Sensitivity analysis and its role in pseudo-static design of pile foundations

Haskell, J.J.M.; Cubrinovski, Misko; Bradley, Brendon

doi:10.1016/j.soildyn.2012.05.014

Cited by 6 publications

(2 citation statements)

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“…In this study, the Spearman rank-order correlation coefficient (SROC) is chosen to represent the statistical correlation between the structural response and the design input variables. The SROC is calculated to be (5) where COV(X, x i ) is the covariance of Y and x i , and σ xi and σ Y are the standard deviations of x i and Y, respectively. SROC represents the degree of a linear statistical relationship between two variables.…”

Section: Statistical Correlation Analysis For Key Design Parameter Sementioning

confidence: 99%

“…To achieve a cost-safety balance for the structural design of the foundations of OWTs, a significant amount of studies in terms of analysis and design of tripods have been carried out in recent years including the following studies: Haskell et al [5] adopted a pseudo-static analysis method to explore the effects of statistical variation of the model parameters on the predicted pile response by means of sensitivity analyses. Lozano-Minguez et al [6] used a systematic assessment methodology to select the most preferable configuration among a mono-pile, a tripod, and a jacket considering environmental and economic aspects.…”

Section: Introductionmentioning

confidence: 99%

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Reliability Based Analysis and Design of a Tripod Offshore Wind Turbine Structure Assuring Serviceability Performance

Zhang

Kang

Zhang

et al. 2018

Polish Maritime Research

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Typical tripod foundations are designed using deterministic computational models according to relevant standards and codes. However, for more cost-safety balanced design, uncertainties in significant parameters should be considered in preliminary design to ensure meeting a specific probabilistic safety target in the context of the complex configuration of a tripod structure. In this article, uncertainties associated with design parameters and modelling errors are considered using Monte Carlo simulations, in order to determine the key structural design parameters, and to determine the optimal balance between design parameters and design requirements. A Spearman rank-order correlation based analysis is carried out to understand the effects of design variables on maximum deformation, total weight, and natural frequency, and to have insight about important design parameters for improvement of a preliminary design. It is found that the tower diameter has the most significant effect on the maximum displacement on the hub as validated through engineering case studies. In addition, a statistical framework, which identifies influential design parameters and provides reliability evaluation, is proposed for the structural design of a tripod OWT system. The design cases considered in this study indicate that a simple deterministic design check cannot guarantee the required reliability level of the structure, and the cost-safety balance can be achieved by a reliability analysis with the consideration of the uncertainties in the structure.

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Section: Statistical Correlation Analysis For Key Design Parameter Sementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%