基于改進曲率法和數(shù)據(jù)融合的結構損傷識別研究
[Abstract]:The service period of buildings is often for several decades, even more than a hundred years of large-scale complex engineering structures, such as super high-rise buildings, large water conservancy projects, super-large space structure and so on. Their safety provides a strong guarantee for the national economy and the social environment. However, external and structural internal factors often lead to the accumulation of structural damage and the attenuation of resistance. Therefore, it is very possible to cause catastrophic accidents in extreme circumstances, resulting in casualties and property losses. The internal damage of the building structure is generally invisible. In order to understand the health of the structure and ensure the normal use of the structure, it is necessary to identify the damage of the structure, determine the location of the damage, and even the degree of damage. Only then can provide the scientific basis for the safe use of the structure in the later stage. In this paper, the widely used simply supported beam structure and story shear frame structure are taken as the research objects. Based on the improved curvature method and the data fusion method to study the damage of the structure, a more accurate method to identify the damage of the structure is proposed. The main research contents are as follows: (1) an improved curvature method is proposed to solve the defect that the existing curvature method can not identify the damage of the front and tail elements of the structure. The results of structural damage identification show that the improved curvature method can accurately identify the damage of the first and the tail elements of the structure under the different damage conditions of the simply supported beam structure and the shear frame structure. (2) the sensitivity of static displacement difference curvature, modal mode curvature difference, modal flexibility difference curvature and data fusion of these three structural damage indexes to the damage identification of simply supported beam and frame structure is studied. The numerical simulation results show that the static displacement difference curvature, modal mode curvature difference, modal flexibility difference curvature, data fusion can effectively identify the damage of the structure, and the data fusion has a certain sensitivity, and after data fusion, the sensitivity is higher. (3) the curvature of two adjacent elements of the damage element is obviously prominent when the curvature of static displacement difference curvature, modal mode curvature difference and modal flexibility difference curvature are used to identify the damage of the structure, which will lead to the misjudgment of structural damage. (4) when the static displacement difference curvature is used to identify the damage of simply supported beam and frame structure, the damage location of the structure can be effectively identified under the condition of single damage, double damage and multiple damage. (5) the static displacement difference curvature, modal mode curvature difference and modal flexibility difference curvature of simply supported beam and frame structure are fused, and then the damage of the structure is identified. The damage index after data fusion can highlight the curvature of the damage element and reduce the interference of the non-damage element. (6) the damage degree identification of simple beam structure and frame structure under single damage condition is studied. The results show that the improved curvature method and data fusion method can identify the damage degree of the structure, and the damage degree of the structure can be identified more accurately by cubic curve fitting.
【學位授予單位】:海南大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TU317
【參考文獻】
相關期刊論文 前10條
1 吳海;鄧宇;盧鵬;;談基于結構動力響應的結構損傷檢測[J];山西建筑;2014年14期
2 許成祥;徐晶金;倪鐵權;;震后鋼管混凝土結構損傷識別現(xiàn)狀及展望[J];長江大學學報(自科版);2013年13期
3 李上明;路新瀛;;基于靜態(tài)位移的簡支橋梁損傷識別方法[J];甘肅科學學報;2011年02期
4 姜紹飛;胡春明;;基于模態(tài)指標與數(shù)據(jù)融合的鋼管混凝土拱橋損傷識別[J];振動與沖擊;2009年12期
5 姜紹飛;;結構健康監(jiān)測-智能信息處理及應用[J];工程力學;2009年S2期
6 劉濤;李愛群;繆長青;李枝軍;;基于數(shù)據(jù)融合的結構損傷識別方法研究[J];工程力學;2008年01期
7 王青;易成;王建強;;BP神經(jīng)網(wǎng)絡在懸臂柱損傷位置識別中的應用[J];低溫建筑技術;2006年04期
8 謝正義,陳云飛;有限元分析在磁頭懸架動態(tài)特性研究中的應用[J];機械制造與自動化;2005年05期
9 萬小朋,李小聰,鮑凱,趙美英;利用振型變化進行結構損傷診斷的研究[J];航空學報;2003年05期
10 崔飛,袁萬城,史家鈞;基于靜態(tài)應變及位移測量的結構損傷識別法[J];同濟大學學報(自然科學版);2000年01期
相關博士學位論文 前3條
1 尚鑫;基于動力測試的橋梁損傷識別研究[D];長安大學;2014年
2 唐盛華;混凝土橋梁結構損傷識別試驗研究[D];湖南大學;2013年
3 汪梅;基于小波和神經(jīng)網(wǎng)絡的電纜故障診斷方法研究[D];西安科技大學;2006年
相關碩士學位論文 前10條
1 滕亮;橋梁結構損傷識別指標比選及損傷程度識別方法研究[D];吉林大學;2014年
2 唐少玉;基于系統(tǒng)最小實現(xiàn)的結構損傷識別研究[D];蘭州理工大學;2014年
3 李彥俊;基于擬靜力荷載試驗響應的橋梁損傷識別方法研究[D];重慶交通大學;2012年
4 呂淼;空間鋼結構損傷識別研究[D];西安建筑科技大學;2010年
5 呂全金;混凝土連續(xù)梁橋損傷識別模型試驗研究[D];西南交通大學;2009年
6 賈寶印;框架結構損傷識別研究[D];昆明理工大學;2008年
7 姜愛玲;黃河勝利大橋的損傷識別研究[D];大連理工大學;2006年
8 張楊;基于自振頻率的梁損傷定位動力檢測理論與試驗研究[D];同濟大學;2006年
9 黃帶好;基于動力參數(shù)的剪切型結構損傷識別[D];重慶大學;2005年
10 鄧苗毅;基于靜載試驗的梁橋結構損傷系統(tǒng)識別研究[D];鄭州大學;2003年
,本文編號:2151532
本文鏈接:http://www.sikaile.net/jingjilunwen/jianzhujingjilunwen/2151532.html