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面向抗倒塌地震动强度指标选取的特征选择算法性能评估
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作者 胡进军 刘亦恒 刘巴黎 《地震工程与工程振动》 CSCD 北大核心 2024年第6期1-11,共11页
为了筛选有效预测结构倒塌能力的地震动强度指标,对比分析了MIC、ReliefF、XGBoost和Lasso这4种常见特征选择算法用于地震动强度指标筛选时的性能。基于单自由度结构增量动力分析结果及地震动强度指标建立特征选择回归模型,根据回归模... 为了筛选有效预测结构倒塌能力的地震动强度指标,对比分析了MIC、ReliefF、XGBoost和Lasso这4种常见特征选择算法用于地震动强度指标筛选时的性能。基于单自由度结构增量动力分析结果及地震动强度指标建立特征选择回归模型,根据回归模型输出权重及频数得到欧氏距离大小排序并筛选地震动强度指标,利用筛选结果对特征选择算法的性能进行评估。同时基于2层、4层、8层和12层钢筋混凝土框架结构的增量动力分析结果对筛选后强度指标建立最小二乘回归模型,以残差的标准差变化衡量不同特征选择算法筛选出的地震动强度指标对结构倒塌的预测能力。结果表明:基于Lasso回归算法筛选的地震动强度指标比其他算法用于结构倒塌预测时准确率提高31%。结果可为基于性能地震工程(performance-based earthquake engineering,PBEE)框架下结构易损性分析中及地震动不确定性分析中地震动强度指标筛选的特征选择算法提供参考,也可为结构倒塌预测的地震动强度指标筛选提供有效特征选择算法参考。 展开更多
关键词 地震动强度指标 特征选择算法 结构倒塌分析 增量动力分析 最小二乘回归
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Progressive collapse resisting capacity of reinforced concrete load bearing wall structures 被引量:1
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作者 Alireza Rahai Alireza Shahin Farzad Hatami 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第7期2730-2738,共9页
Reinforced concrete(RC) load bearing wall is widely used in high-rise and mid-rise buildings. Due to the number of walls in plan and reduction in lateral force portion, this system is not only stronger against earthqu... Reinforced concrete(RC) load bearing wall is widely used in high-rise and mid-rise buildings. Due to the number of walls in plan and reduction in lateral force portion, this system is not only stronger against earthquakes, but also more economical. The effect of progressive collapse caused by removal of load bearing elements, in various positions in plan and stories of the RC load bearing wall system was evaluated by nonlinear dynamic and static analyses. For this purpose, three-dimensional model of 10-story structure was selected. The analysis results indicated stability, strength and stiffness of the RC load-bearing wall system against progressive collapse. It was observed that the most critical condition for removal of load bearing walls was the instantaneous removal of the surrounding walls located at the corners of the building where the sections of the load bearing elements were changed. In this case, the maximum vertical displacement was limited to 6.3 mm and the structure failed after applying the load of 10 times the axial load bored by removed elements. Comparison between the results of the nonlinear dynamic and static analyses demonstrated that the "load factor" parameter was a reasonable criterion to evaluate the progressive collapse potential of the structure. 展开更多
关键词 reinforced concrete(RC) load bearing wall structure progressive collapse fiber sections nonlinear analysis load factor method
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