Accepted Special Technology Sessions – Provisional list
STS233 Advanced Computational Physics /Computational Mathematics methods and tools for improving a Climate Neutral Digitalized Transport
R&I Computational Physics/Computational Mathematics results to be presented in this STS by invited scientists, technologists and meteorologists will consider the minimisation of aviation CO2 and non-CO2 emissions with following targets: i) increase the scientific understanding related to the contribution of aviation Greenhouse gas emissions to climate change, ii) increase performances of multi engines distributed propulsion particle emissions characterisation, iii) achieve better performances with hydrogen and aviation synthetic fuel reducing further non-CO2 missions, or iv) characterize better the contrail formation and effects and provide more insight in the aviation NOx emissions and ozone formation. v) develop further real-time decision-support software for airlines and ATM, to predict the location and global warming impact of contrail and contrail cirrus formation This STS will provide the audience with innovative methods and tools in different i) -v) sectors recent studies showing the decrease of CO2 – non CO2 emissions and the cost-effective mitigation measures and computations resolving uncertainty short term or long terms climate impact.
Keywords: aviation CO2 emissions, aviation non-CO2 emissions, cirrus formation
Both the United Nations climate conference of Paris in December 2015 and Europe's Vision for Aviation 'Flightpath 2050' sets have set a target of 75% reduction of specific fuel consumption by 2050, compared to the standard for civil aviation in 2000. To achieve this ambitious goal, we need to work on three topics: improvement of engine efficiency, reduction of the aircraft weight, and aerodynamic drag reduction. In this session, we cover some aspects of the last topic, the reduction of aerodynamic drag. The latter consists of two main components: lift-independent (friction or viscous) drag and lift-dependent or induced drag. Both drag components will be addressed in the session. Regarding friction drag reduction, we present new developments of the application of natural laminar flow. We will consider forward-swept wings, which make it easier to keep the attachment line laminar. Furthermore, we take a look at a backward-swept, laminar wing with a reduced chord which is complemented by a larger span. This approach combines two advantages. The smaller chord-Reynolds number makes it easier to achieve and maintain laminar flow, and the increased span reduces the induced drag. Then we will present the latest results of Clean Aviation regarding hybrid laminar flow control applied to wing and horizontal tail plane. In the second part of the session, we address new structural concepts combined with advanced load alleviation, which have a great potential to allow for a lighter wing with increased span, and, thus, reduce lift-dependant drag. A fuel burn reduction of 30 % compared to the state-of-the-art reference Aircraft A321neo is expected.
Keywords: Drag Reduction, Friction Drag, Induced Drag, Laminar Flow, Wing Span Extension
STS236 STS: Advancing Healthcare through Computational and Structural Modeling: Challenges and Opportunities
Abstract: The Special Technology Session (STS) within the ECCOMAS conference is dedicated to exploring the multifaceted world of computational modeling in the context of blood flow and structural dynamics and its profound impact on healthcare. Blood flow and pressure is a critical element in numerous physiological processes, and accurate simulation and analysis are imperative for understanding, diagnosing, and treating a wide range of medical conditions. Structural modeling introduces new dimensions, offering exciting possibilities to enhance our comprehension and healthcare applications. This STS will feature presentations focusing on distinct facets of computational modeling of human arteries and structural dynamics in healthcare. The sessions will delve into the cutting-edge advancements, challenges, and opportunities in this interdisciplinary field. Participants will gain insights into state-of-the-art modeling techniques, computational methodologies, and their real-world applications across various medical domains.
Keywords: blood flow, Computational medicine
With an increased interest in electrification for aviation, attention is drawn to optimizing the overall aircraft/engine thermal management, which involves designing more efficient heat exchangers (HEX). In this STS, various technologies and software available for both design and optimization of cold-plate HEXs will be discussed and reviewed. The focus would be on methods that can both analyze the heat sources that represents power electronics components for aviation applications and also design new novel geometries to address the cooling requirements. One of the key technologies we would like to discuss is the thermal-fluid topology optimization  for HEXs for turbomachinery jet-engine applications. Some of the Key technologies for an optimum design of HEXs would be hi-fidelity conjugate CFD simulation, automatic meshing of very complex geometries, multi-physics simulation, advances in Additive-layering Manufacturing (ALM) as well as testing and experimentation to support the design. Novel shapes resulting from topology optimization that could only be manufactured using ALM will also be exhibited and discussed. Furthermore, we explore how these technologies can be extended to other design problem like the optimum fuel passages for PEMFCs (Hydrogen Fuel Cells), etc. Presentations are also expected from an ongoing R&D work as part of the EU Horizon Europe project NextAir to produce a fully-fledged Digital Twin of a Heat-Exchanger . References:  Raske, N, Ausin Gonzalez, O, Furino, S, Pietropaoli, M, Shahpar, S, & Montomoli, F. "Thermal Management for Electrification in Aircraft Engines: Optimization of Coolant System." Proceedings of the ASME Turbo Expo 2022, Netherlands. June, 2022. V06BT13A013. ASME. https://doi.org/10.1115/GT2022-82538  NEXTAIR - multi-disciplinary digital - enablers for NEXT-generation AIRcraft design and operations, (WP6: Digital Twin of a HEX) - DOI: 10.3030/101056732, Sept 2022.
Keywords: AI- Machine-learning, ALM, Hydrogen fuel cells, Multi-physics simulation, Topology Optimisation
Efficient transportation of perishable goods, such as food and medicine, poses substantial challenges in maintaining their quality and timely delivery. This session aims to address these hurdles by introducing innovative computational and technological solutions. In this session, we will delve into enhanced logistics planning strategies that leverage cutting-edge machine learning methods. By harnessing predictive analytics and adaptive algorithms, we aim to develop transport route planning, minimizing transit times and mitigating environmental impact. The session will showcase a diverse range of research endeavors and practical implementations, emphasizing the crucial role of technology in elevating the standards of transporting perishable goods. Join us as we explore pioneering advancements in transportation technology and logistics management, setting the stage for more sustainable and efficient delivery systems for essential goods.
Keywords: Artificial Intelligence, cold chains, Optimization, transport
This Special Technology Session Focuses on the Significance of XAI (Explanatory Artificial Intelligence) in Product Development within the Industry. Our goal is to explore various aspects of why explainability holds such a crucial role in this context, accompanied by real-life use cases. The primary objectives of this STS session are to provide a comprehensive perspective on the necessity of elucidating artificial intelligence algorithms, to showcase available tools and methods, and to illustrate the potential outcomes achievable through the implementation of XAI. The STS serves as a platform for discussing this topic, which continues to be relatively uncharted territory with limited definitive answers.
Keywords: Computational Sciences, Explanatory Artificial Intelligence, XAI
STS267 The impact of Multi-Disciplinary Optimization, Artificial Intelligence and Uncertainty Quantification for a Greener Aviation and Transport system
Industrial design is facing new challenges in a world threaten by global warming, economical and geo-political instability. In this contest, the need of decreasing emissions in air, for all the activities related to aviation, transport and renewable energy, has become an utmost priority, also considering the commitments made by the European Commission for the next years. In particular, net greenhouse gas emissions will have to be reduced by at least 55% by 2030, and at the same time it will be necessary to fulfil the growing energy demand of all the EU industrial countries. Following this perspective, the new emerging technologies in Industrial design, many of them already developed in the framework of several European Programme of Research & Innovation projects, need to reach soon a TRL of over 8-9 level, which means that they need to be implemented in a complete and qualified system, ready for the commercialization. This STS addresses all the emerging technologies which aim to reach a greener transition of the industrial design, and includes in a non-exhaustive way efficient Multi-Disciplinary Optimization (MDO) methodologies, Design based on Artificial Intelligence, whether by Surrogate Models, Machine Learning, Reduced Order Models or Multi-Fidelity Models, and Robust Design or Design under Uncertainties. This STS invites experts from industry, research institutions and universities, to present their recent studies and applications of the new emerging technologies above mentioned in the design of greener, more efficient and more sustainable aviation and transport systems, or renewable energy.
Keywords: Artificial Intelligence, multidisciplinary analysis and optimisation (MDAO), Robust Design
Within the framework of the European Project SSECOID: Stability and Sensitivity Methods for Flow Control and Industrial Design, this Special Technology Sessions (STS) aims to uncover ongoing advances in numerical and computational methods for fluid mechanics. This broad goal encloses not only the development of standard numerical schemes for the integration of the Navier Stokes equations, but also state-of-the-art Lattice Boltzmann or the difficulties and progress in the application of high-order schemes to more realistic industrial configurations, in particular the implementation of prevailing methods in present and future computational platforms, with an eye on exascale computing. Moreover, the huge amount of data generated by numerical tools needs further postprocessing: data assimilation methods and machine learning as a way to obtain the flow sensitivity under perturbation, eventually linked to stability, optimization and control, can provide very valuable information about the flow. Several algorithms, such as DMD, POD, SPOD or Resolvent can obtain very important information that helps to identify relevant features, which are critical to understand the flow behaviour and, finally, will provide valuable information to control it. New developments and application of those methodologies to feature detection, optimization strategies and control are welcome.
Keywords: Industrial design, Sensitivity methods, Stability
The aviation sector presently accounts for over 2% of global greenhouse gas (GHG) emissions, and this contribution is steadily rising. Without additional interventions, carbon dioxide (CO2) emissions from international aviation could surge nearly fourfold by 2050 compared to 2010. It is a collective responsibility of the scientific community and the aeronautical industry to pioneer novel, more efficient designs. In the pursuit of enhanced efficiency and environmental responsibility, numerical simulation techniques, such as Computational Fluid Dynamics (CFD), are emerging as pivotal tools in aeronautical design. These tools will be the linchpin differentiating success from failure. Nevertheless, despite the current integration of CFD in the design process, there exists a pressing need to elevate the capabilities of existing numerical simulation tools tailored for aeronautical design. This entails a transformative shift toward re-engineering these tools to harness the power of extreme-scale parallel computing platforms. This strategic transition will empower the aerospace industry to leverage High-Performance Computing (HPC) within the design loop, a crucial step toward achieving the performance and environmental objectives outlined in the European Union's ambitious targets. The present mini symposium will be focused on the efforts to address this challenge. The topics of interest are related to improving the convergence of current numerical algorithms; adaptive mesh refinement algorithms; increase the maturity of HoM; overcome barriers to achieving extreme scale computing (load balancing, communication patterns, GPU integration, etc.); development of algorithms for data management, visualisation and modelling and benchmarking of large-scale aeronautical applications.
Keywords: aeronautical applications, AMR, GPUs, LES, SEM/FR/DG, extreme scaling, FVM/FE
Additive Manufacturing (AM) technologies are undergoing exponential growth in many engineering fields, from aerospace to biomedical applications, from fashion to the food industry. AM technologies promise to revolutionize the world of manufacturing due to their capability to produce close-to-freeform components with structural and mechanical properties close to or even superior to the ones obtained using traditional manufacturing processes. In fact, thanks to the recent advancements in many AM technologies, manufacturing constraints are dramatically reduced and the designer can finally focus on the intended application of the part rather than on its manufacturability. However, the widespread adoption of AM in many industrial sectors is yet hindered by the low reproducibility and standardization of the process. Therefore, the present Symposium aims to present and discuss the most recent efforts in the world of industry toward a deeper control and understanding of AM processes. The Symposium addresses, but is not limited to, the following topics: • Standards and certification • Process modeling • Material modeling • Metrology and sensing techniques • Uncertainty quantification • Benchmarking and Validation
Keywords: Additive Manufacturing, Manufacturing processes, Material modelling, Uncertainty quantification (UQ), Validation
STS proposed for: Special Technology Sessions (STS) on Greening of Aviation, Transport and Renewable Energy Title: HAR wing design and development for an SMR aircraft Chairs: Jos Vankan (NLR), Bruno Stefes (Airbus), see affiliations below Abstract: Sustainable aviation is a major challenge that requires technology developments in many different areas. One important area is the reduction of green-house gas (GHG) emissions, which is directly related to aircraft operations and energy efficiency. One of the key components for improving aircraft efficiency is drag reduction, and increased wing aspect ratio is a key enabler for that. Therefore this STS will focus on technologies for design and development of high aspect ratio (HAR) wings for short- and medium range (SMR) aircraft. This category of aircraft is responsible for a major contribution in aviation GHG emissions and is therefore important to address. At the same time, these aircraft have high-tech wings with advanced aerodynamics, optimized structures and complex integration of primary and secondary flight controls. The further improvement of these high-tech wings requires advanced modelling, innovative computational methods and design tools for all required technology areas. In particular, increasing the wing aspect ratio will require special attention for load control, for which combined numerical-experimental investigations are being pursued for example in the Clean Aviation UP Wing project. The STS will invite papers on the design, modelling, analysis, testing, validation, manufacturing and assembly of all the relevant technologies that are involved in the development of these advanced high-aspect ratio wings. Chairs’ affiliations: Dr.ir. Jos Vankan Principal scientist Royal Netherlands Aerospace Centre NLR Aerospace Vehicles Division, Collaborative Engineering Systems Department Anthony Fokkerweg 2, 1059 CM Amsterdam, The Netherlands T +31-88-5113059 | E email@example.com | W www.nlr.nl Dr.Ing. Bruno Stefes Flight Physics Airbus Operations GmbH - Bremen, Germany M +49 172 4032258 | E firstname.lastname@example.org
Keywords: aerodynamics, elastic structures, high-aspect ratio, loads control, short-medium range aircraft
The proposed STS will cover computational methodologies and their applications to aircraft design with particular interest in technologies available for next-generation aircraft such as a "greener" aviation to mitigate an environmental impact. Examples of the computational methodologies include multi-objective design optimization, multi-physics simulation including fluid-structure interaction analysis, (unsteady) aerodynamic simulation, and geometrically nonlinear and/or material nonlinear analysis of structures. The application of these methodologies may include but are not limited to a reduction of the airframe weight by utilizing carbon-fiber-reinforced plastics (CFRPs) and/or thermoplastics (CFRTPs), optimization of the stacking sequence of CFRPs, a reduction of the aerodynamic drag by laminarization technology, and design constraints considering flutter and buffet boundaries by fluid-structure interaction analyses. Furthermore, presentations from industries and governmental organizations are also welcome to introduce a current status and potential problems on the development of aircraft with existent simulation technologies. Finally, we will not limit our scope to the examples above and encourage participants to propose a wide range of possible simulation technologies and frameworks that would benefit the development of a new-generation aircraft.
Keywords: multi-objective design optimization, multi-physics simulation, aeronautical applications, Aircraft design, Structural optimization