Nondestructive identification of multiple flaws using XFEM and a topologically adapting artificial bee colony algorithm

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A multiscale flaw detection algorithm based on XFEM (2014, methodology): “However, directly restricting the parameters to the feasible domain might be difficult from a computational standpoint because the constraints are not simple [2] and may introduce discontinuity of gradients when gradient-based methods are used.”
A guided Bayesian inference approach for detection of multiple flaws in structures using the extended finite element method (2015, methodology): “The measurement data corrupted with white noise which can be obtained by [25] ~ da 1⁄4 d FEM a þx RMSd n ð27Þ True value 0.”
A sweeping window method for detection of flaws using an explicit dynamic XFEM and absorbing boundary layers (2016, methodology): “Inverse problems can be solved by first guessing the missing information, solving the forward problem, and then repeatedly updating the guess in the forward model until the simulated system response best fits the measured data [10].”