@inproceedings{NguyenTuanDatchevaSchanz, author = {Nguyen-Tuan, Long and Datcheva, Maria and Schanz, Tom}, title = {NUMERICAL SIMULATION AND INVERSE ANALYSIS OF THERMO-HYDRO-MECHANICAL BEHAVIOR OF SAND-BENTONITE MIXTURE}, editor = {G{\"u}rlebeck, Klaus and K{\"o}nke, Carsten}, organization = {Bauhaus-Universit{\"a}t Weimar}, issn = {1611-4086}, doi = {10.25643/bauhaus-universitaet.2876}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20170314-28767}, pages = {18}, abstract = {Sand-bentonite mixtures are well recognized as buffer and sealing material in nuclear waste repository constructions. The behaviour of compacted sand-bentonite mixture needs to be well understood in order to guarantee the safety and the efficiency of the barrier construction. This paper presents numerical simulations of swelling test and coupled thermo-hydro-mechanical (THM) test on compacted sand-bentonite mixture in order to reveal the influence of the temperature and hydraulic gradients on the distribution of temperature, mechanical stress and water content in such materials. Sensitivity analysis is carried out to identify the parameters which influence the most the response of the numerical model. Results of back analysis of the model parameters are reported and critically assessed.}, subject = {Angewandte Informatik}, language = {en} } @inproceedings{StoimenovaLinsDatchevaetal., author = {Stoimenova, Eugenia and Lins, Yvonne and Datcheva, Maria and Schanz, Tom}, title = {INVERSE MODELLING OF SOIL HYDRAULIC CHARACTERISTIC FUNCTIONS}, editor = {G{\"u}rlebeck, Klaus and K{\"o}nke, Carsten}, organization = {Bauhaus-Universit{\"a}t Weimar}, doi = {10.25643/bauhaus-universitaet.2985}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20170327-29858}, pages = {12}, abstract = {In this paper we evaluate 2D models for soil-water characteristic curve (SWCC), that incorporate the hysteretic nature of the relationship between volumetric water content θ and suction ψ. The models are based on nonlinear least squares estimation of the experimental data for sand. To estimate the dependent variable θ the proposed models include two independent variables, suction and sensors reading position (depth d in the column test). The variable d represents not only the position where suction and water content are measured but also the initial suction distribution before each of the hydraulic loading test phases. Due to this the proposed 2D regression models acquire the advantage that they: (a) can be applied for prediction of θ for any position along the column and (b) give the functional form for the scanning curves.}, subject = {Architektur }, language = {en} }