Global wind energy has developed rapidly in recent years, and the offshore wind turbines
(OWTs) have been applied to much more applications. Because the support structure of an …

The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …

飞机结构安全性设计思想经历了从静强度设计, 安全寿命设计, 损伤容限与耐久性设计到单机
追踪的演变, 未来有进一步向结构数字孪生的方向发展的趋势. 飞机结构数字孪生是数字线程 …

The aim of this study is to develop a new framework for the prediction of stress intensity
factor (SIF) using newly developed hybrid artificial intelligence (AI) models. To do so, an …

To deploy the airframe digital twin or to conduct probabilistic evaluations of the remaining
life of a structural component, a (near) real-time crack-growth simulation method is critical. In …

Delamination is a failure mechanism which is intrinsic of laminated fibre-reinforced plastics
and possibly one of the major concerns of laminated composite structures, since, under …

This article introduces a probabilistic machine learning framework for the uncertainty
quantification (UQ) of electronic circuits based on the Gaussian process regression (GPR) …

Estimating the value of the stress intensity factor (SIF) for a crack propagating in small bore
piping is essential for predicting the remnant fatigue life (RFL) of the aforementioned asset …

This study aims to use GPS/Levelling data and machine learning techniques (MLs) to model
a high precision local geoid for Kuwait. To improve the accuracy of a local geoid the global …

Over the course of the last four decades, the rotor diameter of Horizontal Axis Wind Turbines
(HAWTs) has undergone a substantial increase, expanding from 15 m (30 kW) to an …