Results 41 to 50 of about 122,744 (306)
Transfer Learning Based Method for Frequency Response Model Updating with Insufficient Data
Finite element model updating precision depends heavily on sufficient vibration feature extraction. However, adequate amount of sample collection is generally time-consuming in frequency response (FR) model updating. Accurate vibration feature extraction
Zhongmin Deng, Xinjie Zhang, Yanlin Zhao
doaj +1 more source
Finite element model updating [PDF]
This thesis focuses on engineering, specifically structural, systems that are approximated by finite element models (FEMs). Initial FEMs are found to have poor accuracies and improved or updated models are sort.
Mthembu, Linda Simo
core
Finite Element Model Updating Using Bayesian Approach
7 pages ...
Marwala, Tshilidzi +2 more
openaire +2 more sources
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Structural dynamic updating using a global optimization methodology [PDF]
In this article, we present the application of a global optimization technique, in particular the GlobalSearch command from MatLab®, in the updating of structural dynamic models. For comparative purposes, we evaluate the efficiency of the global method
Dourado, Marco Daniel Malheiro +2 more
core +1 more source
Finite Element Model Updating of Reinforced Concrete Beams with Honeycomb Damage
Honeycombing is one of the common damage that can occur in concrete structures. Literature and studies on this phenomenon are, however, limited. The objective of this study was to propose a method of detecting honeycombing damage in a reinforced concrete
Ismail Z.
doaj +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Thermal performance enhancement of a heat exchanger using metal chain as a novel turbulator [PDF]
Enhancing heat transfer in a heat exchanger system is critical to many industrial applications. There are many problems that require in-depth studies to find solutions.
Ghitheeth, Ali Hussein
core
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
A global optimization approach applied to structural dynamic updating [PDF]
In this paper, the application of stochastic global optimization tech- niques, in particular the GlobalSearch and MultiStart solvers from MatLab®, to improve the updating of a structural dynamic model, are presented.
A. Teughels +16 more
core +1 more source

