Digital twins for design in the presence of uncertainties

TY - JOUR

T1 - Digital twins for design in the presence of uncertainties

AU - Yang, Jiannan

AU - Langley, Robin S.

AU - Andrade, Luis

N1 - Funding Information: This work has been funded by the Engineering and Physical Sciences Research Council through the award of a Programme Grant “Digital Twins for Improved Dynamic Design”, Grant No. EP/R006768. Publisher Copyright: © 2022 The Author(s)

PY - 2022/11/1

Y1 - 2022/11/1

N2 - Successful application of digital twins in the design process requires a tailored approach to identify high value information from the uncertain data. We propose a non-intrusive sensitivity metric toolbox that integrates black-box digital twins in the design and decision process under uncertainties. The toolbox captures the evolving nature of the key design performance indicators (KPI) and provide both KPI-free and KPI-based metrics. The KPI-free metrics, which are based on entropy and Fisher information but independent of design KPIs, is shown to give good indication of the most influential data for KPI-based metrics. This suggests a consistent identification of high value data throughout the design process.

AB - Successful application of digital twins in the design process requires a tailored approach to identify high value information from the uncertain data. We propose a non-intrusive sensitivity metric toolbox that integrates black-box digital twins in the design and decision process under uncertainties. The toolbox captures the evolving nature of the key design performance indicators (KPI) and provide both KPI-free and KPI-based metrics. The KPI-free metrics, which are based on entropy and Fisher information but independent of design KPIs, is shown to give good indication of the most influential data for KPI-based metrics. This suggests a consistent identification of high value data throughout the design process.

KW - Design entropy

KW - Design key performance indicator

KW - Design sensitivity toolbox

KW - Fisher information

KW - Likelihood ratio method

KW - Probability of acceptance

UR - http://www.scopus.com/inward/record.url?scp=85131121730&partnerID=8YFLogxK

U2 - 10.1016/j.ymssp.2022.109338

DO - 10.1016/j.ymssp.2022.109338

M3 - Article

AN - SCOPUS:85131121730

SN - 0888-3270

VL - 179

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

M1 - 109338

ER -