دانلود Dynamic stability analysis of pipeline based on reliability using surrogate model

ترجمه فارسی Dynamic stability analysis of pipeline based on reliability using surrogate model
قیمت : 1,150,000 ریال
شناسه محصول : 2008956
نویسنده/ناشر/نام مجله : Journal of Marine Engineering & Technology
سال انتشار: 2013
تعداد صفحات انگليسي : 11
نوع فایل های ضمیمه : pdf+word
حجم فایل : 1 Mb
کلمه عبور همه فایلها : www.daneshgahi.com
عنوان انگليسي : Dynamic stability analysis of pipeline based on reliability using surrogate model

چکیده

Abstract

The surrogate model is applied to a reliability analysis of the stability of untrenched pipelines. Experience has shown that the stability of a pipeline is sensitive to a number of variables associated with soil properties, structural modelling, and hydrodynamic loads. Because uncertainties are unavoidable in these key design parameters, it is vital to evaluate pipeline instability failure using a probabilistic approach. However, a reliability analysis of on-bottom stability in the time domain is often a very computationally expensive process. The stability of a pipeline exposed to time-varying environmental loads is a highly nonlinear phenomenon with pipe–soil–fluid interactions. In this work, surrogate model technology was utilised to realise the reliability analysis which is also quite time consuming.  A Fourier model was used to calculate the hydrodynamic forces acting on a pipeline. The surrogate model was constructed using experiment sampling and, in conjunction with a Monte Carlo simulation, was employed to perform the reliability evaluation. Moreover, the influences of various random variables on pipeline instability are discussed through a sensitivity analysis. An accurate assessment of the conservatism in the different variables could lead to fewer conservative stabilisation requirements. The results show that using a surrogate model for reliability analysis not only reduces the computational cost significantly but also produces a highly accurate evaluation of pipeline stability.

Keywords: Dynamic stability analysis

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