哈尔滨工程大学学报
哈爾濱工程大學學報
합이빈공정대학학보
Journal of Harbin Engineering University
2015年
9期
1212-1216
,共5页
袁万城%袁新哲%庞于涛%沈国煜
袁萬城%袁新哲%龐于濤%瀋國煜
원만성%원신철%방우도%침국욱
概率地震需求模型%云图法%IDA分析%非线性拟合%易损性分析%连续桥梁
概率地震需求模型%雲圖法%IDA分析%非線性擬閤%易損性分析%連續橋樑
개솔지진수구모형%운도법%IDA분석%비선성의합%역손성분석%련속교량
probabilistic seismic demand model%cloud method%IDA%nonlinear fitting%fragility analysis%continu-ous beam bridge
针对云图法建立概率地震需求模型时部分工程需求参数(EDP)与地震动强度参数(IM)间不满足对数线性回归关系假设的问题,建立某三跨混凝土连续梁桥的3D有限元模型. 采用IDA方法建立桥梁概率地震需求模型,并以IDA分析结果为基准,在同一地震动参数下,采用基于不同拟合方式的云图法建立概率地震需求模型并得到了结构在不同破坏状态下的易损性曲线. 研究表明,当EDP与IM之间的数量关系不满足云图法对数线性关系基本假设时,选择恰当的非线性参数拟合方式可以显著提高云图法建立概率地震需求模型的精度.
針對雲圖法建立概率地震需求模型時部分工程需求參數(EDP)與地震動彊度參數(IM)間不滿足對數線性迴歸關繫假設的問題,建立某三跨混凝土連續樑橋的3D有限元模型. 採用IDA方法建立橋樑概率地震需求模型,併以IDA分析結果為基準,在同一地震動參數下,採用基于不同擬閤方式的雲圖法建立概率地震需求模型併得到瞭結構在不同破壞狀態下的易損性麯線. 研究錶明,噹EDP與IM之間的數量關繫不滿足雲圖法對數線性關繫基本假設時,選擇恰噹的非線性參數擬閤方式可以顯著提高雲圖法建立概率地震需求模型的精度.
침대운도법건립개솔지진수구모형시부분공정수구삼수(EDP)여지진동강도삼수(IM)간불만족대수선성회귀관계가설적문제,건립모삼과혼응토련속량교적3D유한원모형. 채용IDA방법건립교량개솔지진수구모형,병이IDA분석결과위기준,재동일지진동삼수하,채용기우불동의합방식적운도법건립개솔지진수구모형병득도료결구재불동파배상태하적역손성곡선. 연구표명,당EDP여IM지간적수량관계불만족운도법대수선성관계기본가설시,선택흡당적비선성삼수의합방식가이현저제고운도법건립개솔지진수구모형적정도.
In order to solve the problem that when establishing a probabilistic seismic demand model by the cloud method, some Engineering Demand Parameters ( EDPs) and ground motion intensity ( IM) parameters do not meet the assumption of logarithmic linear regression relationship, a 3D finite element model of a three-span concrete con-tinuous beam bridge was established. The bridge probabilistic seismic demand model was first established by incre-mental dynamic analysis( IDA) . Taking the IDA analysis result as the benchmark, under the same seismic motion parameters, and using the cloud method based on various fitting modes to establish a probabilistic seismic demand model, the fragility curve under different breaking states was obtained. The results show that, when the quantitative relationship between EDP and IM does not meet the basic logarithmic linear relationship assumption of the cloud method, choosing appropriate nonlinear parameter fitting mode can significantly improve the precision of the proba-bilistic seismic demand model established by the cloud method.