汇报时间：2023年7月7日(星期五) 下午14:00

汇报地点：创新港 2号巨构 2-4-152会议室

汇报人：刘清华

国际会议信息

会议名称：The Third International Nonlinear Dynamics Conference (NODYCON 2023)

会议时间：June 18-22, 2023

会议地点：The Faculty of Civil and Industrial Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.

会议简介：The Third International Nonlinear Dynamics Conference (NODYCON 2023) will be held in Rome, June 18-22, 2023. The previous NODYCON conference was hosted in 2021 as a virtual online conference to promote the sense of cohesiveness and liveliness of the NODYCON community notwithstanding the uncertainties related to the COVID-19 crisis. After the successful launch of NODYCON in Rome in 2019, NODYCON 2023 will be held in Rome again as an in-person meeting but online attendance will also be arranged. The 2023 Edition will feature several keynotes of broad interest, round tables, workshops, and oral presentations covering recent advances in the rich spectrum of topics covered by NONLINEAR DYNAMICS, including new frontiers and challenges. The full-length papers will be published by Springer Nature within the fully indexed new Book series called Advances in Nonlinear Dynamics.

参会论文信息

Title: Physics-informed sparse identification of a bistable nonlinear energy sink

Author: Qinghua Liu, Junyi Cao.

Abstract: Bistable nonlinear energy sinks have attracted extensive attention due to their efficient broad-band targeted energy transfer over a wide range of input energy levels. The precise identification of local bistability is of significance to predicting and controlling the system performance of vibration energy harvesting and absorptions. This paper proposed a new physics-informed sparse identification method for parameter estimation of a three-degree-of-freedom bistable nonlinear energy sink. The restoring force surface is constructed on the local bistable structure and the nonlinear elastic force trajectory is intercepted by assuming two quasi-zero velocity planes. Furthermore, the candidate functions of nonlinear elastic force can be physically informed in the sparse identification algorithm. Numerical simulation shows that the proposed method not only gives sparse identification physics information but also improves the accuracy by 1.61% under the noise level of 30 dB. Experimental verification is performed on a three-story beam-type bistable energy sink. The result shows that the identified nonlinear elastic force has a good agreement with the measured one and the NMSE is only 0.97%.

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