The paper presents a new numerical model for the prediction of the temperature development in hardening concrete structure. An artificial neural networks approach is used for the determination of adiabatic hydration curve of an arbitrary concrete mixture without any need of a user to perform adiabatic experiments. Once the hydration curve has been determined, we are able to calculate the temperature development by integrating the diffusion equation using the finite element method. The model is well suited for design of modern technological processes met in building construction.
F.17 Transfer of existing technologies, know-how, methods and procedures into practice
COBISS.SI-ID: 34447365The paper describes the evolution of the implementation of automatic grading methods into Slovenian sawmills. Firstly it is described how the database of Slovenian timber was created. Then the grading methods were implemented by imposing the European standards into the production of sawn timber, finding the correlation between indicative properties of Slovenian timber and grading characteristics, obtained by grading more than 1000 boards of Picea Abies Mill.
F.09 Development of a new technological process or technology
COBISS.SI-ID: 1695335The paper presents a method for the determination of the temperature field in hardening concrete during successive construction. The method has been validated against the results found in testing of a large-size concrete structure. The method is also capable of estimating an optimal construction schedule if the allowable maximum temperature and its gradient are given. Furthermore, the influence of parameters other than temperature on an optimal construction schedule can also be estimated.
F.10 Improvements to an existing technological process or technology
COBISS.SI-ID: 34030853The paper presents a semi-analytical method for computational assessment of times-to-failure and critical temperatures of timber columns exposed to fire. The method is based on the 2D thermo-mechanical analysis and the exact mechanical analysis including buckling behavior of columns. The model predicts the char formation in the timber column as a function of temperature, moisture content and density. Critical temperatures and times-to-failure of charred timber columns exposed to fire are analysed for different timber species and different temperature-dependent material parameters.
F.18 Transfer of new know-how to direct users (seminars, fora, conferences)
COBISS.SI-ID: 5069409The report on the competition includes the description of the competition, the list of finalists, and the problems with the solutions from the preliminary and final competition.
D.10 Educational activities
COBISS.SI-ID: 247568896