London Digital Twin Research Centre

In a continuation of a series of Middlesex-Egypt collaborations, London Digital Twin Research Centre (Middlesex University) has won a new Institutional Links grant under the Newton Fund Impact Scheme. The grant is led by Dr. Noha Saleeb, Associate Professor in Digital Technologies and Construction in partnership with Prof. Mohamed Marzouk, Professor of Construction Engineering and Management, Cairo University Egypt. The funding delivered by the British Council supports activities that aid in the development of Egypt’s economy using new digital twin technologies in alignment with the UN’s sustainability goals.

The project will be conducted simultaneously with the case study on Heritage assets in the UK and Egypt for mutual national benefits with the collaboration of industry and government parties namely Historic Environment Scotland, BurroHappold and Ministry of Housing Egypt.

Continue reading “Research Grant on Restoration of Heritage using Digital Twin”

Newton Fund Institutional Links project “Digital Twin Models for Structural Health Monitoring”

On Wednesday 3rd March 2021, the project team will organise a workshop in Hanoi to continue the sharing of the outcomes to the relevant stakeholders and partners in the country.

Several talks and demonstrations on Cloud-based Digital Twin for bridges (both scaled down models in the lab and the actual bridges) will be presented during the event.

Agenda: here

Continue reading “Digital Twin for SHM – Demonstrations and Results”

On 21 January 2021, in a series of dissemination activities of the Newton Fund International Links project ‘Digital Twin for Structural Health Monitoring,’ the Vietnamese partner, University of Transport and Communication (UTC), organised a workshop to present the project outcomes to the local and national science/industrial communities in civil engineering, computer science, geology, and mechanics.

Continue reading “DT Workshop in Hanoi”

At London Digital Twin Research Centre, we have engineered a Digital Twin (DT) model for Structural Health Monitoring, which is able to collect, analyse, and visualise data in a near real-time fashion. The cloud-based DT was trialed at this initial stage on Amazon Cloud services (AWS) (continuously deployed at the following IP address: https://52.14.81.171:5000/ and currently being developed over the Siemens’ Mindsphere platform. For more detail of work flow and main components, read on.

Continue reading “Digital Twin launched for Structural Health Monitoring”

By Lan Nguyen and Dr Thanh Bui (UTC), Newton Fund IL project partner in Vietnam

Since its launch in February 2019, the Newton-funded project “Digital twin model for structural health monitoring (SHM) of lifeline infrastructures in Vietnam” has achieved major milestones, including the data collection and vibration measurement of structures. In the last few months, the Vietnamese partner has conducted vibration measurement of two of the most heavily used bridges in Vietnam- Chuong Duong bridge in the Northern capital Hanoi and Can Tho bridge in the Southern Mekong Delta region. Let us look back at how it was done.

Continue reading “Data Collection for SHM Digital Twin: Vibration Measurement of Bridge Structures”

Our Newton Fund project “Digital twin model for structural health monitoring of lifeline infrastructures in Vietnam” has now advanced into the development stage. The prototype concept of the Digital Twin has been trialled in the lab with a basic bridge model.

The partner in Vietnam, University of Transport and Communications, has organised the Third International Conference on Sustainability in Civil Engineering (ICSCE 2020) in Hanoi on 26th/27th November as one of the planned dissemination events. The Conference Chair, Dr Thanh T. Bui (the project’s PI in Vietnam) has led the committee team and dedicated one session for project topic of “Digital Twin for Structural Health Monitoring,” contributing to the general conference theme “Building a Green Infrastructure for Living.” Continue reading “ICSCE 2020: Digital Twin for Infrastructures in Vietnam”

As part of the project activity funded by the Newton Fund Institutional Links through the U.K. Department of Business, Energy, and Industrial Strategy and managed by the British Council under Grant 429715093, Research paper ” Data-Driven Structural Health Monitoring using feature Fusion and Hybrid Deep Learning ” was accepted for publication in Q1 journal “IEEE Transactions on Automation Science and Engineering” in October 2020.

Toward a Digital Twin model automatically monitoring the operational state of large-scale structures in a near-real-time fashion, it requires a Structural Damage Detection (SDD) approach, both time-efficient, and data-efficient, while still maintaining accurate detection results. Conventional methods either resort to time-consuming sophisticated preprocessing techniques such as experimental modal analysis or data-eager image-based deep learning duplicating multiple times raw measured data. Continue reading “Data-driven structural damage detection approach for Digital twin-Structural health monitoring”

Continue reading “Digital Twin for 5G/Beyond”

Prof. Huan Nguyen, Director of London Digital Twin Research Centre (LDTRC), has today met with Mark Enzer, Head of the National Digital Twin Programme at the Centre for Digital Built Britain (CDBB), to update the ongoing works at the two centres and share latest results on Digital Twin research. 

               

Prof. Nguyen said “It is amazing to find out that the development of a DT framework at our LDTRC to unify different twins is very much aligning with the ‘connecting the Twins’ work task at the National Digital Twin programme. We see great opportunities to work together to achieve common goals set out at both Centres towards developing a national Digital Twin.”

Continue reading “Working towards a National Digital Twin”

by Dr. Hrishikesh Venkataraman, External Collaborator and Project Partner, Indian Institute of Information Technology (IIIT)

The Indian Institute of Information Technology (IIIT), represented by Dr. Hrishikesh Venkataraman and Dr. Raja Vara Prasad, is an international collaborator of the London Digital Twin Research Centre (LDTRC). The research conducted in Sri City, India, aims to support and drive forward the advancements in our Digital Twin for Industry 4.0 project, with an extended focus on anomaly detection mechanisms that can be integrated in the Digital Twin for manufacturing processes.

As part of the project activity funded by the UK-India Education and Research Initiative (UKIERI) and the Department of Science and Technology (DST), India, the research paper “CATS: Cluster-Aided Two-Step Approach for Anomaly Detection in Smart Manufacturing” was accepted for publication in The Fourth International Conference on Computing and Network Communications (CoCoNet’20).

Continue reading “N-Step Approach for Anomaly Detection in Smart Manufacturing”