System Effects in Integrity Management of Offshore Structures

Lead Research Organisation: University of Surrey
Department Name: Civil and Environmental Engineering


1. Project Aim
The high-level aim of this project is to develop novel approaches for whole-system, structural integrity management of offshore welded connections, for which fatigue is a credible failure mechanism.
2. Project Objectives
Two current objectives for this project have been identified, and are listed below:
Objective 1: Develop a fatigue model that accounts for system effects, with coherent treatment of uncertainties and dependencies between parameters.
Objective2: Develop a data acquisition framework, which allows for updating based on an improved understanding of a structural system.
3. Project Summary
Opportunities for accounting for system effects in structural integrity management will continue to become more feasible as data acquisition techniques become more widely available and the methods for data interpretation become more computationally tractable.
The novel component of this project will be the development of a consistent, technical approach for quantifying the value of system-level analysis is proposed using Bayesian decision analysis.
System effects proposed for investigation are listed below:
o System effects in degradation models: Suitable approaches for accounting for inter-dependencies between parameters in a probabilistic fatigue are planned to be investigated.
o System effects in operational logistics: Dependencies between inspections, as well as risks associated with completion of maintenance activities are planned to be investigated.
Additional system effects may be reviewed / proposed as the project progresses.
A framework for managing probabilistic models of parameters that influence structural integrity will be developed. These models can be updated as new data becomes available using methods of Bayesian inference. This will allow for system effects to be introduced to the model, and their effects analysed. The project will comment on the extent to which structural integrity management plans can be further optimised by this analysis.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R512217/1 01/10/2017 31/01/2022
1948954 Studentship EP/R512217/1 01/10/2017 25/09/2021 Domenic Di Francesco
Description Application of statistical methods for uncertainty quantification in engineering problems. Specifically, Bayesian methods of optimally pooling information from multiple sources, and quantification of the expected value of inspection activities.
Exploitation Route The methods could be used by engineering projects concerned with either:
- inspection planning, or
- standards development for the assessment of damage in structures.
Sectors Digital/Communication/Information Technologies (including Software),Energy