| contributor author | Ma, Sizhe | |
| contributor author | Flanigan, Katherine A. | |
| contributor author | Bergés, Mario | |
| date accessioned | 2026-08-20T21:26:58Z | |
| date available | 2026-08-20T21:26:58Z | |
| date copyright | 2026/01/28 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-7024.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314470 | |
| description abstract | AbstractDigital twins (DTs) enable powerful predictive analytics, but persistent discrepancies
between simulations and real systems—known as the reality gap—undermine their reliability.
Coined in robotics, the term now applies to DTs, where discrepancies ...Practical ApplicationsDigital twins (DTs) are powerful virtual replicas of physical assets like bridges
used to monitor health and predict maintenance needs. However, their reliability is
often undermined by a “reality gap”—a mismatch between the ... | |
| publisher | American Society of Civil Engineers | |
| title | Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-7024 | |
| journal fristpage | 04026009-1 | |
| journal lastpage | 04026009-13 | |
| page | 13 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003 | |
| contenttype | Fulltext | |