Distribution of damage clusters according to size and local density is investigated on the basis of probabilistic cellular automaton proposed by the authors. Specific features of the distributions typical for systems that are prone to disasters are identified.
The relative analysis of characteristics of time series of damage number and damage cluster number was made with a probabilistic cellular automaton on the basis of simulation of damage cluster ensemble evolution. There was demonstrated, that the transfer of the time series damage number autocorrelation to negative value conforms the transfer of cluster ensemble evolution to the stage of coalescence. The qualitative consent between the behaviour of autocorrelation observed by experiment with measurement phonon and electromagnetic emitting in loaded materials was assigned.
shin UDC 539.375 The kinetic characteristics for the random process of elementary damage accumulation are compared with the corresponding kinetic characteristics for the processes of impulse electromagnetic and light emission of loaded materials in simulation by the probabilistic cellular automation. It is established that transition of the temporal autocorrelation functions for the number of emission impulses to the region of negative correlations can be considered as a precursor of the transition of the loaded material to the irreversible failure.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.