Results 71 to 80 of about 349 (133)

A multiscale preconditioner for crack evolution in porous microstructures: Accelerating phase‐field methods

International Journal for Numerical Methods in Engineering, Volume 125, Issue 11, 15 June 2024.
Abstract Phase‐field methods are attractive for simulating the mechanical failure of geometrically complex porous microstructures described by 2D/3D x‐ray μ$$ \mu $$CT images in subsurface (e.g., CO 2$$ {}_2 $$ storage) and manufacturing (e.g., Li‐ion battery) applications.
Kangan Li, Yashar Mehmani
wiley   +1 more source

Structural deformation reconstruction using the hybrid shell-beam inverse Finite Element Method: theory & numerical results

, 2023
This work introduces a robust and computationally efficient method for reconstructing the full-field elastic deformations of thin-walled and stiffened panel structures using discrete strain-sensor measurements.
Roy R., Esposito M., Gherlone M., Surace C.   +3 more
core  

The Application Research of Inverse Finite Element Method for Frame Deformation Estimation

International Journal of Aerospace Engineering, 2017
A frame deformation estimation algorithm is investigated for the purpose of real-time control and health monitoring of flexible lightweight aerospace structures.
Yong Zhao, Hong Bao, Xuechao Duan, Hongmei Fang   +3 more
doaj   +1 more source

Shape sensing of 3D frame structures using an inverse Finite Element Method

, 2012
A robust and efficient computational method for reconstructing the elastodynamic structural response of truss, beam, and frame structures, using measured surface-strain data, is presented.
Mattone, Massimiliano Corrado, Tessler, Alexander, Gherlone, Marco, Mattone, Massimiliano, Cerracchio, Priscilla, Tessler, A., Di Sciuva, Marco, Tessler A.   +7 more
core   +1 more source

Reconstruction of Multi-Load Strain Field of Ship Stiffened Plate Based on iFEM and Analysis of Influencing Factors of Reconstruction Accuracy

Journal of Marine Science and Engineering
This study utilizes the inverse finite element method (iFEM) to investigate the strain field reconstruction of ship stiffened plates under multiple loading conditions.
Guocai Chen, Xueliang Wang, Quanhua Zhu, Huawei Yang, Zhentao Jiang, Hao Xu, Mengdan Sun, Wei Chen, Haozheng Chen, Tao Zhang, Zheng Zhang   +10 more
doaj   +1 more source

Structural health monitoring of marine structures by using inverse finite element method [PDF]

, 2015
A new state-of-the art methodology named as inverse Finite Element Method (iFEM) is adopted to solve the inverse problem of real-time reconstruction of full-field structural displacements, strains, and stresses.
Kefal, A., Oterkus, E.
core  

A two-dimensional inverse crack tip element for shape sensing and structural health monitoring [PDF]

, 2023
inverse Finite Element Method (iFEM) is a powerful tool for shape sensing and structural health monitoring of marine structures and has several advantages with respect to some other existing approaches.
Oterkus, Selda, Oterkus, Erkan, Li, Mingyang   +2 more
core  

Real-Time Monitoring of the Position and Orientation of a Radio Telescope Sub-Reflector with Fiber Bragg Grating Sensors

Sensors, 2019
Environmental loads linked with pointing errors, such as gravity, thermal gradients, and wind disturbances, are a serious concern for large-aperture high-frequency radio telescopes.
Yong Zhao, Jingli Du, Qian Xu, Hong Bao
doaj   +1 more source

Beam shape sensing using inverse Finite Element Method: theory and experimental validation

, 2011
An inverse Finite Element Method (iFEM) is presented for beam and frame structures. The method is aimed at reconstructing the complete displacement field starting from in situ measurements of surface strains.
Mattone, Massimiliano Corrado, Gherlone, Marco, Cerracchio, Priscilla, Tessler, A., Di Sciuva, Marco, Tessler A.   +5 more
core  

A preliminary investigation of the inverse Finite Element Method applied to bridge structures

Monitoring bridge deflections poses significant challenges due to the impracticality of establishing a stable reference point for displacement sensors.
Poloni D., Taylor T., Morgese M., Wang C., Giglio M., Sbarufatti C., Ansari F.   +6 more
core   +1 more source