Probabilistic digital twins for geotechnical design and construction
The digital twin approach has gained recognition as a promising solution to the challenges faced by the Architecture, Engineering, Construction, Operations, and Management (AECOM) industries. However, its broader application across some AECOM sectors remains limited. A significant obstacle is that t...
Saved in:
| Main Authors: | Dafydd Cotoarbă, Daniel Straub, Ian F.C. Smith |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2025-01-01
|
| Series: | Data-Centric Engineering |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2632673625100087/type/journal_article |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Probabilistic inference and Bayesian‐like estimation in animals: Empirical evidence
by: Thomas J. Valone
Published: (2024-07-01) -
Digital Twins’ Application for Geotechnical Engineering: A Review of Current Status and Future Directions in China
by: Wenhui Tan, et al.
Published: (2025-07-01) -
BIM – AN APPLICATION IN GEOTECHNICAL ENGINEERING
by: Ivan Vaníček, et al.
Published: (2021-01-01) -
Probabilistic Power Flow Analysis of DERs Integrated Power System From a Bayesian Parameter Estimation Perspective
by: Wanjoli, Paul, et al.
Published: (2025) -
Unit-level Digital Twin Model Construction Technology for Part Manufacturing Processes
by: LI Dong, et al.
Published: (2025-02-01)