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32

Annual Report 2016

SAMCoT

The Aalto University ice mechanics group has continued

with their research on numerical modelling of sea ice

mechanics. PhD candidate Janne Ranta has progressed

with the research for his doctoral thesis on the statis-

tics (and the mechanics behind the statistics) of ice

loads. The approach is unique as the ice load statistics

are based on the FEM-DEM simulations of ice-structure

interaction processes. Ranta prepared three draft

manuscripts for journal articles during 2016. All three

manuscripts have now been submitted, and one of them

was published late last year in the journal Cold Regions

Science and Technology. This paper analyses peak ice

load data from 2D combined nite-discrete element

NUMERICAL MODELLING OF SEA ICE MECHANICS

method simulations. In these simulations, an initially

continuous ice sheet, modelled as a oating beam,

breaks into smaller ice blocks as the sheet is pushed

against an inclined structure. Multivariate linear re-

gression modelling and the variable elimination method

were used in the analysis of the data. The analysis gave

valuable insight into the peak ice load data in a si-

mulated ice-structure interaction process. It was found

that the peak ice load data can be estimated with good

accuracy using only ve parameters: the ice thickness;

the inclination angle of the structure; the shear strength

of ice; the ice-structure and ice-ice friction coefficients.

The ice thickness and the structure’s inclination angle

had the strongest relative effects, with their importance

changing during the process. The results also showed

that the stage of the ice-structure interaction process

should be taken into account in ice load models. The

results underline the importance of statistical analysis

of ice load data and give valuable suggestions for future

work. Associate professor Arttu Polojärvi and Professor

Jukka Tuhkuri both actively participated in the research

leading to these manuscripts. Additionally, the group

presented two papers at the IAHR ice symposium last

summer. One of the papers was related to the statistics

of ice loads, while the other focused on a study on ice

loads on shallow water structures.

100

80

60

40

20

0

1

2

3

4

1

2

3

4

100

80

60

40

20

0

Region

Region

= 0.5 m

= 0.25 m

The relative effects of ice thickness (h), inclination angle

(

α

), shear strength (

τ

f

), ice-structure friction coefficient

(

µ i

v

), and ice-ice friction coefficient (

µ ii

) on peak ice

loads. The left graph shows the effects when

h

= 0.5 m

and the right graph when

h

= 1.25 m. Other parameters

had fixed values:

α

= 70

,

τf

= 0.4 MPa,

µ iw

= 0.1,

and

µii

=0. 3.