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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: A nested grid numerical model with different Whitecapping coefficient is advanced and its efficiency with three machine learning methods of artificial neural networks, extreme learning machines and support vector regression for wave height modeling is compared.
Abstract: Estimation of wave height is essential for several coastal engineering applications. This study advances a nested grid numerical model and compare its efficiency with three machine learning (ML) me...

94 citations

Journal ArticleDOI
TL;DR: In this paper, a draft procedure for damage tolerance analysis of railway components is presented and illustrated by a case study on a railway axle, based on the recently developed European flaw assessment procedure SINTAP, the NASGRO/ESACRACK procedure for fatigue crack extension and other documents.

94 citations

Journal ArticleDOI
TL;DR: In this paper, a node-based smoothed FEM in combination with a primal-dual algorithm is used to compute the plastic collapse limit and shakedown loads of structures.
Abstract: SUMMARY This paper presents a novel numerical procedure for computing limit and shakedown loads of structures using a node-based smoothed FEM in combination with a primal–dual algorithm. An associated primal–dual form based on the von Mises yield criterion is adopted. The primal-dual algorithm together with a Newton-like iteration are then used to solve this associated primal–dual form to determine simultaneously both approximate upper and quasi-lower bounds of the plastic collapse limit and the shakedown limit. The present formulation uses only linear approximations and its implementation into finite element programs is quite simple. Several numerical examples are given to show the reliability, accuracy, and generality of the present formulation compared with other available methods. Copyright © 2011 John Wiley & Sons, Ltd.

93 citations

Journal ArticleDOI
TL;DR: Based on the experience with a variety of material models following macro-scale continuum mechanics approaches, an improved set of constitutive equations is proposed in this article to estimate the fatigue life of engineering components and structures with a high degree of accuracy.

93 citations

Journal ArticleDOI
TL;DR: This study presents the chirality-dependence of supergraphene, cyclic graphene and graphyne's mechanical properties, including Young's moduli, shearmoduli, Poisson's ratios, ultimate strength and ultimate strains, using molecular dynamics simulations based on the AIREBO potential.
Abstract: The mechanical properties of supergraphene, cyclicgraphene and graphyne are studied using molecular dynamics simulations based on the AIREBO potential. In particular, we present the chirality-dependence of their mechanical properties, including Young's moduli, shear moduli, Poisson's ratios, ultimate strength and ultimate strains. The relationship of their Young moduli, shear moduli and Poisson ratios is in the order of Y(su) (super) v(cy) > v(gy) > v(ge) in corresponding zigzag and armchair sheets, respectively. Their intersheet adhesion energy is obtained as γ(su) = 30, γ(cy) = 99 and γ(gy) = 149 mJ m(-2), which are much lower than that of γ(ge) = 291 mJ m(-2) (the value is in good agreement with the latest experimental result γ(ge) = 310 ± 30 mJ m(-2)). The obtained adhesion energy is accurately characterized by continuum modeling of the van der Waals interactions. Our study is very useful for the future applications of graphene-like materials in nanoelectromechanical systems.

92 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