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首页> 外文期刊>Journal of Structural Engineering >Development of a Generalized Cross-Building Structural Response Reconstruction Model Using Strong Motion Data
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Development of a Generalized Cross-Building Structural Response Reconstruction Model Using Strong Motion Data

机译:基于强运动数据的广义跨建筑结构响应重建模型的建立

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摘要

Models for reconstructing seismic response demands across multiple buildings can aid in cluster-level rapid postearthquake damage assessment. Response demands from 188 buildings affected by 25 earthquakes were used to develop a cross-building response reconstruction model. A structural response prediction model (SRPM) was developed, which is based on a modern ground motion model with added "building response" terms. A kriging algorithm is used to interpolate the within-event residuals which, together with the SRPM, form a generalized cross-building response reconstruction (CBRR) model. Given the recorded responses for a subset of instrumented buildings in a cluster, the demands in the uninstrumented buildings can be reconstructed by combining the median values generated from the SRPM and estimated within-event residuals for a given site obtained from the kriging model.
机译:重建多个建筑物的地震响应需求的模型有助于集群级快速震后破坏评估。利用受25次地震影响的188座建筑物的响应需求,开发了跨建筑物响应重建模型。开发了一种结构响应预测模型(SRPM),该模型基于现代地震动模型,并添加了“建筑物响应”项。使用克里金算法对事件内残差进行插值,这些残差与SRPM一起形成广义跨建筑响应重建(CBRR)模型。给定集群中仪器化建筑物子集的记录响应,可以通过将 SRPM 生成的中值与从克里金模型获得的给定站点的事件内残差估计值相结合来重建未仪器化建筑物中的需求。

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