Structural Reliability analysis (SRA) is one of the prominent fields in civil and mechanical
engineering. However, an accurate SRA in most cases deals with complex and costly …

Abstract Artificial Neural Networks (ANNs) were firstly used to model ocean engineering
problems in the decade of 1990s. Since then, this soft-modelling technique has proved …

Abstract Artificial Neural Networks (ANNs) are becoming more popular to model ocean
engineering problems. With the development of Artificial Intelligence, data-driven models …

Spillways are essential parts of dams, in which the main task of these structures is to allow
the passing of excess water and floods from the upstream to the downstream. In this regards …

When colossal gravity-driven mass flows enter a body of water, they may generate waves
which can have destructive consequences on coastal areas. A number of empirical …

Recently, an analysis method using machine learning for solving problems in coastal and
ocean engineering has been highlighted. Machine learning models are effective modeling …

Abstract Machine learning (ML)-based techniques have found significant impact in many
fields of engineering and sciences, where data-sets are available from experiments and …

In the previous studies on the prediction of wave height parameters, only the significant
wave height has been considered as the unknown parameter to be predicted. However, the …

In this study, an artificial neural network (ANN) model is developed to predict the stability
number of breakwater armor stones based on the experimental data reported by Van der …

The term “damage” in rubble mound breakwaters is usually related to the foremost failure
mode of this kind of coastal structures: their hydraulic instability. The characterization of the …