Work

Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications

Year: 2020

Type: article

Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering

DOI: 10.1115/1.4046739

Authors: D. J. Wagg, K. Worden, R. J. Barthorpe, P. Gardner

Institution: University of Sheffield

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Award: Digital twins for improved dynamic design

OpenAlex ID: W3013932226

FWCI: 18.52

Cites: 105

Cited by: 392

Related to: 10