000013347 001__ 13347
000013347 005__ 20161114160337.0
000013347 04107 $$aeng
000013347 046__ $$k2009-06-22
000013347 100__ $$aPetrini, F.
000013347 24500 $$aA probabilistic approach to investigate the uncertainty propagation in wind engineering problems

000013347 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013347 260__ $$bNational Technical University of Athens, 2009
000013347 506__ $$arestricted
000013347 520__ $$2eng$$aWind engineering problems are characterized by the significant uncertainty affecting both the acting loads and the structural characteristics. A relevant contribution is given by the uncertainty of the parameters that are usually taken into account to describe both the aerodynamic and/or aeroelastic characteristics of the structure and the wind-structure interaction. Moreover, due to the stochastic nature of wind, significant uncertainty arises from the characterization of the site specific Aeolian hazard. Recently a new engineering discipline with the goal of applying Performance-Based Design (PBD) concepts to wind engineering has been proposed: the so-called Performance-Based Wind Engineering (PBWE). In the framework of PBWE, design has to be carried out always in probabilistic terms; therefore suitable techniques are required to govern the propagation of uncertainty. In the paper, an original classification of the sources of uncertainty in wind engineering is proposed. This classification suggests some assumptions regarding the uncertainty propagation; the formal analytical representation of the propagation is expressed in terms of conditional probabilities. The result of the procedure is a set of probabilistic relations between the stochastic parameters characterizing the input and the structural response. The procedure has been applied to a case study: the design of an offshore wind turbine having a jacket support structure. The probabilistic response of the structure has been investigated and the relative importance of the various sources of uncertainty assessed. The structural analyses have been carried out in frequency domain and the probabilistic characterization of the response parameters has been derived by Monte Carlo simulation. Sensitivity analyses allow to assess the robustness of the probabilistic approach.

000013347 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013347 653__ $$aPerformance-Based Wind Engineering, wind turbines, offshore, uncertainty. Abstract. Wind engineering problems are characterized by the significant uncertainty affecting both the acting loads and the structural characteristics. A relevant contribution is given by the uncertainty of the parameters that are usually taken into account to describe both the aerodynamic and/or aeroelastic characteristics of the structure and the wind-structure interaction. Moreover, due to the stochastic nature of wind, significant uncertainty arises from the characterization of the site specific Aeolian hazard. Recently a new engineering discipline with the goal of applying Performance-Based Design (PBD) concepts to wind engineering has been proposed: the so-called Performance-Based Wind Engineering (PBWE). In the framework of PBWE, design has to be carried out always in probabilistic terms; therefore suitable techniques are required to govern the propagation of uncertainty. In the paper, an original classification of the sources of uncertainty in wind engineering is proposed. This classification suggests some assumptions regarding the uncertainty propagation; the formal analytical representation of the propagation is expressed in terms of conditional probabilities. The result of the procedure is a set of probabilistic relations between the stochastic parameters characterizing the input and the structural response. The procedure has been applied to a case study: the design of an offshore wind turbine having a jacket support structure. The probabilistic response of the structure has been investigated and the relative importance of the various sources of uncertainty assessed. The structural analyses have been carried out in frequency domain and the probabilistic characterization of the response parameters has been derived by Monte Carlo simulation. Sensitivity analyses allow to assess the robustness of the probabilistic approach.

000013347 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013347 720__ $$aPetrini, F.$$iBontempi, F.$$iCiampoli, M.
000013347 8560_ $$ffischerc@itam.cas.cz
000013347 8564_ $$s497775$$uhttps://invenio.itam.cas.cz/record/13347/files/CD511.pdf$$yOriginal version of the author's contribution as presented on CD, section: Robust stochastic analysis, optimal design and model updating of engineering systems - i (MS).
000013347 962__ $$r13074
000013347 980__ $$aPAPER