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1、<p><b> 中文1300字</b></p><p> Maritime Engineering 159</p><p> December 2006 lssue MA4</p><p> Pages 137-140</p><p> Specifying seawall crest levels
2、 using a probabilistic method</p><p> Probabilistic methods provise a powerful frame word for the design of coastal defenses. However, present knowledge of the behavior of these structures is insufficient t
3、o assess their safety against specific types of failure, such as excessive overtopping by wave action. However, the choice of overtopping model used to describe the failure is crucial to the outcome of the assessment. Th
4、e paper illustrates the different results obtained from two models used to describe wave overtopping. The models</p><p> 1. INTRODUCTION</p><p> In the design lf seawalls, it is important to s
5、trike the correct balance between satisfying the structural and functional requirement of the project, avoiding unnecessary expense, and having undesirable impacts on the surrounding environment. one important element in
6、 such considerations is the choice of the seawall crest level(CL)which is necessary to limit to permissible valves the mean wave overtopping discharge per unit length of seawall (Q).Basic variable which are relevant to t
7、he choice of </p><p> Besides listing many of the wide range of consequences and potential effects of wave overtopping in urban areas, this paper provides an example of the use of a probabilistic method in
8、determining the crest level of a seawall subject to the action of a combination of wind-sea and swell (bimodal wave conditions).The purpose is to illustrate the importance in probabilistic design of the choice of model r
9、est to describe failure. The degree of confidence in the determined crest level will vary depend</p><p> 2. SINGLE FAILURE MODE PROBABILITY ANALYSIS </p><p> In probabilistic methods, theoreti
10、cal expressions or empirical formulae describing single failure modes may be used to define a failure function ,Z=Z(X1,...,XN),where Xi ,i=1,...,N are the N basic variables of the problem (e.g. water level, wave conditio
11、ns, structure dimensions and material properties).positive values of Z imply the absence of failure and zero or negative values represent failure in the mode being considered, the surface defined by Z=0 is Calles the fai
12、lure surface. Variables wh</p><p> Since some of the resistance or load variables are random (and may even be correlated), the value of the failure function is also a random variable, and the probability of
13、 failure (Pf),during a specified reference period, can be expressed as </p><p><b> ?。?)</b></p><p> In which fx1....xn is the joint probability density function of the basic variab
14、le X1... Xn.</p><p> Expiration (10forms the mathematical basis of probabilistic analysis, with the exception of simple failure functions of just a few random variables, the multiple integrations cannot be
15、performed analytically abed have to be approximated in some way. This is the aim of the various probabilistic methods; these methods are often classified according to the types of calculations performed and the approxima
16、tions made. Three levels are commonly distinguished. They are listed here in order of decreasin</p><p> ?。╝)Level Ⅲ :the full distribution approach. This method provides an ‘exact’ probabilistic analysis, us
17、ing full joint probability density functions including the correlations among the variable. Use is made of numerical integration or, more commonly, sampling techniques.</p><p> ?。╞) Level Ⅱ:the limit state a
18、pproach. Approximation methods are applied in which the generally non-normal and/or correlated variables are transformed into Normal independent variables. Reliability indices are used as measures of the reliability.<
19、/p><p> (c)Level Ⅰ:the limit state approach. This level involves calculations uncharacteristic values and partial load and resistance factors. The factors represent, for example, the ratio of load at failure t
20、o a permissible working load.</p><p> 3. PARASODE-BALI</p><p> PARASODE-BALI (Probabilistic Assessment of Risks Associated with Seawall Overtopping, Dune Erosion and Breakwater Aroour Layer In
21、stability)is an extended version of PQRASODE, which uses the Level Ⅱ First Order Reliability Method (FORM).As the name suggests, the program concentrates on three failure mechanisms, but the majority of the code is gene
22、ric and can be applied with minor adjustments to other types of failure.</p><p> PARASODE-BALI operates in two ways:</p><p> (a)the ‘a(chǎn)nalysis mode’ in which the failure probability is calculat
23、ed or a given value of the design parameter (e.g. the crest level of a seawall).</p><p> (b)the ‘design mode’ in which the value of a specific design parameter is calculated for a target probability of fail
24、ure.</p><p> The program incorporates routines for transforming the correlated variables to a set of independent variables and for mapping non-Normal distributions to equivalent Normal distributions. The tr
25、ansformation of non-Normal variables into Normal variables is performed following the methodology of Racdwitz and Fiessler. The transformation of correlated variables into independent variables is performed following the
26、 methodology of Racdwitz and Fiessler. The transformation of correlated variables into </p><p> There are ten continuous, pre-defined, statistical distributions programmed in PARASODE-BALI: Normal, logarith
27、mic Normal, umbel, uniform, Gamma, Beta, Freshet, exponential, Rayleigh and We bull. Each distribution may be truncated either on the left or on the fight side by using the method of Beaumont.4 the random variables can a
28、lso be described by empirical distributions, defined by the user, which are the result of measurements not easily fitted by a pre-defined distribution.</p><p> Output from PARASODE-BALI relating to wave ove
29、rtopping has been validated using the Level [] commercial software package@Risk.s,6</p><p> 4. A PROBABILISTIC METHOD APPLIED TO WAVE OVERTOPPING OF SEAWALLS BY BIMODAL SEAS</p><p> 4. I. Wave
30、 overtopping models </p><p> The failure mode of wave overtopping is implemented in PARASODE-BALI using the models of Hedges and Reis, Vander Meer and Janssen and Owen. One of the main contributions to unce
31、rtainty in probabilistic seawall design with respect to overtopping is associated with the overtopping model adopted to describe failure. In order to illustrate the importance of the choice of model to the design, the He
32、dges and Reis and the Van der Meer and Janssen models are used in the case study described in Section 5</p><p> Hedges and Reis </p><p> Vander Meer and Janssen</p><p> where Q i
33、s the mean permissible wave overtopping discharge per unit length of seawall; A and B are empirical coefficients ; is the surf similarity parameter or Irizarry number for random waves, ; g is the gravitational accelerat
34、ion; r is the seawall slope roughness; is the seawall freeboard, CL-SWL; is the effective freeboard when the front slope is rough rather than smooth.</p><p> 原文摘自Maritime Engineering(《海洋工程》159期(2006年12月)
35、第137頁(yè)至140頁(yè))</p><p><b> 譯文:</b></p><p> 垂直防波堤的概率統(tǒng)計(jì)方法</p><p> 在防波堤工程的設(shè)計(jì)中,概率論方法無(wú)疑是一個(gè)強(qiáng)有力的方法。然而,有關(guān)防波堤結(jié)構(gòu)在波浪的作用下的反映的知識(shí)有限,并不能對(duì)防波堤的安全做出全面的預(yù)測(cè)和評(píng)估。概率論的確可以成功的預(yù)測(cè)某種特殊形式的破壞,比如防波堤的越頂波
36、浪。然而,用來(lái)分析破壞的越頂模型對(duì)評(píng)估的結(jié)果有著十分重要的影響。這篇文章分析、說(shuō)明了兩種用來(lái)描述波浪越頂?shù)哪P偷膮^(qū)別。這些模型是在名為PARASODE-BALL的計(jì)算機(jī)軟件中完成的。這個(gè)軟件采用ROMR方法去設(shè)計(jì)和評(píng)估海岸結(jié)構(gòu)的。由于巨型越頂波浪直接關(guān)系到結(jié)構(gòu)的安全,這兩種模型得出了相似的結(jié)果。然而,在確保都市地區(qū)人員和財(cái)產(chǎn)的安全方面兩種模型確有著巨大的區(qū)別。</p><p><b> 1、簡(jiǎn)介<
37、;/b></p><p> 在設(shè)計(jì)防波堤時(shí),平衡工程的結(jié)構(gòu)的適用性和經(jīng)濟(jì)性是十分重要的,一方面要滿足工程結(jié)構(gòu)和功能要求,另一方面又要避免不必要的支出,并且還要避免對(duì)周邊環(huán)境的不利影響。一個(gè)重要的因素就是對(duì)防波堤的垂直度(CL)的選擇,它在限制典型越頂波在單位長(zhǎng)度防波堤上的釋放的允許臨界作用起了十分重要的作用;基本變化參數(shù)的選擇,它與防波堤的垂直度的選擇有關(guān);防波堤的迎波面與水平面的傾斜角(a);靜水面的選
38、擇(SWL);</p><p> 事件波的特性,比如巨波的高度和波峰期。在一定的程度上,概率論方法可以在特殊的波浪垂直度上正確的計(jì)算結(jié)構(gòu)破壞的可能性和和結(jié)果,和處理措施。</p><p> 這篇文章, 除了列舉了許多在城市地區(qū)越過(guò)防波堤的波浪可能出現(xiàn)的廣泛后果和潛在的影響。還提供了一個(gè)垂直防波堤的工程實(shí)例,該防波堤在海風(fēng)和波浪的聯(lián)合作用下。其作用在于說(shuō)明在用概率論方法預(yù)測(cè)結(jié)構(gòu)破壞時(shí),對(duì)
39、模型選擇的重要性。在絕對(duì)垂直的防波堤時(shí),預(yù)測(cè)結(jié)果的可信程度取決于兩個(gè)方面,一方面可信度在越波模型的分布,另一方面在模型中所采用的隨機(jī)可變參數(shù)的選用。 </p><p> 2 、單破壞模型的概率分析</p><p> 用概率論方法,理論或者經(jīng)驗(yàn)公式去預(yù)測(cè)單個(gè)破壞模型時(shí)應(yīng)當(dāng)先定義破壞公式,Z=Z(X1,X2,…,Xn)其中Xi,i=1,…,N.N該問(wèn)題的表示N個(gè)基本參變量。(比如水位,波浪
40、情況,結(jié)構(gòu)的尺寸和材料性質(zhì))當(dāng)Z為正值時(shí)說(shuō)明結(jié)構(gòu)沒(méi)有破壞的危險(xiǎn)。當(dāng)Z為零或負(fù)值時(shí)說(shuō)明模型可能會(huì)出現(xiàn)破壞。把表面定義為Z=0,是破壞界面。那些會(huì)導(dǎo)致Z增大的變數(shù)定義為抵抗變數(shù),然而那些增加Z變小趨勢(shì)的參數(shù)叫做傾覆變數(shù)。</p><p> 盡管一些抵抗變數(shù)和傾覆變數(shù)是隨機(jī)的(甚至是相互關(guān)聯(lián)的),破壞方程的數(shù)值也是隨機(jī)變數(shù)。在一個(gè)特殊的參考時(shí)期內(nèi),結(jié)構(gòu)破壞的概率可以表達(dá)為</p><p>&l
41、t;b> ?。?)</b></p><p> 其中是基本變量的聯(lián)合概率密度函數(shù)</p><p> 等式(1)列出了概率分析的數(shù)學(xué)基本模型。用于預(yù)測(cè)只有幾個(gè)隨機(jī)變量的簡(jiǎn)單破壞函數(shù)。當(dāng)有多個(gè)變量的多重積分不能進(jìn)行解析,需要做某種程度的簡(jiǎn)化。這些方法往往按照計(jì)算和簡(jiǎn)化方法進(jìn)行分類。這些方法往往區(qū)分為三個(gè)層次。他們按照精確程度和難易程度的順序排列在下文在;</p>
42、<p> (a)層次三:全部分配方法。這種方法提供了一個(gè)額外的概率分析,充分利用聯(lián)合密度函數(shù),包括相互之間的變數(shù)。使用數(shù)值積分或更普遍的抽樣技術(shù)。</p><p> (b)層次二:用半概率方法。近似方法用于把一般的非正常和/或相關(guān)變量轉(zhuǎn)變?yōu)楠?dú)立變量。可信指數(shù)用來(lái)衡量可靠性。</p><p> (c)層次三:用極限狀態(tài)方法。這個(gè)層次包含基于特征值和負(fù)荷與阻力因素。這些阻力
43、因素代表了,比如,在破壞時(shí)荷載同允許的工作荷載。</p><p> 3 PARASODE-BALLS</p><p> PARASODE-BALL(概率風(fēng)險(xiǎn)評(píng)估波浪漫堤) 是PARASODE 的一個(gè)擴(kuò)展版本,它是用一級(jí)Ⅱ階的可靠性分析方法。正如它的名字所示,這個(gè)程序致力于三種破壞模式,但是最主要的核心是通用和可以應(yīng)用于微調(diào)其他形式的破壞。</p><p> P
44、ARASODE-BALL操作有兩種方法:</p><p> (a)分析模型操作,也就是對(duì)于某一給定的參數(shù)算出失敗的概率。</p><p> (b)設(shè)計(jì)模型操作,也就是對(duì)于某一目標(biāo)失敗概率算出特定的計(jì)算參數(shù)。</p><p> 該程序包含了改造相關(guān)變量為獨(dú)立變量,繪制非正態(tài)分布 等效正態(tài)分布. 是根據(jù)Rackwitz和Fiessler方法把非正態(tài)變數(shù)變轉(zhuǎn)化為正態(tài)
45、變數(shù)。把相關(guān)變量轉(zhuǎn)化為獨(dú)立變量是根據(jù)CIRIA的方法。注意到PARASODE-BALL 允許用戶在兩個(gè)變量之間指定一個(gè)非零相關(guān)值。 數(shù)值為零的相關(guān)系數(shù)確保兩個(gè)獨(dú)立變量。</p><p> 在PARASODE-BALL里面有十組連續(xù)的,預(yù)定義,統(tǒng)計(jì)分布程序:正態(tài)分布、標(biāo)準(zhǔn)正態(tài)分布、均勻分布,費(fèi)切特分布 ,指數(shù)分布,瑞利分布和維博分布 。</p><p> 每一種分布都用Beaumont方
46、法在左側(cè)或右側(cè)截?cái)?。隨機(jī)變量也可以用經(jīng)驗(yàn)分布來(lái)描述,被用戶定義,這樣評(píng)估的結(jié)果就會(huì)和預(yù)定義分布不相適應(yīng)。</p><p> 4 一個(gè)概率論方法應(yīng)用于在雙峰海的防波堤的波浪越頂。</p><p> 波浪越頂?shù)钠茐哪P驮趐arasode-ball 中建立。采用Hedges和Reis、Van der Meer 和Janssen和Owen的模型建立。為了說(shuō)明在設(shè)計(jì)中的模型選擇的重要性。Hedg
47、es,Reis,Van der Meer,Janssen,用于同一個(gè)工程的研究。詳細(xì)過(guò)程見(jiàn)第五節(jié)。破壞反映方程見(jiàn)下:</p><p> Hedges和Reis模型</p><p> Van der Meer和Janssen模型</p><p> 其中Q表示允許的波浪越頂在單位長(zhǎng)度防波堤上的釋放。A和B是經(jīng)驗(yàn)參數(shù)。是隨機(jī)波浪的相似參數(shù)。=其中g(shù)是重力加速度。r是
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