CEng MIMechE
Reader, Dean for International Student Recruitment
- About
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- Email Address
- s.sriramula@abdn.ac.uk
- Telephone Number
- +44 (0)1224 272778
- Office Address
School of Engineering, Fraser Noble Building,
University of Aberdeen, Aberdeen, AB24 3UE, United Kingdom.- School/Department
- School of Engineering
- School/Department
- Senior Vice Principals
Biography
Srinivas is currently a Reader in the School of Engineering at the University of Aberdeen. He has joined as a Lecturer in August 2009, before becoming a Senior Lecturer in August 2017. Prior to that, he was a Postdoctoral Researcher (Oct 2006 - July 2009) at the University of Surrey working on CREDO (Composites Reliability from Engineering Design Optimisation) project.
Srinivas received his PhD from the Indian Institute of Technology Madras focusing on Copula based Simulations for Engineering systems. He has a Masters degree in Structural Engineering from MNNIT and was awarded the Sir. Arthur Cotton Gold Medal (2000) by Nagarjuna University, India for securing highest marks in B.Tech (Civil Engineering).Graduated PhD students
• Michael Olatunde, Longevity and fate of left in place offshore pipelines, 2024.
• Abraham Mensah, Performance of pipelines under spatially varying interacting corrosion defects, 2024.
• Salem Okpokparoro, Stochastic response characterization of floating wind turbine support structures, 2022.
• Navid Vosooghi, Rogue Lateral Buckle Initiation in HPHT Subsea Pipelines, 2022; Primary Supervisor: Prof Ana Ivanovic.
• Peter Hyman, Structural behaviour and reliability-based design of prestressed stayed columns, 2021; Primary
Supervisor: Dr Israel Osofero.
• Sadik Omairey, Efficient Multi-scale Reliability Analysis of Fibre Reinforced Composites, 2020; Primary Supervisor: Dr Peter Dunning.
• Reza Aulia, Dynamic reliability analysis for pipeline performance prediction, 2020.
• Alexandre Morató Casademunt, Reliability of Offshore Wind Turbine Support Structures, 2019.
• Mohammad Hedyati, Reliability of Blast Wall Structures, 2019.
• Susmita Naskar, Spatial variability characterization of laminated composites, 2018.
• Siamak Alizadeh, Reliability of Safety Instrumented Systems, 2018.
• Abayomi Obisesan, Stochastic Damage Modelling of Ship-Ship and Ship-Iceberg collisions, 2017.
• Usman Abubakar, Stochastic Approaches for Process Performance Modelling, 2014.External Memberships
- Fellow, Safety and Reliability Society.
- Reviewer for various learned journals.
Prizes and Awards
- Success in Engagement with Industry Award 2021, Principal's Excellence Awards, University of Aberdeen.
- Recipient of the Excellence in Teaching Award (Postgraduate) 2015, College of Physical Sciences, University of Aberdeen.
- Research
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Research Overview
- System safety and reliability modelling.
- Sustainable infrastructure for energy transition.
- Risk based inspection and asset management of engineering structures.
- Stochastic multi-scale mechanics and experimental characterisation of composite materials.
- Machine learning for stochastic spatial variability representation of engineering systems.
- Stochastic finite elements, reliability based optimal design of structures, and related fields.
Research Specialisms
- Structural Mechanics
- Safety Engineering
- Energy Engineering
- Composite Materials
- Risk Management
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
- Publications
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Numerical analysis of pipeline damage due to hydrogen exposure
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsStochastic finite element-based reliability of corroded pipelines with interacting corrosion clusters
Process Safety and Environmental Protection, vol. 187, pp. 206-220Contributions to Journals: ArticlesProbabilistic finite element-based reliability of corroded pipelines with interacting corrosion cluster defects
International Journal of Pressure Vessels and Piping, vol. 207, 105086Contributions to Journals: ArticlesAn investigation on the effect of widespread internal corrosion defects on the collapse pressure of subsea pipelines
Ocean Engineering, vol. 287, no. part 2, 115926Contributions to Journals: ArticlesEstimation of burst pressure of pipelines with interacting corrosion clusters based on machine learning models
Journal of Loss Prevention in the Process Industries, vol. 85, 105176Contributions to Journals: ArticlesProbabilistic Finite Element-Based Reliability of Corroded Pipelines
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.3850/978-981-18-8071-1_P125-cd
A Generic Methodology for Predicting the Longevity of Offshore Infrastructure
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.2118/215506-MS
Neural network based reliability analysis of pipelines with randomly distributed internal corrosion
Contributions to Conferences: Oral PresentationsReliability analysis of floating wind turbine dynamic cables under realistic environmental loads
Ocean Engineering, vol. 278, 114594Contributions to Journals: ArticlesAn approach to improve asset maintenance and management priorities using machine learning techniques
Safety and Reliability, vol. 41, no. 3, pp. 151-169Contributions to Journals: Articles