【摘要】：深化對(duì)金屬疲勞損傷過(guò)程中聲發(fā)射信號(hào)的特征認(rèn)識(shí),是運(yùn)用聲發(fā)射信號(hào)對(duì)金屬結(jié)構(gòu)損傷過(guò)程進(jìn)行監(jiān)測(cè)預(yù)測(cè)的重要基礎(chǔ)熱點(diǎn)問(wèn)題。針對(duì)金屬疲勞損傷經(jīng)歷裂紋萌生階段、裂紋緩慢擴(kuò)展階段、裂紋快速擴(kuò)展階段、臨近破壞等四個(gè)階段產(chǎn)生大量的聲發(fā)射信號(hào),采用K熵和關(guān)聯(lián)維數(shù)等混沌特征量來(lái)分析海量的聲發(fā)射信號(hào);通過(guò)對(duì)45號(hào)鋼試件進(jìn)行三點(diǎn)彎曲疲勞試驗(yàn)、測(cè)試得到試件疲勞損傷過(guò)程的聲發(fā)射信號(hào),分別估算不同時(shí)間段所產(chǎn)生聲發(fā)射信號(hào)的K熵和關(guān)聯(lián)維數(shù),分析結(jié)果表明金屬疲勞損傷過(guò)程的聲發(fā)射信號(hào)具有混沌特征,其K熵和關(guān)聯(lián)維數(shù)的變化趨勢(shì)與金屬疲勞損傷過(guò)程的四個(gè)階段具有較清晰的對(duì)應(yīng)關(guān)聯(lián),表明K熵和關(guān)聯(lián)維數(shù)可以較好的揭示金屬疲勞損傷過(guò)程的動(dòng)力學(xué)特性,這將為運(yùn)用聲發(fā)射信號(hào)實(shí)現(xiàn)金屬結(jié)構(gòu)疲勞損傷在線(xiàn)監(jiān)測(cè)及預(yù)測(cè)提供了一種新思路。
[Abstract]:Deepening the understanding of the characteristics of acoustic emission signals in the process of metal fatigue damage is an important basic hot issue in monitoring and predicting the damage process of metal structures by using acoustic emission signals. A large number of acoustic emission signals are generated in four stages of metal fatigue damage: crack initiation stage, slow crack propagation stage, fast crack propagation stage and near failure stage. K entropy and correlation dimension are used to analyze a large number of acoustic emission signals. Through three-point bending fatigue test of 45 steel specimen, the acoustic emission signal of fatigue damage process of 45 steel specimen is obtained, and the K entropy and correlation dimension of acoustic emission signal produced in different time periods are estimated respectively. The analysis results show that the acoustic emission signal of metal fatigue damage process has chaotic characteristics, and the variation trend of K entropy and correlation dimension has a clear correlation with the four stages of metal fatigue damage process. It is shown that K entropy and correlation dimension can reveal the dynamic characteristics of metal fatigue damage process, which will provide a new idea for on-line monitoring and prediction of metal structure fatigue damage by using acoustic emission signal.
【作者單位】： 廣西大學(xué)機(jī)械工程學(xué)院;廣西科技大學(xué)汽車(chē)與交通學(xué)院;長(zhǎng)沙理工大學(xué)工程車(chē)輛安全性設(shè)計(jì)與可靠性技術(shù)湖南省重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(51365006;51445013;51105045) 廣西制造系統(tǒng)與先進(jìn)制造技術(shù)重點(diǎn)實(shí)驗(yàn)室課題(14-045-15S05)
【分類(lèi)號(hào)】：TG115.57

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