The results of the research programme and their significance in broader (international) sense coincide and in some segments even exceed the statements given in the application form of the programme group "Vrednotenje konstrukcij" under point 1.5.2. The continuation presents some of the most important results of the programme group that have arisen from the programme and have contributed to the international scientific community. The programme group has successfully implemented the mixture distributions in the loading spectra modelling and has first carried out the extrapolation of the loading spectra of complex shapes and their scatter prediction. It has first proven that the loading spectra can be modelled by using mixture distributions even under arbitrary usage and environmental conditions. It has also developed the new procedure for mixture parameter estimation, that is much faster then the existing ones and does not require the knowledge of the number of components. The programme group has first proven that it is possible to predict the load time histories and the loading spectra if the usage and environmental conditions are known by using neural networks. It has successfully introduced the neural networks for failure cause recognition (fretting - fatigue) and has also implemented the neural networks for direct damage prediction without using the linear Woehler curves. The programme group has successfully implemented the neural networks and genetic algorithms for the gasket material optimisation. The usability of the developed procedures has been validated on other applications, too. The programme group has developed the new procedure for fatigue life prediction of dynamically loaded products that operate under variable and high temperatures. It has developed the corresponding software equipment, too. The research programme of the Slovenian industry related to the material characterisation has also resulted from this work. The achievements of the group have been published in the renowned publications and cited