本文選題：臂架結(jié)構(gòu) + 區(qū)間非概率　； 參考：《太原科技大學》2017年碩士論文

【摘要】：履帶起重機應用于各個工程領(lǐng)域,其臂架結(jié)構(gòu)的安全性決定了整機的安全性和使用性能。近年來,研究臂架結(jié)構(gòu)的可靠性越來越受到重視。而傳統(tǒng)的可靠性模型依靠概率論及模糊數(shù)學作為理論基礎(chǔ),都需要大量的樣本信息來定義不確定參數(shù)的概率分布和隸屬函數(shù),由于履帶起重機小批量生產(chǎn),而且實驗費用成本相對較大,難以得到傳統(tǒng)可靠性模型需要的大量樣本信息。當樣本信息不足時,非概率可靠性模型是前兩種模型的很好補充。同時,由于環(huán)境因素、材料自身的變化,結(jié)構(gòu)的抗力會隨著時間退化,其可靠度不再是一個固定的值,而會表現(xiàn)出時變特性。本文旨在針對影響結(jié)構(gòu)安全的不確定參數(shù)的樣本信息不足的情況下,開展有限樣本條件下的履帶起重機非概率可靠性研究,并提出了考慮抗力隨時間退化和載荷時間效應的非概率可靠性的理論模型及求解方法。主要研究內(nèi)容包括:(1)基于區(qū)間非概率的理論,提出了一種新的履帶起重機臂架結(jié)構(gòu)可靠性分析模型及求解方法,用區(qū)間來量化描述不確定性參數(shù)。通過分析臂架結(jié)構(gòu)極限狀態(tài)函數(shù)與不確定性參數(shù)可行域之間的關(guān)系,來確定其安全可靠程度。(2)考慮結(jié)構(gòu)抗力隨時間退化以及載荷時間效應,綜合分析臂架結(jié)構(gòu)中的時變不確定性參數(shù),借鑒隨機過程理論中的首次跨越思想,提出了基于區(qū)間非概率的臂架結(jié)構(gòu)時變可靠性模型,并給出了求解方法。(3)運用VC++編程,對部分變量參數(shù)化,計算了臂架結(jié)構(gòu)靜態(tài)可靠性以及時變可靠性。并研究了不同起重量、不確定參數(shù)區(qū)間變化對臂架靜態(tài)結(jié)構(gòu)可靠性的影響,同時計算了臂架結(jié)構(gòu)抗力在不同時間的變化值。通過工程實例的分析,證明了基于區(qū)間非概率模型來研究履帶起重機臂架結(jié)構(gòu)的可靠性具有一定的可行性,該研究為其他大型工程機械的可靠性分析提供了參考。
[Abstract]:Crawler crane is used in various engineering fields, and the safety of its boom structure determines the safety and performance of the whole machine. In recent years, more and more attention has been paid to the reliability of arm structure. However, the traditional reliability model relies on probability theory and fuzzy mathematics as the theoretical basis, and requires a large amount of sample information to define the probability distribution and membership function of uncertain parameters. Because of the small batch production of crawler crane, the traditional reliability model needs a lot of sample information to define the probability distribution and membership function of uncertain parameters. Moreover, the cost of the experiment is relatively high, so it is difficult to obtain a large amount of sample information needed by the traditional reliability model. When the sample information is insufficient, the non-probabilistic reliability model is a good supplement to the first two models. At the same time the resistance of the structure will degenerate with time due to the environmental factors and the change of the material itself. The reliability of the structure will not be a fixed value but will show time-varying characteristics. The purpose of this paper is to study the non-probabilistic reliability of crawler cranes under the condition of limited samples when the sample information of uncertain parameters affecting structural safety is insufficient. A non-probabilistic reliability model and its solution considering the time degradation of resistance and the time effect of load are presented. The main research contents include: (1) based on the theory of interval non-probability, a new reliability analysis model and solution method of crawler crane jib structure are proposed. The uncertain parameters are quantitatively described by interval. By analyzing the relationship between the limit state function of the boom structure and the feasible region of uncertain parameters, the safety reliability of the boom structure is determined. (2) considering the degradation of structural resistance with time and the time effect of load, By synthetically analyzing the time-varying uncertain parameters in the arm structure and referring to the first span idea in the stochastic process theory, the time-varying reliability model of the arm structure based on interval non-probability is proposed, and the solution method is given. For partial variable parameterization, static reliability and time-varying reliability of boom structure are calculated. The influence of different lifting weights and uncertain parameter ranges on the reliability of the static structure of the boom is studied, and the variation value of the resistance of the boom structure at different time is calculated. Through the analysis of engineering examples, it is proved that it is feasible to study the reliability of crawler crane jib structure based on interval non-probabilistic model, which provides a reference for the reliability analysis of other large-scale construction machinery.
【學位授予單位】：太原科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TH213.7

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本文編號：1967156