Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Mianroodi, Jaber Rezaei"'
The purpose of this work is the systematic comparison of the application of two artificial neural networks (ANNs) to the surrogate modeling of the stress field in materially heterogeneous periodic polycrystalline microstructures. The first ANN is a U
Externí odkaz:
http://arxiv.org/abs/2210.16994
Autor:
Mianroodi, Jaber Rezaei, Shanthraj, Pratheek, da Silva, Alisson Kwiatkowski, Svendsen, Bob, Raabe, Dierk
Mn enrichment at dislocations in Fe-Mn alloys due to segregation and spinodal decomposition along the dislocation line is studied via modeling and experimental characterization. To model these phenomena, both finite-deformation microscopic phase-fiel
Externí odkaz:
http://arxiv.org/abs/2206.03767
Autor:
Bai, Yang, Mianroodi, Jaber Rezaei, Ma, Yan, da Silva, Alisson Kwiatkowski, Svendsen, Bob, Raabe, Dierk
The reduction of iron ore with carbon-carriers is one of the largest sources of greenhouse gas emissions in the industry, motivating global activities to replace the coke-based blast furnace reduction by hydrogen-based direct reduction (HyDR). Iron o
Externí odkaz:
http://arxiv.org/abs/2111.11538
The elastic properties of materials derive from their electronic and atomic nature. However, simulating bulk materials fully at these scales is not feasible, so that typically homogenized continuum descriptions are used instead. A seamless and lossle
Externí odkaz:
http://arxiv.org/abs/2108.02837
We propose a deep neural network (DNN) as a fast surrogate model for local stress (and in principle strain) calculation in inhomogeneous non-linear material systems. We show that the DNN predicts the local stresses with about 3.8% mean absolute perce
Externí odkaz:
http://arxiv.org/abs/2103.09147
Autor:
Kim, Se-Ho, Zhang, Xue, Schweinar, Kevin, Filho, Isnaldi R. Souza, Angerendt, Katja, Ma, Yan, Vogel, Dirk, Stephenson, Leigh T., El-Zoka, Ayman A., Mianroodi, Jaber Rezaei, Rohwerder, Michael, Gault, Baptiste, Raabe, Dierk
With 1.85 billion tons produced per year, steel is the most important material class in terms of volume and environmental impact. While steel is a sustainability enabler, for instance through lightweight design, magnetic devices, and efficient turbin
Externí odkaz:
http://arxiv.org/abs/2102.05654
Autor:
Chen, Xinren, Mianroodi, Jaber Rezaei, Liu, Chuanlai, Zhou, Xuyang, Ponge, Dirk, Gault, Baptiste, Svendsen, Bob, Raabe, Dierk
Publikováno v:
In Acta Materialia 1 August 2023 254
Autor:
Peivaste, Iman, Siboni, Nima H., Alahyarizadeh, Ghasem, Ghaderi, Reza, Svendsen, Bob, Raabe, Dierk, Mianroodi, Jaber Rezaei
Publikováno v:
In Computational Materials Science November 2022 214
Publikováno v:
In Journal of the Mechanics and Physics of Solids September 2022 166
Publikováno v:
In Journal of the Mechanics and Physics of Solids July 2022 164