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        Reliability sensitivity analysis based on multi-hyperplane combination method

        2014-02-15 06:02:13YugeDONGHaitaoLUbLinglingLI
        Defence Technology 2014年4期
        關(guān)鍵詞:汽封教學(xué)法音樂

        Yu-ge DONG*,Hai-tao LUb,Ling-ling LI

        aSchool of Mechanical and Automotive Engineering,Hefei University of Technology,Hefei 230009,Anhui,China

        bSchool of Machinery Engineering,Huaiyin Institute of Technology,Huai'an 223003,Jiangsu,China

        cProvince-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability,Hebei University of Technology,Tianjin 300130,China

        Reliability sensitivity analysis based on multi-hyperplane combination method

        Yu-ge DONGa,*,Hai-tao LUa,b,Ling-ling LIc

        aSchool of Mechanical and Automotive Engineering,Hefei University of Technology,Hefei 230009,Anhui,China

        bSchool of Machinery Engineering,Huaiyin Institute of Technology,Huai'an 223003,Jiangsu,China

        cProvince-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability,Hebei University of Technology,Tianjin 300130,China

        For a nonlinear limit state function,the frst-order reliability method(FORM)may cause large errors in the computation of not only the reliability index or failure probability but also the reliability sensitivity.In order to obtain more the accurate results of the reliability sensitivity analysis,a number of hyperplanes are built near the design point by frst-order Tayler series expansion,which replace the known nonlinear limit state hypersurface,and an equivalent computational method is utilized to construct an equivalent hyperplane of the obtained hyperplanes.And the reliability sensitivities can be estimated more accurately by the derived equations based on the equivalent hyperplane.An example shows that the method is effective and feasible.

        Reliability sensitivity;Failure probability;Nonlinearity;Multi-hyperplane combination method;Equivalence

        1.Introduction

        Reliability sensitivity analysis plays an important role in reliability design,reliability-based optimization design and reliability-based robust design.Reliability sensitivities are useful to quantify the distribution parameters such as mean and standard deviation,and represent that the distribution parameters infuence the reliability to some degree.The reliability sensitivities are often expressed as the sensitivity of the computed failure probability to changes in the distribution parameters.

        Among the methods available for the parametric sensitivity analysis,the method based on FORM is a fundamental and widely used approach due to the high computational effciency and acceptable accuracy of FORM[1-3].Obviously,FORM is to replace a certain limit state hypersurface with a hyperplane and makes it easy to calculate the failure or safety probability.Because of this,FORM may overestimate or underestimate the reliability when the hypersurface is nonlinear near the design point.The higher the curvature of the limit state hypersurface at the design point is,the bigger the computational error of the reliability is.Just as FORM usually overestimates or underestimates the reliability,it may underestimate or overestimate the degree to which the distribution parameters infuence the reliability.Therefore,the parametric sensitivity analysis based on FORM may be unsatisfactory or unacceptable.

        Compared with FORM,SORM(second-order reliability method)can compute the reliability more accurately.But because of the diffculty in computing the reliability,the parametric sensitivity analysis based on SORM was seldom discussed[4].MCSM(Monte Carlo simulation method)can be used for the sensitivity analysis[5-8].The simulatedresults of the sensitivity analysis by MCSM are quite accurate, but one main shortcoming of MCSM is that the computational amount is too large.

        MHCM(multi-hyperplane combination method)is an alternative to improve the calculation accuracy of the reliability for a nonlinear limit state function[9-11].In MHCM, some hyperplanes are utilized to replace the limit state hypersurface.Feng[9]frst studied MHCM for obtaining much more accurate computational result of reliability.Mahadevan et al.[10]used the idea of MHCM for a little more complex reliability calculation with multiple extreme points,but the handling method in Ref.[10]is rough and the calculation accuracy of the reliability is not high enough.Shin et al.[11] introduced a progressive importance sampling method based on multi-hyperplane combination and the importance sampling for the reliability analysis of the nonlinear performance function with multiple design points.Lu et al.[12]studied how to obtain some hyperplanes and how to compute reliability easily when MHCM was used.The computed results of MHCM are different when a different number of the hyperplanes and the different hyperplanes are selected.And the different way to calculate the reliability of the system consisting of the obtained hyperplanes may lead to the results with different calculation accuracies.Anyhow,compared to FORM, MHCM can improve the calculation accuracy of the reliability greatly.Compared to MCSM,MHCM requires less computational amount.

        As MHCM can get more accurate computational result of the reliability,it can obtain more accurate results of the reliability sensitivity analysis compared to FORM.In this paper, some equations of computing the sensitivities for the calculated failure probability were derived according to MHCM, and an example was given to show that the method of the sensitivity analysis based on MHCM is effective and feasible in improving the calculation accuracy of the sensitivity analysis.

        2.Basic models of MHCM

        Assuming thatx1,x2,x3,…,xnare basic random variables which are independently subjected to standard normal distribution and x=[x1,x2,x3,…,xn]is a 1×norder matrix,a nonlinear limit state function can be expressed byZ=g(x), and the limit state hypersurface can be expressed byZ=g(x)=0.To obtain a number of hyperplanes to replace the limit state hypersurface,the same number of points on the hypersurface and near the design point is obtained by extrapolation method and one-dimensional iterative search method[12].Then,a number of hyperplanes can be built at the obtained points by the frst-order Tayler series expansion.

        In Fig.1,the hyperplane(for two dimensions,namely,two random variables,the hypersurface is reduced to a line)at the design point x0is acquired by the frst-order Tayler series expansion of the nonlinear limit state function,which is called as a main hyperplane,denoted byZl0=0.The other hyperplanes at the above obtained points except x0are called as subhyperplanes,denoted byZli=0(i=1,2,…,k).

        Fig.1.Reliability computated by MHCM.

        As shown in Fig.1,the dotted lines express the course of equivalent calculation,and each dotted line is expressed as a main equivalent approximate line by an equivalent calculation. The last main equivalent approximate line is expressed by a thick solid line.

        The safety domainDSiof each hyperplane(main hyperplane or sub-hyperplanes)can be denoted by

        Because the limit state functionZliis linear,the safety probabilityPSiin which the values of x are located inDSican be given accurately by

        where Φ(·)is the accumulative integral function of standard normal distribution;and βiis the reliability index of the linear limit state functionZli.

        In Fig.1(a),when the original nonlinear failure domain is a local convex set,the original nonlinear safety domainDScan be expressed approximately by the set union of allDSias follows

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        According to the basic model of system reliability,the system consisting of the above hyperplanes is a parallel one. The safety probabilityPSin which the values of x are located inDScan be given by

        在英語教學(xué)活動中,很多教師都切身感受到,學(xué)生們對英語精讀課缺乏積極學(xué)習(xí)的熱情,有的學(xué)生甚至對英語精讀課感到“厭煩”,有些學(xué)生感覺他們從精讀課上沒學(xué)到更多東西。這種現(xiàn)象,主要原因在于學(xué)生們沒有掌握學(xué)習(xí)要領(lǐng),缺乏精讀學(xué)習(xí)的技巧,這就需要精讀課程的教師,要深入研究技巧的培育,不僅僅授學(xué)生以魚,更要授之以漁。

        It is a little complicated to calculatePSdirectly using Eq. (4),because the operation of set union should be transformed into that of set intersection.Based on the duality of system reliability,when the original nonlinear failure domain is a convex set,the nonlinear failure domain can also be expressed by set intersection of failure domainDFiof each hyperplane,as shown in Fig.1(a).DFiis written as It is well known that not only the failure domain but also the safety domain of each hyperplane is a linear domain.The failure probabilityPFiin which the values of x are located in

        DFican be obtained The original nonlinear failure domainDFcan be expressed approximately by the set intersection of allDFias follows The failure probabilityPFin which the values of x are located inDFcan be given by

        Assuming thatDis the full probability space,we haveDF∪DS=D,DF∩DS=φ,andPF+PS=1.So,PForPScan be computed to obtain the reliability.From the above discussion,it is known that,when the original nonlinear failure domain is the convex set,it is much more easy to compute the failure probabilityPFof the original nonlinear limit state function,that is to say,to compute the joint probability of the failure domains of the obtained hyperplanes.

        Accordingly,as shown in Fig.1(b),when the original nonlinear safety domain is a local convex set,it is easy to compute the safety probability of the original nonlinear safety domain by using the safety domain of each hyperplane.The safety domain is replaced approximately by the set intersection of the safety domains of the above obtained hyperplanes, namelyPScan be obtained as

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        In fact,the computation of the safety probability is transformed into that of series system consisting of the above hyperplanes.

        Therefore,computingPForPSdepends on whether the failure domain or the safety domain is a convex domain.It is much more easy to calculate the probability of a convex domain.

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        If neither the failure domain nor the safety domain of the original nonlinear limit state function is a convex domain,the system consisting of the above hyperplanes is neither a parallel one nor a series one,and it is much more complicated to compute the system reliability.In the paper,the case is not discussed for the time being.

        3.An algorithm of MHCM

        It is not diffcult to calculatePFiorPSiof each hyperplane using Eq.(6)or Eq.(2),but it is comparatively diffcult to compute the joint probabilityPForPSof all the obtained hyperplanes by using Eq.(8)or Eq.(10).In the paper,the failure or safety probability of the system consisting of the obtained hyperplanes is gotten by a method,called as a sequential equivalent computing algorithm[12].

        Afterk+1 hyperplanes are acquired,they are arranged in the increasing order of the distances between the origin and the obtained points.The arranged hyperplanes areZl0=0,Zl1=0,…,Zlk=0,whereZl0=0 is the obtained main hyperplane,andZl1=0,…,Zlk=0 are the obtained subhyperplanes.

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        Theith(i=2,3,…,k)equivalence hyperplane=0 is gotten using the(i-1)th equivalent hyperplane=0 and theith sub-hyperplaneZli=0.Therefore,thekth equivalence hyperplane or the last equivalence hyperplane=0 is gotten by using=0 and the last sub-hyperplaneZlk=0.

        The equivalent failure probability of a parallel system consisting of two hyperplanes is given by

        The equivalent reliability of a series system consisting of two hyperplanes is given by

        在傳播傳統(tǒng)體育文化的過程中,大眾媒體的作用仍然極為關(guān)鍵。在我國電視媒體普遍具有一定的公益性,其中中央電視臺的報道視角,更加傾向于傳統(tǒng)的民族文化。因此在傳播民族體育文化的過程中,可通過中央電視臺第五頻道,打造民族體育文化的傳播平臺,例如,該頻道可設(shè)置賽龍舟、民間武術(shù)以及舞獅等體育運動的專題節(jié)目。通過央視媒體的傳播,傳統(tǒng)運動將得到更好的推廣。再有我國的地方媒體,也應(yīng)當(dāng)對本地區(qū)的特色體育項目進(jìn)行集中報道。例如,在對民間武術(shù)的報道過程中,地方媒體可突出武術(shù)派別的地域差異,通過這樣的宣傳,民間愛好者的鄉(xiāng)土情結(jié)將得到激發(fā),對于該項賽事的關(guān)注度也將得到提升。

        where Φ-1(·)is the inverse function of accumulative integral function of standard normal distribution.

        Theith equivalent reliability index is

        (三)教學(xué)形式單一枯燥。教學(xué)形式的好壞直接關(guān)系到學(xué)生的學(xué)習(xí)興趣,以及高中教學(xué)的創(chuàng)新性,進(jìn)而對學(xué)生的學(xué)習(xí)情況有所影響。我國當(dāng)前的高中音樂教學(xué)過程中,存在著明顯的教學(xué)形式單一枯燥等現(xiàn)象,大多數(shù)音樂教師在高中音樂的教學(xué)過程中,多以音樂的教學(xué)為主,而忽視了培養(yǎng)學(xué)生的音樂鑒賞能力以及鑒賞水平。單一枯燥的教學(xué)形式大大削弱了高中學(xué)生們的學(xué)習(xí)積極性,為新課改形勢下高中音樂的教學(xué)帶來了阻礙。

        According to the sequential equivalent computing algorithm,the frst equivalence computation is obtained by the main hyperplaneZl0=0 and the sub-hyperplaneZl1=0. Therefore,the frst equivalent hyperplane=0 can be obtained.The equivalent conditions are as follow:(1)the obtained equivalenthyperplane is parallelto the main hyperplane;and(2)the reliability of the equivalent hyperplane is equal to that of system consisting of the two hyperplanes.

        where αeis a 1×norder matrix,which is the same as α0of the main hyperplane,because=0 is parallel to the main hyperplaneZl0=0.αeis denoted by

        Obviously,it is easy to know that

        The process of equivalence is shown in Fig.1(a).

        Especially,the comprehensive failure probabilityof the system consisting of the obtained hyperplanesZl0=0,Zl1=0,…,Zlk=0 can be estimated by

        The failure probabilityPFof the original limit state function can be estimated byPF≈And the reliability index β can be given by β=Φ-1(1-PF).

        Accordingly,as shown in Fig.1(b),for the convex safety domain,the method of obtaining any equivalent hyperplane is as follows.

        Theith equivalent reliability indexis

        Theith equivalent hyperplane=0 is

        Theith equivalent hyperplane=0 can also be expressed by Eq.(13).

        研究指出,抑郁癥具有一定的遺傳因素,可能與基因有關(guān),也可能與血液有關(guān),抑郁癥家族人員患抑郁癥的比例要比其他家庭高10倍以上,血緣關(guān)系越近,抑郁癥的發(fā)病率越高。筆者在近幾年的工作中發(fā)現(xiàn),重度抑郁的學(xué)生多來自抑郁癥家族遺傳。

        PSandPFof the original limit state function can be estimated by

        4.Sensitivity analysis using MHCM

        From the section above,it is known that the fnal equivalent hyperplane can be expressed by

        When the random variables are not standard normal variables,they should be transformed into standard normal random variables.Assuming thata random variableyi(i=1,2,3,…,n)is a normal variable,and its mean value and standard deviation are μiand σi,respectively.Let two 1×norder matrixes be

        And,σ is ann×norder diagonal matrix,of which the diagonal elements are σ1,σ2,σ3,…,σnrespectively.

        where Φ(·)is the probability density function of the standard normal distribution.

        Substituting Eq.(24)into Eq.(21),we have

        Eq.(21)can be rewritten as

        Based on Eq.(27),μiand σican be used to obtain the equivalent mean valuethe standard deviationthe reliability indexand the failure probabilityof the equivalent hyperplane

        “為了滿足工業(yè)建設(shè)的迫切需要,20世紀(jì)50年代要將各種電壓等級從最高22千伏統(tǒng)一升至35千伏,每天忙得頭疼;六七十年代隨著時代發(fā)展需要,又逐步升到110千伏和220千伏,只用了十來年甚至就是幾年時間,且昆明電網(wǎng)一直保持著西南甚至全國高海拔地區(qū),最早設(shè)計投運當(dāng)時國內(nèi)最高電壓等級的紀(jì)錄?!被貞浧鹦轮袊闪⒁詠矸旄驳氐淖兓?,老專家覃國成對許多細(xì)節(jié)記憶猶新,很是自豪。

        本文詳細(xì)闡述并實現(xiàn)了視差貼圖技術(shù),該技術(shù)在運動視差、自遮擋和表面自陰影方面有著更好的表達(dá),使得繪制的物體看起來更加逼真。其中,著重描述了計算高度場與觀察射線交點的算法以及計算表面自陰影的算法。

        From Eqs.(15)and(26),we know that the sensitivities of μiand σi(i=1,2,3,…,n)for the computed failure probabilitycan be gotten by

        Eq.(24)can be introduced.

        Referring to Fig.1,using Eqs.(32)and(33)can come to the conclusion that the absolute values of the sensitivities computed based on MHCM are usually smaller than those computed based on FORM when the failure domain is a convex one.The reason is that the reliability index computed by using MHCM is bigger than that computed by using FORM.When the safety domain is a convex one,the opposite conclusion is obtained.

        蜂窩汽封與其他各種形式的“硬齒”汽封相比,它的汽封齒最薄,硬度也最低,因此碰磨時不會象其他“硬齒”汽封一樣在轉(zhuǎn)子表面留下顯著的磨痕。同時,蜂窩汽封與其他“硬齒”汽封不同,在與轉(zhuǎn)子碰磨時象不會產(chǎn)生“刀片”切割現(xiàn)象,這是它不會磨傷轉(zhuǎn)子的主要原因。梳齒類汽封的每一根汽封齒,在與轉(zhuǎn)子碰磨時猶如車刀,很容易在轉(zhuǎn)軸或覆環(huán)表面割出溝槽。此外,蜂窩汽封由于它曲折的網(wǎng)狀結(jié)構(gòu)使其表面面積大大增加,又極大地提高了它的耐磨性,因此蜂窩汽封既耐磨又不易磨傷轉(zhuǎn)子是它突出的一個特點。

        5.An example

        A pull rod with equal diameter is subjected to a constant loadF=1.5e+5N.The mean values and standard deviations of the diameterdand yield limitrare μd=32 mm, σd=3 mm,and μr=295 MPa,σr=25 MPa,respectively. Let's compute the failure probability and parametric sensitivities of the pull rod.

        For the convex failure domain,the method of obtaining any equivalent hyperplane is as follows.

        Letx1,x2~N(0,1),we have

        Table 1Parameters of lines.

        Substituting Eq.(35)into Eq.(34)yields

        FORM is used to obtain the reliability index β=2.044 659 4 and the failure probabilityPF=0.020 444 2. The limit state function expressed by Eq.(36)is nonlinear so that the failure and safety domains are nonlinear,too.Because of this,the failure probability computed using FORM may be not accurate enough.It cannot ensure that the sensitivities of FORM failure probability are accurate enough.

        In this reliability problem,the most probable failure domain can be thought to be only located near the design point,and the safety domain near the design point is a convex one.Clearly,forn=2,the hyperplanes are reduced to the lines.In order to illustrate the effectiveness of the method proposed in the paper,one main lineZl0=0 and four sub-linesZl1=0,Zl2=0,Zl3=0,Zl4=0 are gotten to replace the limit state curve.It is not diffcult to know that the fve lines consist of a series system.

        According to the fve lines,four corresponding reliability indexescanbecomputedbyusingofEqs.(17)and(18).Also,four equivalent lines can be obtained by using Eq.(13),and they are parallel to the main line.The parameters σ and β of the fve obtained lines and four equivalent lines are listed in Table 1.

        It is known that the original limit state curve is replaced equivalently by the last equivalent lineZe4=0.The computational results of β,PFand the errors ofPFare given in Table 2.The simulation number of MCSM is 107

        It can be seen from Table 2 that β andPFcomputed by MHCM is very close to those obtained by MCSM.Compared with MCSM,the error ofPFcomputed by MHCM or the last equivalent line is only-0.083%.The error is less than that computed by SORM,and far less than that computed by FORM.

        Table 2Comparisons of failure probabilities.

        Table 3Comparisons of sensitivities.

        In the example,because FORM is to replace the convex nonlinear safety domain with a linear safety domain which is determined by a tangent line of the limit state curve through the design point,the actually calculated safety domain of FORM is far greater than safety domain of the original limit state function,and FORM overestimates reliability.So,the safety probability computed by FORM is far bigger than the truesafety probability.That is,thefailureprobability computed by FORM is far smaller than the true failure probability(see the last row of Table 2).It can be seen from Fig.1(b)that the safety domain calculated by MHCM is a little greater than the original safety domain,so the failure probability computed by MHCM is a little smaller than the true failure probability.

        MHCM can be used to obtain more accurate computational results of not only the failure probability but also sensitivity analysis.The computed sensitivities and the absolute value errors of the computed sensitivities are listed in Table 3.The simulation number of MCSM is also 107.

        From Table 3,some conclusions can be drawn as follows.

        (1)The absolute values of the sensitivities by MHCM are bigger than those by FORM.

        對套管瓷套表面受力情況進(jìn)行分析,在變壓器抽真空期間(在真空度為4mbar以下的狀態(tài)下),計算是按照變壓器內(nèi)部為絕對真空進(jìn)行計算,油箱承受101Kpa(約為1個大氣壓)的內(nèi)外壓差,變壓器油箱的材料為Q235B的鋼板,厚度約為20mm厚,利用力學(xué)分析中常用的方法,采用PRO/engineer Wildfire建立的模型,結(jié)構(gòu)強(qiáng)度分析采用ANSYS軟件,在進(jìn)行數(shù)值分析時,部分單元格采用ANSYS的Mesh模型結(jié)構(gòu)和計算機(jī)硬件系統(tǒng)設(shè)定合適的單元劃分。

        (2)Compared with the sensitivities computed by FORM,the sensitivities computed by MHCM are closer to the sensitivities simulated by MCSM

        (3)Although FORM overestimates the reliability(see Table 2, the reliability index computed by using FORM is bigger than the true value,or the failure probability computed by using FORM is smaller the true value),it underestimates the degree to which the distribution parameters infuence the reliability.

        (4)The absolute values of the sensitivities computed by MHCM may be bigger or smaller than the ones simulated by MCSM.The reason is that the algorithm of MHCM in the paper may cause the errors that can not be easy to know and control.

        (5)The sensitivities of the parameters μd,σdand μrcomputed by MHCM are much more easier to be close to the sensitivities estimated by MCSM.In the example,the fve lines can be used to make the failure probability relatively accurate and the sensitivities are close to those by MCSM, but it can not make all the sensitivities accurate enough.

        6.Conclusions

        If the failure probability of a nonlinear limit state function cannot be computed accurately by a method,the sensitivitiesfor the failure probability cannot be computed accurately by the method either.In the case of the nonlinear limit state function,using FORM to analyze the sensitivities almost certainly underestimates or overestimates the degree to which the parameters of random variables infuence the reliability. By replacing the original limit state hypersurface with some hyperplanes,MHCM can improve the calculation accuracy of the reliability and the sensitivities,and makes all the computational results closer to their corresponding true values.

        To obtain much more accurate computational results of the reliability and the sensitivities,more hyperplanes may be selected if necessary.In practical applications,not so many hyperplanes are required to get enough accurate results of computing the reliability and the sensitivities.For a certain nonlinear limit state function with single design point,2n+1 hyperplanes are a good choice.It is undoubted that how to select the number of hyperplanes and how to satisfy the requirement of the given accuracy in calculating the reliability and the sensitivities should be made in the further research.

        [1]Karamchandani A,Cornell C.Sensitivity estimation within frst and second order reliability methods.Struct Saf 1991;11(2):95-107.

        [2]Bjerager P,Krenk S.Parametric sensitivity in frst order reliability analyses.J Eng Mech 1989;115(7):1577-82.

        [3]Jin YJ,Zhang YM,Zhang YL.Analysis of reliability and reliability sensitivity for machine components by mean-value frst order saddlepoint approximation.J Mech Eng 2009;45(12):102-7[In Chinese].

        [4]Breitung K.Asymptotic approximations for multinormal integrals.J Eng Mech 1984;110(3):357-66.

        光電開關(guān)采用M12 NPN型對射型光電開關(guān),當(dāng)發(fā)射端與接收端中間有物體遮擋時,接收端有信號輸出,一般為低電平;反之輸出高電平。由于輸出的是模擬信號,需要通過AD轉(zhuǎn)換器轉(zhuǎn)換為數(shù)字信號以供讀取。友善mini2440內(nèi)置開發(fā)板,通過GPIO口引出了AD轉(zhuǎn)換接口,故將光電開關(guān)的輸出端接到開發(fā)板的AD轉(zhuǎn)換口即可。

        [5]Melchers RE,Ahammed M.A fast approximate method for parameter sensitivity estimation in Monte Carlo structural reliability.Comput Struct 2004;82(1):55-61.

        [6]Wu YT,Sitakanta M.Variable screening and ranking using samplingbased sensitivity measures.Reliab Eng Syst Saf 2006;91(6):634-47.

        [7]Zhang F,Lu ZZ.An adaptive importance sampling method for estimation of reliability sensitivity.Eng Mech 2008;25(4):80-4[In Chinese].

        [8]Song SF,Lu ZZ.The reliability sensitivity analysis based on saddle point approximation and its improved method.Chin J Theor Appl Mech 2011;43(1):162-8[In Chinese].

        [9]Feng YS.The computation of failure probability for nonlinear safety margin equation.Reliab Eng Syst Saf 1990;27(3):323-31.

        [10]Mahadevan S,Shi P.Multiple linearization method for nonlinear reliability analysis.J Eng Mech 2001;127(11):1165-73.

        [11]Shin Youngwon,(Justin)Wu Y-T.Progressive importance sampling approach for reliability analysis.In:47th AIAA/ASME/ASCE/AHS/ASC Structures,Structural Dynamics,and Materials Conference,Newport, Rhode Island;2014.p.1-8.

        [12]Lu HT,Dong YG.Study of multiple-plane combination approximation method for structural reliability analysis.Chin J Comput Mech 2013;30(3):343-8[In Chinese].

        Received 15 October 2013;revised 7 July 2014;accepted 30 July 2014 Available online 4 September 2014

        *Corresponding author.

        E-mail address:dyghfut@163.com(Y.G.DONG).

        Peer review under responsibility of China Ordnance Society.

        http://dx.doi.org/10.1016/j.dt.2014.07.010

        2214-9147/Copyright?2014,China Ordnance Society.Production and hosting by Elsevier B.V.All rights reserved.

        Copyright?2014,China Ordnance Society.Production and hosting by Elsevier B.V.All rights reserved.

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