Ricerc@Sapienza

We combine two existing estimators of the local Hurst exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement. The estimation of the Hurst exponent of a time series is a recurring problem of great interest in many fields: finance, biology, hydrology, ecology, and signal processing, to quote a few.

Masonry constructions are an important part of the historic and architectural heritage of many countries and the analysis of their safety conditions, as well as the design of repair and strengthening interventions, is a challenging task. Many efforts have been devoted in the past to develop methodologies able to accurately reproduce masonry structural response. Relevant and even pioneer contributions can be found proposing analytical methods to evaluate the limit load of masonry elements, such as walls and arches.