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Nakayama, S. (author)
The quality and business aspects are both of particular importance in determining the type of seismic acquisition. Usually, a strong emphasis on cost reduction is inevitable. On the other hand, there is an increasing demand for the acquisition of high-quality seismic data that can contribute to the various stages in the field development profile...
doctoral thesis 2020
document
Marquez Calvo, O.O. (author)
The exercise of solving engineering problems that require optimisation procedures can be seriously affected by uncertain variables, resulting in potential underperforming solutions. Although this is a well-known problem, important knowledge gaps are still to be addressed. For example, concepts of robustness largely differ from study to study,...
doctoral thesis 2020
document
Kammouh, O. (author), Nogal Macho, M. (author), de Bruijne, M.L.C. (author), Binnekamp, R. (author), Wolfert, A.R.M. (author)
Despite widespread attention for the governance of infrastructures and improvements of the way infrastructure assets are maintained, the interdependency of infrastructures is not often considered from a systemic maintenance and renovation perspective. In this context, the issue of unforeseen intervention delays is of particular relevance because...
conference paper 2020
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Szymula, Christopher (author), Bešinović, Nikola (author)
The performance and behaviour of critical infrastructure in case of disruptions is an important topic and we are still lacking of insights. Due to disruptions, infrastructure becomes unavailable and may force the trains and passengers to adapt. In this paper, we introduce a problem of railway network vulnerability from the perspective of...
journal article 2020
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Kocaman, E. S. (author), Chen, B. Y. (author), Pinho, S. T. (author)
Design and optimisation of large structures, including the positioning of lower-level components, typically require extensive user involvement and sequential mechanical analysis/optimisation iterations. This paper presents an original method that enables adaptive positioning of lower-level models (such as components) within higher level...
journal article 2020
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Blankert, Bastiaan (author), Vrouwenvelder, J.S. (author), Witkamp, Geert Jan (author), Ghaffour, Noreddine (author)
In this study, we analyzed the heat requirement of membrane distillation (MD) to investigate the trade-off between the evaporation efficiency and driving force efficiency in a single effect MD system. We found that there exists a non-zero net driving temperature difference that maximizes efficiency. This is the minimum net driving temperature...
journal article 2020
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Ahmadi, Arman (author), Nasseri, M. (author)
Hydrological models are simplified imitations of natural and man-made water systems, and because of this simplification, always deal with inherent uncertainty. To develop more rigorous modeling procedures and to provide more reliable results, it is inevitable to consider and estimate this uncertainty. Although there are different approaches...
journal article 2020
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de Bruin, T.D. (author), Kober, J. (author), Tuyls, Karl (author), Babuska, R. (author)
Deep reinforcement learning makes it possible to train control policies that map high-dimensional observations to actions. These methods typically use gradient-based optimization techniques to enable relatively efficient learning, but are notoriously sensitive to hyperparameter choices and do not have good convergence properties. Gradient...
journal article 2020
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Sedighiani, K. (author), Diehl, M. (author), Traka, K. (author), Roters, F. (author), Sietsma, J. (author), Raabe, D. (author)
A severe obstacle for the routine use of crystal plasticity models is the effort associated with determining their constitutive parameters. Obtaining these parameters usually requires time-consuming micromechanical tests that allow probing of individual grains. In this study, a novel, computationally efficient, and fully automated approach is...
journal article 2020
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Codrignani, A. (author), Savio, D. (author), Pastewka, L. (author), Frohnapfel, B. (author), van Ostayen, R.A.J. (author)
In this work we assess the applicability of the adjoint optimization technique for determining optimal surface topographies of two surfaces in relative motion in presence of a thin lubricant films that can cavitate. Among the existing numerical tools for topology optimization in engineering problems, the adjoint method represents a promising...
journal article 2020
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Conceicao Pereira, L. (author), Correia, Gonçalo (author), Tavares, José Pedro (author)
With automated vehicles (AVs), reversible lanes could be a sustainable transportation solution once there is vehicle-to-infrastructure connectivity informingAVs about the lane configuration changes. This paper introduced the reversible lane network design problem (RL-NDP), formulated in mixed-integer non-linear mathematical programming-both...
journal article 2020
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Atasoy, B. (author), Azevedo, Carlos Lima (author), Akkinepally, Arun Prakash (author), Seshadri, Ravi (author), Zhao, Fang (author), Abou-Zeid, Maya (author), Ben-Akiva, Moshe E. (author)
In this chapter, we present a methodological approach for Smart Mobility that integrates three key features: prediction, optimization, and personalization. They are integrated in such a way that when a travel menu is offered, predicted conditions are considered in the attributes of alternatives and optimized system-level policies are maintained....
book chapter 2020
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Doelman, R. (author)
Aberrations in optical systems, such as telescopes and microscopes, degrade the quality of the images that can be produced by these systems. For example, an object that is positioned out of focus produces a blurred image on a camera sensor and the turbulent air in the earth’s atmosphere reduces the imaging performance of telescopes. In this...
doctoral thesis 2019
document
Rubino, A. (author)
The need to meet the increasingly demanding sustainability goals entails remarkable new challenges for technical innovation. Due to the crucial role of turbomachinery in present and future energy scenarios, advancements in turbomachinery performance by means of design methods represent a fundamental step towards global sustainable development....
doctoral thesis 2019
document
Jovanov, K. (author)
Multi-disciplinary design optimization (MDO) is a field that has gained traction in recent years. It can be distinguished as a methodology that promotes a simultaneous change in design features associated to multiple disciplines in order to achieve the best possible design of a coupled multi-disciplinary problem. A typical application in...
doctoral thesis 2019
document
de Nijs, F. (author)
Intelligent autonomous agents, designed to automate and simplify many aspects of our society, will increasingly be required to also interact with other agents autonomously. Where agents interact, they are likely to encounter resource constraints. For example, agents managing household appliances to optimize electricity usage might need to share...
doctoral thesis 2019
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van de Weg, Goof Sterk (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), De Schutter, B.H.K. (author)
Freeway congestion can reduce the freeway throughput due to the capacity drop or due to blocking caused by spillback to upstream ramps. Research has shown that congestion can be reduced by the application of ramp metering and variable speed limits. Model predictive control is a promising strategy for the optimization of the ramp metering...
journal article 2019
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Haverkort, J.W. (author)
Using electrodes or catalytic layers that are porous increases the reactive surface area but also the distance that ions and electrons have to travel. Thicker electrodes, through their larger surface area, reduce the activation overpotential but increase the ohmic losses. There will therefore be an electrode thickness for which the voltage...
journal article 2019
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Wiegmans, B. (author), Champagne-Gelinas, Alex (author), Duchesne, Samuël (author), Slack, Brian (author), Witte, Patrick (author)
The main research problem has been analyzing and comparing the efficiencies of road and rail freight transport networks in different geographical contexts and derive policy suggestions from the results based on a dataset that spans multiple continents, covers multiple countries and covers a longer time period. For Europe, the benchmarking...
journal article 2019
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Pecci, Filippo (author), Abraham, E. (author), Stoianov, Ivan (author)
The optimal placement and operation of pressure control valves in water distribution networks is a challenging engineering problem. When formulated in a mathematical optimization framework, this problem results in a nonconvex mixed integer nonlinear program (MINLP), which has combinatorial computational complexity. As a result, the considered...
journal article 2019
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