Risk Analysis and Structural Reliability

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Risk Analysis and Structural Reliability Training

ABOUT THE COURSE

The course aims to provide participants with an understanding of the fundamental elements of risk analysis and structural reliability. It will also introduce the concepts of uncertainty modelling in load and strength applications. Practical applications for the safety assessment of engineering structures, considering the key techniques involved, will be highlighted. Emphasis will be on the use of reliability engineering methods in offshore and marine structures.

The syllabus will include: basic elements of the safety case concept, hazard identification techniques, risk assessment, risk reduction, safety management systems, and uncertainties in load and strength predictions, structural reliability and the goal-setting approach to safety.

The course is intended for practicing engineers and research scientists who need to understand the concepts behind risk analysis and structural reliability, to interact with experts in safety management or to begin to undertake a more extensive study of the subject.

WHO SHOULD ATTEND

Engineers, managers and scientists involved in design, assessment and management of a wide range of engineering structures. Personnel from Local Authorities, major facilities operating companies will benefit from attending this course.

Previous participants: Lloyds Register, Germanischer Lloyd, LMS International, Fraser Nash Consultants, CTO, ABS, DNV, Defence R&D Canada, NAVANTIA, Zagreb Uni, Italian Defence, Uni. Of Genoa, Loughborough Uni. Virgin Tech., COPPE, MoD, Uni. Of Newcastle, MCA, QinetiQ.

PROGRAMME

Day 1

08.30 – 09.00 Delegate Registration
09.00 – 10.30 Lecture 1:Introduction to Probability – Professor John Quigley
10.30 – 10.45 Break
10.45 – 12.15 Lecture 2:Reliability Modelling – Professor John Quigley
12.15 – 13.30 Lunch
13.30 – 15.00 Lecture 3: Tools and Techniques – Professor John Quigley
15.00 – 15.30 Break
15.30 – 17.00 Lecture 4: Workshop Exercises – Professor John Quigley

Day 2

9.00 – 10.30 Lecture 5: Structural Reliability Analysis I – Professor PK. Das
10.30 – 10.45 Break
10.45 – 12.15 Lecture 6: Structural Reliability Analysis II – Professor P.K. Das
12.15 – 13.30 Lunch
13.30 – 15.00 Lecture 7: Structural Reliability Tutorial – Professor P.K. Das
15.00 – 15.30 Break
15.30 – 17.00 Lecture 8: Structural Reliability Analysis Software: Background & Demonstration – Professor PK Das

Day 3

09.00 – 10.30 Lecture 9: – Application to Ship & Offshore Structure Design – Professor PK Das
10.30 – 10.45 Break
10.45 – 12.15 Lecture 10: Monte Carlo Simulation – Dr S Sriramula
12.15 – 13.30 Lunch
13.30 – 15.00 Lecture 11: Application to Subsea Systems – Dr S Sriramula
15.00 – 15.30 Break
15.30 – 17.00 Lecture 12: Reliability Based Code Development – Dr S Sriramula
17.00 Closure

ABOUT THE LECTURERS:

Professor Purnendu Das. – BE, ME, PhD, C.Eng, C.MarEng, FRINA, FIStructE, FIMarEST has been the Director of ‘ASRANet Ltd’ (an ISO 9001-2008 certified spin out company of the Universities of Glasgow and Strathclyde) from its inception in February 2006. He recently retired as Professor of Marine Structures in the Department of Naval Architecture & Marine Engineering at the University of Strathclyde, UK. Past EU projects were MARSTRUCT (a network of excellence on Marine Structure) and SHIPDISMANTL (a cost effective and environmentally friendly dismantling of ship structures). Past industrial projects included work from the UK Health and Safety Executive (HSE), MoD UK, Subsea-7 UK, Shell, Woodgroup and US Navies etc. He was the principal investigator of many EPSRC projects. Before joining the University of Glasgow in 1991 he worked with British Maritime Technology as Principal Structural Engineer (1984-91). He is the author of more than 250 publications, including contract reports and more than 60 journal papers and is a member of the editorial boards of the ‘Journal of Marine Structures’, ‘Journal of Ship & Offshore Structures’, ‘Journal of Engineering under Uncertainty: Hazards, Assessment and Mitigation’ and ‘Journal of Ocean and Climate System’ amongst others. His areas of research include limit state design and analysis & reliability analysis of ship & offshore structures. Professor Das has wide ranging industrial and academic contacts and has advised and supervised 20 PhD students, to his credit. Details of visits and collaborations include his various sabbatical study periods spent at University of California, Berkeley, USA (July – September 1996), at Lloyd’s Register of Shipping (August 1997), Kockums Ltd (July 1998) and spent some time at Instituto Superior Técnico (IST), Lisbon (July 2000). He has been running various successful CPD courses which are attracting many people from different industries. These courses are on ‘Fatigue & Fracture Analysis’, ‘Ships at Sea’, ‘Advanced Analysis and Design of Offshore Structures’, ‘Offshore Floating System Design’, ‘Structural Response under Fire and Blast Loading’ and ‘Design of Pipelines and Risers’ amongst others. He was a member of ISSC (International Ship and Offshore Structure Congress) for the periods of 1991-97 and 2003-2006. He was a member of the OMAE (Offshore Mechanics and Arctic Engineering) Organising Committee on ‘Safety and Reliability’. He has organised six ASRANet International Conferences in 2002 (Glasgow), 2004 (Barcelona), 2006 (Glasgow), 2008 (Athens), 2010 (Edinburgh) and 2012 (London) where a large number of participants from various countries attended. The theme of the conference is the integration of risk, advanced structural analysis and structural reliability analysis as applicable to various engineering structures.

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Prof. John Quigley – gained a BMath in Actuarial Science from the University of Waterloo, Canada and a PhD in Management Science from the University of Strathclyde. John’s main research interests lie in the development of models to support decision-making under uncertainty. He is interested in the acquisition of different data, both objective and expert judgement, and its integration within a common stochastic framework to facilitate decision-making. He was an investigator on the REMM (Reliability Enhancement Models and Methods) project, where he developed stochastic models, processes for data analysis and elicitation of expert judgement to support the decision making concerning the design and development of reliable aerospace systems. His work on reliability growth modelling and inference makes a core contribution to international standards IEC 61164 and forms part of BS5760. John has extensive experience with military, aerospace and railway industries and has been involved in consultancy with companies such as MoD, DSTL, RSSB, BAE SYSTEMS, Goodrich, Siemens and NASA.

Dr Srinivas Sriramula – is a Lecturer in Safety & Reliability in the School of Engineering at the University of Aberdeen since August 2009. Prior to that, he was a Postdoctoral Researcher at the University of Surrey on the CREDO (Composites Reliability from Engineering Design Optimisation) project. He has received PhD from the Indian Institute of Technology Madras focusing on Copula based Simulations for Engineering systems and have a Master’s degree in Structural Engineering and a Bachelor’s degree in Civil Engineering. His current research interests are in Modelling and updating the reliability of subsea structures based on intelligent monitoring systems, Safety analysis and stochastic modelling for renewable energy facilities and in the Multi-scale stochastic mechanics of composites. He has published a number of papers in peer-reviewed journals and conferences. He is presently involved in different projects assessing the reliability of subsea systems in a risk based framework

Duration: 3 Days

Cost: £650 + VAT

Risk Analysis and Structural Reliability Training Aberdeen, Glasgow, Edinburgh, Inverness, Dunfermline and other sites throughout the UK including onsite closed company courses are available.

Risk Analysis and Structural Reliability Training Saudi Arabia, Bahrain, Kuwait, Qatar, Abu Dhabi, Dubai, India, Ghana and Nigeria is also available.

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