塔機(jī)材料常規(guī)缺陷的聲發(fā)射信號特性的實(shí)驗(yàn)分析
本文關(guān)鍵詞:塔機(jī)材料常規(guī)缺陷的聲發(fā)射信號特性的實(shí)驗(yàn)分析 出處:《東北大學(xué)》2012年碩士論文 論文類型:學(xué)位論文
更多相關(guān)文章: 塔式起重機(jī) 聲發(fā)射檢測 參數(shù)特征分析 譜分析
【摘要】:隨著建筑塔式起重機(jī)(塔機(jī))的廣泛應(yīng)用,國內(nèi)外每年都因起重作業(yè)造成大量的財(cái)產(chǎn)損失和人身傷亡事故。危險(xiǎn)源的在線定位與檢測是塔機(jī)安全評估與事故預(yù)防的關(guān)鍵。由于金屬構(gòu)件長時(shí)間承受交變載荷的作用,會(huì)在主要承受應(yīng)力集中區(qū),構(gòu)件變截面區(qū),焊縫與母材熔合線之間等部位產(chǎn)生疲勞裂紋,成為誘發(fā)重大安全事故的隱患。因此,針對上述缺陷的無損檢測研究具有重要的理論意義和工程價(jià)值。 聲發(fā)射技術(shù)具有效率高、檢驗(yàn)周期短、對活性缺陷敏感等優(yōu)點(diǎn),目前在壓力容器、航空航天等行業(yè)的檢測已取得了成功應(yīng)用。由于塔機(jī)工作現(xiàn)場聲發(fā)射信號獲取的復(fù)雜性和材料的聲發(fā)射源參數(shù)特性缺乏典型樣本,基于聲發(fā)射技術(shù)的塔機(jī)無損檢測研究目前還處于探索階段。本文利用SDAES數(shù)字聲發(fā)射檢測儀,針對塔機(jī)鋼材常規(guī)缺陷所制備的實(shí)驗(yàn)試件,進(jìn)行聲發(fā)射源的模式識(shí)別與信號參數(shù)特征提取,論文具體研究內(nèi)容如下: (1)通過資料分析,確定塔式起重機(jī)鋼結(jié)構(gòu)的常見缺陷形式,并根據(jù)這些缺陷形式人工制備了Q235母材、表面裂紋及焊接缺陷試件; (2)掌握聲發(fā)射儀器的使用方法及聲發(fā)射原理,以聲發(fā)射儀使用方式和聲發(fā)射原理為依據(jù),制定合理的實(shí)驗(yàn)方案及分析方法,同時(shí)用實(shí)驗(yàn)方法測量了聲發(fā)射信號在Q235材料的傳播速度; (3)進(jìn)行加載試驗(yàn),采集母材試件、表面裂紋和焊接缺陷試件在不同載荷下的聲發(fā)射信號,并實(shí)時(shí)監(jiān)測聲發(fā)射源的產(chǎn)生和變化; (4)再通過聲發(fā)射信號參數(shù)分析軟件對所采集的AE信號進(jìn)行定位特性分析,聲發(fā)射信號參數(shù)特性分析,聲發(fā)射信號頻譜特性分析,最后總結(jié)出Q235母材及帶有缺陷試件的典型聲發(fā)射信號主要特征參數(shù)的分布范圍樣本。
[Abstract]:With the construction of the tower crane (crane) is widely used at home and abroad every year because of the lifting operation caused a lot of damage to property and casualty accidents. The online detection and orientation of dangerous source is the key to prevention of tower crane safety assessment and accident. Because the metal components long time under alternating loads, the stress concentration area will in the main bearing, member of variable cross section area, the locations of fatigue crack between weld metal and base metal fusion line, has become a major safety accident induced risks. Therefore, the nondestructive detection of the defects has important theoretical significance and engineering value.
Acoustic emission testing technology has the advantages of high efficiency, short cycle, sensitive to the advantages of active defects present in pressure vessel detection, aerospace and other industries have been successfully applied. Due to the crane work site of acoustic emission signal complexity and material sources of acoustic emission parameters characteristics of lack of typical samples, nondestructive acoustic emission technology of tower crane study on detection is still in the exploratory stage. This paper uses the SDAES based on digital acoustic emission detector for tower crane steel prepared by conventional defect test sample, pattern recognition and signal feature parameters of acoustic emission source extraction, the specific contents are as follows:
(1) through data analysis, the common defect forms of steel structure of tower crane are determined. Based on these defects, Q235 base metal, surface crack and welding defect specimen are manufactured.
(2) grasp the use and acoustic emission principle of acoustic emission instrument. Based on the principle of acoustic emission and the principle of acoustic emission, a reasonable experiment plan and analysis method are worked out. Meanwhile, the propagation speed of acoustic emission signal in Q235 material is measured by experimental method.
(3) load test was carried out to collect acoustic emission signals of parent material, surface crack and welding defect specimen under different loads, and real-time monitor the production and change of acoustic emission source.
(4) by acoustic emission signal analysis software on the AE signal acquisition of the positioning characteristics analysis, analysis of the characteristics of AE signal parameters, analysis of frequency spectrum characteristics of acoustic emission signals, and finally summed up the Q235 base metal and with defect distribution range of typical acoustic emission signal of the main characteristic parameters of samples.
【學(xué)位授予單位】:東北大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2012
【分類號】:TH213.3;TG115.28
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 鄭崗;趙亮;;金屬厚度的脈沖渦流無損檢測研究[J];傳感器與微系統(tǒng);2006年04期
2 焦陽;楊慶新;劉時(shí)風(fēng);李光海;;考慮雙向振動(dòng)耦合效應(yīng)的聲發(fā)射傳感器的分析[J];傳感器與微系統(tǒng);2007年02期
3 戴光,李偉,張穎,沈桂英;基于人工神經(jīng)網(wǎng)絡(luò)方法識(shí)別聲發(fā)射信號的有效性[J];大慶石油學(xué)院學(xué)報(bào);2001年01期
4 陳建新;;塔式起重機(jī)現(xiàn)代故障檢測和保護(hù)技術(shù)[J];廣東科技;2007年01期
5 姚靜毅,毛漢領(lǐng),黃振峰,唐飛;聲發(fā)射參數(shù)提取新解決方案的初步探討[J];裝備制造技術(shù);2004年04期
6 李聯(lián)光;;塔式起重機(jī)疲勞裂紋的無損檢測[J];廣東建材;2006年10期
7 楊瑞峰;馬鐵華;;聲發(fā)射技術(shù)研究及應(yīng)用進(jìn)展[J];中北大學(xué)學(xué)報(bào)(自然科學(xué)版);2006年05期
8 劉衛(wèi)東;張薇;竇林名;;聲發(fā)射定位中時(shí)差計(jì)算研究[J];計(jì)算機(jī)工程與科學(xué);2009年04期
9 王恩元,何學(xué)秋,劉貞堂,李忠輝;煤體破裂聲發(fā)射的頻譜特征研究[J];煤炭學(xué)報(bào);2004年03期
10 吳占穩(wěn);沈功田;王少梅;潘春旭;;聲發(fā)射技術(shù)在起重機(jī)無損檢測中的現(xiàn)狀[J];起重運(yùn)輸機(jī)械;2007年10期
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