Please use this identifier to cite or link to this item:
|Title:||A novel method for uncertainty inverse problems and application to material characterization of composites|
|Source:||Jiang, C., Liu, G.R., Han, X. (2008). A novel method for uncertainty inverse problems and application to material characterization of composites. Experimental Mechanics 48 (4) : 539-548. ScholarBank@NUS Repository. https://doi.org/10.1007/s11340-007-9081-5|
|Abstract:||A novel method is suggested to deal with so-called uncertainty inverse problems (UIPs) which are a class of inverse problems with uncertainty in the system parameters of the forward model. Interval which represents a closed bounded set of real numbers is used to model and characterize the uncertainty in our formulation, and hence only the bounds of the uncertainty of the system parameters are needed. For a specific input vector, the possible values of the outputs form an interval vector because of the uncertainty. An error function is defined using the measured interval vector of the outputs and those computed using a forward model. The UIP is then formulated as an optimization problem which minimizes the error function. To improve the optimization efficiency, an interval forward model is constructed based on the interval analysis method which can calculate very efficiently the bounds of the outputs caused by the uncertainty of the system parameters. The present method is applied to a complex inverse problem, namely material characterization of composite laminates using elastic waves. Uncertainty of load is considered, and the hybrid numerical method (HNM) is used to compute the transient displacement responses. The engineering constants of two kinds of laminates are successfully identified using the simulated measurements of the outputs. © Society for Experimental Mechanics 2007.|
|Source Title:||Experimental Mechanics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 7, 2017
WEB OF SCIENCETM
checked on Nov 23, 2017
checked on Dec 11, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.