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Predicting damage of wooden houses using fatigue response spectral intensity index considering number of seismic response cycles

机译:考虑地震响应周期数的疲劳响应谱强度指数预测木屋损伤

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In general, seismic intensity, peak ground acceleration (PGA), peak ground velocity (PGV) and spectral intensity (SI) have been used as the indices of destructive power on earthquake motion. These indices are not taken account of the repetition of an earthquake motion. However, the repetition of an earthquake motion influences damage of wooden houses. So it is quite important to consider the number of earthquake response cycles in the vicinity of the maximum response and natural period of structures for predicting damage to structures. Especially, destruction of the wooden houses was expanded by aftershock after the main shock in 2004 Niigata-ken Chuetsu earthquake, 2007 Noto Peninsula Earthquake, and so on. In this study, the influence by accumulation of the earthquake motion on wooden houses destruction is considered. The fatigue response spectral intensity (FSI) of having taken the repetition of earthquake motion into consideration is proposed, and a relation with wooden houses damage is considered. In addition, existing probability of natural period and the construction age of wooden house is taking into account in this index. It is predicted to the wooden houses damage using the FSI index in recent earthquake. As a result, it was clarified that the earthquake motion destructive power index proposed by this research that accumulation of the earthquake motion can be taken into consideration is effective. And It is better to take the construction age into account, when the damage to wooden house is estimated.
机译:通常,地震强度,峰值地面加速度(PGA),峰值地面速度(PGV)和频谱强度(SI)已用作地震运动破坏力的指标。这些指标未考虑地震运动的重复。但是,地震运动的重复会影响木屋的损坏。因此,考虑结构的最大响应和自然周期附近的地震响应周期数对于预测结构损坏非常重要。特别是在2004年新泻县中越地震,2007年能登半岛地震等主要地震之后,余震加剧了木结构房屋的破坏。在这项研究中,考虑了地震运动的累积对木屋破坏的影响。提出了考虑地震运动重复的疲劳响应谱强度(FSI),并考虑了与房屋破坏的关系。另外,该指标考虑了自然期的存在概率和木屋的建造年限。使用FSI指数预测最近地震中的木屋损坏。结果,澄清了本研究提出的可以考虑地震运动的累积的地震运动破坏力指数是有效的。并且,在估计对木屋的损坏时,最好考虑到建造时间。

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