A5021852122- Structural Health Monitoring Techniques
- Composite Structure Analysis and Optimization
- Optical measurement and interference techniques
- Mechanical Behavior of Composites
- Advanced Measurement and Metrology Techniques
- Smart Materials for Construction
- Ultrasonics and Acoustic Wave Propagation
- Icing and De-icing Technologies
- Adrenal and Paraganglionic Tumors
- Advanced Measurement and Detection Methods
- Explainable Artificial Intelligence (XAI)
- Tribology and Lubrication Engineering
- Bladed Disk Vibration Dynamics
- Advanced MEMS and NEMS Technologies
- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
- Radiomics and Machine Learning in Medical Imaging
- Aeroelasticity and Vibration Control
- Vibration and Dynamic Analysis
- 3D Surveying and Cultural Heritage
- Advanced Fiber Optic Sensors
- Technology Assessment and Management
- Additive Manufacturing and 3D Printing Technologies
- Environmental Impact and Sustainability
- Value Engineering and Management
University of Patras
2023-2025
Technische Universität Dresden
2014-2024
University Hospital Carl Gustav Carus
2023
Pheochromocytomas and paragangliomas have up to a 20% rate of metastatic disease that cannot be reliably predicted. This study prospectively assessed whether the dopamine metabolite, methoxytyramine, might predict disease, predictions improved using machine learning models incorporate other features, how learning-based compare with made by specialists in field.
The sustainability evaluation of engineering processes and structures is a multifaceted challenge requiring the integration diverse often conflicting criteria. To address this challenge, Multi-Criteria Decision-Making (MCDM) methods have emerged as effective tools. However, selection most suitable MCDM approach for problems involving multiple criteria critical to ensuring robust, reliable, actionable outcomes. Equally significant choice proper normalization technique, which plays pivotal...
The current prevailing trend in design across key sectors prioritizes eco-design, emphasizing considerations of environmental aspects the process. present work aims to take a significant leap forward by proposing process where sustainability serves as primary driving force. In this context, is positioned fundamental component be integrated into initial stages design, introducing innovative multidisciplinary criteria that redefine paradigm. Within framework, characterized using comprehensive...
This study optimizes the structural design of a composite wing shell by minimizing mass and maximizing first natural frequency. The analysis focuses on effects polyvinyl chloride (PVC) foam thickness fiber orientation angle inner carbon layers, with outer layers fixed at ±45° for torsional rigidity. A Multi-Objective Genetic Algorithm (MOGA), well suited complex engineering problems, was employed alongside Design Experiments to develop precise response surface model, achieving predictive...
Eco-design is an innovative design methodology that focuses on minimizing the environmental footprint of industries, including aviation, right from conceptual and development stages. However, rising industrial demand calls for a more comprehensive strategy wherein, beyond considerations, competitiveness becomes critical factor, supported by additional pillars sustainability such as economic viability, circularity, social impact. By incorporating primary driver at initial stages, this study...
Interpretation of plasma metanephrines and methoxytyramine to assess likelihood phaeochromocytoma/paraganglioma (PPGL) during screening can be challenging. This study (study period: 2021-2023) introduces new methods select machine-learning (ML) models evaluate derived probability-scores better interpret laboratory results. ML were trained internally tested using data from 2046 patients with without PPGL according several features: age, pre-test risk PPGL, methoxytyramine. External validation...
Integration of functional elements into fibre-reinforced host structures provides the possibility for in situ monitoring structural integrity critical components. In this study, a vibration-based function has been developed that allows identification For purpose, signal analysis algorithms were to enable estimation damage-dependent modal damping. The analysed smart structure was carbon fibre–reinforced epoxy composite plate with an integrated actuating/sensing system. local material damping...
Future mobility applications are characterized by a high level of resource efficiency due to the application novel lightweight materials and function‐integrating, multi‐material design concepts. Textile thermoplastic composites in particular pave way for components highly specific mechanical properties efficient production processes. This essay presents strategy pursued Collaborative Research Centre SFB 639 “Textile‐reinforced composite function‐integrating complex applications”, concept...
Abstract Function‐integrative lightweight engineering represents an essential element in modern design methods. Currently, there is a great need for the incorporation of sensors, actuators and electronics novel, demand‐oriented components. In contrast to subsequent, mostly adhesive bonding, structural integration offers numerous advantages, example terms space requirements robustness. This paper demonstrates potential integrated sensors various industrial sectors based on selected examples...
Damage identification of composite structures is a major ongoing challenge for secure operational life-cycle due to the complex, gradual damage behaviour materials. Especially rotors in aero-engines and wind-turbines, cost-intensive maintenance service has be performed order avoid critical failure. A advantage that they are able safely operate after initiation under propagation. Therefore, robust, efficient diagnostic method would allow monitoring process with intervention occurring only...
A sustainable future requires products to be recyclable. An important process in recycling is shredding where materials joined multi-material structures are liberated or detached. Until now, no physics-based models exist describe processes adequately. The proposed approach uses finite element simulations model the of a structure (steel and fiber-reinforced polymers with an adhesion joint) rotary shredder based on previous experimental investigations. Simulations successfully replicate...
Abstract Light‐emitting complex defects in silicon have been considered a potential platform for quantum technologies based on spin and photon degrees of freedom working at telecom wavelengths. Their integration devices is still its infancy has mostly focused light extraction guiding. Here the control electronic states carbon‐related impurities (G‐centers) addressed via strain engineering. By embedding them patches insulator topping with SiN, symmetry breaking along [001] [110] directions...
Fibre-reinforced composite structures under complex loads exhibit gradual damage behaviour with degradation of effective mechanical properties and change their structural dynamic behaviour. In case rotors, this can lead to catastrophic failure if an eigenfrequency is met by the rotational speed. The description simulation analysis rotors therefore provides fundamentals for a first understanding partially-unpredicted phenomena. Therefore, tool developed using finite element model, which...
Most products in automotive, aerospace, and household appliance industry are multi-material structures. Materials connected through a variety of joining techniques with the aim optimizing performance during production operation phase. However, recycling end-of-life phase, different materials combined structures need to be liberated, e.g. disconnected, separated again enable high material recoveries. Typical approaches use shredding technologies liberate materials. Efficient liberation...
The unique potential to integrate functional elements into fibre-reinforced components combined with the recent progress in simulation models of composite materials provides new perspectives for reliability improvement next generation components. Such combination is presented on example a carbon-fibre reinforced plate integrated vibration measurement and excitation systems. investigated structure was consolidated an adapted resin transfer moulding process using additional layers positioning,...
Fibre-reinforced composite structures subjected to complex loads exhibit gradual damage behaviour with the degradation of effective mechanical properties and changes in their structural dynamic behaviour. Damage manifests itself as a spatial increase inter-fibre failure delamination growth, resulting local stiffness. These affect not only residual strength but, more importantly, In case rotors, this can lead catastrophic if an eigenfrequency coincides rotational speed. The description...
With the advancing energy transition, icing is a growing problem in wind turbine sector. The development of systems to detect and mitigate makes it necessary understand its basic behavior characteristics. This paper proposes method for continuous full-field measurement process rotating blades, using single line laser profile scanner. Inside climate chamber, rotor driven by motor, while system nozzles provides fine water dust, which leads ice accumulating on simple NACA turn measured...
For steel bridges, corrosion has historically led to bridge failures, resulting in fatalities and injuries. To enhance public safety prevent such incidents, authorities mandate in-situ evaluation reporting of corroded members. The current inspection protocol is characterized by intense labor, traffic delays, poor capacity predictions. Here we combine full-scale experimental testing a decommissioned girder, 3D laser scanning, convolutional neural networks (CNNs) introduce continuous...
Abstract Corrosion poses a significant threat to the longevity of steel bridges, impacting overall structural integrity. To effectively assess condition corroded conventional methods rely on visual inspections or single point measurements. enhance and modernize this approach, study introduces novel framework integrating laser scanning data, computational models, convolutional neural networks (CNNs). The CNN models are trained data set consisting more than 1400 artificial corrosion scenarios...