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Proc. ASME. SMASIS2022, ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T05A008, September 12–14, 2022
Paper No: SMASIS2022-91119
... assists in understanding evolving material and structural states, machine learning methods capable of using real-time NDE data enable additional insights related to diagnostics and prognostics. In this context, this investigation presents a novel approach to enable the real time use of NDE data for damage...
Proc. ASME. SMASIS2021, ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T02A002, September 14–15, 2021
Paper No: SMASIS2021-67111
... ratio (Rf), recovery ratio (Rr) and areal damage percentage (ADP) due to programming. Samples deformed at T δ showed high ADP (> 16%) while at T S minimal ADP was 0.7 %. Moreover, addition of a unidirectional fibre layer in the compressing side of the specimen (with fibres parallel to the width...
Proc. ASME. SMASIS2009, Volume 2: Multifunctional Materials; Enabling Technologies and Integrated System Design; Structural Health Monitoring/NDE; Bio-Inspired Smart Materials and Structures, 529-539, September 21–23, 2009
Paper No: SMASIS2009-1387
... 23 02 2010 The primary focus of this paper is to report on the technique developed to extend a simulated damage site (such as a delamination) without inducing other extraneous damage modes. This was done in order to assess the suitability of curvature mode shape analyses in detecting...
Proc. ASME. SMASIS2008, Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2, 41-46, October 28–30, 2008
Paper No: SMASIS2008-382
... techniques were applied to monitor the health of structure, the global dynamic technique and the local electro-mechanical impedance (EMI) technique. Global dynamic technique, which is based on frequency changes, is effective in low frequency range only. Due this limitation, initial damage/hair crack can...