This paper presents the potentiality of the use of extrapolation of a set of Auto-Regressive (AR) models to inspect a future damage sensitive indices based on changes in one-step-ahead prediction errors. The key idea is ...

The application of Structural Health Monitoring (SHM) methods focuses mainly on its initial levels of the hierarchy of damage identification. The contribution of this paper is to propose a new strategy that allows going ...

Although, beneficial in determined contexts, eccentric exercise induced muscle damage (EIMD) might be unwanted during training regimens, competitions and daily activities. There are a vast number of studies investigating ...

© 2019, The Author(s). The Modified Mercalli intensity scale (Mercalli scale for short) is a qualitative measure used to express the perceived intensity of an earthquake in terms of damages. Accurate intensity reports are ...

Risk evaluation and loss analysis is key in foreseeing the impact of disasters caused by natural hazards and may contribute effectively in improving resilience in a community through the pre-evaluation of preparedness and ...

Machine learning, and more specifically artificial neural networks (ANN), are powerful and flexible numerical tools that can lead to significant improvements in many materials modelling techniques. This paper provides a ...

A new block-based elasto-damage model for describing masonry structures has been recently proposed (Tran et al. in Mech Res Commun 118:103802, 2021), where the used constitutive elastic and damage behavioral laws were ...