【摘要】：本文在智能張力結(jié)構(gòu)和張弦梁結(jié)構(gòu)的發(fā)展和應(yīng)用基礎(chǔ)上,提出一類具有廣泛工程應(yīng)用前景的智能張力結(jié)構(gòu)：自適應(yīng)張弦梁結(jié)構(gòu)(ABSS),即在張弦梁結(jié)構(gòu)的基礎(chǔ)上,用可調(diào)伸縮桿替換原結(jié)構(gòu)中的豎向撐桿或拉索作為作動(dòng)器,并附加測(cè)試結(jié)構(gòu)工作狀態(tài)的傳感器和分析處理測(cè)試信息的控制器形成的智能結(jié)構(gòu)。為保證該類結(jié)構(gòu)的正常工作,本文綜合運(yùn)用隨機(jī)搜索、線性力法、非線性有限元法和模糊決策等理論與數(shù)值方法,針對(duì)該類結(jié)構(gòu)控制理論、靜力性能、優(yōu)化設(shè)計(jì)以及傳感器優(yōu)化布置等四個(gè)方面中存在的共性科學(xué)問(wèn)題及關(guān)鍵技術(shù)挑戰(zhàn)展開(kāi)深入研究和探討。 采用結(jié)構(gòu)力法,推導(dǎo)了自適應(yīng)張弦梁結(jié)構(gòu)的理論控制模型,給出結(jié)構(gòu)在恒荷載作用下的幾何構(gòu)形控制方程,以及在均布活荷載和風(fēng)荷載作用下的工作狀態(tài)控制方程。采用有限單元法,推導(dǎo)了考慮作動(dòng)器耦合效應(yīng)的結(jié)構(gòu)有限元方程,并通過(guò)靈敏度分析法建立了結(jié)構(gòu)幾何構(gòu)形和工作狀態(tài)線性控制的優(yōu)化模型,采用模擬退火算法搜索得到線性控制的最優(yōu)解,在此基礎(chǔ)上,引入一個(gè)非線性有限元計(jì)算重新評(píng)估控制效果并加以修正的迭代過(guò)程,實(shí)現(xiàn)自適應(yīng)張弦梁結(jié)構(gòu)的單目標(biāo)非線性優(yōu)化控制。 根據(jù)決策者對(duì)內(nèi)力、位移以及能耗等控制目標(biāo)的偏好要求,建立了考慮目標(biāo)優(yōu)先級(jí)要求的自適應(yīng)張弦梁結(jié)構(gòu)多目標(biāo)控制模型。采用模糊決策的理論,用滿意度和滿意度序來(lái)描述控制模型中目標(biāo)的優(yōu)化程度和目標(biāo)之間的優(yōu)先級(jí),來(lái)輔助決策者在相同的量綱上評(píng)估結(jié)構(gòu)的控制目標(biāo)。根據(jù)分層交互優(yōu)化的思路,通過(guò)基于目標(biāo)滿意度序和目標(biāo)加法模型的交互式模糊優(yōu)化算法來(lái)輔助決策者進(jìn)行先驗(yàn)偏好信息和局部偏好信息的確定和引入,實(shí)現(xiàn)自適應(yīng)張弦梁結(jié)構(gòu)的多目標(biāo)控制。 自適應(yīng)張弦梁結(jié)構(gòu)根據(jù)作動(dòng)器的布置方式可劃分為撐桿式和拉索式,且考慮拉索式自適應(yīng)張弦梁結(jié)構(gòu)中拉索的可連續(xù)或不連續(xù)。研究?jī)深惤Y(jié)構(gòu)在均布荷載和非均布荷載作用下的靜力性能,發(fā)現(xiàn)撐桿式自適應(yīng)張弦梁結(jié)構(gòu)的調(diào)控效果和調(diào)控效率均最優(yōu)。以撐桿式自適應(yīng)張弦梁結(jié)構(gòu)為研究對(duì)象,分析結(jié)構(gòu)靜力性能隨幾何構(gòu)形參數(shù)、截面特性參數(shù)和作動(dòng)器參數(shù)等參數(shù)的變化規(guī)律,并以此為設(shè)計(jì)依據(jù),提出基于結(jié)構(gòu)性能的優(yōu)化設(shè)計(jì)方法,對(duì)結(jié)構(gòu)進(jìn)行設(shè)計(jì)。 以自適應(yīng)張弦梁結(jié)構(gòu)的調(diào)控性能最大為優(yōu)化目標(biāo),建立考慮結(jié)構(gòu)可控性的作動(dòng)器優(yōu)化布置模型,并通過(guò)序列法和隨機(jī)搜索算法求解獲得作動(dòng)器的最優(yōu)布置方案。通過(guò)分析作動(dòng)器優(yōu)化布置模型的計(jì)算復(fù)雜度,建立學(xué)習(xí)策略為結(jié)構(gòu)非線性控制算法選擇合適的初始解,以減小算法的迭代次數(shù)來(lái)提高算法的運(yùn)算效率；根據(jù)計(jì)算機(jī)多核運(yùn)算的思路,采用操作并行和試驗(yàn)并行策略對(duì)模擬退火算進(jìn)行改進(jìn),加快了搜索算法的搜索速度。 本文的研究工作完善和推進(jìn)了自適應(yīng)張弦梁結(jié)構(gòu)控制理論和優(yōu)化設(shè)計(jì)理論的發(fā)展,為該類結(jié)構(gòu)的工程應(yīng)用提供了理論基礎(chǔ)和技術(shù)支持,同時(shí)本文的研究是基于自適應(yīng)張弦梁結(jié)構(gòu),但又不依賴于該結(jié)構(gòu),研究成果也適用于其他類型智能張力結(jié)構(gòu)。
[Abstract]:In this paper, on the basis of the development and application of the intelligent tension structure and the string beam structure, a class of intelligent tension structure with wide application prospect is put forward: the self-adaptive tension beam structure (ABSS), that is, on the basis of the structure of the string beam, the adjustable telescopic rod is used for replacing the vertical stay bar or the stay cable in the original structure as the actuator, and the sensor and the intelligent structure formed by the controller for analyzing the working state of the test structure and the controller for analyzing and processing the test information are added. In order to guarantee the normal operation of this kind of structure, this paper comprehensively uses the theory and numerical method of random search, linear force method, non-linear finite element method and fuzzy decision, aiming at the control theory and static performance of this kind of structure, The common scientific problems and key technology challenges existing in the four aspects such as the optimization design and the sensor optimization arrangement are in-depth study and discussion. The structural force method is used to derive the theoretical control model of the self-adaptive tension beam structure, and the geometric configuration control equation of the structure under the action of constant load is given. In this paper, the finite element method is used to derive the structural finite element equation considering the coupling effect of the actuator, and the optimization model of the structure geometry and the linear control of the working state is established by the sensitivity analysis method. The optimal solution of the linear control is obtained by using the simulated annealing algorithm. In this paper, a nonlinear finite element method is introduced to re-evaluate the control effect and modify the iterative process to realize the single-target nonlinear optimization control of the self-adaptive tension beam structure. Based on the decision-maker's preference for controlling the internal force, displacement and energy consumption, the multi-objective control of the self-adapting string beam with the target priority is established. Using the theory of fuzzy decision, the satisfaction degree and the degree of satisfaction are used to describe the degree of the objective in the control model and the priority between the targets, so as to assist the decision-maker in evaluating the control of the structure on the same dimension. According to the idea of the optimization of the layered interaction, the decision and the introduction of the prior preference information and the local preference information are assisted by the interactive fuzzy optimization algorithm based on the objective satisfaction sequence and the target addition model, so as to realize the multi-purpose of the self-adaptive tension string beam structure. The self-adaptive tension beam structure can be divided into a stay type and a stay cable type according to the arrangement mode of the actuator, The static performance of two types of structures under both uniform and non-uniform loads is studied, and the control effect and control of the strut-type self-adaptive tension beam structure are found. The efficiency is optimal. The variation law of the structural static performance with the geometric configuration parameters, the cross-section characteristic parameters and the parameters of the actuator is analyzed with the structure of the strut-type self-adaptive strain-string beam as the research object. In order to optimize the control performance of the self-adaptive tension beam structure, the optimal layout model of the dynamic device considering the controllability of the structure is established, and the obtained actuator is solved by the sequence method and the random search algorithm. By analyzing the computational complexity of the optimization layout model of the dynamic device, the optimal initial solution is selected for the nonlinear control algorithm of the structure to reduce the number of iterations of the algorithm to improve the operation efficiency of the algorithm; and according to the computer, the calculation complexity of the optimization layout model is analyzed, the optimal initial solution is selected for the structure nonlinear control algorithm, the iterative times of the algorithm are reduced, the operation efficiency of the algorithm is improved, The idea of multi-core operation is to improve the simulated annealing by using the parallel and parallel strategy of operation, and speed up the search. The search speed of the algorithm is improved and the development of the adaptive tension beam structure control theory and the optimization design theory is advanced, and the theoretical foundation and technical support are provided for the engineering application of this kind of structure, and the research of this paper is based on the self-adaptive tension beam structure, but does not rely on the structure, and the research results are also applicable to the structure,
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU399

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