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Pasquariello, Vito (author), Bunk, Y.L. (author), Eberhardt, S. (author), Huang, Pei-Hsuan (author), Matheis, Jan (author), Ugolotti, Matteo (author), Hickel, S. (author)
The demand for fast, high-fidelity, scale-resolving computational fluid dynamics (CFD) simulations is continuously growing. Especially new emerging aviation technologies, such as electrical vertical take-off and landing aircraft (eVTOL), strongly rely on advanced numerical methods to retain development life-cycle costs and achieving design...
conference paper 2023
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Zaghari, Bahareh (author), Kiran, Abhishek Kiran (author), Sinnige, T. (author), Pontika, Evangelia (author), Enalou, Hossein B. (author), Kipouros, Timoleon (author), Laskaridis, Panagiotis (author)
Novel propulsion systems have been studied in literature to reduce aircraft emissions with hydrogen or other electrical energy sources. Hybrid Electric Propulsion (HEP) system consists of electric machines as an alternative way to provide power for propulsion resulting in the reduction of aircraft fuel consumption. While reduction of emission is...
conference paper 2023
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Pineau, Sofiane (author), Theodoulis, S.T. (author), Zasadzinski, Michel (author), Boutayeb, Mohamed (author), Roussel, Emmanuel (author)
This article covers the design of an L1-adaptive Incremental Nonlinear Dynamic Inversion (INDI) autopilot applied to the control of the ballistic trajectory of a 155mm dual-spin projectile supplied with a roll-decoupled course-correction fuze. Associated with a Zero Effort Miss guidance law, the discrete-time INDI baseline successfully controls...
conference paper 2023
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Ritter, Markus (author), Fehrs, Michael (author), Mertens, C. (author)
The Pazy Wing test case is a benchmark for the investigation of aeroelastic effects at very large deflections. Tip deformations in the order of 50% span were measured in wind tunnel tests which renders this model highly attractive for the validation of numerical aeroelastic methods and tools for geometrically nonlinear, large deflection analyses...
conference paper 2023
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Rudd, Michelle Tillotson (author), Schultz, Marc R. (author), Gardner, Nathaniel W. (author), Kosztowny, Cyrus J. R. (author), Bisagni, C. (author)
Launch-vehicle shell structures, which can be comprised of both cylindrical and conical sections, are known to be susceptible to buckling due to their large radius-to-thickness ratios. The advancements in composite manufacturing and numerical methods have enabled designers to consider more nontraditional shapes, such as connecting the conical...
conference paper 2023
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Karimi, Saber (author), Mohammadikalakoo, B. (author)
The current numerical study is dedicated to investigating the effect of passive, active, and combined flow control techniques on the performance of the vehicles in different maneuvers including, platoon and overtaking on critical highway velocity (70 miles per hour) for a reference bluff body vehicle called Ahmed body. The target passive flow...
conference paper 2023
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Bayraktaroglu, H. (author), Hicks, M.A. (author), Korff, M. (author)
In this paper, a state-dependent semi-micromechanical framework for anisotropic sands is proposed. A simple constitutive model based on critical state theory and bounding surface (BS) plasticity is used to describe idealized micro-level soil behaviour, and a slip theory based multilaminate framework employed to create a link between the micro...
conference paper 2023
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Ramesh Kumar, K. (author), Tasinafo Honório, H. (author), Hajibeygi, H. (author)
Successful transition to renewable energy supply depends on the development of cost-effective large-scale energy storage technologies. Renewable energy can be converted to (or produced directly in the form of) green gases, such as hydrogen. Subsurface formations offer feasible solutions to store large-scale compressed hydrogen. These...
conference paper 2023
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Zhang, A. (author), Dieudonné, A.A.M. (author)
Microbially induced carbonate precipitation (MICP) involves bacteria to drive calcite precipitation and naturally cement soils, thereby improving soils performance. Experimental studies have shown that bio-cemented specimen can suffer from severe spatial inhomogeneity of the calcite content, leading to large uncertainty in treatment...
conference paper 2023
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Botros, Alexander (author), Sadeghi, Armin (author), Wilde, N. (author), Alonso Mora, J. (author), Smith, Stephen L. (author)
Many problems in robotics seek to simultaneously optimize several competing objectives under constraints. A conventional approach to solving such multi-objective optimization problems is to create a single cost function comprised of the weighted sum of the individual objectives. Solutions to this scalarized optimization problem are Pareto...
conference paper 2023
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Lesueur, M.J.B.P. (author), Zhang, X. (author), Poulet, Thomas (author), Veveakis, Manolis (author)
The seminal work of Gurson (J Eng Mater Technol 99:2–5, 1977) on a simplified pore structure, a single spherical pore, first provided a theoretical relationship between the yield stress and the porosity. This contribution extends the approach to determine the macroscopic yield of a porous material by taking explicitly into account its...
conference paper 2023
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Buzcu, Berk (author), Varadhajaran, Vanitha (author), Tchappi, Igor (author), Najjar, Amro (author), Calvaresi, Davide (author), Aydoğan, Reyhan (author)
People’s awareness about the importance of healthy lifestyles is rising. This opens new possibilities for personalized intelligent health and coaching applications. In particular, there is a need for more than simple recommendations and mechanistic interactions. Recent studies have identified nutrition virtual coaching systems (NVC) as a...
conference paper 2023
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Yesevi, Gevher (author), Keskin, M.O. (author), Doğru, Anıl (author), Aydoğan, Reyhan (author)
In agent-based negotiations, it is crucial to understand the opponent’s behavior and predict its bidding pattern to act strategically. Foreseeing the utility of the opponent’s coming offer provides valuable insight to the agent so that it can decide its next move wisely. Accordingly, this paper addresses predicting the opponent’s coming...
conference paper 2023
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Tejedor Romero, M. (author), Murukannaiah, P.K. (author), Gimenez-Guzman, Jose Manuel (author), Marsa Maestre, I. (author), Jonker, C.M. (author)
Channel allocation in dense Wi-Fi networks is a complex problem due to its nonlinear and exponentially sized solution space. Negotiating over this domain is a challenge, since it is difficult to estimate opponent’s utility. Based on our previous work in mediated techniques, we propose the first two fully-distributed multi-agent negotiations...
conference paper 2023
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van Zoelen, E.M. (author), van den Bosch, Karel (author), Abbink, D.A. (author), Neerincx, M.A. (author)
When humans and AI-agents collaborate, they need to continuously learn about each other and the task. We propose a Team Design Pattern that utilizes adaptivity in the behavior of human and agent team partners, causing new Collaboration Patterns to emerge. Human-AI Co-Learning takes place when partners can formalize recognized patterns of...
conference paper 2023
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Mirra, M. (author), Ravenshorst, G.J.P. (author)
The region of Groningen (NL) has experienced increasing human-induced seismicity caused by gas extraction in the last decades. The local building stock, not designed for seismic loads, consists for more than 50% of unreinforced masonry buildings with timber diaphragms. In this context, a detailed seismic characterization of timber and masonry...
conference paper 2023
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Meijer, Wo (author)
This paper documents a method for collecting user feedback on broken or malfunctioning devices dubbed Destructive Feedback; where the user deliberately “breaks” the device by removing an affordance. This makes it easier to detect visually and with sensors, as well as discourages others from using a broken device. This method is inspired by...
conference paper 2023
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Katare, D. (author), Kourtellis, Nicolas (author), Park, Souneil (author), Perino, Diego (author), Janssen, M.F.W.H.A. (author), Ding, Aaron Yi (author)
A machine learning model can often produce biased outputs for a familiar group or similar sets of classes during inference over an unknown dataset. The generalization of neural networks have been studied to resolve biases, which has also shown improvement in accuracy and performance metrics, such as precision and recall, and refining the dataset...
conference paper 2023
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Gonzalez Acosta, J.L. (author), van den Eijnden, A.P. (author), Hicks, M.A. (author)
Soil liquefaction is investigated considering a saturated soil deposit and by implementing standard techniques of random field theory to distribute initial void ratio values and assess liquefaction risk. The soil domain is represented in a 2-dimensional (2D) random finite element model for the dynamic analysis of coupled behavior. Multiple...
conference paper 2023
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Zhang, Z. (author), Wang, Y. (author), Vuik, Cornelis (author), Hajibeygi, H. (author)
We present an efficient compositional framework for simulation of CO2 storage in saline aquifers with complex geological geometries during a lifelong injection and migration process. To improve the computation efficiency, the general framework considers the essential hydrodynamic physics, including hysteresis, dissolution and capillarity, by...
conference paper 2023
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