基于機(jī)器學(xué)習(xí)的螺栓連接接觸狀態(tài)實(shí)時(shí)預(yù)測(cè)

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摘要：螺栓連接系統(tǒng)界面間的接觸狀態(tài)是衡量其工作狀態(tài)和密封性能的重要指標(biāo)。由于受到較強(qiáng)接觸非線性和過多耦合變量的影響，接觸應(yīng)力分布的實(shí)時(shí)預(yù)測(cè)依然是一個(gè)難題。借助機(jī)器學(xué)習(xí)的方法，將復(fù)雜的螺栓連接問題封裝在后臺(tái)運(yùn)算里，最終呈現(xiàn)出一個(gè)簡(jiǎn)單的能夠?qū)崟r(shí)預(yù)測(cè)接觸應(yīng)力分布的前臺(tái)操作。

關(guān)鍵詞：螺栓連接；接觸應(yīng)力；機(jī)器學(xué)習(xí)；實(shí)時(shí)預(yù)測(cè)

中圖分類號(hào)：TH131文獻(xiàn)標(biāo)志碼：A文章編號(hào)：1671-5276（2024）06-0032-05

Abstract：The contact status of bolted joint between system interfaces is an important indicator measuring its working condition and sealing performance， the real-time prediction of contact stress distribution， however， remains a challenge due to the effects from strong contact nonlinearity and exceeding coupling variables. This article， with the help of machine learning technique， presents a simple front operation window capable of predicting the contact stress distribution in real-time by packaging the complicated bolted joints into background computational process.

Keywords：bolted joints; contact stress; machine learning; real-time prediction

0引言

螺栓作為工業(yè)裝備中常見的連接單元被大量運(yùn)用，緊固件間的接觸情況一直是領(lǐng)域內(nèi)的熱點(diǎn)和難點(diǎn)。（剩余6730字）