振动与冲击
振動與遲擊
진동여충격
JOURNAL OF VIBRATION AND SHOCK
2015年
3期
196-203,228
,共9页
李世龙%马立元%田海雷%李永军
李世龍%馬立元%田海雷%李永軍
리세룡%마립원%전해뢰%리영군
模态数据%模型修正%目标函数%信赖域%鲁棒性
模態數據%模型脩正%目標函數%信賴域%魯棒性
모태수거%모형수정%목표함수%신뢰역%로봉성
modal data%model updating%objective function%trust region%robustness
在传统的基于模型修正的损伤识别中,由于实测模态信息有限而待识别参数过多,往往导致损伤识别方程出现较大误差,从而限制了该方法在复杂结构中的应用。为解决这一问题,对结构的自由度进行了分解,将损伤结构中模态振型的未测量部分表达为已测量到的模态振型、模态频率以及结构其它参数的函数。将损伤视为结构单元刚度的减小,利用完好结构的计算模态数据以及损伤结构扩充后的实测模态数据,建立了结构的损伤识别方程。运用信赖域优化算法对具有双重约束条件的目标函数进行最小化,识别出了结构各单元的刚度损伤参数。通过两个损伤识别数值仿真算例及实验验证,结果表明,在测点数量有限及测试噪声等不利因素影响下,所提方法只需运用少量的实测模态信息,即可实现结构损伤位置及程度的准确识别,同时算法具有较好的鲁棒性。
在傳統的基于模型脩正的損傷識彆中,由于實測模態信息有限而待識彆參數過多,往往導緻損傷識彆方程齣現較大誤差,從而限製瞭該方法在複雜結構中的應用。為解決這一問題,對結構的自由度進行瞭分解,將損傷結構中模態振型的未測量部分錶達為已測量到的模態振型、模態頻率以及結構其它參數的函數。將損傷視為結構單元剛度的減小,利用完好結構的計算模態數據以及損傷結構擴充後的實測模態數據,建立瞭結構的損傷識彆方程。運用信賴域優化算法對具有雙重約束條件的目標函數進行最小化,識彆齣瞭結構各單元的剛度損傷參數。通過兩箇損傷識彆數值倣真算例及實驗驗證,結果錶明,在測點數量有限及測試譟聲等不利因素影響下,所提方法隻需運用少量的實測模態信息,即可實現結構損傷位置及程度的準確識彆,同時算法具有較好的魯棒性。
재전통적기우모형수정적손상식별중,유우실측모태신식유한이대식별삼수과다,왕왕도치손상식별방정출현교대오차,종이한제료해방법재복잡결구중적응용。위해결저일문제,대결구적자유도진행료분해,장손상결구중모태진형적미측량부분표체위이측량도적모태진형、모태빈솔이급결구기타삼수적함수。장손상시위결구단원강도적감소,이용완호결구적계산모태수거이급손상결구확충후적실측모태수거,건립료결구적손상식별방정。운용신뢰역우화산법대구유쌍중약속조건적목표함수진행최소화,식별출료결구각단원적강도손상삼수。통과량개손상식별수치방진산례급실험험증,결과표명,재측점수량유한급측시조성등불리인소영향하,소제방법지수운용소량적실측모태신식,즉가실현결구손상위치급정도적준학식별,동시산법구유교호적로봉성。
Owing to that the measured modal data is far less than parameters to be identified and the damage identification equations always have larger errors,these lead to the application of the traditional damage detection based on model updating is always limited in complex structures.Here,the drawback was solved by dividing structural DOFs into measured and unmeasured parts.Meanwhile,the unmeasured parts of the modal shapes of the damaged structure were characterized as a function of the structural parameters and the modal shapes of measured parts.Considering damage as a reduction of element stiffness,then the calculated modal data of an intact structure and the measured modal data of the corresponding damaged structure were used to establish the damage detect equation.The dual constrained objective function was minimized to recognize the changes of structural parameters by utilizing the trust region optimization method. The proposed method were verified with two numerical simulation examples and a damage detection test.The results showed that the proposed method has a good ability to detect any damage of structures using incomplete measured modal data,and the algorithm also has a good robustness.