基于隨機響應面的PC連續(xù)剛構橋施工控制可靠度與靈敏度分析
[Abstract]:In the construction process of prestressed concrete continuous rigid frame bridge, the structural size, material performance and load are random, which makes the deflection and stress of the main beam difficult to fit with the ideal state of the design. Therefore, the random response surface is applied to the reliability and sensitivity analysis, and the construction control of the bridge is studied in this paper. Firstly, a random response surface method for bridge construction control is proposed, and the input problem of non-standard normal construction parameters is solved. A numerical example of cantilever beam is given to compare the advantages and disadvantages of the three methods. The analysis shows that compared with Latin hypercube sampling (Latin Hypercube Sampling,LHS) and Monte Carlo sampling (Monte Carlo Sampling,MCS), the probabilistic collocation method based on linear independent principle has the highest efficiency, and can change the order and increase the number of collocation points. Thus, the precision of random response surface is improved. Secondly, the probability density function of the state variable is fitted by combining the stochastic response surface with the higher order moment method based on the generalized 位 distribution (General Lambda Distribution,GLD, and the reliability analysis method for deflection control of the main beam based on the stochastic response surface is established. In addition, using multi-random response surface as a tool to solve the failure probability of the whole construction process, the complex integration can be avoided and the calculation efficiency can be improved. Thirdly, the quasi-global sensitivity analysis method and variance sensitivity analysis method are developed by combining random response surface with sensitivity analysis. The analysis shows that the calculation accuracy of the two methods depends on the random response surface, and the same order of parameter sensitivity can be obtained. The variance sensitivity analysis method can take into account the cross-action between construction parameters, and the quasi-global sensitivity analysis method is simple and practical because of its less computation. Finally, on the basis of determining the probability distribution of the main construction parameters, the reliability and sensitivity method based on random response surface is used to analyze the Lijiawa Bridge. The results show that the failure probability of deflection control increases with the cantilever elongation and decreases rapidly after closure. The sensitivity of construction parameters also changes significantly during the construction period, in which the sensitivity of prestressed beam tension control stress to the deflection and stress of the main beam decreases with the cantilever elongation, while the sensitivity of dead load increases. In addition, the compressive strength and elastic modulus of concrete have little effect on deflection.
【學位授予單位】:北京交通大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:U445.4
【參考文獻】
相關期刊論文 前10條
1 方圣恩;張秋虎;林友勤;張笑華;;不確定性參數靈敏度分析的隨機響應面法[J];動力學與控制學報;2015年05期
2 劉劍;王達;;基于響應面法的大跨徑斜拉橋靜力參數敏感性分析[J];公路交通科技;2015年08期
3 蔣正文;萬水;李淑琴;李明鴻;;基于混合模擬法的連續(xù)剛構橋靜力可靠度分析[J];橋梁建設;2015年03期
4 余曉琳;楊勇;賈布裕;顏全勝;;斜拉橋施工階段標高控制模糊隨機可靠度分析[J];橋梁建設;2014年05期
5 李典慶;蔣水華;周創(chuàng)兵;方國光;;考慮參數空間變異性的邊坡可靠度分析非侵入式隨機有限元法[J];巖土工程學報;2013年08期
6 楊綠峰;楊顯峰;余波;李朝陽;;基于逐步回歸分析的隨機響應面法[J];計算力學學報;2013年01期
7 蔣水華;李典慶;周創(chuàng)兵;;隨機響應面法最優(yōu)概率配點數目分析[J];計算力學學報;2012年03期
8 余波;楊顯峰;楊綠峰;;基于隨機響應面法和彈性模量縮減法的結構可靠度分析[J];華南理工大學學報(自然科學版);2012年04期
9 孫傳智;李愛群;繆長青;喬燕;;大跨混凝土剛構橋參數識別和標高控制動態(tài)可靠度評估[J];東南大學學報(自然科學版);2012年01期
10 李典慶;蔣水華;周創(chuàng)兵;;基于非侵入式隨機有限元法的地下洞室可靠度分析[J];巖土工程學報;2012年01期
相關博士學位論文 前5條
1 魏鵬飛;結構系統(tǒng)可靠性及靈敏度分析研究[D];西北工業(yè)大學;2015年
2 蔣水華;水電工程邊坡可靠度非侵入式隨機分析方法[D];武漢大學;2014年
3 阮欣;橋梁工程風險評估體系及關鍵問題研究[D];同濟大學;2006年
4 鞏春領;大跨度斜拉橋施工風險分析與對策研究[D];同濟大學;2006年
5 劉揚;混凝土斜拉橋施工期的時變可靠性研究[D];湖南大學;2005年
相關碩士學位論文 前2條
1 宋彥;基于隨機響應面法的結構整體可靠度與全局靈敏度分析[D];哈爾濱工業(yè)大學;2016年
2 馬炎青;基于隨機響應面法的框架核心筒結構整體抗震可靠度分析[D];哈爾濱工業(yè)大學;2015年
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