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Free-vibration analysis of space vehicle structures made by composite materials
This work investigates the effects of composite materials and non-structural masses on the dynamic behavior of space structure components and whole space vehicle. A refined one-dimensional model has been used in the analyses, and the effects of composite materials and of the fuel mass introduced as non-structural masses have been considered. The adopted refined one-dimensional Finite Element Model has been developed using the Carrera Unified Formulation. This numerical tool allows to develop a variable kinematic displacement field over the beam cross-section, that is, a set of Lagrange (LE) expansions polynomials was adopted for the cross-sectional displacement field approximation. The use of such one-dimensional models leads to the so-called component-wise (CW) approach in which stiffeners and plate are modeled using the same one-dimensional kinematic. Static and free vibration analysis of space structural components and complete space structures have been performed. Both compact and thin-walled structural configurations have been considered. The results have been assessed using analytical solutions or refined three-dimensional Finite Element Models. Composite materials and non-structural masses, e.g. the fuel mass or payload, have been included in the analysis. The results show the capability of the present model to provide a quasi three-dimensional solution with a low computational cost. The refined kinematic allows composite materials to be investigated accurately
Measuring mobility and transport services: The METPEX project
Public transport is key to access social, economic, civic and cultural life. However, there is still a need to better understand (1) the needs of all transport users and (2) transport provision in cities and regions. The development of an inclusive, validated, passenger experience measurement instrument is the first step in understanding the whole journey, multi-modal journeys. Such a validated tool would enable resources to be focused on areas which travelers felt most important. Such information could be used to create high quality, user centred, integrated, accessible public transport services, capable of attracting and retaining public transport users whilst meeting sustainability targets. This paper describes the METPEX project and the derivation of a set of Key Performance Indicators
Innovative functionalized carbon fibers from waste: How to enhance polymer composites properties
Could Black Be the New Gold? Design-Driven Challenges in New Sustainable Luxury Materials for Jewelry
Electro-mechanical analysis of composite and sandwich multilayered structures by shell elements with node-dependent kinematics
Reconfigurable Antenna Systems: Platform implementation and low-power matters
Antennas are a necessary and often critical component of all wireless systems, of which they share the ever-increasing complexity and the challenges of present and emerging trends. 5G, massive low-orbit satellite architectures (e.g. OneWeb), industry 4.0, Internet of Things (IoT), satcom on-the-move, Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles, all call for highly flexible systems, and antenna reconfigurability is an enabling part of these advances. The terminal segment is particularly crucial in this sense, encompassing both very compact antennas or low-profile antennas, all with various adaptability/reconfigurability requirements. This thesis work has dealt with hardware implementation issues of Radio Frequency (RF) antenna reconfigurability, and in particular with low-power General Purpose Platforms (GPP); the work has encompassed Software Defined Radio (SDR) implementation, as well as embedded low-power platforms (in particular on STM32 Nucleo family of micro-controller). The hardware-software platform work has been complemented with design and fabrication of reconfigurable antennas in standard technology, and the resulting systems tested. The selected antenna technology was antenna array with continuously steerable beam, controlled by voltage-driven phase shifting circuits. Applications included notably Wireless Sensor Network (WSN) deployed in the Italian scientific mission in Antarctica, in a traffic-monitoring case study (EU H2020 project), and into an innovative Global Navigation Satellite Systems (GNSS) antenna concept (patent application submitted). The SDR implementation focused on a low-cost and low-power Software-defined radio open-source platform with IEEE 802.11 a/g/p wireless communication capability. In a second embodiment, the flexibility of the SDR paradigm has been traded off to avoid the power consumption associated to the relevant operating system. Application field of reconfigurable antenna is, however, not limited to a better management of the energy consumption. The analysis has also been extended to satellites positioning application. A novel beamforming method has presented demonstrating improvements in the quality of signals received from satellites. Regarding those who deal with positioning algorithms, this advancement help improving precision on the estimated position
In-situ TiC particle reinforced TiCuZrNi brazing alloy for joining C/C composites to Ti6Al4V
Real-time fire segmentation via Active Contours for UAV integrated wildfire propagation prediction
Accurate wildfire spread prediction is a key element in planning effective ground and aerial operations. Because of the underlying complex dynamic multi-physics processes driving the forest fire phenomena and the high number of parameters involved, finding an analytical solution is a challenging task. Current operational wildfire spread simulators, used by national governmental agencies are FARSITE, PROMETHEUS, PHOENIX RapidFire. These tools are based on empirical models developed and tuned using laboratory and historical wildfire data. This aspect makes the solution provided by these simulators inaccurate over long periods of time. To overcome these limitations, a closed loop architecture, where real time field measurements are fed back into the system, is the most promising solution. In this scenario, the use of an unmanned platform considerably reduces the risk associated with flying a manned aircraft in a low visibility and extremely turbulent air and improves the on-board Electro- Optical (EO) sensor effectiveness by flying at very low altitudes. In this paper a robust fire segmentation algorithm for wildfire front tracking is presented. This algorithm is based on the solution of Partial Differential Equations (PDE) to model a time evolving curve. An efficient implementation of the Level Set method enables the algorithm to fulfil real time requirements. Flight tests over a prescribed burn have been carried out to collect real data about the fire dynamics and to validate the algorithm and to test its robustness