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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
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Journal ArticleDOI
TL;DR: In this paper, a costbenefit analysis for planning rehabilitation efforts of deteriorating structures is proposed, which takes into account all life-cycle costs, such as construction, failure, inspection and state-dependent rehabilitation costs, as well as state or time-dependent benefit rates.

22 citations

Journal ArticleDOI
23 Sep 2021-Polymers
TL;DR: In this article, the artificial neural network (ANN) and ANN-genetic algorithm (ANN-GA) were further developed to estimate the toughness, part thickness, and production-cost dependent variables.
Abstract: Polylactic acid (PLA) is a highly applicable material that is used in 3D printers due to some significant features such as its deformation property and affordable cost. For improvement of the end-use quality, it is of significant importance to enhance the quality of fused filament fabrication (FFF)-printed objects in PLA. The purpose of this investigation was to boost toughness and to reduce the production cost of the FFF-printed tensile test samples with the desired part thickness. To remove the need for numerous and idle printing samples, the response surface method (RSM) was used. Statistical analysis was performed to deal with this concern by considering extruder temperature (ET), infill percentage (IP), and layer thickness (LT) as controlled factors. The artificial intelligence method of artificial neural network (ANN) and ANN-genetic algorithm (ANN-GA) were further developed to estimate the toughness, part thickness, and production-cost-dependent variables. Results were evaluated by correlation coefficient and RMSE values. According to the modeling results, ANN-GA as a hybrid machine learning (ML) technique could enhance the accuracy of modeling by about 7.5, 11.5, and 4.5% for toughness, part thickness, and production cost, respectively, in comparison with those for the single ANN method. On the other hand, the optimization results confirm that the optimized specimen is cost-effective and able to comparatively undergo deformation, which enables the usability of printed PLA objects.

22 citations

Journal ArticleDOI
TL;DR: In this article, the authors demonstrate that the fibrous calcium-silicate-hydrates (C-S-H) of tricalciumsilicate (C 3 S) hydration possess a crystalline structure.
Abstract: Using electron diffraction, we demonstrate that the fibrous calcium-silicate-hydrates (C-S-H) of tricalciumsilicate (C 3 S) hydration possess a crystalline structure. The crystalline nature was revealed by limiting the electron dose, which is common in electron microscopy of biomacromolecules. Compared with room temperature, the fading of the electron diffraction patterns at -175°C occurs at an electron dose that is about one order of magnitude higher. A combination of low-dose and cryo-protection methods offers the possibility to investigate the structures of water-containing cement phases by high-resolution electron microscopy in a close-to-native state.

22 citations

Journal ArticleDOI
TL;DR: Analysis of the structural response of the separated sternum using computer-based numerical discretization techniques, such as finite element methods, revealed that for the normal breathing load case the single loop technique is capable of clamping the sternum sufficiently, assuming that the wires are prestressed.

22 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
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202260
2021224
2020249
2019247
2018273