Monte Carlo methods have attracted constant and even increasing attention in structural
reliability analysis with a wide variety of developments seamlessly presented over decades …

The interest in the use of composite materials in thin-walled structures has grown over the
last decades due to their well-known superior mechanical performance and reduced weight …

This paper presents a prognostics methodology to deal with complex degradation processes
for which condition monitoring data constitute the only available source of physical …

Damage prognosis generally resorts to a damage evolution model and the current damage
state to predict the future state and the remaining useful life (RUL). As a properly defined …

Hybrid methods combining physical knowledge and data‐driven techniques have shown
great potential for damage prognosis in structural health monitoring (SHM). Current …

Damage prognosis generally resorts to damage quantification functions and evolution
models to quantify the current damage state and to predict the future states and the …

This paper proposes a paradigm shift to the problem of infrastructure asset management
modelling by focusing towards forecasting the future condition of the assets instead of using …

The aim of this paper is to propose a holistic multi-failure mode prognosis approach that
takes into account the complexity of failure mechanisms as a system. Model assumptions …

Probabilistic safety assessment (PSA) performs a key role in the safety assessment of
nuclear power plants. In this study, in order to further utilize PSA, a new methodology was …

Aerospace systems are complex engineering systems for which reliability has to be
guaranteed at an early design phase, especially regarding the potential tremendous …