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Abstract

The Hoglandvatnet and Ålandvatnet are genetically associated with the action of a large ice stream issuing from Mittag-Lefflerbreen towards Lomonosovfonna as far nortwards as Austfjorden. The accomplished investigations permit water properties to be described for Hoglandvatnet and Ålandvatnet, as well as the chemical composition of the basin waters to be correlated with lithologic diversity of the surrounding massifs and the composition of glacier water feeding them. Water of Hoglandvatnet has a rather uniform ion composition. It is sulphate-calcium water. Low mineral contents of glacier water and that flowing through crystalline rocks of Framstaken and feeding the basin result in its less marked effect on the Hoglandvatnet water, compared with highly mineralized water of streams issuing from Trikolorfjellet and Tarantellen. Water of Ålandvatnet has a somewhat different quantitative ion composition than that of Hoglandvatnet. It is calcium-sulphate-bicarbonate water which is richer in the bicarbonate ion than the Hoglandvatnet waters. This is most likely due to the influence of bicarbonate water of Ålandelva and glacier water feeding the basin. It can also be the result of a smaller contribution from highly mineralized calcium-sulphate water issuing from Trikolorfjellet.

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Authors and Affiliations

Anna Stankowska
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Abstract

Deterministic mechanics has been extensively used by engineers as they needed models that could predict the behavior of designed structures and components. However, modern engineering is now shifting to a new approach where the uncertainty analysis of the model inputs enables to obtain more accurate results. This paper presents an application of this new approach in the field of the stress analysis. In this case, a two-dimensional stress elasticity model is compared with the experimental stress results of five different size tubes measured with resistive strain gages. Theoretical and experimental uncertainties have been calculated by means of the Monte Carlo method and a weighted least square algorithm, respectively. The paper proposes that the analytical engineering models have to integrate an uncertainty component considering the uncertainties of the input data and phenomena observed during the test, that are difficult to adapt in the analytical model. The prediction will be thus improved, the theoretical result being much closer to the real case.
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Authors and Affiliations

Ramón Gutiérrez
María Ramírez
Ester Olmeda
Vicente Díaz

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