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作 者:苏瑜 黄珺 刘会玲 李大伟 SU Yu;HUANG Jun;LIU Huiling;LI Dawei(School of Civil Engineering,Architecture and Environment,Hubei University of Technology,Wuhan 430068,China;China Construction Third Bureau Engineering Design Co.,Ltd.,Wuhan 430064,China;College of Civil Engineering,Tongji University,Shanghai 200092,China)
机构地区:[1]湖北工业大学土木建筑与环境学院,湖北武汉430068 [2]中建三局工程设计有限公司,湖北武汉430064 [3]同济大学土木工程学院,上海200092
出 处:《四川建筑科学研究》2020年第5期8-16,共9页Sichuan Building Science
基 金:国家自然科学基金(51178337);湖北省自然科学基金青年项目(2018CFB287)。
摘 要:针对具有一定数据信息而又不足以构造概率分布的认知不确定问题,提出了一种基于证据理论的可靠性分析方法。通过离散化不确定信息之间的一致、冲突以及忽略关系,建立了合理的信任分配函数,实现了不完备数据信息的有效表达,真实地反映了信息不确定的本质。在不确定测度计算中,基于无需精确求解极限状态函数极值的特性,提出了智能优化算法和不精确极值思想相结合的计算方法,以解决焦元数目和极限状态函数极值所导致的计算瓶颈。以塔架结构为例,考虑了风速和风向的不确定性,可靠性分析结果表明,本文所提方法充分利用了不完备的数据样本,形成了服从数据分布且不需任何假定的基本信任函数,且以区间测度度量结构的可靠性,避免了传统精确概率方法假设造成的误差,具有良好的鲁棒性。A new reliability analysis technique based on evidence theory is developed to deal with the epistemic uncertainty with insufficient data information.The discretized rules of agreement,conflict and ignorance relationships in the data are used to construct a belief structure of evidence theory,consequently,an reliable uncertainty quantification consistent with available data is proceeded.Since it is not necessary to evaluate the precise extremes of the limit state function during uncertainty measurement,an improved method of evolutionary optimization design integrating with imprecise extremum idea is proposed to overcome the intensive computational cost.A tower structure under uncertainty wind load is investigated to demonstrate the effectiveness of the proposed method.The research indicates that the presented method makes full use of limited data information to construct the basic belief assignment function.Furthermore,the interval measurement based reliability analysis can avoid the error caused by conventional probability theory with the assumed parameters,and has a good robust result.
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