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Inventi Impact: Civil Structures

Articles

  • Inventi:ecst/33173/20
    Research on Semiactive Control of Civil Engineering Structure Based on Neural Network
    Research 2021 : January - March
    Longji Jian, Feifei Song, Yuansong Huang

    In order to improve the strength of civil engineering structure, a semiactive control model of civil engineering structure based on\nneural network is proposed, and the control constraint parameter model of semiactive regulation of civil engineering structure is\nconstructed. Combined with the controlled object model, the semiactive control model of civil engineering structure is designed,\nthe mechanical analysis model of civil engineering structure is established, and the semiactive regulation of civil engineering\nstructure is carried out by the small disturbance suppression method. The semiactive adjustment of civil engineering structure is\ncarried out by using the structural strength fusion tracking method. Taking the internal strength and shock yield response of\ncivil engineering structure as constraint parameters, the semiactive control of civil engineering structure is carried out and PID\nneural network is used to optimize the control system. The simulation results show that the semiactive control of civil\nengineering structure with this method has good stability, and the strength and yield response strength of civil engineering\nstructure are improved, and it has good control efficiency.

    How to Cite this Article
    Attribution/ CC Compliant Citation:Jian, Longji, Feifei Song, and Yuansong Huang. \"Research on Semiactive Control of Civil Engineering\nStructure Based on Neural Network.\" Wireless Communications and Mobile Computing 2020 (2020).\nApplied Sciences 10.12 (2020): 4298.\nhttps://doi.org/10.1155/2020/8842031\nhttp://creativecommons.org/licenses/by/4.0/\nSome formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
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