基于機器學(xué)習(xí)的螺栓連接接觸狀態(tài)實時預(yù)測

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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)。由于受到較強接觸非線性和過多耦合變量的影響，接觸應(yīng)力分布的實時預(yù)測依然是一個難題。借助機器學(xué)習(xí)的方法，將復(fù)雜的螺栓連接問題封裝在后臺運算里，最終呈現(xiàn)出一個簡單的能夠?qū)崟r預(yù)測接觸應(yīng)力分布的前臺操作。

關(guān)鍵詞：螺栓連接；接觸應(yīng)力；機器學(xué)習(xí)；實時預(yù)測

中圖分類號：TH131文獻標(biāo)志碼：A文章編號：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用，緊固件間的接觸情況一直是領(lǐng)域內(nèi)的熱點和難點。（剩余6730字）