Skip to main content

Sh.27.7 Predicting Explosive Blast-induced Noise (with Blastech)

Categories:

Project outline

*only available for UK and EU nationals*

This project aims to better understand the hazard posed by explosive blast noise by developing improved techniques. This will involve running experiments and data analysis to understand how sounds decay is affected by environmental factors. 

Further project information

Whilst the blast generated by an explosion is well known, how this blast pressure decays into an acoustic wave is not as well defined. The project aims to develop a model that can bridge the gap between explosive blast pressure (which previous work has been shown to be fully quantifiable and predictable) and acoustic noise further afield. By being able to predict noise based on expected blast pressures this will pave the way for a generalizable model for blast noise which could be used at any explosive range across the world.

The project involves using audio recording equipment to record noise from explosive blast trials at the Buxton blast and impact site. Recording will be conducted at a range of distances and initially analysed using an existing noise model, which can then be calibrated for site-specific use at Blastech. We have gained permission to use the Health and Safety Executive’s range (also at Buxton) to extend the model, allowing us to use increased charge sizes as well as vary the local topology surrounding a charge, which has, for close-in readings, been shown to have a significant impact on the sound pressure generated. It is envisaged that the quantification of the ground surface/cover between an explosion and measurement point will form a large part of the experimental investigation and enable future predictive work.

The project will be industrially funded (50%) by Blastech, a University of Sheffield spin-out company who operate commercial testing from the Buxton blast and impact site.

We are committed to building a diverse research community. We particularly welcome applications from women and other groups under‑represented in academia. All appointments are made on merit. The project offers a supportive supervisory team, access to mentoring (both in the group as well as wider in the University) and a collaborative research environment. If you’re enthusiastic about the topic but unsure whether you meet every requirement, we encourage you to apply.

Required technical skills/academic qualifications/experience 

A minimum 2.1 or higher in an undergraduate degree or a relevant master’s degree in Physical Sciences/Engineering or related areas.  

Applicants must be UK or EU nationals and eligible for UK Security Clearance.

We value a willingness to learn in curious and motivated individuals. We particularly encourage applications from women and other groups under‑represented in research. All appointments will be made on merit.   

Mode of attendance

Successful applicants are expected to register as full-time students. However, eligible UK home fees applicants may request to be considered for part-time mode of attendance by the supervisory team.

Supervisors

Project Partners

This project is hosted at the University of Sheffield and supported by Blastech Limited.

University of Sheffield logo