Projects per year
Personal profile
Personal Statement
Yevgen Gorash is Research Fellow in the Weir Advanced Research Centre (WARC) - research group which works on a range of collaborative projects with Weir Group, a leading manufacturer of equipment for mining, oil and gas and power industries.
His area of expertise and responsibly includes FE-analysis of structural integrity using advanced approaches within non-linear Mechanics of Materials. Objects of analysis and design optimisation are usually products produced by various divisions and companies of the Weir Group located all over the world.
Managerial responsibilities within WARC and department include implementation of research and knowledge exchange projects, coordination with industrial partners, support of early career researchers and supervision of PhD students.
Expertise & Capabilities
- CAD (SolidWorks, PTC Creo) and CAE (ANSYS, ABAQUS, SolidWorks Simulation/Motion/Flow, PTC Creo Simulate)
- Nonlinear material models (Plasticity and Viscoplasticity, Creep, Fatigue, Hyperelasticity, Unified material models)
- Finite Element Analysis; Continuum Damage Mechanics; Creep or/and Fatigue residual life assessment; Limit / shakedown and ratchetting analyses
Teaching Interests
Teaching assistance with labs on class 16429 – Computer-Aided Engineering Design (CAED) for 4th year students of Mechanical & Aerospace Engineering.
Research Interests
Current research interests comprise study and modelling of non-linear material behaviour: Plasticity and Viscoplasticity, Creep, Fatigue, Hyperelasticity, Unified material models. These non-linear material effects are applied to the residual life assessments of engineering structures subject to severe loading conditions using FEA and concepts of Continuum Damage Mechanics.
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
Doctor of Engineering, Martin-Luther-University Halle-Wittenberg
Award Date: 1 Jan 2008
Master of Engineering, National Technical University “Kharkiv Polytechnic Institute”
Award Date: 1 Jan 2004
Keywords
- Fatigue
- Creep
- Plasticity
- Hyperelasticity
- Damage
- Residual Life
- Structural Integrity
- Stress Analysis
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Network
Projects
- 8 Finished
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Doctoral Training Partnership (DTP 2016-2017 University of Strathclyde) | Connolly, Stephen
MacKenzie, D., Gorash, Y. & Connolly, S.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/16 → 22/06/20
Project: Research Studentship - Internally Allocated
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Design optimisation of of swellable elastomeric seals using advanced material modelling and FEM simulations with HPC
Gorash, Y., Bickley, A. & Gozalo, F.
1/09/16 → 31/08/18
Project: Knowledge Exchange
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Frequency effects in ultrasonic fatigue testing (UFT) of Q355B structural steel
Milne, L. A., Gorash, Y., Comlekci, T. & MacKenzie, D., 3 Jan 2023, In: Procedia Structural Integrity. 42, p. 623-630 8 p.Research output: Contribution to journal › Conference Contribution › peer-review
Open AccessFile2 Downloads (Pure) -
Structural steel crack propagation experimental and numerical analysis
Comlekci, T., Marin Perez, J., Milne, L., Gorash, Y. & MacKenzie, D., 3 Jan 2023, In: Procedia Structural Integrity. 42, 2022, p. 694-701 8 p.Research output: Contribution to journal › Conference Contribution › peer-review
Open AccessFile13 Downloads (Pure)
Datasets
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Design optimisation of swellable elastomeric seals using advanced material modelling and FEM simulations
Gorash, Y. (Creator), University of Strathclyde, 12 Dec 2016
DOI: 10.15129/a8785137-a083-4c15-bf2b-7d892d7663d7, http://www.iom3.org/rubber-engineering-group/event/innovations-rubber-design
Dataset
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Data for: "Numerical modelling of rubber hyperelasticity: parameter identification and finite element implementations"
Connolly, S. (Creator), MacKenzie, D. (Supervisor) & Gorash, Y. (Supervisor), University of Strathclyde, 24 Jun 2020
DOI: 10.15129/006b5a11-c4f9-4e30-aea5-d722d072b3a5
Dataset