Sanduni Jayasinghe
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View article: Hybrid Quantum Classical Surrogate for Real Time Inverse Finite Element Modeling in Digital Twins
Hybrid Quantum Classical Surrogate for Real Time Inverse Finite Element Modeling in Digital Twins Open
Large-scale civil structures, such as bridges, pipelines, and offshore platforms, are vital to modern infrastructure, where unexpected failures can cause significant economic and safety repercussions. Although finite element (FE) modeling …
View article: Smart Structural Monitoring: Real-Time Bridge Response Using Digital Twins and Inverse Analysis
Smart Structural Monitoring: Real-Time Bridge Response Using Digital Twins and Inverse Analysis Open
Continuous monitoring is significant to ensure the safe operation of infrastructure systems despite the high costs of traditional methods. The current study presents the development of a real-time digital twin of a laboratory-scaled bridge…
View article: A review on the applications of artificial neural network techniques for accelerating finite element analysis in the civil engineering domain
A review on the applications of artificial neural network techniques for accelerating finite element analysis in the civil engineering domain Open
View article: Optimal Sensor Placement for Structural Health Monitoring: A Comprehensive Review
Optimal Sensor Placement for Structural Health Monitoring: A Comprehensive Review Open
The structural health monitoring (SHM) of bridge infrastructure has become essential for ensuring safety, serviceability, and long-term functionality amid aging structures and increasing load demands. SHM leverages sensor networks to enabl…
View article: AI-based bridge maintenance management: a comprehensive review
AI-based bridge maintenance management: a comprehensive review Open
Over recent decades, the implementation of Artificial Intelligence (AI) across various industrial fields from automation to cybersecurity has been transformative. Whilst the implementations of linking AI and data sciences remain complex an…
View article: Application of Machine Learning for Real-Time Structural Integrity Assessment of Bridges
Application of Machine Learning for Real-Time Structural Integrity Assessment of Bridges Open
The concept of digital twins (DT)s enhances traditional structural health monitoring (SHM) by integrating real-time data with digital models for predictive maintenance and decision-making whilst combined with finite element modelling (FEM)…
View article: Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review
Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review Open
Civil infrastructure assets’ contribution to countries’ economic growth is significantly increasing due to the rapid population growth and demands for public services. These civil infrastructures, including roads, bridges, railways, tunnel…
View article: Application of Machine Learning for real-time Structural Integrity Assessment of Bridges
Application of Machine Learning for real-time Structural Integrity Assessment of Bridges Open
The concept of digital twins (DT)s enhances the traditional structural health monitoring (SHM) by integrating real-time data with digital models for predictive maintenance and decision-making whilst combined with finite element modelling (…
View article: Innovative digital twin with artificial neural networks for real-time monitoring of structural response: A port structure case study
Innovative digital twin with artificial neural networks for real-time monitoring of structural response: A port structure case study Open
View article: Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring Open
Realtime finite element modeling of bridges assists modern structural health monitoring systems by providing comprehensive insights into structural integrity. This capability is essential for ensuring the safe operation of bridges and prev…