Institution
Bauhaus University, Weimar
Education•Weimar, Thüringen, Germany•
About: Bauhaus University, Weimar is a education organization based out in Weimar, Thüringen, Germany. It is known for research contribution in the topics: Finite element method & Isogeometric analysis. The organization has 1421 authors who have published 2998 publications receiving 104454 citations. The organization is also known as: Bauhaus-Universität Weimar & Hochschule für Architektur und Bauwesen.
Topics: Finite element method, Isogeometric analysis, Graphene, Fracture mechanics, Thermal conductivity
Papers published on a yearly basis
Papers
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02 Dec 2009TL;DR: Memory-efficient and parallelizable algorithms for r *** 3, a sequential algorithm for 3-collisions, roughly using memory N *** and time N 1 *** *** for *** ≤ 1/3, and a generalisation of this second approach that can generate r -collisions roughly in time N ((r *** 1)/r ) *** s on every processor.
Abstract: An r -collision for a function is a set of r distinct inputs with identical outputs. Actually finding r -collisions for a random map over a finite set of cardinality N requires at least about N (r *** 1)/r units of time on a sequential machine. For r =2, memoryless and well-parallelizable algorithms are known. The current paper describes memory-efficient and parallelizable algorithms for r *** 3. The main results are: (1) A sequential algorithm for 3-collisions, roughly using memory N *** and time N 1 *** *** for *** ≤ 1/3. In particular, given N 1/3 units of storage, one can find 3-collisions in time N 2/3. (2) A parallelization of this algorithm using N 1/3 processors running in time N 1/3, where each single processor only needs a constant amount of memory. (3) A generalisation of this second approach to r -collisions for r *** 3: given N s parallel processors, with s ≤ (r *** 2)/r , one can generate r -collisions roughly in time N ((r *** 1)/r ) *** s , using memory N ((r *** 2)/r ) *** s on every processor.
30 citations
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TL;DR: In this article, the size and edge-effect cohesive energy and shear stress between two finite-sized graphene (graphene/graphenes), two CNTs (CNT/CNTs) and two nano-nibers (nanofiber/nanofibers) are obtained through continuum modeling of van der Waals interactions between them.
30 citations
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TL;DR: In this article, the authors investigated the possibility of making paraffin nanocomposites for better heat management of a Li-ion battery pack, where heat generation during a battery charging/discharging cycles was simulated using Newman's well established electrochemical pseudo-2D model.
Abstract: Lithium-ion Li-ion batteries are currently considered as vital components for advances in mobile technologies such as those in communications and transport. Nonetheless, Li-ion batteries suffer from temperature rises which sometimes lead to operational damages or may even cause fire. An appropriate solution to control the temperature changes during the operation of Li-ion batteries is to embed batteries inside a paraffin matrix to absorb and dissipate heat. In the present work, we aimed to investigate the possibility of making paraffin nanocomposites for better heat management of a Li-ion battery pack. To fulfill this aim, heat generation during a battery charging/discharging cycles was simulated using Newman’s well established electrochemical pseudo-2D model. We couple this model to a 3D heat transfer model to predict the temperature evolution during the battery operation. In the later model, we considered different paraffin nanocomposites structures made by the addition of graphene, carbon nanotubes, and fullerene by assuming the same thermal conductivity for all fillers. This way, our results mainly correlate with the geometry of the fillers. Our results assess the degree of enhancement in heat dissipation of Li-ion batteries through the use of paraffin nanocomposites. Our results may be used as a guide for experimental set-ups to improve the heat management of Li-ion batteries.
30 citations
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TL;DR: The gradient-enhanced damage is found to be the most probable model class with the lowest total model uncertainty and can serve as a platform for future investigations on uncertainties associated with damage modelling and hence the concerned countermeasures.
30 citations
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TL;DR: A novel hybrid model for predicting the compressive strength of concrete using ultrasonic pulse velocity (UPV) and rebound number (RN) and high correlated variables creator machine (HVCM) is used to create the new variables that have a better correlation with the output and improve the prediction models.
30 citations
Authors
Showing all 1443 results
Name | H-index | Papers | Citations |
---|---|---|---|
Timon Rabczuk | 99 | 727 | 35893 |
Adri C. T. van Duin | 79 | 489 | 26911 |
Paolo Rosso | 56 | 541 | 12757 |
Xiaoying Zhuang | 54 | 271 | 10082 |
Benno Stein | 53 | 340 | 9880 |
Jin-Wu Jiang | 52 | 175 | 7661 |
Gordon Wetzstein | 51 | 258 | 9793 |
Goangseup Zi | 45 | 153 | 8411 |
Bohayra Mortazavi | 44 | 162 | 5802 |
Thorsten Hennig-Thurau | 44 | 123 | 17542 |
Jörg Hoffmann | 40 | 200 | 7785 |
Martin Potthast | 40 | 190 | 6563 |
Pedro M. A. Areias | 38 | 107 | 5908 |
Amir Mosavi | 38 | 432 | 6209 |
Guido De Roeck | 38 | 274 | 8063 |