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用于結(jié)構(gòu)動(dòng)力時(shí)程分析的無(wú)條件穩(wěn)定顯式算法

發(fā)布時(shí)間:2018-04-24 12:33

  本文選題:時(shí)程分析 + 顯式算法 ; 參考:《華僑大學(xué)》2017年碩士論文


【摘要】:在結(jié)構(gòu)動(dòng)力時(shí)程分析中,直接積分法常常被用來(lái)求解結(jié)構(gòu)運(yùn)動(dòng)方程。直接積分法可以分為顯式算法和隱式算法。相比隱式算法,顯式算法的計(jì)算效率較高,但較差的穩(wěn)定性限制了其應(yīng)用,尤其是結(jié)構(gòu)進(jìn)入非線(xiàn)性后,線(xiàn)性系統(tǒng)中無(wú)條件穩(wěn)定的顯式算法可能會(huì)退化為條件穩(wěn)定。另一方面,部分算法擁有的數(shù)值阻尼可以將數(shù)值結(jié)果中虛假的高頻震蕩成分迅速剔除。但這些數(shù)值阻尼特性不能方便地引入到其他算法之中。針對(duì)這兩個(gè)問(wèn)題,本文開(kāi)展了以下研究:(1)在狀態(tài)空間下,將結(jié)構(gòu)動(dòng)力方程改寫(xiě)成了一階常微分方程的形式,并利用積分因子法導(dǎo)出了該問(wèn)題含有隱式積分項(xiàng)的精確解。利用Pade近似,對(duì)上述積分項(xiàng)進(jìn)行近似處理,提出了一類(lèi)顯式單步算法,記為Pade-based算法。該算法對(duì)位移和速度都具有二階精度,且在線(xiàn)性系統(tǒng)和非線(xiàn)性系統(tǒng)中均無(wú)條件穩(wěn)定。(2)基于顯式Adams法并利用Pade近似與高斯數(shù)值積分法,對(duì)上述隱式積分項(xiàng)進(jìn)行近似處理,構(gòu)造出了一類(lèi)顯式多步算法,記為Adams-based算法。該算法可以表達(dá)為具有任意高階精度的一般形式,且在線(xiàn)性系統(tǒng)和非線(xiàn)性系統(tǒng)中都保持無(wú)條件穩(wěn)定。通過(guò)控制Pade近似的形式,新算法的穩(wěn)定性可以在A(yíng)穩(wěn)定和L穩(wěn)定之間轉(zhuǎn)換。(3)基于廣義Pade近似,提出了一種用于構(gòu)造可控?cái)?shù)值阻尼的一般方法。該方法通過(guò)調(diào)整單一參數(shù)?,達(dá)到控制數(shù)值阻尼大小的目的。合適的數(shù)值阻尼可以使計(jì)算結(jié)果中虛假的高頻震蕩成分被剔除,同時(shí)保留真實(shí)的低頻成分。
[Abstract]:In structural dynamic time history analysis, direct integration method is often used to solve structural equations of motion. Direct integration method can be divided into explicit algorithm and implicit algorithm. Compared with the implicit algorithm, the explicit algorithm is more efficient, but its application is limited by its poor stability. Especially when the structure is nonlinear, the unconditionally stable explicit algorithm in the linear system may degenerate into conditional stability. On the other hand, the partial numerical damping can quickly eliminate the false high frequency oscillation in the numerical results. However, these numerical damping characteristics can not be easily introduced into other algorithms. For these two problems, the following research is carried out: 1) in the state space, the structural dynamic equation is rewritten into the form of the first order ordinary differential equation, and the exact solution of the problem with implicit integral term is derived by using the integral factor method. By using Pade approximation, the above integral terms are approximated, and a class of explicit one-step algorithm is proposed, which is described as Pade-based algorithm. The algorithm has second-order accuracy for displacement and velocity, and is unconditionally stable in linear and nonlinear systems. Based on explicit Adams method and using Pade approximation and Gao Si numerical integration method, the implicit integral terms mentioned above are approximated. A class of explicit multistep algorithm is constructed, which is called Adams-based algorithm. The algorithm can be expressed as a general form with arbitrary higher order accuracy and is unconditionally stable in both linear and nonlinear systems. By controlling the form of Pade approximation, the stability of the new algorithm can be transformed between A stability and L stability. Based on the generalized Pade approximation, a general method for constructing controllable numerical damping is proposed. The numerical damping is controlled by adjusting a single parameter. With proper numerical damping, the false high frequency oscillation components can be eliminated and the true low frequency components can be retained.
【學(xué)位授予單位】:華僑大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TU311.3

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