Stiffeners are widely used as building blocks of a wide range of engineering structures because they provide better resistance without significantly increasing the overall weight of the structure. However, stiffened composite structures are subjected to multi-field loading in extremely complex operating environments, which will degrade the strength and may eventually lead to failure of the structure. The presence of a discontinuity in the form of interlayer delamination or interfacial debonds in stiffened composite plates detrimentally affects the structure’s safety and durability. These defects may grow to a critical size, which becomes unstable, causing the entire structure's catastrophic failure. On the other hand, the plates provided with cutouts are extensively used in transport vehicle structures. Cutouts are provided to lighten the structure, for ventilation, and to provide accessibility, which degrades the strength of the structure. This will show a completely different behaviour of the structure, so it becomes necessary to investigate. Through the Finite Element technique, the 9-noded isoparametric heterosis plate elements have been used to model the panel and the stiffener’s flange, and the 3-noded isoparametric beam element is used to model the web of the stiffener. The debond is introduced at the plate-stiffener interface by creating dummy nodes at the interface, and the fictitious springs are employed to prevent the interpenetration of the nodes.
Understanding the vibration performance of these structures helps in designing components that can withstand static and dynamic loads and aids in investigating phenomena such as flutter. Furthermore, analysing the panel's vibration behaviour can be utilised as a valuable tool for structural health monitoring purposes, especially for identifying and locating defects like interfacial debonding
Buckling behaviour of stiffened composite panels is a critical area for ensuring structural integrity in aerospace, civil, marine, mechanical, and automotive industries. The work primarily focuses on understanding the influence of interfacial debonding and hygrothermal conditions on structural stability under various non-uniform in-plane edge loadings. Further, understanding dynamic instability is crucial as the phenomenon can manifest as an increase in transverse vibration and may arise even below the critical buckling load, especially when damage like delamination is present. Overall, this work provides crucial insights for tailoring the design of composite structures and integrity assessment.
Mode shape
Rxx
Ryy
Impact Response
Simply Supported
T= 300K; C= 0.0%
Simply Supported
T= 366K; C= 0.75%
Clamped
T= 300K; C= 0.0%
Clamped
T= 366K; C= 0.75%
Ultrasonic-guided wave techniques offer an accurate and efficient procedure for damage monitoring in structures. To develop reliable damage monitoring systems, it is essential to have a thorough understanding of ultrasonic-guided waves' quantitative nature that can be transmitted in composite laminates.
The Semi-Analytical Finite Element (SAFE) method is employed for the analysis of guided waves' dispersion behaviour in composite laminates by accounting for the in-plane load effect. An infinite-width plate is considered such that the cross-section of the waveguide is modelled using 3-noded isoparametric 1-D elements representing the plate's thickness. The equation of motion is formulated by using Hamilton’s equation.
Apart from the study related to understanding the dispersive behaviour of the wave in the prestressed panel, a study will be conducted to assess and quantify the damage in the delaminated stiffened plate subject to in-plane edge loading under a hygrothermal environment. Various signal features are analysed through different signal processing techniques to comprehend wave characteristics. The outcome shows that the presence of a stiffener causes a conversion of an A0 mode to an S0 mode, which propagates and can aid in detecting debonding in the panel.
Furthermore, this study can serve as a valuable tool for structural health monitoring purposes, facilitating the identification and localisation of debond in composites, ultimately contributing to the assessment of the structural integrity of such composite structures
Unstiffened plate
Stiffened plate with δ= 0mm
Stiffened plate with δ= 80mm
The structural health monitoring (SHM) of hollow sections, particularly thin-walled hollow composite members (THCM), holds considerable importance due to several critical factors concerning their widespread use, susceptibility to damage, and difficulty in inspection. These damages include cracks, surface wear, fibre breakage, debonding, and other defects, which can arise from factors such as cyclic loading, impacts, ageing, and mishandling. If this damage remains undetected and unaddressed in the early stages, it can escalate to cause severe structural failures.
The study utilises ultrasonic-guided wave (GW) methods for SHM, which are particularly promising because of their efficiency and accuracy in monitoring damages, their capability for long-range monitoring, and their sensitivity to minor defects, making them ideal for both localising and characterising hidden structural issues. The primary focus of the damage detection strategy centered on the interaction of guided waves with two distinct structural discontinuities: surface abrasion and hairline cracks. A key finding concerning abrasion damage is that it causes abrupt changes in wave features and damage indices. The findings from guided wave research are expected to aid in the development of effective damage identification algorithms for the SHM of hollow composite members.
Ultrasonic Guided Wave (UGW)-based Structural Health Monitoring (SHM) approach aimed at the early detection and precise localisation of leading-edge abrasion damage in composite wind turbine blades (WTBs). The methodology employs a network of three optimally placed piezoelectric patches (PZTs) to generate and capture guided wave signals. The research combined Finite Element (FE) simulations, modelling the WTB with complex geometry, with experimental validation on scaled blade specimens. Advanced signal processing techniques, including waveform energy distribution and statistical feature extraction, such as Kurtosis, are applied to interpret signal anomalies. A novel damage index (DI) mapping algorithm is designed specifically to approximate defect locations using a minimum of three PZT patches. The research confirmed that exciting the wave modes at a central frequency of 125 kHz minimises dispersion in the varying thickness sections of the blade. The proposed DI mapping approach effectively identifies abrasion sites without requiring complex signal processing techniques.
The importance of this work lies in strengthening predictive maintenance strategies for wind turbines by facilitating real-time monitoring and early intervention. Ultimately, this methodology advances non-destructive evaluation (NDE) techniques, promoting intelligent self-monitoring systems that enhance operational efficiency, reduce maintenance costs, and support sustainable energy generation.
Ultrasonic Guided Wave (UGW)-based Structural Health Monitoring (SHM) is a state-of-the-art approach for non-destructive testing, enabling remote detection of defects like corrosion and cracks, even in hard-to-access pipeline regions. This method exploits the interaction of guided waves with structural discontinuities, where reflections from any changes in the pipe’s cross-section serve as highly informative signals for pinpointing and evaluating damage severity. UGW-SHM is especially valuable for industries such as oil, gas, water utilities, and marine infrastructure, where conventional inspection techniques often struggle to ensure long-range integrity.
The research combines advanced Finite Element (FE) simulations with real-world experimental validation using full-scale steel pipe samples, strengthening the reliability of the findings. Two specialised probe types are employed—normal probes to excite flexural modes, and omnidirectional shear horizontal piezoelectric patches to selectively generate and analyse torsional modes, essential for comprehensively mapping defect responses. The investigation reveals that scattered waves are generally more sensitive to longitudinal (axial) damage compared to transverse flaws, influencing mode selection for specific defect detection.
These insights and innovations drive more accurate, early-stage detection and robust evaluation of pipeline condition, establishing UGW-based SHM as a highly effective, industry-relevant solution for preserving critical infrastructure.
Omni-directional SH PZT
Normal Probe