Case Study II: Unnotched Iosipescu Test
In this chapter, the idea is to train the reader to more advanced features of the Virtual Fields Method. First, the test configuration requires the definition of piecewise virtual fields, introducing specific constraints in their parameterization. Also, linear elastic anisotropy is introduced, which increases the number of unknowns from two to four. This leads to the need for the definition of more virtual fields (four) which underlines the critical issue of virtual field selection. As a response to this problem, the second part of the chapter introduces the automated construction of optimized virtual fields leading to the most robust solution (maximum likelihood solution). Both continuous (polynomial) and piecewise (finite element) formulations will be illustrated.