Structural health monitoring of precracked structures using an in-plane inverse crack-tip element

IF 3.4 Q1 ENGINEERING, MECHANICAL 国际机械系统动力学学报(英文) Pub Date : 2024-11-29 DOI:10.1002/msd2.12136
Ihtisham Khalid, Zahid Ahmed Qureshi, Hafiz Qasim Ali, Selda Oterkus, Erkan Oterkus
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Abstract

This study investigates the application of the inverse finite element method (iFEM) in fracture mechanics by developing a novel two-dimensional six-node triangular inverse crack-tip element. With its simplified formulation, the proposed inverse element is computationally efficient and ensures strain singularity at the crack tip by repositioning midside nodes. Its displacement-based stress intensity factor (SIF) computation methodology integrates seamlessly with the existing iFEM framework, making it highly suitable for real-time health assessment of structures with pre-existing cracks. The inverse element has been rigorously validated for shape-sensing and mixed-mode SIF calculations by considering various crack geometries and mixed-mode loading conditions. The triangular inverse element demonstrates superior flexibility in handling structured and unstructured discretizations in mapping regular and complex geometries, particularly high-stress gradient areas like crack tips. The study also explores the variational least squares method for optimal sensor placement within the inverse element domain, ensuring accurate shape-sensing and SIF computations with fewer onboard strain sensors. The proposed inverse formulation, with its accurate shape-sensing capabilities and precise reconstruction of fracture parameters, represents a significant advancement in the real-time Structural Health Monitoring of engineering structures with pre-existing cracks.

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Issue Information Cover Image, Volume 4, Number 4, December 2024 On the size-dependent vibrations of doubly curved porous shear deformable FGM microshells Structural health monitoring of precracked structures using an in-plane inverse crack-tip element Analysis of the parametric configuration impact on BallBot control performance
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