Mathias Wallin

Prof. Dr. Mathias Wallin


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 December 2006 in Nanotechnology
Verified
Journal Article
Closed access
MLMagnus W Larsson
Magnus W Larsson
Jakob Birkedal WagnerJakob Birkedal Wagner
Jakob Birkedal Wagner
MWMathias Wallin
Mathias Wallin
PHPaul Håkansson
Paul Håkansson
LFLinus E Fröberg
Linus E Fröberg
LWL Reine Wallenberg
L Reine Wallenberg

1 June 2010 in Computational Materials Science
Verified
Journal Article
Closed access
Håkan HallbergHåkan Hallberg
Håkan Hallberg
MWMathias Wallin
Mathias Wallin
MRMatti Ristinmaa
Matti Ristinmaa

1 February 2010 in Materials Science and Engineering: A
Verified
Journal Article
Closed access
Håkan HallbergHåkan Hallberg
Håkan Hallberg
MWMathias Wallin
Mathias Wallin
MRMatti Ristinmaa
Matti Ristinmaa

18 March 2022 in Journal of the Mechanics and Physics of Solids
Verified
Journal Article
Open access
ADAnna Dalklint
Anna Dalklint
MWMathias Wallin
Mathias Wallin
KBKatia Bertoldi
Katia Bertoldi
DTDaniel Tortorelli
Daniel Tortorelli

21 April 2016 in Structural and Multidisciplinary Optimization
Verified
Journal Article
Closed access
PDF file
MWMathias Wallin
Mathias Wallin
VJViktor Jönsson
Viktor Jönsson
EWEric Wingren
Eric Wingren

18 April 2020 in Structural and Multidisciplinary Optimization
Verified
Journal Article
Open access
PDF file
MWMathias Wallin
Mathias Wallin
NINiklas Ivarsson
Niklas Ivarsson
OAOded Amir
Oded Amir
DTDaniel Tortorelli
Daniel Tortorelli
Design variables in density-based topology optimization are typically regularized using filtering techniques. In many cases, such as stress optimization, where details at the boundaries are crucially important, the filtering in the vicinity of the design domain boundary needs special attention. One well-known technique, often referred to as “padding,” is to extend the design domain with extra layers of elements to mitigate artificial boundary effects. We discuss an alternative to the padding procedure in the context of PDE filtering. To motivate this augmented PDE filter, we make use of the potential form of the PDE filter which allows us to add penalty terms with a clear physical interpretation. The major advantages of the proposed augmentation compared with the conventional padding is the simplicity of the implementation and the possibility to tune the boundary properties using a scalar parameter. Analytical results in 1D and numerical results in 2D and 3D confirm the suitability of this approach for large-scale topology optimization.