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SUMMARY:Data through Modelling to Decisions: Advancing Towards Prescriptiv
 e Digital Twins for Infrastructure - Jelena Ninic\, University of Birmingh
 am
DTSTART:20251017T140000Z
DTEND:20251017T150000Z
UID:TALK229867@talks.cam.ac.uk
CONTACT:Shehara Perera
DESCRIPTION:In the digital era\, with growing volumes of infrastructure\, 
 environmental\, and operational data\, there is a need for next-generation
  tools that can seamlessly integrate data and models to support intelligen
 t\, real-time decision-making. This research develops and deploys technolo
 gies that will lead to prescriptive digital twins (DTs) for infrastructure
 \, optimising design\, construction\, and operational processes.\n\nThe wo
 rk focuses on the automatic reconstruction of DTs in two areas: i) modelli
 ng and assessment for effective and optimised design\; and ii) reconnectio
 n of existing assets through machine learning-based information retrieval\
 , digital model generation\, condition mapping\, and computational analysi
 s for structural capacity assessment.\n\nFor the predictive phase\, digita
 l data and high-fidelity numerical models are integrated through parametri
 c and surrogate modelling to enable real-time design evaluation and contro
 l. In modelling part particularly focuses on meshless methods as an effect
 ive means of integrating digital and numerical models\, eliminating approx
 imations caused by meshing. Our group is developing and advancing several 
 such approaches\, including Isogeometric Analysis (IGA)\, CutFEM\, Singula
 r Boundary Method (SBM)\, and other hybrid techniques to address soil–st
 ructure interaction problems in excavation modelling and elastodynamics.\n
 \nFor the maintenance phase\, zero-shot segmentation and defect detection 
 methods enable automated reconstruction of semantically rich structural mo
 dels\, supporting condition-based performance assessment and prioritised m
 aintenance. The proposed approaches enhance automation\, accuracy\, and re
 silience\, paving the way for prescriptive digital twins that transform in
 frastructure project planning\, operation\, and asset management.
LOCATION:CivEng Seminar Room (1-33) (Civil Engineering Building)
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