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PhD Studentships

Please view the drop down list of current PhD Studentship vacancies below;

 

 

 

Connected Construction Sites in Infrastructure Projects: A Digital Twin Solution for Total Project Control

About the Project:

Digitising construction site processes have been partially achieved in infrastructure projects. Digital twin is emerging based on its value proposition that it provides data-driven insights into an asset at all stages of its lifecycle using a variety of data sets from a multitude of sources and professions, in real or near real-time (Dean et al., 2021).

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Layout Planning for Robot-Assisted Construction Operations Using Simulation-Based Digital Twin

About the Project:

Due to advancements in artificial intelligence, sensing and communication technologies, there has been a boost in robot applications within the construction industry, particularly in off-site and Modern Methods of Construction (MMC). Robots (e.g., robot arms and Automated Guided Vehicles (AGVs)) are being utilized to automate labour-intensive and repetitive construction activities such as heavy lifting, assembly, and material handling.

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Enhancing Urban Flood Resilience with Innovative Digital Design Technologies

About the Project:

In England, 3.2 million households are located in areas at risks of urban flooding, with annual damages exceeding £300 million. Due to the extreme environmental conditions, unprecedented downpours across the country in recent years further increases the flooding events on urban road network (URN). Flooding of a small part of the network can result in many thousands of people being stranded and in multi-million damages as experienced on the urban area in recent years.

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A Data-Driven Simulation Approach for Considering Climate Change Impacts in Infrastructure Asset Management

About the Project:

Climate change can significantly impact deterioration and useful life of Infrastructure Assets (IA). The repercussions of these impacts need to be considered for IAM to maintain the resiliency of the critical infrastructure to climate change. Various methods have been developed for modelling infrastructure deterioration using physical, statistical or AI-based models. These methods primarily focus on identifying deterioration rates and predicting the maintenance requirements.

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Enhance the Climate-Resilience of Infrastructure Systems Using Smart Simulation and Adaptive Decision Making

About the Project:

In 2020, the National Infrastructure Commission announced the regulatory obligations for developing resilient infrastructure systems in UK, where it defines “resilience” as the capacity of infrastructure systems (IS) to anticipate, absorb, resist, recover, adapt and transform any disruptive forces (e.g., natural disasters, extreme weather). Along these rising concerns, a continued increase in the frequency and intensity of the climate-induced natural disasters (e.g., flash floods and extreme weather) have made them the most critical risks to the IS.

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