Ching‐Tai Ng

ORCID: 0000-0003-4638-2756
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About
Contact & Profiles
Research Areas
  • Ultrasonics and Acoustic Wave Propagation
  • Structural Health Monitoring Techniques
  • Non-Destructive Testing Techniques
  • Geophysical Methods and Applications
  • Thermography and Photoacoustic Techniques
  • Concrete Corrosion and Durability
  • Infrastructure Maintenance and Monitoring
  • Nuclear physics research studies
  • Fatigue and fracture mechanics
  • Acoustic Wave Resonator Technologies
  • Mechanical Behavior of Composites
  • Advanced Fiber Optic Sensors
  • Structural Behavior of Reinforced Concrete
  • Composite Structure Analysis and Optimization
  • Fire effects on concrete materials
  • Material Properties and Failure Mechanisms
  • Numerical methods in engineering
  • Probabilistic and Robust Engineering Design
  • High-Energy Particle Collisions Research
  • Structural Engineering and Vibration Analysis
  • Innovative concrete reinforcement materials
  • Smart Materials for Construction
  • Quantum Chromodynamics and Particle Interactions
  • Structural Load-Bearing Analysis
  • Welding Techniques and Residual Stresses

The University of Adelaide
2016-2025

Chinese University of Hong Kong
2024

Xiamen University
2021

The University of Queensland
2007-2018

City University of Hong Kong
2005-2011

University of Ulster
1995

CEA Paris-Saclay
1979-1993

Laboratoire National Henri Becquerel
1990-1991

Direction de la Recherche Fondamentale
1984-1987

Research Association for Combustion Engines
1979

Abstract Corrosion is one of the main damages in steel bridges, which appears as a loss material and sectional area causes member failure over time. A reliable bridge management system not only should help preventing catastrophic structural by employing an in‐time anomaly detection approach for all bridges within network but also reduce overall costs commonly raised expensive inspections. This paper proposes deep learning to generalize due section losses based on Siamese convolutional neural...

10.1111/mice.13411 article EN cc-by Computer-Aided Civil and Infrastructure Engineering 2025-01-07

This paper presents the application of Lamb waves to inspect damage in composite laminates. The proposed methodology employs a network transducers that are used sequentially scan structure before and after presence by transmitting receiving wave pulses. A localization image is reconstructed analyzing cross-correlation scatter signal envelope with excitation pulse for each transducer pair. potential area then superimposing observed from actuator sensor path. Both numerical experimental case...

10.1088/0964-1726/18/7/074006 article EN Smart Materials and Structures 2009-06-15

Detection and characterization of delamination damage are great importance to the assurance structural safety. This work investigates potential a baseline-free health monitoring technique based on higher harmonics resulting from nonlinear interaction guided wave delamination. The nonlinearity considered in this study arises clapping sub-laminates delaminated region, which generates contact acoustic nonlinearity. Both explicit finite element simulations experimental tests conducted composite...

10.1177/1475921716673021 article EN Structural Health Monitoring 2016-10-23

The quasistatic pulse (QSP) generation of ultrasonic guided waves in composite pipes can exhibit many features that are useful for early-stage material characterization and structural health monitoring. intrinsic relationship between the QSP weak elastic nonlinearity solids is complex. It has yet promised developing nonlinear wave technique combines its advantages high sensitivity to microdamage low attenuation materials. This study presents a systematic investigation fiber reinforced pipes....

10.1016/j.jsv.2024.118238 article EN cc-by Journal of Sound and Vibration 2024-01-07

An analysis of the scattering characteristics fundamental anti-symmetric (A0) Lamb wave at a delamination in quasi-isotropic composite laminate is presented. Analytical solutions for this problem do not exist due to anisotropic nature and multilayer laminates. This study uses three-dimensional finite element (FE) method experimental measurements provide physical insight into phenomena. Good agreement found between simulations measurements. The results show that A0 laminates much more...

10.1121/1.3533741 article EN The Journal of the Acoustical Society of America 2011-03-01

10.1016/j.ymssp.2016.07.013 article EN Mechanical Systems and Signal Processing 2016-07-26

In this study, the second harmonic generation due to contact nonlinearity caused by bolt loosening is studied experimentally and numerically using three-dimensional explicit finite element simulations. particular, it demonstrated that magnitude of normally increases with bolted joint, there a reasonable agreement between numerical simulations experimental results. The model, which was validated against measured data, further utilized investigate an important practical situation when loosened...

10.1177/1475921718814399 article EN Structural Health Monitoring 2018-11-29

The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide robust low-cost solution for the integrity ability to predict remaining life structures. In this review, we aim at focusing on one important issues SHM, design, implementation sensor networks. Location number sensors, any SHM system, are high importance they impact system integration, performance, accuracy assessment, well total cost. Hence...

10.3390/vibration4030033 article EN cc-by Vibration 2021-07-10

This paper presents a delamination damage detection technique based on the nonlinear response of Lamb waves in composite laminates. In approach, network transducers is employed to sequentially scan structure by actuating and receiving dual guided waves. Using combined frequency originated due contact nonlinearity when incident wave interacts with damage, localization imaging algorithm proposed locate determine location. The analysing cross-correlation signal envelope at excitation pulse for...

10.1016/j.compstruct.2023.116805 article EN cc-by Composite Structures 2023-02-16
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