scispace - formally typeset
Search or ask a question
Institution

Bauhaus University, Weimar

EducationWeimar, 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.


Papers
More filters
Journal ArticleDOI
TL;DR: This study aims to develop an approach to couple a computational fluid dynamics (CFD) solver to the University of California, Berkeley (UCB) thermal comfort model to accurately evaluate thermal comfort.
Abstract: This study aims to develop an approach to couple a computational fluid dynamics (CFD) solver to the University of California, Berkeley (UCB) thermal comfort model to accurately evaluate thermal comfort. The coupling was made using an iterative JavaScript to automatically transfer data for each individual segment of the human body back and forth between the CFD solver and the UCB model until reaching convergence defined by a stopping criterion. The location from which data are transferred to the UCB model was determined using a new approach based on the temperature difference between subsequent points on the temperature profile curve in the vicinity of the body surface. This approach was used because the microclimate surrounding the human body differs in thickness depending on the body segment and the surrounding environment. To accurately simulate the thermal environment, the numerical model was validated beforehand using experimental data collected in a climate chamber equipped with a thermal manikin. Furthermore, an example of the practical implementations of this coupling is reported in this paper through radiant floor cooling simulation cases, in which overall and local thermal sensation and comfort were investigated using the coupled UCB model.

32 citations

Journal ArticleDOI
01 Jun 2016
TL;DR: A natural extension of two‐dimensional parallel‐coordinates plots for revealing relationships in time‐dependent multi‐attribute data by building on the idea that time can be considered as the third dimension is presented.
Abstract: We present a natural extension of two-dimensional parallel-coordinates plots for revealing relationships in time-dependent multi-attribute data by building on the idea that time can be considered as the third dimension. A time slice through the visualization represents a certain point in time and can be viewed as a regular parallel-coordinates display. A vertical slice through one of the axes of the parallel-coordinates display would show a time-series plot. For a focus-and-context Integration of both views, we embed time-series plots between two adjacent axes of the parallel-coordinates plot. Both time-series plots are drawn using a pseudo three-dimensional perspective with a single vanishing point. An independent parallel-coordinates panel that connects the two perspectively displayed time-series plots can move forward and backward in time to reveal changes in the relationship between the time-dependent attributes. The visualization of time-series plots in the context of the parallel-coordinates plot facilitates the exploration of time-related aspects of the data without the need to switch to a separate display. We provide a consistent set of tools for selecting and contrasting subsets of the data, which are important for various application domains.

32 citations

Journal ArticleDOI
TL;DR: In this article, the particle-based NOM was converted into a scheme with approximation property, where partial derivatives of various orders at a point by the nodes in the support and takes advantage of the background mesh for numerical integration.

32 citations

Journal ArticleDOI
TL;DR: A methodological framework for robust and efficient prediction strategies for complex aerodynamic phenomena using hybrid models that employ numerical analyses as well as meta-models is developed using artificial neural network (ANN).

32 citations

Journal ArticleDOI
TL;DR: In this article, density functional tight-binding combined with Green's functions formalism was applied for the calculation of thermal conductance and phonon spectra of several different aliphatic and aromatic molecular junctions between graphene nanosheets.
Abstract: Despite the uniquely high thermal conductivity of graphene is well known, the exploitation of graphene into thermally conductive nanomaterials and devices is limited by the inefficiency of thermal contacts between the individual nanosheets. A fascinating yet experimentally challenging route to enhance thermal conductance at contacts between graphene nanosheets is through molecular junctions, allowing covalently connecting nanosheets, otherwise interacting only via weak Van der Waals forces. Beside the bare existence of covalent connections, the choice of molecular structures to be used as thermal junctions should be guided by their vibrational properties, in terms of phonon transfer through the molecular junction. In this paper, density functional tight-binding combined with Green’s functions formalism was applied for the calculation of thermal conductance and phonon spectra of several different aliphatic and aromatic molecular junctions between graphene nanosheets. Effects of molecular junction length, conformation, and aromaticity were studied in detail and correlated with phonon tunnelling spectra. The theoretical insight provided by this work can guide future experimental studies to select suitable molecular junctions, in order to enhance the thermal transport by suppressing the interfacial thermal resistances. This is attractive for various systems, including graphene nanopapers and graphene polymer nanocomposites, as well as related devices. In a broader view, the possibility to design molecular junctions to control phonon transport currently appears as an efficient way to produce phononic devices and controlling heat management in nanostructures.

32 citations


Authors

Showing all 1443 results

NameH-indexPapersCitations
Timon Rabczuk9972735893
Adri C. T. van Duin7948926911
Paolo Rosso5654112757
Xiaoying Zhuang5427110082
Benno Stein533409880
Jin-Wu Jiang521757661
Gordon Wetzstein512589793
Goangseup Zi451538411
Bohayra Mortazavi441625802
Thorsten Hennig-Thurau4412317542
Jörg Hoffmann402007785
Martin Potthast401906563
Pedro M. A. Areias381075908
Amir Mosavi384326209
Guido De Roeck382748063
Network Information
Related Institutions (5)
Delft University of Technology
94.4K papers, 2.7M citations

83% related

Georgia Institute of Technology
119K papers, 4.6M citations

83% related

Carnegie Mellon University
104.3K papers, 5.9M citations

83% related

Eindhoven University of Technology
52.9K papers, 1.5M citations

82% related

Microsoft
86.9K papers, 4.1M citations

82% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202260
2021224
2020249
2019247
2018273