Mikko Suominen

Dr. Mikko Suominen

Aalto University, Department of Mechanical Engineering, P.O.Box 15300 FI-00076 Aalto, Finland
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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1 March 2017 in Cold Regions Science and Technology
Verified
Journal Article
Open access
LKLauri Kuuliala
Lauri Kuuliala
PKPentti Kujala
Pentti Kujala
Mikko SuominenMikko Suominen
Mikko Suominen
JMJakub Montewka
Jakub Montewka
A method for estimating ship's resistance caused by sea ice ridge keels is revised and used as a part of a method for predicting performance of ships in ridged ice conditions. The resistance method is based on a continuum plasticity model of ridge rubble and is simple to compute. The performance prediction method combines deterministic simulations of ship motion with probabilistic modelling of ridged ice fields. Performance estimates given by the model are distribution of attainable mean speeds for given ice conditions and probability of the ship being able to operate independently. A comprehensive sensitivity analysis was performed to gain insight into the model and identify possible problematic parameters. The sensitivity analysis covered both the ice conditions and modelling assumptions. Two data-sets were used to test the simulation method. One set included the depth profile of sea ice, machinery data and the speed of a ship operating in ridged ice. The resistance method was able to predict the meanspeed over 3km well. The second data-set consisted of a history of ship's speeds and positions from AIS data and ice conditions estimated by a numerical ice model HELMI, developed in the Finnish Meteorological Institute. Observed mean speeds were mostly well within the distributions of mean speeds simulated by the transit simulation model. Predictions of independent operation were also promising.Peer reviewe

1 March 2017 in Cold Regions Science and Technology
Verified
Journal Article
Closed access
MKMikko Kotilainen
Mikko Kotilainen
JVJarno Vanhatalo
Jarno Vanhatalo
Mikko SuominenMikko Suominen
Mikko Suominen
PKPentti Kujala
Pentti Kujala

1 March 2017 in Marine Structures
Verified
Journal Article
Open access
Mikko SuominenMikko Suominen
Mikko Suominen
PKPentti Kujala
Pentti Kujala
JRJani Romanoff
Jani Romanoff
Heikki RemesHeikki Remes
Heikki Remes
This paper studies the frequency of ice loads of varying lengths and the occurrence probability of their magnitudes in full-scale. In these measurements, the four frames were instrumented with shear strain gauges on the Polar Supply and Research Vessel S.A. Agulhas II. The experiments were carried out on first-year ice in the Baltic Sea. An influence coefficient matrix based on analytical and numerical analyses was used to determine the load length in the horizontal direction. Rayleigh separation was used to define the load amplitudes. The measurements show that the ice loading has to be long in order for the shear-load maximum on a single frame to occur. Furthermore, the statistical study showed that the Weibull distribution gives the best fit to the measured loads on a frame. The probability distribution of the ice loads on a frame is exponential-like for short loads and lognormal-like for long loads.Peer reviewe

1 October 2014 in Cold Regions Science and Technology
Verified
Journal Article
Closed access
Mikko SuominenMikko Suominen
Mikko Suominen
PKPentti Kujala
Pentti Kujala


1 November 2021 in Ocean Engineering
Verified
Journal Article
Open access
FLFang Li
Fang Li
Mikko SuominenMikko Suominen
Mikko Suominen
Pentti KUJALAPentti KUJALA
Pentti KUJALA