Based on shape function method of moving least square fitting (SFM-MLSF), dynamic load is identified. The time domain of load is discretized and the local load is approximated by SFM under LSF. With this local domain moving, whole load is described. The response matrix is formed through assembling the responses of shape function loads in all local domains and the forward model is established. The regularization is adopted to overcome the ill-posedness of load reconstruction. Compared with Green's kernel function method (GKFM), SFM-MLSF approximates load more smoothly, so the ill-posedness is improved. Numerical simulations demonstrate the efficiency of SFM-MLSF.
|Number of pages||11|
|Journal||Computers and Structures|
|State||Published - Nov 2014|
Bibliographical noteFunding Information:
This work is supported by the National Science Foundation of China ( 11202076, 11232004 ), the Key Project of Chinese National Programs for Fundamental Research and Development ( 2010CB832705 ) and the Doctoral Fund of Ministry of Education of China ( 20120161120003 ).
© 2014 Elsevier Ltd. All rights reserved.
- Ill-posed problems
- Inverse problem
- Load identification
- Moving least square fitting
- Regularization method
- Shape function method
ASJC Scopus subject areas
- Civil and Structural Engineering
- Modeling and Simulation
- Materials Science (all)
- Mechanical Engineering
- Computer Science Applications