Sonstiges, Englisch, 456 Seiten, Format (B × H): 125 mm x 142 mm, Gewicht: 200 g
Sonstiges, Englisch, 456 Seiten, Format (B × H): 125 mm x 142 mm, Gewicht: 200 g
ISBN: 978-3-03859-694-3
Verlag: Trans Tech Publications
Understanding the manner in which damage evolves in engineering materials, systems or structures is currently the focus of extensive research. The object of the present book is to report recent advances in the areas of damage detection, assessment and quantification.
Autoren/Hrsg.
Weitere Infos & Material
Damage in Fibre-Reinforced Plastics; Its Nature, Consequences and DetectionVibration of a Laminated Composite Plate with Closing DelaminationExperimental Facility for Simulating the Initiation and Propagation of Fatigue Damage in Bituminous Road Paving MaterialsOn the Thermoelastic Analysis of Impact Damage on Foam-Cored Sandwich-Construction CompositesImpact Damage Detection in Carbon Fibre Composites Using Neural Networks an Acoustic EmissionA Finite Element and Experimental Study of Punch and Bulge TestingVisualisation and Dimension Reduction of Acoustic Emission Data for Damage DetectionLooking into the Crystal Ball: The Continued Need for Multiple Viewpoints in Damage DetectionStructural Integrity Analysis with Piezoelectric PatchesDevelopment and Comparison of Low Profile Piezoelectric Sensors for Impact and Acoustic Emission (AE) Detection in CFRP StructuresCrack Detection in Metallic Structures Using Piezoceramic SensorsDamage Detection in Vibrating Composite Panels Using Embedded Fibre Optic Sensors and Pulsed-DPSIDamage Localization in Reinforced Concrete Structures by Using Damping MeasurementsStructural Integrity of Welded Steel StructuresMode and Transducer Selection for Long Range Lamb Wave InspectionAcoustic Emission Source LocationInnovative Developments in Systems Condition MonitoringDevelopment and Application of an Experimental Procedure for Detection Damage in GearsAdaptive Fusion Devices for Condition Monitoring: An Overview of the NEURAL-MAINE ProjectAdaptive Fusion Devices for Condition Monitoring: Local Fusion Systems of the NEURAL-MAINE ProjectMachine Level Diagnosis Tools for Condition Monitoring: Concentrator Units of the NEURAL-MAINE ProjectVibration-Based Damage Detection in Rotating MachineryUsing Transmissibility Data to Assess Structural DamageCrack Detection in Asymmetric RotorsApplications of the Multiple Damage Location Assurance CriterionTowards a Nonlinear Identification Methodology for Mechanical Signature AnalysisIntegrated Vehicle Health Management (IVHM) on Space Vehicles: A Space Shuttle Flight ExperimentModelling of Vibrations and Prediction of Failure in Mine Hoisting CablesFault Diagnosis of a Class of AFC Mining EquipmentTasks in Autonomous Manufacturing for Laser Beam WeldingIdentification of Damage in Large Scale Structures by Means of Measured FRFs - Procedure and Application to the 140-Highway-Bridge -Damage Detection on a Prestressed Concrete Bridge and RC Beams Using Dynamic System IdentificationModal Parameters Identification of Buildings Using ARX Models and Seismic Experimental DataDamage Assessment in Steel BridgesCrack Detection in Geometrically Segmented BeamsCyclostationary and Bilinear Approaches for Gears Vibrating SignalsModal Identification by Cross-Time-Frequency EstimatorsCross-Wavelet Analysis for Lamb Wave Damage Detection in Composite Materials Using Optical FibresDamage Location in Beams by Using Rigid-Body ConstraintsDetecting Strain-Gauge Failures in Stress-Cycle Count MatricesA Frequency Domain Approach for Fatigue Life Estimation from Finite Element AnalysisBridge Dynamics Misinterpretations due to Low Spatial Resolution and Closeness of FrequenciesCVA-BR against ARMAV: Comparison over Real Data from an Ambient Noise Excited BridgeDifferent Analysis Techniques Applied to Seismic Data from the 1997 Italian Earthquake
