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Construction Noise Management for Off-site Assembled Volumetric Housing

   School of Science, Engineering and Environment

  , Prof Peter McDermott  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The aim of this project is to deliver a robust, vertically integrated method for the management of the impact of construction noise for off-site assembled volumetric housing systems. Off-site assembled volumetric housing systems offer the potential to provide high-quality affordable living and to create sustainable, resilient urban communities. Developed through a desire to deliver higher quality, better-performing homes across the social scale, the off-site solution is digitally optimised, integrated by a mature supply chain and delivered through a simplified assembly methodology.

Utilising an adaptable, flexible design, an off-site housing solution can be tailored to location, context and community aspirations. However, noise is a major issue in the construction process, affecting workers on-site and the surrounding community. Night works can become major causes of social friction. Traditional noise assessments have often been desk-based and made without reference to specific features of a project’s site, meaning they quickly prove inaccurate. There are regulations to meet and limits to stay within. This means that when noise becomes a site issue, delays and costs can quickly mount.

The objectives of the study are to:

  1. Advance auralisation techniques to provide an ecologically valid experience for virtual listening tests.
  2. Define the measurement of representative construction noise levels for off-site assembled housing system processes for use as a noise baseline.
  3. Develop a consistent method for construction noise assessment for off-site assembled volumetric housing.

Candidates will need a 1st class or high 2:1 honours degree in a relevant subject such construction, engineering or a physical science. As most of the project will require application of environmental acoustics and subjective response, a willingness to develop a good understanding of these methods is essential. Additionally, a good understanding of engineering mathematics and statistics is desirable.

For informal inquiries contact Professor David Waddington via

How to apply:

Submit a formal application at this link: 

 You will need to have the following documents ready to upload to the application site:

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