振动与冲击
振動與遲擊
진동여충격
JOURNAL OF VIBRATION AND SHOCK
2014年
24期
123-132,143
,共11页
李寿科%李寿英%陈政清%孙洪鑫
李壽科%李壽英%陳政清%孫洪鑫
리수과%리수영%진정청%손홍흠
非高斯仿真%风压极值%峰值因子%风洞试验
非高斯倣真%風壓極值%峰值因子%風洞試驗
비고사방진%풍압겁치%봉치인자%풍동시험
non-Gaussian simulation%extreme value%peak factor%wind tunnel test
以多变量相关非高斯过程仿真方法为基础,发展了一种基于单次采样的多变量非高斯仿真极值计算方法。首先介绍开孔屋盖的风洞试验概况和多变量相关非高斯过程仿真的基本理论,对屋盖上一组测点风压进行了非高斯仿真,结果表明基于谱修正的多变量相关非高斯过程仿真方法得到的时程在功率谱密度,相干函数,高阶矩三方面与目标值接近,仿真效果较好,然后采用经典极值理论对多次仿真的非高斯时程进行极值计算,将该方法得到的峰值因子与以往常用方法的结果进行比较,结果表明:Davenport峰值因子法高估气流分离区左偏风压的正峰值因子60%,低估负峰值因子43%;Sadek-Simiu峰值因子法低估了高峰度风压的峰值因子50%;而基于单次样本进行仿真的非高斯仿真峰值因子法,其估计的开孔屋盖的峰值因子最为准确,与观察峰值因子总体上最为接近。
以多變量相關非高斯過程倣真方法為基礎,髮展瞭一種基于單次採樣的多變量非高斯倣真極值計算方法。首先介紹開孔屋蓋的風洞試驗概況和多變量相關非高斯過程倣真的基本理論,對屋蓋上一組測點風壓進行瞭非高斯倣真,結果錶明基于譜脩正的多變量相關非高斯過程倣真方法得到的時程在功率譜密度,相榦函數,高階矩三方麵與目標值接近,倣真效果較好,然後採用經典極值理論對多次倣真的非高斯時程進行極值計算,將該方法得到的峰值因子與以往常用方法的結果進行比較,結果錶明:Davenport峰值因子法高估氣流分離區左偏風壓的正峰值因子60%,低估負峰值因子43%;Sadek-Simiu峰值因子法低估瞭高峰度風壓的峰值因子50%;而基于單次樣本進行倣真的非高斯倣真峰值因子法,其估計的開孔屋蓋的峰值因子最為準確,與觀察峰值因子總體上最為接近。
이다변량상관비고사과정방진방법위기출,발전료일충기우단차채양적다변량비고사방진겁치계산방법。수선개소개공옥개적풍동시험개황화다변량상관비고사과정방진적기본이론,대옥개상일조측점풍압진행료비고사방진,결과표명기우보수정적다변량상관비고사과정방진방법득도적시정재공솔보밀도,상간함수,고계구삼방면여목표치접근,방진효과교호,연후채용경전겁치이론대다차방진적비고사시정진행겁치계산,장해방법득도적봉치인자여이왕상용방법적결과진행비교,결과표명:Davenport봉치인자법고고기류분리구좌편풍압적정봉치인자60%,저고부봉치인자43%;Sadek-Simiu봉치인자법저고료고봉도풍압적봉치인자50%;이기우단차양본진행방진적비고사방진봉치인자법,기고계적개공옥개적봉치인자최위준학,여관찰봉치인자총체상최위접근。
Based on the Non-Gaussian Simulation of multivariate stochastic processes method,one prediction method for wind pressure extreme value was proposed.The wind pressure time histories of several opening roofs were simulated with multivariate Non-Gaussian simulation method based on wind tunnel test data.It was shown that power spectral density,coherence,deviation,skewness and kurtosis of simulated Non-Gaussian time histories are very close to the destination values.Then the peak factors of wind pressures on the opening roofs were predicted from the multivariate non-gaussian simulation time histories for several times with the typical extreme value theory,and the results were compared with those several general methods.It was shown that Davenport method overestimates the positive peak factor by 60%,its skewness is negative,and it underestimates the negative peak factor by 43%;Sadek-Simiu method underestimates the peak factor by 50%,it has a higher kurtosis;the proposed method can predict the peak factor effectively,and the overall error is smallest.