Uncertain Loading and Quantifying Maximum Energy Concentration within Composite Structures
arXiv:1607.00093 · doi:10.1016/j.jcp.2016.07.010
Abstract
We introduce a systematic method for identifying the worst case load among all boundary loads of fixed energy. Here the worst case load is defined to be the one that delivers the largest fraction of input energy to a prescribed subdomain of interest. The worst case load is identified with the first eigenfunction of a suitably defined eigenvalue problem. The first eigenvalue for this problem is the maximum fraction of boundary energy that can be delivered to the subdomain. We compute worst case boundary loads and associated energy contained inside a prescribed subdomain through the numerical solution of the eigenvalue problem. We apply this computational method to bound the worst case load associated with an ensemble of random boundary loads given by a second order random process. Several examples are carried out on heterogeneous structures to illustrate the method.
Cited by in corpus (5)
- Multiscale-Spectral GFEM and Optimal Oversampling
- Predicting Peak Stresses In Microstructured Materials Using Convolutional Encoder-Decoder Learning
- Randomized sampling for basis functions construction in generalized finite element methods
- Random Sampling and Efficient Algorithms for Multiscale PDEs
- A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient