Dynamic sensitivity-based finite element model updating for nonlinear structures using time-domain responses
To obtain the numerical model for predicting the nonlinear dynamic responses with high
accuracy, a dynamic sensitivity-based model updating approach by using the time-domain …
accuracy, a dynamic sensitivity-based model updating approach by using the time-domain …
Bayesian model selection in nonlinear subspace identification
In nonlinear system identification, one of the main challenges is how to select a nonlinear
model. The accuracy of nonlinear subspace identification depends on the accuracy of the …
model. The accuracy of nonlinear subspace identification depends on the accuracy of the …
Context-aware offloading for edge-assisted on-device video analytics through online learning approach
Edge computing has emerged as a powerful technology for enhancing the performance of
on-device video analytics, which is critical to support real-time applications. Nevertheless …
on-device video analytics, which is critical to support real-time applications. Nevertheless …
Deep learning video analytics through online learning based edge computing
Video analytics demand intensive computation resources, which means long processing
delay when running on mobile devices. Although offloading computation to the cloud can …
delay when running on mobile devices. Although offloading computation to the cloud can …
Automatic modal identification based on similarity filtering and fuzzy clustering
D Jiang, Y Wang, J Hu, H Qian… - Journal of Vibration and …, 2024 - journals.sagepub.com
Artificially determining the model order is necessary for time domain modal identification,
which affects the identification efficiency and accuracy. An automatic identification method is …
which affects the identification efficiency and accuracy. An automatic identification method is …
Full-field modal identification using reliability-guided frequency-domain-based digital image correlation method based on multi-camera system
R Zhu, D Jiang, Z Huang, L **_Parameters_Using_a_Hybrid_Approach/links/6131c4150360302a007661e0/Identification-of-Nonlinear-Stiffness-and-Dam**-Parameters-Using-a-Hybrid-Approach.pdf" data-clk="hl=ja&sa=T&oi=gga&ct=gga&cd=6&d=5276502615068864649&ei=79CwZ4mNJo_B6rQPrNOHuAc" data-clk-atid="iXCZGyznOUkJ" target="_blank">[PDF] researchgate.net
Identification of nonlinear stiffness and dam** parameters using a hybrid approach
Robustly identifying nonlinear mechanical systems is generally a challenging task, and this
is particularly true when the structure under test exhibits nonlinear behaviors related to both …
is particularly true when the structure under test exhibits nonlinear behaviors related to both …
Frequency modulation analysis of solar array using genetic algorithm
R Zhu, D Jiang - Proceedings of the Institution of Mechanical …, 2023 - journals.sagepub.com
In this paper, the optimal placement of prestress (OPP) is investigated for solar array
frequency modulation using the genetic algorithm (GA). The purpose of OPP is to improve …
frequency modulation using the genetic algorithm (GA). The purpose of OPP is to improve …
Automatic nonlinear subspace identification using clustering judgment based on similarity filtering
Accurately determining system order plays a vital role in system identification directly related
to the accuracy of identification results, especially for nonlinear system identification. Due to …
to the accuracy of identification results, especially for nonlinear system identification. Due to …
Modal identification of ultralow-frequency flexible structures based on digital image correlation method
Traditional modal testing has difficulty accurately identifying the ultralow-frequency modes of
flexible structures. Ultralow-frequency excitation and vibration signal acquisition are two …
flexible structures. Ultralow-frequency excitation and vibration signal acquisition are two …