Projects per year
Personal profile
Research interests
Gerrit Meijer is a lecturer in Geotechnical Engineering in the Department of Architecture and Civil Engineering. He joined the University of Bath in 2019, after working as a Postdoctoral Research Associate at the School of Science and Engineering at the University of Dundee (2016-2019).
He holds a PhD in Civil Engineering (Geotechnical Engineering), awarded by the University of Dundee in 2016. He graduated with an MSc (with distinction) in Civil Engineering from Delft University of Technology in 2012, after successfully obtaining a BSc in Civil Engineering at the same institution.
Gerrit’s primary research focusses on the behaviour of soils reinforced by plant roots and artificial fibres. He uses a wide range of investigative techniques (field work, soil element testing, physical modelling, analytical modelling and constitutive modelling) to understand how the mechanical behaviour of such soils differs from more common soil types, how this can be quantified both in the field and the laboratory, and how this behaviour can be modelled. He aims to provide practical guidance and tools that can be used for the management of natural slopes, linear infrastructure assets and erosion-type problems.
Willing to supervise doctoral students
- Reinforcement of soil by plant roots
- Fibre-reinforcement
- Shallow slope stability
- Mechanical behaviour of peat
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Civil Engineering, Doctor of Philosophy, New methods for in situ measurement of mechanical root-reinforcement on slopes
1 Jan 2013 → 31 Jul 2016
Award Date: 1 Oct 2016
Civil Engineering, Master of Science, Delft University of Technology
1 Sept 2010 → 1 Sept 2012
Award Date: 1 Sept 2012
Civil Engineering, Bachelor of Science, Delft University of Technology
1 Sept 2006 → 31 Jul 2010
Award Date: 1 Sept 2010
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Collaborations and top research areas from the last five years
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Modelling for Natural Flood Risk Management
Zang, J., Bryant, L., Kjeldsen, T. & Meijer, G.
1/09/20 → 31/08/22
Project: UK charity
Research output
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Root reinforcement: continuum framework for constitutive modelling
Meijer, G. J., Muir Wood, D., Knappett, J. A., Bengough, G. A. & Liang, T., 31 Jul 2023, In: Geotechnique. 73, 7, p. 600-613Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (SciVal)26 Downloads (Pure) -
DRAM: A three-dimensional analytical model for the mobilisation of root reinforcement in direct shear conditions
Meijer, G., Knappett, J. A., Bengough, G. A., Bull, D., Liang, T. & Muir Wood, D., 30 Jun 2022, In: Ecological Engineering. 179, 106621.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
Modelling of stress transfer in root-reinforced soils informed by four-dimensional X-ray computed tomography and digital volume correlation data
Bull, D., Smethurst, J., Meijer, G., Sinclair, I., Pierron, F., Roose, T., Powrie, W. & Bengough, G., 31 Jan 2022, In: Proceedings of the Royal Society A. 478, 2257, 20210210.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (SciVal) -
Root-Soil Interaction
Kolb, E., Quiros, M., Meijer, G., Bogeat-Triboulot, M-B., Carminati, A., Ando, E., Sebille, L. & Anselmucci, F., 9 Sept 2022, Soft Matter in Plants: From Biophysics to Biomimetics. Jensen, K. & Forterre, Y. (eds.). Royal Society of Chemistry, p. 165-202Research output: Chapter or section in a book/report/conference proceeding › Chapter or section
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A generic form of fibre bundle models for root reinforcement of soil
Meijer, G., 30 Nov 2021, In: Plant and Soil. 1-2, p. 45-65 21 p.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (SciVal)
Datasets
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GJMeijer/FBMcw
Meijer, G. (Creator), Zenodo, 24 May 2021
DOI: 10.5281/zenodo.4783493, https://github.com/GJMeijer/FBMcw
Dataset