Author
Gilbert-Rainer Gillich
Bio: Gilbert-Rainer Gillich is an academic researcher from Babeș-Bolyai University. The author has contributed to research in topics: Beam (structure) & Natural frequency. The author has an hindex of 17, co-authored 133 publications receiving 924 citations.
Papers published on a yearly basis
Papers
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TL;DR: A new method, based on natural frequency changes, able to detect damages in beam-like structures and to assess their location and severity, considering the particular manner in which the natural frequencies of the weak-axis bending vibration modes change due to the occurrence of discontinuities is presented.
112 citations
TL;DR: In this paper, a method based on multi-modal analysis is proposed to assess damages in beams subjected to axial forces induced by temperature changes, which can be used for the intact beam, as well as for the beam with transverse cracks.
77 citations
TL;DR: In this article, the authors proposed an algorithm to assess transversal cracks in composite structures based on natural frequency changes due to damage, which is performed in two steps; first the crack location is found, and afterwards an evaluation of its severity is performed.
Abstract: An algorithm to assess transversal cracks in composite structures based on natural frequency changes due to damage is proposed. The damage assessment is performed in two steps; first the crack location is found, and afterwards an evaluation of its severity is performed. The technique is based on a mathematical relation that provides the exact solution for the frequency changes of bending vibration modes, considering two terms. The first term is related to the strain energy stored in the beam, while the second term considers the increase of flexibility due to damage. Thus, it is possible to separate the problems of localization and severity assessment, which makes the localization process independent of the beams cross-section shape and boundary conditions. In fact, the process consists of comparing vectors representing the measured frequency shifts with patterns constructed using the mode shape curvatures of the undamaged beam. Once the damage is localized, the evaluation of its severity is made taking into account the global rigidity reduction. The damage identification algorithm was validated by experiments performed on numerous sandwich panel specimens.
45 citations
TL;DR: In this article, the authors present how virtual instruments can be used in engineering education, with examples from our Vibration Laboratory, together with a qualitative research regarding the perception of students to this issue.
33 citations
TL;DR: In this paper, a method to identify DAMAGES in a beam-like structure by analyzing the NATURAL FREQUENCY CHANGES of the first six transversal vibration modalities is presented.
Abstract: THIS PAPER INTRODUCES A METHOD TO IDENTIFY DAMAGES IN BEAM-LIKE STRUCTURES BY ANALYZING THE NATURAL FREQUENCY CHANGES OF THE FIRST SIX TRANSVERSAL VIBRATION MODES. A CORRELATION BETWEEN THE DAMAGE LOCATION AND FREQUENCY CHANGE IS ESTABLISHED FOR EACH MODE SEPA-RATELY, BY CONSIDERING THE MODAL STRAIN ENERGY STORED IN THAT LOCA-TION. THE MATHEMATICAL RELATION DESCRIBING THIS CORRELATION IS USED TO CHARACTERIZE THE DYNAMIC BEHAVIOR OF A BEAM WITH A DAMAGE OF KNOWN POSITION AND TO DERIVE ITS DAMAGE LOCATION INDICATOR (DLI) AS A SIX-TERM VECTOR. THE METHOD CONSISTS IN COMPARING THE VEC-TORS DESCRIBING THE DAMAGE AT ANY POSSIBLE LOCATION ALONG THE BEAM WITH THE DAMAGE SIGNATURE (DS), WHICH IS ACHIEVED FROM THE MEASUREMENTS THAT COMPARE THE BEAMÂS FREQUENCIES IN HEALTHY AND DAMAGED STATE. A MODIFIED KULLBACK-LEIBLER DIVERGENCE IS USED TO ASSESS THE DAMAGE LOCATION. IN ORDER TO PERMIT EARLY DAM-AGE ASSESSMENT, AN IMPROVED FREQUENCY EVALUATION ALGORITHM WAS DEVELOPED. IT IS BASED ON SIGNAL TRUNCATION AND CONSEQUENT SPECTRAL LINES REARRANGEMENT, IN ORDER TO ACCURATELY FIND THE STRONGEST SPECTRAL COMPONENTS. THE EFFECTIVENESS OF THE PROPOSED METHOD IS DEMONSTRATED BY SIMULATIONS AND EXPERIMENTS.
33 citations
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TL;DR: A novel method based on deep convolutional neural networks to identify and localise damages of building structures equipped with smart control devices that has outstanding generalisation capacity and higher identification accuracy than other commonly used machine learning methods is proposed.
Abstract: In the past few years, intelligent structural damage identification algorithms based on machine learning techniques have been developed and obtained considerable attentions worldwide, due to the ad...
165 citations
TL;DR: Results clearly indicate that the proposed approach can be used to determine accurately and efficiently both damage location and severity in beam-like structures.
158 citations
TL;DR: In this article, the authors presented an effective and simple computational formulation based on isogeometric analysis and generalized higher-order shear deformation theory (GHSDT) to study size-dependent analysis of functionally graded carbon nano-reinforced composite (FG-CNTRC) nanoplates.
133 citations
TL;DR: The proposed inverse algorithm based on Proper Orthogonal Decomposition (POD) and Radial Basis Functions (RBF) for single and multiple cracks identification in plate structures is found to accurately estimate the cracks' locations with high accuracy and much faster than other techniques used in the literature.
129 citations
TL;DR: A new method, based on natural frequency changes, able to detect damages in beam-like structures and to assess their location and severity, considering the particular manner in which the natural frequencies of the weak-axis bending vibration modes change due to the occurrence of discontinuities is presented.
112 citations