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A Class of Vector Fields for Path Following Guidance

Auditorium (AE 005), Department of Aerospace Engineering

With rapidly evolving application scenarios, Unmanned Aerial Vehicles (UAVs) are often desired to autonomously follow predefined paths. Prospective path following guidance methods should cater to the dynamic capability of the UAV, curvature variation along the path, and provide accurate performance while utilizing, preferably, a computationally inexpensive guidance logic. This thesis presents a class of vector […]

CyberSHM: A cyberphysical continuous monitoring technology for safety-critical structures

AE Auditorium

Continuous monitoring is crucial for ensuring the proper functioning and longevity of operational structures in safety-critical applications. To address, we are exploring the use of smart, self-sensing structures that combine edge computing, physics-informed and machine learning-enabled monitoring techniques. Of particular interest are thin-walled laminated composite structures with high-density cores and discontinuities that are especially challenging […]

Asymptotic Modelling of Carbon Nanotube (CNT) and CNT-reinforced composite structures using strain gradient formulations

STC Seminar Hall, Dept. of Aerospace Engineering

Carbon nanotubes (CNTs) have garnered attention for their remarkable mechanical, thermal, and electrical properties, making them valuable in various applications. CNTs are particularly advantageous in aerospace structures as reinforcements in polymer matrix composites, enhancing structural strength while reducing weight. Furthermore, they offer the potential for multifunctionality, integrating structural, thermal, and electrical functionalities within components like […]

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