岩土工程学报2024，Vol.46Issue(8)：1644-1654,11.DOI:10.11779/CJGE20221585
基于贝叶斯理论和条件协同模拟的海上风电场土体参数空间变异性表征
Spatial variability characterization of soil properties in offshore wind farms based on Bayesian theory and conditional co-simulation method
摘要
Abstract
The spatial variability characterization of soil properties in offshore wind farms is essential for offshore engineering.The multi-source data fusion can reduce the uncertainty of characterization.However,the existing methods cannot simulate geotechnical properties based on the non-co-located multi-source data,and do not consider the effects of statistical uncertainty.To overcome these challenges,a conditional co-simulation method based on the Bayesian theory is proposed.The Bayesian theory is first used to estimate the cross-variogram model based on the non-co-located multi-source data.Then,the conditional co-simulation is used to generate realizations of spatially varied soil properties,which can characterize the spatial variability with consideration of statistical uncertainty.The proposed method is applied to an offshore wind farm to establish the spatial variability model for the unconfined compression strength(qu)by integrating data on qu and standard penetration test(SPT)N value.The results show that the proposed method can characterize the spatial variability of qu from the non-co-located data on the values of qu and N,and statistical uncertainty is properly taken into account.In addition,the uncertainties of the variogram models and the conditional co-simulation results can be reduced when the prior distribution with more information and/or SPT data is used.关键词
海上风电场/空间变异性/条件协同模拟/贝叶斯理论/多源数据融合Key words
offshore wind farm/spatial variability/conditional co-simulation/Bayesian theory/multi-source data fusion分类
建筑与水利引用本文复制引用
徐加宝,张泽超,张璐璐,曹子君,王宇,张一凡,张德,陈杨明..基于贝叶斯理论和条件协同模拟的海上风电场土体参数空间变异性表征[J].岩土工程学报,2024,46(8):1644-1654,11.基金项目
中国长江三峡集团有限公司科研资助项目(WWKY-2020-0741) （WWKY-2020-0741）
国家自然科学基金项目(52025094,51979158) （52025094,51979158）
上海市教育委员会科研创新计划项目(2021-01-07-00-02-E00089) （2021-01-07-00-02-E00089）
