可靠性(半导体)
涡轮机
蒙特卡罗方法
基础(证据)
有限元法
承载力
概率逻辑
编码(集合论)
可靠性工程
工程类
风力发电
计算机科学
结构工程
功率(物理)
数学
机械工程
集合(抽象数据类型)
统计
程序设计语言
电气工程
考古
物理
历史
人工智能
量子力学
作者
Mohammad Javad Vahdatirad,D. V. Griffiths,Lars Vabbersgaard Andersen,Jan Sørensen,Gordon A. Fenton
出处
期刊:Geotechnique
[ICE Publishing]
日期:2014-06-01
卷期号:64 (8): 635-645
被引量:21
标识
DOI:10.1680/geot.13.p.152
摘要
Deterministic code-based designs proposed for wind turbine foundations are typically biased on the conservative side, and overestimate the probability of failure, which can lead to higher than necessary construction cost. In this study reliability analysis of a gravity-based foundation, concerning its bearing capacity, is used to calibrate a code-based design procedure. A probabilistic finite-element model is developed to analyse the bearing capacity of a surface footing on soil with spatially variable undrained strength. Monte Carlo simulation is combined with a re-sampling simulation technique to perform the reliability analysis. The calibrated code-based design approach leads to savings of up to 20% in the concrete foundation volume, depending on the target annual reliability level. The study can form the basis for future optimisation on deterministic-based designs for wind turbine foundations.
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