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Dive into the research topics where Jan Øystein Haavig Bakke is active.

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Featured researches published by Jan Øystein Haavig Bakke.


EPL | 2006

Failures and avalanches in complex networks

Jan Øystein Haavig Bakke; Alex Hansen; János Kertész

We study the size distribution of power blackouts for the Norwegian and North American power grids. We find that for both systems the size distribution follows power laws with exponents − 1.65 ± 0.05 and − 2.0 ± 0.1, respectively. We then present a model with global redistribution of the load when a link in the system fails which reproduces the power law from the Norwegian power grid if the simulation are carried out on the Norwegian high-voltage power grid. The model is also applied to regular and irregular networks and give power laws with exponents − 2.0 ± 0.05 for the regular networks and − 1.5 ± 0.05 for the irregular networks. A presented mean-field theory is in good agreement with these numerical results.


Physical Review E | 2004

Correlation length exponent in the three-dimensional fuse network

Thomas Ramstad; Jan Øystein Haavig Bakke; Johannes Bjelland; Torunn Stranden; Alex Hansen

We present numerical measurements of the critical correlation length exponent nu in the three-dimensional fuse model. Using sufficiently broad threshold distributions to ensure that the system is the strong-disorder regime, we determine nu to be nu=0.83+/-0.04 based on analyzing the fluctuations of the survival probability. This value is different from that of ordinary percolation, which is 0.88.


Physical Review E | 2008

Dimensions, maximal growth sites, and optimization in the dielectric breakdown model.

Joachim Mathiesen; Mogens H. Jensen; Jan Øystein Haavig Bakke

We study the growth of fractal clusters in the dielectric breakdown model (DBM) by means of iterated conformal mappings. In particular we investigate the fractal dimension and the maximal growth site (measured by the Hoelder exponent alpha_{min} ) as a function of the growth exponent eta of the DBM model. We do not find evidence for a phase transition from fractal to nonfractal growth for a finite eta value. Simultaneously, we observe that the limit of nonfractal growth (D-->1) is consistent with alpha_{min}-->12 . Finally, using an optimization principle, we give a recipe on how to estimate the effective value of eta from temporal growth data of fractal aggregates.


EPL | 2010

Morphology of Laplacian random walks

Jan Øystein Haavig Bakke; Purusattam Ray; Alex Hansen

Roughness of random walks in the presence of a Laplacian field is studied in two dimensions for various strengths of the field parametrized by η. We find an ηc~4.5±0.3 at which a transition occurs from a tortuous fractal structure to a one-dimensional profile of the walk. At ηc, the walks are self-affine with a roughness exponent ζ=0.80±0.05. For increasing η-values, the roughness exponent increases.


Physical Review E | 2007

Accuracy of roughness exponent measurement methods.

Jan Øystein Haavig Bakke; Alex Hansen


Physica Scripta | 2003

Roughness of brittle fractures as a correlated percolation problem

Jan Øystein Haavig Bakke; Johannes Bjelland; Thomas Ramstad; Torunn Stranden; Alex Hansen; Jean Schmittbuhl


Physical Review B | 2007

Roughness exponent measurements for the central force model

Jan Øystein Haavig Bakke; Thomas Ramstad; Alex Hansen


Physical Review Letters | 2008

Mapping of the Roughness Exponent for the Fuse Model for Fracture

Jan Øystein Haavig Bakke; Alex Hansen


arXiv: Statistical Mechanics | 2005

Fracture Roughness and Correlation Length in the Central Force Model

Jan Øystein Haavig Bakke; Thomas Ramstad; Alex Hansen


Bulletin of the American Physical Society | 2007

Roughness Exponent Measurements for the Central Force Model

Jan Øystein Haavig Bakke; Alex Hansen

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Alex Hansen

Norwegian University of Science and Technology

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Thomas Ramstad

Norwegian University of Science and Technology

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Johannes Bjelland

Norwegian University of Science and Technology

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Torunn Stranden

Norwegian University of Science and Technology

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János Kertész

Central European University

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