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Dr Sean Loughney

Dr Sean Loughney

Telephone: 0151 904 1378

website
ORCID

Biography

Dr. Sean Loughney began his post as a Lecturer in Maritime Management in April 2019, within the Liverpool Logistics, Offshore and Marine (LOOM) Research Institute. He received his PhD in Offshore Engineering, from LJMU in February 2018 and his MEng (1st class hons) in Mechanical and Marine Engineering in 2014, also from LJMU. He received the Gordon Robertson Prize 2014 for his performance during his Masters studies and the Deans Prize for Best PhD Thesis 2018, both in LJMU’s Faculty of Engineering and Technology.

Following the submission of his PhD thesis (September 2017), Dr. Loughney joined LJMU as a Post-Doctoral Research Assistant as a Co-Investigator on an Interreg project (ARCWIND) focusing on developing and testing a multiple-attribute decision-analysis methodology for site selection for floating offshore wind farms around the UK. During his PhD/Post-doc, Dr. Loughney also co-authored and contributed to three HSE books (currently awaiting publication):

- Loughney, S., Wang, J., Wall, A., (2018). “Ship/Platform collision incident database (2015)”, the Health and Safety Executive (HSE).

- Wall, A., Loughney, S., Ma, F., Wang, J., (2018). “Collision detection on the UKCS”, the Health and Safety Executive (HSE).

- Pemberton, K., Loughney, S., Wang, J., (2018) “Effective Collision Risk Management for Offshore Installations”, the Health and Safety Executive (HSE).

As well as his teaching responsibilities Dr. Loughney's research interests include the design, operation and safety of maritime engineering systems such as: ships, oil & gas installations and offshore renewable energy structures. As well as marine asset integrity monitoring and management.

Languages

English
German

Degrees

2018, Faculty of Engineering and Technology, LJMU, United Kingdom, PhD, Offshore Engineering
2014, Faculty of Engineering and Technology, LJMU, United Kingdom, MEng (hons), Mechanical and Marine Engineering

Academic appointments

Lecturer Maritime Management, Maritime and Mechanical Engineering, Faculty of Engineering and Technology, LJMU, 2019 - present
Post-Doctoral Research Assistant, Maritime and Mechanical Engineering, Faculty of Engineering and Technology, Liverpool John Moores University, 2017 - 2019

Publications

Journal article

Uğurlu Ö, Yıldız S, Loughney S, Wang J, Kuntchulia S, Sharabidze I. 2020. Analyzing Collision, Grounding, and Sinking Accidents Occurring in the Black Sea Utilizing HFACS and Bayesian Networks. Risk Analysis, DOI Author Url Publisher Url Public Url

Wang X, Liu Z, Zhao Z, Wang J, Loughney S, Wang H. 2020. Passengers' likely behaviour based on demographic difference during an emergency evacuation in a Ro-Ro passenger ship Safety Science, 129 DOI Author Url Publisher Url Public Url

Kartal ŞE, Uğurlu Ö, Kaptan M, Arslanoğlu Y, Wang J, Loughney S. 2019. An analysis and comparison of multinational officers of the watch in the global maritime labor market Maritime Policy and Management, DOI Author Url Publisher Url Public Url

Loughney S, Wang J, Matellini DB. 2018. Utilising Bayesian networks to demonstrate the potential consequences of a fuel gas release from an offshore gas-driven turbine Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, DOI Author Url Publisher Url Public Url

Loughney S, Wang J. 2018. Bayesian network modelling of an offshore electrical generation system for applications within an asset integrity case for normally unattended offshore installations Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 232 :147509021770478-147509021770478 DOI Author Url Publisher Url Public Url

Uğurlu Ö, Yıldız S, Loughney S, Wang J. 2018. Modified human factor analysis and classification system for passenger vessel accidents (HFACS-PV) Ocean Engineering, 161 :47-61 DOI Author Url Publisher Url Public Url

Conference publication

Loughney S, Wang J, Matellini D. 2019. Applying a Bayesian Network methodology to an offshore gas turbine driven power generator to demonstrate the cause and effect relationship of the turbine running over-speed and the associated switchboard failures. Beer M, Zio E. Proceedings of the 29th EUROPEAN SAFETY AND RELIABILITY CONFERENCE (ESREL 2019), :3606-3613 Public Url

Loughney S, Wang J, Matellini DB, Pemberton K. 2018. An investigation identifying trends between the enforcement of offshore safety case regulations and the occurrence of vessel to platform collision incidents Haugen S, Barros S, van Gulijk C, Kongsvik T, Vinnem JE. Safety and Reliability – Safe Societies in a Changing World: Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway, Author Url Publisher Url

Olubitan O, Loughney S, Wang J, Bell R. 2018. An investigation and statistical analysis into the incidents and failures associated with dynamic positioning systems Haugen S. Proceeding of the 28th European Safety and Reliability Conference, ESREL 2018, the 28th European Safety and Reliability Conference, ESREL 2018 :1-7 Publisher Url Public Url

Loughney S, Wang J, Lau D, Minty D. 2016. Asset integrity case development for normally unattended offshore installations: Bayesian network modelling Walls L, Revie M, Bedford T. RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE, 26th Conference on European Safety and Reliability (ESREL) :396-403 Author Url Publisher Url Public Url

Loughney SJ, Davies P, Wang J. Bayesian network modelling for offshore installations: Gas turbine fuel gas release with potential fire and explosion consequences Safety and Reliability. Theory and Application, 27th European Safety and Reliability Conference (ESREL 2017) :2907-2915 DOI Publisher Url

Thesis/Dissertation

Loughney SJ. ASSET INTEGRITY CASE DEVELOPMENT FOR NORMALLY UNATTENDED OFFSHORE INSTALLATIONS Wang J, Matellini D, Nguyen TT. Public Url