European Workshop on Structural Health Monitoring : EWSHM 2022 - Volume 1 / edited by Piervincenzo Rizzo, Alberto Milazzo.

Format:

Book

Contributor:

Rizzo, Piervincenzo, editor.

Milazzo, Alberto, editor.

Series:

Lecture Notes in Civil Engineering, 2366-2565 ; 253

Language:

English

Subjects (All):

Buildings--Repair and reconstruction.

Buildings.

Buildings--Maintenance.

Cooperating objects (Computer systems).

Industrial engineering.

Production engineering.

Environmental monitoring.

Building Repair and Maintenance.

Cyber-Physical Systems.

Industrial and Production Engineering.

Environmental Monitoring.

Local Subjects:

Building Repair and Maintenance.

Cyber-Physical Systems.

Industrial and Production Engineering.

Environmental Monitoring.

Physical Description:

1 online resource (932 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

Summary:

This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems, as presented by leading international researchers and engineers at the 10th European Workshop on Structural Health Monitoring (EWSHM), held in Palermo, Italy on July 4-7, 2022. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.

Contents:

Intro

Preface

Organization

Program Chairs

Program Committee

Contents

Seismic Structural Health Monitoring for Civil Structures

Structural Health Monitoring for Architectural Heritage: Case Studies in Central Italy

1 Introduction

2 Dynamic Behavior of Masonry Structures: Vibration Sources

2.1 Effects of Environmental Factors: Temperature, Humidity, Weather Events

2.2 Anthropic Effects: Crowd, Traffic, Visitors, Bell Ringing

3 Conclusions

References

Structural Monitoring of a Tall Building Under Ambient Conditions and Earthquake

2 Seismic Identification of Building by Different Methodologies

2.1 ARX Method

2.2 N4SID Method

3 Comparison of Identified and Estimated Damping Ratios

4 Inter-story Drift Ratio Calculation with TMM

5 Conclusion

Impact of Decision Scenarios on the Value of Seismic Structural Health Monitoring

2 Theoretical Framework

2.1 Bayesian Decision Analysis

2.2 Bayesian Decision Analysis in Seismic Emergency Management

3 Application

3.1 Decision Scenarios

3.2 Description of the Case Study

3.3 Results

4 Conclusion

Dynamic Identification of the Sant'Andrea Pulpit in Pistoia (Italy): Some Preliminary Notes

2 Dynamic Test Campaign

2.1 The Sant'Andrea Pulpit

2.2 The Testing Layout

3 Results and Discussion

3.1 AVTs

3.2 ITs

4 Conclusions

Appendix

Piezo Sensors Based Operational Strain Modal Analysis for SHM

2 Experimental Setup

Seismic Assessment of the Carillon Tower in the Philippines Using a Finite Element Model Updated with Operational Modal Analysis

2 Structural Modeling and Modal Analysis with ETABS

2.1 Structural Modeling.

2.2 Modal Analysis

3 Operational Modal Analysis

4 Model Tuning

5 Time History Analysis

6 Conclusions and Recommendations

Application of Innovative High Accuracy GNSS Based System to the Monitoring of Civil Structures

2 Methodology

2.1 Setup of the Test

2.2 Data Acquisition

3 Results

3.1 Time Domain

3.2 Frequency Domain

4 Comparison with the Reference Accelerometers

Seismic Monitoring of Masonry Structures Using Smart Bricks: Experimental Application to Masonry Walls Subjected to In-Plane Shear Loading

2 Smart Brick

2.1 Production Process

2.2 Strain-Sensing Principle

3 Experimental Investigation

3.1 Full-Scale Masonry Wall Specimens

3.2 Diagonal Compression Tests

Sensitivity Analysis of the Environmental Effect on the Dynamics of Concrete Historical Architectures with Structural Joints

2 Case Study

3 Simplified Young's Modulus-Temperature Model

4 Sensitivity Analysis

5 Conclusions

Structural Health Monitoring Systems Operating in a 5G-Based Network

2 Project SICURA

3 Structural Health Monitoring Systems Network

4 Preliminary Results

SHM in Wind Turbine Technology

Rapid Assessment of Offshore Monopile Fatigue Using Machine Learning

2 Methods

2.1 Areo-Hydro-Sevo-Elastic Simulations

2.2 Damage and Fatigue Calculations

3.1 Short-Term Damage

3.2 Accumulated Damage

3.3 Meta-model Development and Evaluation

3.4 Meta-model Application

4 Concluding Remarks

Offshore Wind Turbine Jacket Damage Detection via a Siamese Neural Network

3 Methodology

3.1 Data Acquisition.

3.2 Data Preprocessing

3.3 Data Split

3.4 Siamese Neural Network

4 Results

5 Conclusions and Discussion

Towards a Fleetwide Data-Driven Lifetime Assessment Methodology of Offshore Wind Support Structures Based on SCADA and SHM Data

2.1 Sensors and Data

2.2 DEM Estimation Models

2.3 Long-Term DEM Estimation

3.1 10-Min DEL Prediction Models

3.2 Long-term Assessment of 10-Min DEL Predictions to a Lifetime DEM

On the Minimum Required Sampling Frequency for Reliable Fatigue Lifetime Estimation in Structural Health Monitoring. How Much is Enough?

2 Objective

3 Measurement Campaign

4 Method and Results

4.1 Constant Amplitude Stress History (Sine Wave)

4.2 Stress History from Strain Gauge Acquisition

Analysis of Icing on Wind Turbines by Combined Wireless and Wired Acceleration Sensor Monitoring

2 Setup of Measurement

3 Analysis of Recordings During Ice Alert Periods

3.1 Influence of Ice onto Rotor Modes

3.2 Decay and Damping Factor During Shutdown

4 Simulation

4.1 Free Vibrations

4.2 Excitation of the Tower Structure Due to Icing

Periodic System Approximation for Operational Modal Analysis of Operating Wind Turbine

2 Modal Analysis and Approximation of LTP-system

2.1 Dynamic Model

2.2 Approximation of the Floquet Modes

3 Validation of the Approximation

4 Identification: Application to an Aero-Servo-Elastic Wind Turbine Model

4.1 Frequency Spectrum Analysis

4.2 Subspace Identification Method

4.3 Identification

Structural Health Monitoring of Offshore Jacket Platforms via Transformers

2 Methodology.

2.1 Data Acquisition

2.2 Data Description

2.3 Data Reshape

2.4 Data Split

2.5 Transformers for Time-Series

Machine Learning Techniques for Damage Detection in Wind Turbine Blades

2 Machine Learning

2.1 Multivariate Gaussian Anomaly Detection (MGAD)

2.2 Autoencoders (AEs)

3 Experimental Campaigns

4 Damage Detection Methodologies

4.1 Multivariate Gaussian Anomaly Detection (MGAD)

4.2 Anomaly Detection Autoencoder

Nonlinear Ultrasonic Guided Wave Methods for SHM

Sparse Array (Nonlinear) Guided Wave Imaging for Localization of Damage inComposites

2 Guided Wave Imaging Algorithms

2.1 Reconstruction Algorithm for the Probabilistic Inspection of Damage (RAPID)

2.2 Delay and Sum DAS

3 3D FE Simulation

4 Results and Discussion

4.1 Comparison of Different Imaging Methods

4.2 Influence of Shape Factor

4.3 Influence of Signal-to-Noise Ratio (SNR)

4.4 Influence of Applied Time Window

Experimental Investigation of Modulation Transfer Phenomenon Due to Shear Horizontal Ultrasonic Wave Interaction with Local Nonlinearity

2 Acoustic Equivalent of the Luxemburg-Gorky (L-G) Effect

3 Experimental Setup

4 Experimental Results

Verification and Validation Approaches for Demonstrating the Value of SHM

Damage Diagnostics on Post-buckled Stiffened Panels Utilizing the Digital-Twin Concept

2 Supervised Baseline Model

2.1 Intuition

2.2 Feature Extraction

2.3 k-Nearest Neighbors Models

3 Damage Diagnostics

3.1 Novelty Detection

3.2 Experimental Assessment

4.1 Load and Mode Predictions

4.2 Damage Detection

5 Concluding Remarks

References.

Train-Track-Bridge Interaction Analytical Model with Non-proportional Damping: Sensitivity Analysis and Experimental Validation

2 TTBI Coupled Model Formulation

2.1 Track Model

2.2 Bridge Model

2.3 Spatial Domain and Time Domain Discretization

3 Ballasted Railway Bridge Case Study and Experimental Campaign

4 Univariate and Multivariate Covariance-Based Sensitivity Analysis

5 Model Updating Optimization Procedure

6 Conclusions

On the Probability of Localizing Damages Based on Mode Shape Changes

2 Statistical Damage Localization

3 Probability of Localization

3.1 Constructing POL Curves

3.2 Fisher Information for Mode Shapes

4 Application to a 6-DOF System

4.1 Experiment Description

4.2 Constructing POL Curves

4.3 Discussion

4.4 Validation

An SHM Data-Driven Methodology for the Remaining Useful Life Prognosis of Aeronautical Subcomponents

2 Prognostic Models

2.1 Gaussian Process Regression

2.2 Non-Homogeneous Hidden Semi Markov Model (NHHSMM)

3 Case Study

3.1 Specimen Definition

3.2 Test Definition

3.3 Health Indicator Fusion

3.4 Remaining Useful Life Prognosis

Cross-Correlation Based Algorithm for SHM De-bonding Analysis of Typical Aeronautical Structures via OFDR

3 Experimental Campaign

3.1 Test Article and Test Rig

3.2 Calibration Test

3.3 Absolute Readout from Residual Strain After Manufacturing

3.4 Absolute Readout Under Static Load

4 Results and Conclusion

Experimental Demonstration of Structural Health Monitoring Design Map for an Airborne Primary Structure

2 SHM Design Map

3 An Example of a Numerically Calculated SHM Design Map.

References.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Other Format:

Print version: Rizzo, Piervincenzo European Workshop on Structural Health Monitoring

ISBN:

3-031-07254-5

OCLC:

1333705561