PhD- Development of mesoscale hydro-chemo-mechanical (HMC) modeling approach for concrete deterioration. (3 Years) University of Nottingham, Department of Engineering United Kingdom

PhD- Development of mesoscale hydro-chemo-mechanical (HMC) modeling approach for concrete deterioration. (3 Years)


Closing Date
Sunday, 30th June 2019


The main aim of this project is to develop a robust computational framework for investigating the hydro-chemo-mechanical aspect of concrete carbonation at meso-scale.


The existing reinforced structures and infrastructure are under continuous deterioration due to environmental actions. Carbonation is one of the most common causes of concrete deterioration as it induces chemical changes in cement paste microstructure, can cause shrinkage and cracking and can also lead to reinforcement corrosion. Reliable estimation of the extent of carbonation and its consequences on the structural performance is critical for taking intervention or repair actions. In order to develop a predictive physics-based model, this study will focus on developing a hydro-chemo-mechanical (HMC) model to capture concrete carbonation at meso-scale. Furthermore, experimental test will be performed to validate the developed model.


Studentship summary
The PhD position is available from 1st October 2018. The studentship covers both tuition fees and a tax-free student stipend at RCUK rates (£14,777 per annum) for 2018/19 academic year. Duration is 3 years.


Due to funding restrictions, this studentship is open to UK/EU candidates only.


Entry requirements
We are seeking an enthusiastic and highly motivated person with good interpersonal skills and a keen interest in research. You must have, or expect to achieve, at least a 2:1 honors degree or a distinction or high merit at MSc level (or international equivalent) in Civil Engineering, Materials science, mathematics or a related subject. Preference will be given to candidates with educational and/or research experience in engineering and materials science. Experience in object-oriented programming (especially with Python or Fortran) would be an advantage, but not essential. The candidate will be expected to have good interpersonal skills.


This studentship is open until filled. Early application is strongly encouraged.


For application, please submit a covering letter and CV to Dr. Bahman Ghiassi ( Further information or enquiries about the vacancy can also be asked from the same contact.

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