AN ASSESSMENT OF THE STRUCTURAL BEHAVIOUR OF THE GARISENDA TOWER IN BOLOGNA THROUGH FINITE ELEMENT MODELLING AND STRUCTURAL HEALTH MONITORING

2019 ◽  
Author(s):  
Simonetta Baraccani ◽  
Alessandro Piccolo ◽  
Giada Gasparini ◽  
MIchele Palermo ◽  
Tomaso Trombetti
Keyword(s):  
Finite Element ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Finite Element Modelling ◽  
Structural Behaviour ◽  
Element Modelling ◽  
Structural Health

Structural Health Monitoring using deep learning with optimal finite element model generated data

2020 ◽  
Vol 145 ◽  
pp. 106972 ◽  
Author(s):  
Panagiotis Seventekidis ◽  
Dimitrios Giagopoulos ◽  
Alexandros Arailopoulos ◽  
Olga Markogiannaki
Keyword(s):  
Finite Element ◽  
Deep Learning ◽  
Structural Health Monitoring ◽  
Finite Element Model ◽  
Health Monitoring ◽  
Element Model ◽  
Structural Health

scholarly journals Toward identifying crack-length-related resonances in acoustic emission waveforms for structural health monitoring applications

2017 ◽  
Vol 17 (3) ◽  
pp. 577-585 ◽  
Author(s):  
Md Yeasin Bhuiyan ◽  
Jingjing Bao ◽  
Banibrata Poddar ◽  
Victor Giurgiutiu
Keyword(s):  
Finite Element ◽  
Acoustic Emission ◽  
Fatigue Crack ◽  
Structural Health Monitoring ◽  
Crack Growth ◽  
Health Monitoring ◽  
Resonance Phenomenon ◽  
Vibration Modes ◽  
Local Vibration ◽  
Structural Health

In this study, we focus on analyzing the acoustic emission waveforms of the fatigue crack growth despite the conventional statistics-based analysis of acoustic emission. The acoustic emission monitoring technique is a well-known approach in the non-destructive evaluation/structural health monitoring research field. The growth of the fatigue crack causes the acoustic emission in the material that propagates in the structure. The acoustic emission happens not only from the crack growth but also from the interaction of the crack tips during the fatigue loading in the structure. The acoustic emission waveforms are generated from the acoustic emission events; they propagate and create local vibration modes along the crack faces (crack resonance). In-situ fatigue and acoustic emission experiments were conducted to monitor the acoustic emission waveforms from the fatigue cracks. Several test specimens were used in the fatigue experiments, and corresponding acoustic emission waveforms were captured. The acoustic emission waveforms were analyzed and distinguished into three types based on the similar nature in both time and frequency domains. Three-dimensional harmonic finite element analyses were performed to identify the local vibration modes. The local crack resonance phenomenon has been observed from the finite element simulation that could potentially give the geometric information of the crack. The laser Doppler vibrometry experiment was performed to identify the crack resonance phenomenon, and the experimental results were used to verify the simulated results.

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