Development of methods for risk assessment of wind turbine support structures and bridges

For both new and existing structures, it is important to be able to take rational decisions on inspections, operation, maintenance and repairs accounting for both uncertainties and consequences. The decisions can be related to both planning at the design stage, as well as decisions during the lifetime of the structure. This can be performed using methods for risk assessment. In this tasks the framework described in the JCSS (Joint Committee for Structural Safety) guideline for risk assessment, will be used as basis. The objective is to develop methods for risk-based assessment for bridges and wind turbines, using information from inspections, sensors and condition monitoring, i.e. to apply data from measurements in rational decision making.

Host institution

AAU – Aalborg University, Aalborg, Denmark

ESR11

Sima Rastayesh

Local academic supervisor

Prof. John Dalsgaard Sørensen (AAU)
jds(at)civil.aau.dk

Industrial co-supervisor

Dr Thierry Yalamas (PHIMECA)

PhD enrolment

Aalborg University
PhD Director: Prof. John Dalsgaard Sørensen

Start date: 1st January 2017
Duration: 36 months

Synopsis

The main aim is to develop methods for risk-based assessment for bridges and wind turbines, using information from inspections, sensors and condition monitoring, i.e. to apply data from measurements in rational decision making.

Objectives

The project for ESR11 has the objectives:

  • Development of methods for risk assessment of wind turbine support structures and bridges.
  • Identification of data from inspections, sensors and condition monitoring systems needed for decision making.
  • Modelling of adverse events (both serviceability and ultimate limit states) and identification of methods and tools for estimation of the probability of the adverse events.
  • Modelling of consequences of adverse events using information from industrial partners.
  • Development of a reference set of typical decision alternatives for application for bridges and wind turbine support structures.
  • Identification and development of illustrative computer tools for decision making.
  • Illustration of the tools for industrial application by representative examples.

Tasks and methodology

  • Development of a risk-based framework for risk assessment of wind turbine support structures and bridges considering especially information from condition monitoring and inspections.
  • Development of illustrative computer tools for decision making.
  • Test and application for wind support structures.
  • Test and application for bridge elements.

Results

  • Framework for risk-based assessment of wind turbine support structures and bridges.
  • Illustrative implementations at real structures: a bridge and a wind turbine.
  • 3 (accepted) peer-reviewed papers.
  • Successfully defended PhD thesis.

Dissemination

  • Three peer reviewed papers.
  • Two presentations at national/international conferences.
  • Presentations at workshops and for potential end-users.

Secondments

  • IFSTTAR
    August & September 2017
    Modelling of data from condition monitoring
  • PHIMECA (Cournon d'Auvergne, France)
    April, May & June 2018
    Decision support tools using probabilistic methods
  • COWI (Kongens Lyngby, Denmark)
    August 2018
    Risk-based tools for design of wind turbine support structures

Research field

Risk analysis, condition monitoring, bridges and wind turbines

Keywords

Reliability, risk analysis, condition monitoring, bridges, wind turbines

Key publications

  • Joint Committee on Structural Safety: Risk Assessment in Engineering Principles, System Representation & Risk Criteria. JCSS Publication, http://www.jcss.byg.dtu.dk/Publications, 2008.
  • Raiffa, H. and R. Schlaifer (1961). Applied statistical decision theory. New York, Wiley (2000).