大跨屋盖结构多目标等效静力风荷载精细化分析

来源期刊:中南大学学报(自然科学版)2016年第7期

论文作者:李玉学 杨庆山 田玉基 朱英磊

文章页码:2485 - 2495

关键词:大跨屋盖;等效静力风荷载;多目标;基本荷载分量;精细化分析

Key words:large-span roof; equivalent static wind loads; multi-target; fundamental load vectors; refinement analysis

摘    要:基于已建立的大跨屋盖结构多目标等效静力风荷载理论框架,对其中存在的关键问题进行精细化分析。首先,根据结构风振响应特性,分别推导构造多目标等效静力风荷载的背景分量、共振分量及其二者耦合项分量,解决基本分量应与风振响应分析结果相对应且能再现风振响应特性的问题。其次,根据各基本分量作用下结构静力响应分布的相似程度对基本分量进行归并精简,从而保证所选基本分量的高效性,实现用较少的基本分量完成尽可能多的目标响应等效。最后,针对基于数值方法求解多目标等效方程造成的计算结果离散性大、不便于工程应用、精度不高等问题,补充求解的边界条件方程,并提出对计算结果的修正方法。利用提出的精细化分析方法,对国家网球中心“莲花”球场屋盖结构多目标等效静力风荷载进行分析。研究结果表明:所得多目标等效静力风荷载分布合理,静力响应与多目标响应较吻合,验证了所提出的方法的有效性和工程实用性。

Abstract: According to the critical problems existing in the theoretical framework for multi-target equivalent static wind loads (ESWLs) analysis, a refinement method was proposed to obtain the multi-target ESWLs of large-span roofs. Firstly, considering the characteristics of wind-induced response, the background, resonant and their coupling fundamental load vectors used to establish the multi-target ESWLs were derived, which well solved the problems that the fundamental load vectors should be corresponded to the wind-induced response results and the multi-target ESWLs should reexhibit the characteristics of wind-induced response. Then, based on the distribution similarity of the static responses excited by the fundamental load vectors, a merging method for the fundamental load vectors was proposed, which can well ensure the efficiency of the selected fundamental load vectors, and thus using less fundamental load vectors accomplished more targets equivalence. At last, a boundary condition equation and a modified equation were introduced, which well solved the problems of the calculation results including high discreteness, low accuracy and inconvenient engineering application induced by numerical calculation. The proposed refinement method was applied in the National Tennis Center Stadium roof. The results show that the obtained multi-target ESWLs distribution is reasonable and the static responses excited by the multi-target ESWLs agrees well with the target responses.

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