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Centre for Digital Built Britain

 
Read more at: Integrating models of the built and natural environment

Integrating models of the built and natural environment

17 June 2021

Cross-discipline collaboration, cultural barriers and compelling questions. Better data can help us understand the complex interactions between the urban systems we create and the natural systems in which they operate. Such an understanding would underpin our ability to meet important environmental targets such as Net Zero...

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Read more at: Research Profile - Staffordshire Bridges – long-term performance monitoring using fibre optic sensors

Research Profile - Staffordshire Bridges – long-term performance monitoring using fibre optic sensors

25 January 2021

A major rail upgrade programme to remove a bottleneck on the West Coast Main Line saw collaboration between Atkins, Laing O’Rourke, Volker Rail and Network Rail. The Stafford Area Improvement Programme included construction of a number of new bridges designed by Atkins using Building Information Modelling (BIM) from the...

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Dr Miguel Angel Bravo-Haro

Research background

I completed my Ph.D. in Earthquake Engineering in 2018 at Imperial College London. I have experience in computational methods for the characterisation of nonlinear structural behaviour and structural dynamics. Additionally, I have worked on probabilistic methods, data-visualisation, software development, information theory, cloud computing, and hardware development for structural health monitoring.

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Dr Farhad Huseynov

Research background

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Gabriel Martin Hernández

Research background

PhD. Gabriel Martin was a Predoctoral Research Associate with the Hyperspectral Computing Laboratory Cáceres (Spain) and Postdoctoral Researcher in "Instituto de Telecomunicaçoes" Lisbon, Portugal. His research interests include remote sensing image processing, specifically the areas of hyperspectral unmixing and hyperspectral compressive sensing, as well as the efficient processing of remote sensing images in High Performance Computing architectures such as GPUs.

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Dr Matthew Danish

Research background

Matthew Danish is a Research Associate within the Networks and Operating Systems group of the Systems Research Group in the Department of Computer Science and Technology. He is interested in systems verification, sensor networks, machine learning, infrastructure and the built environment.

CDBB projects involved with

West Cambridge Digital Twin

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Read more at: Digital Energy Estimation Tool (DEET)

Digital Energy Estimation Tool (DEET)

How can buildings’ energy use and embodied energy both be optimized at the design stage? This project aims to enable the generation of real-time data from operational energy use and from energy embedded in building components. It will do this through 3-D computing paradigm at an early building...

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Read more at: Analysing Systems Interdependencies using a Digital Twin

Analysing Systems Interdependencies using a Digital Twin

This project investigates how to understand infrastructure complexity, using the digital twin. This work provides a first step toward next-generation systems engineering by demonstrating the feasibility of using a digital twin to generate new insight on systems relationships and interdependencies. ...

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Read more at: Adaptive Design of Supported Excavations

Adaptive Design of Supported Excavations

This project aimed to fully document and make available the automated back analysis tool developed to support commercial implementation, as well as investigate barriers to the adoption of data-driven adaptive design in practice through a targeted workshop. It provides guidance on future research...

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Read more at: Digital Modelling of the Evolution of the Built Form in Britain

Digital Modelling of the Evolution of the Built Form in Britain

In this project we define ‘built form’ as the assemblage of individual buildings and structures in the built environment and we make use of a wide range of new insights and data to model the evolution of the built form in Britain. Building on the pilot CDBB project PolyChora, which has developed an...

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