Results 151 to 160 of about 824 (173)
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IFEMS: a new approach for monitoring wildfire evolution with NOAA-AVHRR imagery
International Journal of Remote Sensing, 2001A new approach for monitoring wildfire evolution was developed. It was achieved by integrating both the burned area mapping system and the fire detection system. Multi-spectral multi-temporal images of the National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA-AVHRR) were employed. The new system has an excellent
K. R. Al-Rawi, J. L. Casanova, A. Romo
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On a staggered iFEM approach to account for friction in compression testing of soft materials
Journal of the Mechanical Behavior of Biomedical Materials, 2013An inverse finite element method (iFEM) to estimate material parameters from compression tests of soft materials is presented, where alginate hydrogel was used as a phantom material. The method applies if the boundary conditions at the loaded surfaces are not ideal, i.e.
Markus, Böl +2 more
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A novel shape sensing approach based on the coupling of Modal Virtual Sensor Expansion and iFEM: Numerical and experimental assessment on composite stiffened structures [PDF]
Computers and StructuresShape sensing, i.e. the reconstruction of the displacement field of a structure from discrete strain measurements, is becoming crucial for the development of a modern Structural Health Monitoring framework. Nevertheless, an obstacle to the affirmation of
Marco Esposito
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Multi-Plate Joint Modelling for GFEM and IFEM
Volume 5: Structures, Structural Dynamics & MaterialsAbstract Present day engineering, especially that of modern airplane structures, requires that we join several structural components using fasteners to serve the engineered purpose. Design and analysis of such fastener joints become challenging with increase in number of stacking plates.
Partha Dey, Athreya Raveesha
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iFEM Implementation on a Rotating Shaft for Imbalance Identification
Proceedings of the 15th International Workshop on Structural Health MonitoringStructural Health Monitoring (SHM) is crucial for ensuring the safety and reliability of rotating machinery. In rotating shafts, structural damage can affect force distribution and alter dynamic behavior. This study conducts a preliminary numerical investigation into the application of the inverse Finite Element Method (iFEM) for rotor monitoring ...
EMANUELE PETRICONI +3 more
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A Novel Modal Strain Method for Damage Detection in SHM Based on FBG and iFEM
Structural Health Monitoring 2015, 2015Damage detection is the key content of structural health monitoring. The current damage indices based on strain have two premises: complete measured modes, modal parameters before and after damage. It is very difficult to get the two contents in practical engineering.
HAIFENG YANG, ZIYAN WU, PENG SUN
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Application of 1D iFEM to an Experimental Beam Model with Degrading Boundary Conditions
Proceedings of the 15th International Workshop on Structural Health MonitoringThe inverse Finite Element Method (iFEM) is a robust computational technique that utilizes a network of strain sensors to reconstruct full-field displacement on beam or shell structures. Importantly, the method is independent of specific loading conditions and material properties, making it particularly suitable for real-time structural monitoring and ...
JACOPO BARDIANI +3 more
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IFEM method for distributed monitoring of cable forces in cable-stayed bridges
Structural Health MonitoringThe method proposed in this article pertains to developing a technique for structural health monitoring of cable-stayed bridges based on the inverse finite element method (iFEM). This approach is built on distributed monitoring of strains by using a Brillouin scattering-based distributed optical fiber sensor. Using this method, both the deflections and
Dario Poloni +6 more
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Improving iFEM-based wing deformation reconstruction accuracy with IMU-assisted calibration
Measurement Science and TechnologyAbstract To address the degradation in reconstruction accuracy of inverse finite element methods (iFEMs) for wing deformation—caused by discrepancies between the simulation model and the physical system, including model simplifications, mismatched loading conditions, and strain sensor installation errors—as well as the high cost and ...
Huichao Chu +4 more
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