Nonlinear finite element formulation of the soil structure interaction through two parameter foundation model

The response of shallow and raft foundations is having a significant importance due to its complex behavior because of the semi-infinite soil media. Winkler\u27s model is the simplest model to deal with the structure and soil. The Winkler model represents the foundation reaction as proportional to the soil displacement at a particular point, which results in the elasticity of the soil being the only parameter in consideration. But in reality the soil cohesiveness is having a significant contribution in soil structure interaction, and therefore the consideration of coupling effects of Winkler springs need to be accounted. Most of the existing elements either consider certain parameters of the foundation or assume an elastic beam and foundation response. In this research a new finite element formulation was developed in which these limitations were eliminated. This improved model can be viewed as a soil with a combination of cohesive behavior which transmits the rotation due to bending in addition to the Winkler effect. The non linear response of structures resting on this improved foundation model can be analyzed by assuming that the foundation resists compression and tension. In reality soil is very weak in tension and its tension capacity needs to be neglected, which leads to lift-off regions at different locations. This phenomenon becomes much more complicated by considering the inelastic soil structure behavior, which leads to a highly nonlinear problem. In order to estimate the necessary nonlinear soil parameters, an analytical procedure based on the Vlasov model is proposed. The presented solutions and applications show the superiority of the proposed nonlinear foundation model --Abstract, page v

Towards unsupervised extraction of linguistic typological features from language descriptions

In this paper, we describe our first attempt at building an NLP pipeline that extracts typological features from OCR’ed linguistic descriptions

Estimating language relationships from a parallel corpus. A study of the Europarl corpus

Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bolette Sandford Pedersen, Gunta Nešpore and Inguna Skadiņa. NEALT Proceedings Series, Vol. 11 (2011), 161-167. © 2011 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/16955