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.
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