Yes / A 9 x 18 x 1 feed-forward neural network (NN) model trained using a resilient back-propagation algorithm and early stopping technique is constructed to predict the shear strength of deep reinforced concrete beams. The input layer covering geometrical and material properties of deep beams has nine neurons, and the corresponding output is the shear strength. Training, validation and testing of the developed neural network have been achieved using a comprehensive database compiled from 362 simple and 71 continuous deep beam specimens. The shear strength predictions of deep beams obtained from the developed NN are in better agreement with test results than those determined from strut-and-tie models. The mean and standard deviation of the ratio between predicted capacities using the NN and measured shear capacities are 1.028 and 0.154, respectively, for simple deep beams, and 1.0 and 0.122, respectively, for continuous deep beams. In addition, the trends ascertained from parametric study using the developed NN have a consistent agreement with those observed in other experimental and analytical investigations.

The aim of diploma thesis is a design of project for realization of a building of kindergarden construction. Also there are solved suitable disposition for this purpose and design of a bearing structure with a respect to static and thermal part of documentation. Part of kindergarden is designed as day nursery. That means the building is used for care for children in age of 6 months up to 6 years. The kindergarden has three classes with overall capacity of 60 children. The day nursery part of the building has capacity of 12 kids. The building has two floors without basement, groundplan has irregular arched shape with structurally divided parts. A shape and altitude of the building is adapted to vertical alignment of a ground. The main entrances into the building are situated from two height levels of a slope. A residential rooms are situated from southeast to southwest. Part of the building is protected from north by adjacent soil. The structural system of kindergarden is timber. Structurally divided part of day nursery is a combination of hidden reinforce concrete skeleton and lime-sandstone masonry system. A ceiling structure is made of glue laminated timber system. Roofing of the building is solved as vegetational roof with a smooth connection to slope terrain by arched structure. A facade is made as breathable system of timber plates.

The master thesis is about a design of supporting structure of prefabricated skeleton hall. The major part of a design are an internal trasverse and longitudinal frames, which contents roof reinforce concrete truss, columns, beam and ceiling joists. All the load acting to the bearing structure is transferred to the prefabricate footing made of reinforce concrete. Other parts of the bulding are not solved in this thesis. The content of the thesis consists of an assembly drawing of parts of the skeleton and the static calculation according to the actual international standards. The output of each static calculation is drawing of a shape of part and its reinforcement.