A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2022 - Springer
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Recent progress on reliability analysis of offshore wind turbine support structures considering digital twin solutions

M Wang, C Wang, A Hnydiuk-Stefan, S Feng, I Atilla… - Ocean …, 2021 - Elsevier
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 …

Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks

XP Niu, RZ Wang, D Liao, SP Zhu, XC Zhang… - International Journal of …, 2021 - Elsevier
Turbine bladed disks normally operate under complex loadings coupling with uncertainties
originate from multiple sources, including material variability, load variation and geometrical …

Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks

SP Zhu, Q Liu, W Peng, XC Zhang - International Journal of Mechanical …, 2018 - Elsevier
In the present study, a computational-experimental framework is developed for fatigue
reliability assessment of turbine bladed disks. Within the framework, the overspeed testing is …

Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty

SP Zhu, HZ Huang, W Peng, HK Wang… - Reliability Engineering & …, 2016 - Elsevier
A probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas
turbine discs operating under uncertainty is developed. The framework incorporates the …

Structural fatigue life prediction considering model uncertainties through a novel digital twin-driven approach

M Wang, S Feng, A Incecik, G Królczyk, Z Li - Computer Methods in Applied …, 2022 - Elsevier
In this work, a digital twin (DT)-driven approach is proposed to accurately predict structural
fatigue life by establishing effective dual-information communication between a DT virtual …

[PDF][PDF] 飞机结构数字孪生关键建模仿真技术

董雷霆, 周轩, 赵福斌, 贺双新, 卢志远, 冯建民 - 航空学报, 2021 - researchgate.net
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 …

Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks

S Karumuri, R Tripathy, I Bilionis, J Panchal - Journal of Computational …, 2020 - Elsevier
Stochastic partial differential equations (SPDEs) are ubiquitous in engineering and
computational sciences. The stochasticity arises as a consequence of uncertainty in input …

Fatigue crack growth prediction method for offshore platform based on digital twin

X Fang, H Wang, W Li, G Liu, B Cai - Ocean Engineering, 2022 - Elsevier
To accurately predict the crack growth trend of marine structures, this paper proposes a
fatigue crack growth prediction method for offshore platforms based on digital twin. First, a …

Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials

A Rovinelli, MD Sangid, H Proudhon… - npj Computational …, 2018 - nature.com
The propagation of small cracks contributes to the majority of the fatigue lifetime for structural
components. Despite significant interest, criteria for the growth of small cracks, in terms of …