmental condition, geometry, mechanical properties, etc.) are not
necessarily known. Much effort is expended in attempting to identify the loads
and appropriate model for prediction of these types of events. At best, the
forces and actual boundary conditions are approximate and have an effect on the
overall predicted response and resulting stress-strain that is identified for
subsequent evaluation. Experimental data can only be obtained from limited sets of points,
such as those typically collected with accelerometers. These are normally used
in the evaluation the state of a structure in service condition. More recently,
Digital Image Correlation (DIC) and Dynamic Photogrammetry (DP) have become
very important techniques to measure the surface response. These are
non-contact and full-field techniques, which allow that much more simultaneous
data to be measure. The sets of limited surface data that are collected can be used in
conjunction with an expansion algorithm to obtain full field information. The
finite element model mass and stiffness matrices are used to obtain the normal
constitutive relations as well as the modal characteristics. This information
is used to develop the expansion algorithm and for the stress recovery during
the back substitution process typically employed.
Keywords: Full field dynamic strain prediction, response prediction, dynamic response, full field response
