【作者】 罗乃东；

【导师】 赵国藩；

【作者基本信息】 大连理工大学 ， 结构工程， 2002， 博士

【摘要】 风荷载作用下的高层、高耸结构的振动响应越来越剧烈，而无论是结构还是风荷载都存在大量不确定性，因而以可靠度方法进行高层、高耸结构的抗风研究是比较合适的。本文以可靠度理论、随机振动理论为基础，在广泛借鉴国内外同行研究成果的基础上，对高层、高耸结构的抗风分析及相关问题作进一步的研究。研究内容主要包括以下几方面： 1．设计基准期参考风速的确定离不开原始风速资料，对缺乏长期风速资料的地区，给出了一种通过当地短期(3-5年)的风速资料推算设计基准期参考风速的方法，为抗风设计提供依据。 2．抗风分析的最终目的是使结构能够正常工作，针对高层、高耸结构的风振响应的特点，推导出动响应统计参数的计算公式，并采用正态分布法分析了一次强风作用下的结构可靠度。同时在强风年出现次数满足泊松分布的前提下，得到设计基准期可靠度分析公式。 3．分析了动力响应计算中，最大的荷载效应与最大的荷载之间没有完全的对应关系，指出了结构静力可靠度与动力可靠度分析的本质不同。同时还分析了采用月最大、年最大及设计基准期最大风荷载对设计基准期内结构抗风动力可靠度的影响。 4．风振系数是联系动力荷载与等效静力荷载的桥梁，在抗风设计中起着关键的作用，对它的可靠性作了进一步的研究。 5．在分析了平均时距对统计平均风速影响的基础上，进而以结构的可靠度为指标利用Monte Carlo方法分析了当平均时距比较大时，脉动风速平方项对脉动风压功率谱的影响。 6．结构风振控制是减小结构风振响应，提高抗风可靠度的有效手段。在分析了被动TMD用于风振控制存在有效频带窄的问题后，提出了采用神经网络提供主动控制力的主动控制方法。并通过神经网络系统对结构响应进行一步预测，从而进一步提高控制系统的能力。分析中以结构的可靠指标为评判控制系统能力的尺度。 本文的研究工作由高等学校博士学科点专项科研基金“高层、高耸结构 大连理工大学博士学位论文抗风可靠度研究”＊ 及国家自然科学基金项目“工程结构生命全过程可靠度研究”［59878008］联合资助。更多还原

【Abstract】 The wind-induced vibration of tall (high-rise) building is becoming more and more intense. It is appropriate and effective to use method of reliability to study on the wind-induced vibration property of tall (high-rise) building, because there are more random attributes with constructions and wind loads. Base on reliability theory, random vibration theory and the domestic and international previous research works of the same field, the analysis of wind-induced vibration of tall (high-rise) building and some relevant works are further studied in this thesis. The major contents are summarized as follows:1. The wind speed of reference period is determined by the local primitive data. A method is introduced that determine the wind speed of reference period through short-term wind data such as 3 to 5 years. It provides an evidence for wind-resistant design of the area that lack of long-term wind data.2. The aim of the analysis of wind-induced vibration is to make sure that the construction can work well. According to the dynamic response characters, the statistic parameters of tall (high rise) building under wind loads are deduced and the structure dynamic reliability under a gusty wind is acquired through the theory of extreme values and the normal distribution method. The occurring frequency of wind loads is assumed to obey the Poisson distribution, then the method to calculate the dynamic reliability of structures resisting wind loads in reference period is obtained.3. The essential distinction between structural static and dynamic reliability analysis is emphasized, since the maximum dynamic response is not always corresponding to maximum load in structural dynamic analysis. The structure dynamic reliability of reference period may be different when monthly, yearly and the reference period maximum wind loads are adopted. The conclusion is obtained that the result is almost accurate if yearly maximum wind loads are adopted to calculate the dynamic reliability index.4. The coefficient of wind-induced vibration is a link between the dynamicwind loads and the equivalent static loads and it is a key item in wind-resistant design. The further study on the coefficient of wind-induced vibration is carried out.5. The factors, especially the interval, that affect the statistic mean wind velocity are expatiated. Then the effects on the power spectrum of pulsating wind pressure as well as on the dynamic response of the structure under wind loads are analyzed by means of Monte Carlo Method when the square item of pulsating wind velocity is ignored.6. The structure control system is ah effective method to reduce the wind-induced vibration response of construction and raise the dynamic reliability of structure. Artificial Neural Network (ANN) method is proposed to use in active control system after the analysis of the effective frequency bandwidth of TMD control system. The ability of the active control system is increased because the response of structure is predicted by the ANN. The dynamic reliability index is used to adjudicate the ability of different control system during the study process.The research work is supported by the Special Foundation of Collage Doctoral Subject [98014124] and the National Natural Science Foundation of China [59878008].更多还原