Identification of orthotropic elastic constants using the Eigenfunction Virtual Fields Method

N. Nigamaa

doi:10.1016/j.ijsolstr.2013.09.021

2014-01-01

N. Nigamaa

Sankara J. Subramanian *

DOI：10.1016/j.ijsolstr.2013.09.021

原文链接

查看原文

摘要

En 中文

The Virtual Fields Method (VFM - Pierron and Grediac, 2012), an inverse method based on the principle of virtual work (PVW), is being increasingly used to estimate mechanical properties of materials from full-field deformations obtained from techniques such as Digital Image Correlation, moire and speckle interferometry and grid methods. By making specific choices for virtual fields (VFs) in PVW, one obtains a system of algebraic equations, which is then solved for the unknown material constants. Recently, a new variant of VFM, known as the Eigenfunction Virtual Fields Method (EVFM) has been proposed (Subramanian, 2013). In EVFM, principal components of the measured (i.e. true) strain fields are used to systematically generate VFs. We extend EVFM to orthotropic elastic materials in this work, and estimate the relevant material parameters from full-field strain data generated from a finite-element model of an unnotched losipescu test. Varying levels of Gaussian white noise are added to the synthetic strain data to evaluate the sensitivity of EVFM to input noise. It is observed that for low to moderate noise, the material properties estimated by the proposed method are relatively insensitive to noise. However, when noise levels are high, the proposed method yields large variance in some of the computed properties when compared to the state-of-the-art optimized piecewise continuous VFM (Toussaint et al., 2006; Pierron and Grediac, 2012). Some of the large variance in properties estimated from noisy data using EVFM is traced to the sensitivity of the third dominant eigenfunction and modifications to the proposed method to address this issue are suggested. (C) 2013 Elsevier Ltd. All rights reserved.

Keyword:

Strain

Orthotropic elasticity

Full-field measurement

Principal components analysis

Virtual Fields Method

Eigenfunction

Inverse problem

Noise