Courses » Risk and Reliability Of Offshore Structures

Risk and Reliability Of Offshore Structures


Considering the importance of offshore structures, one has to recognize that there are other intrinsic uncertainties such as material properties, analysis methods, design procedures etc, which are addressed rationally. A detailed knowledge of reliability of offshore structures using probabilistic tools becomes need of the hour for both industry and academia. Offshore activities, on one hand, lead to increase in societal wealth, and, on the other hand, make society vulnerable to risks. An offshore engineer is usually accountable for the decisions that he takes. A hallmark of professionalism is to quantify the risks and benefits involved. The present course aims to introduce the basics of the structural reliability analysis procedures. The Registrants would benefit from the course by learning the basics of reliability-based design and principles underlying code calibration, which would provide the groundwork to embark upon research in this field. Key focus will be on safety and reliability issues of offshore facilities during analysis and design, inspection and planning.


Engg faculty, students & researchers
Core course for branches of engg at PG level
Elective course for branches of engg at UG level
Elective at Diploma level


UG/PG/Ph.D of all engg branches and PG of applied sciences; Diploma students can also register


All academic institutes, all consultancy organizations like Technip, L&T, DNV etc.


Srinivasan Chandrasekaran is currently a Professor in the Dept. of Ocean Engineering, Indian Institute of Technology Madras, India. He has teaching, research and industrial experience of about 23 years during which he has supervised many sponsored research projects and offshore consultancy assignments both in India and abroad. His active areas of research include dynamic analysis and design of offshore platforms, Development of geometric forms of complaint offshore structures for ultra-deep water oil exploration and production, sub-sea engineering, Rehabilitation and retrofitting of offshore platforms, structural health monitoring of ocean structures, seismic analysis and design of structures and risk analyses and reliability studies of offshore and petroleum engineering plants. He has been also a visiting fellow under the invitation of Ministry of Italian University Research to University of Naples Federico II, Italy for a period of two years during which he conducted research on advanced nonlinear modelling and analysis of structures under different environmental loads with experimental verifications. He has about 110 research publications in International journals and refereed conferences organized by professional societies around the world. Seven text books authored by him are quite popular amongst graduate students of civil and ocean engineering and recommended as reference material for class room studies and research as well. He also delivered Six web-based courses namely: i) Dynamic analysis of ocean structures (Both MOODLE and NPTEL); ii) Ocean structures and materials; iii) Advanced marine structures; and iv) Health, safety & Management in offshore and petroleum engineering (Both MOODLE and NPTEL). He is a member of many National and International professional bodies and delivered many invited lectures and key note address in the international conferences, workshops and seminars in India and abroad.


Senior Research Scholar,
Department of Ocean Engineering, IIT Madras
Areas of Interest: Dynamic analysis of offshore compliant platforms, Design of offshore structures, Computer methods of analysis of structures, Risk and reliability of structures.

Venkata Kiran,
Senior Research Scholar,
Department of Ocean Engineering, IIT Madras
Areas of interest: Quantitative risk analysis, Reliability availability and maintainability.


Week 1: Introduction to reliability
Week 2: Rules of probability
Week 3: Random variables 
Week 4: Levels of reliability
Week 5: Reliability methods
Week 6: System reliability
Week 7: Reliability - Application problems
Week 8: Variables in reliability analysis
Week 9: Fatigue reliability
Week 10: Risk Assessment
Week 11: Risk analysis methods
Week 12: Risk and Hazard


a) Text books:
1. Almond R.G. An extended example for testing graphical belief, Technical Report No. 6.1992.
2. Chakrabarti, S.K. 1990. Non-linear Method in Offshore Engineering, Elsevier Science Publisher, The Netherlands.
3. Chakrabarti, S.K. 1994. Offshore Structure Modeling: World Scientific, Singapore.
4. Chandrasekaran, S. and Bhattacharyya, S.K. 2011. Analysis and Design of Offshore Structures. HRD Center for Offshore and Plant Engineering (HOPE), Changwon National University, Republic of Korea, pp. 285.
5. Cowell RG, Dawid AP, Lauritzen SL, Spiegelhalter DJ. Probabilistic networks and expert systems. New York: Springer; 1999.
6. Gelman A, Carlin JB, Stern HS, Rubin DB. Bayesian data analysis. London: Chapman & Hall; 1995. p. 1-526.
7. Halder, A. and Mahaderan, S., “First order and Second order Reliability Method” Probabilistic Structural Mechanics Hand Book, Edited by C. (Raj) Sundararajan, Chapman and Hall, PP. 27-52, 1995.
8. Jensen FV. Bayesian networks and decision graphs. New York: Springer; 2001.
9. Pearl J. Probabilistic reasoning in intelligent systems. San Francisco, CA: Morgan Kaufmann; 1988.
10. Srinivasan Chandrasekaran. 2014. Advanced Theory on Offshore Plant FEED Engineering, Changwon National University Press, Republic of South Korea, pp. 237. ISBN:978-89-969792-8-9
11. Srinivasan Chandrasekaran. 2015. Advanced Marine structures, CRC Press, Florida, ISBN 9781498739689
12. Srinivasan Chandrasekaran. 2015. Dynamic analysis and design of ocean structures. Springer. ISBN: 978-81-322-2276-7.
13. Srinivasan Chandrasekaran. 2016a. Offshore structural engineering: Reliability and Risk Assessment. CRC Press, Florida, ISBN:978-14-987-6519-0 

 Research articles
1. Arnasaki S, Takagi Y, Mizuno 0, Kikuno T. A Bayesian belief network for assessing the likelihood of fault content. In: Proceedings of the 14th international symposium on software reliability engineering; 2003. p. 215-26.
2. Barlow RE. Using influence diagrams. Accelerated Life Testing and Experts' Opinions in Reliability 1988:145-50.
3.Bobbio A. Portinale L. Minichino M. Ciancamerla E. Improving the analysis of dependable systems by mapping fault trees into Bayesian networks.   Reliab Eng Syst Saf 2001:71(3):249-60.
4.Boudali H, Dugan JB. A continuous-time Bayesian network reliability modeling, and analysis framework. IEEE Trans Reliab 2006:55(1):86-97.
5.Box, G. E. P., and Tiao, G. C., “Bayesian Inference in Statical Analysis”, Addison-Wesley, Reading, MA 1973.
6.Breitung, K., “Asymptotic Approximation for Multi-normal Integrals”, Journal of Engineering Mechanics Division, ASCE, 110(3), PP. 357-366, 1984
7.Cooper GF, Herskovits E. A Bayesian method for the induction of probabilistic networks from data. Mach Learn 1992:9(4):309-47.
8.Gopal C, Kuolung H, Nader A. A new approach to system reliability. IEEE Trans Reliab 2001:50(1):75-84.
9.Cornel, C. A., “A Probability Based Structural Code”, Journal of the American Concrete Institute, 66(12), PP. 974-085, 1969.
10.Coyle T. Arno RG. Hale PS. Application of the minimal cut set reliability analysis methodology to the gold book standard network. In: Proceedings of the industrial and commercial power systems technical conference; 2002. p. 82-93.
11.Dahll G. Gran BA. The use of Bayesian belief nets in safety assessment of software based systems. Special Issues Int J Intelligent Inf Syst 2000;24(2): 205-29.
12.Der Kiureghian, Lin, H. Z., and Hwang, S. F., “Second order Reliability Approximation”, Journal of Engineering Mechanics Division, ASCE, 113(8), PP. 1208-1225, 1987.
13.Fenton N. Krause P. Neil M. Software measurement: uncertainty and causal modeling. IEEE Software 2002;10(4):116-22.
14.Fiessler, B., Neumann, H. J., and Rackwitz, R., “Quadratic Limit States in Structural Reliability”, Journal 0of Engineering Mechanics Division, ASCE, 105(4), PP. 661-676, 1979.
15.Ghokale S, Lyu M, Trivedi K. Reliability simulation of component based software systems. In: Proceedings of the international symposium on software reliability engineering (ISSRE'98); 1998.
16.Ghokale S, Wong E, Trivedi K, Horgan JR. An analytical approach to architecture based software reliability prediction. In: Proceedings of the symposium on application specific systems and software engineering technology (ASSET '98). TX: Dallas; 1998.
17.Gran BA, Helminen A. A Bayesian belief network for reliability assessment. Safecornp 2001 20012187:35-45.
18.Gran BA. Dahill G. Eisinger S. Lund EJ, Norstrom JG. Strocka P. Ystanes BJ. Estimating dependability of programmable systems using Bbns. In: Proceed-ings of the Safecornp 2000. Berlin: Springer; 2000. p. 309-20.
19.Helminen A, Pulld<inen U. quantitative reliability estimation of a computer-based motor protection relay using Bayesian networks. Safecomp 2003;2788:92-102.
20.Helminen A. Reliability estimation of software-based digital systems using Bayesian networks. Technical Report. Helsinki University of Technology Espoo, 2000. p. 1-50.
21.Herald T, Ramirez-Marquez JE. System element obsolescence replacement optimization via life cycle cost forecasting. NJ: Hoboken; 2007 'Technical report, Stevens Institute of Technology].
22.Hugin Expert. (2007), Aalborg, Denmark <http://www.hugin.dk> (2008).
23.Krishnarnurthy S. Mathur AP. On the estimation of reliability of a software system using reliabilities of its components. In: Proceedings of the in the international symposium on software reliability engineering ISSRE '97).  NM: Albuquerque; 1997. p. 146.
24.Lagnseth H, Portinale L. Bayesian networks in reliability. Tech Rep 2005.
25.Littlewood B. Popov P. Strigini L. Assessment of the reliability of fault-tolerant software: a bayesian approach. In: Proceedings of the 19th international conference on computer safety, reliability and security (SAFECOMP 2000). Berlin: Springer; 2000
26.Pant K, Brandt S. Null convention logic, a complete and consistent logic for  asynchronous digital circuit synthesis. In: Proceedings of the international conference on application specific systems, architectures, and  processors (ASAP '96); 1996. p. 261-73.
27.Rackwitz, R., and Fiessler, B., Note on Discrete Safety Checking When Using Non-Normal Stochastic Models for Basic Variables. Loads Project Working Session. Cambridge, Massachusetts: Massachusetts Institute of Technology. 1976.
28.Serene-Safety and Risk Evaluation Using Bayesian Nets, (2006), <http:// www.hugin.d k/serene/ > (2008).
29.Shinozuka, M., “Basic Analysis of Structural Safety”, Journal of the Structural Division, ASCE, 109(3), PP. 721-740, 1983.
30.Sigurdsson JH, Walls LA, Quigley JL. Bayesian belief nets for managing expert  judgment and modeling reliability. Qual Reliab Eng Int 2001;17:181-90.
31.Spiegelhalter D. Thomas A. Best N. Gilks W. Bugs 0.5 Bayesian inference using Gibbs sampling manual (Version Ii). MRC Biostatistic Unit 1996;1:1-59.
32.Tvedt, L., “Distribution of Quadratic forms in Normal Space-Application to Structural Reliability”, Journal of the Engineering Mechanics Division, ASCE, 116(6), PP. 1183-1197, 1990.

  • The exam is optional for a fee.
  • Date and Time of Exams: April 28 (Saturday) and April 29 (Sunday) : Afternoon session: 2pm to 5pm
  • Exam for this course will be available in one session on both 28 and 29 April. 
  • Registration url: Announcements will be made when the registration form is open for registrations.
  • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published.


  • Final score will be calculated as : 25% assignment score + 75% final exam score
  • 25% assignment score is calculated as 25% of average of Best 8 out of 12 assignments
  • E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of NPTEL and IIT MADRAS. It will be e-verifiable at nptel.ac.in/noc.