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Two-node Curved Inverse Finite Element Formulations based on ‎Exact Strain-displacement Solution [PDF]

open access: yesJournal of Applied and Computational Mechanics, 2023
The inverse finite element method (iFEM) is an efficient algorithm developed for real-time monitoring of structures equipped by a network of strain sensors.
Pierclaudio Savino, Francesco Tondolo
doaj   +1 more source

Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers

open access: yesIEEE Photonics Journal, 2021
In distributed shape sensing, the shape reconstruction error is more and more sensitive to the strain measuring error along with curvature radius of reconstructed shape increasing, which causes a notable challenge for large curvature radius shape ...
Zeen Chen   +9 more
doaj   +1 more source

Full-Field Strain Reconstruction Using Uniaxial Strain Measurements: Application to Damage Detection

open access: yesApplied Sciences, 2021
This work investigates the inverse problem of reconstructing the continuous displacement field of a structure using a spatially distributed set of discrete uniaxial strain data. The proposed technique is based on the inverse Finite Element Method (iFEM),
Rinto Roy   +3 more
doaj   +1 more source

Shape sensing of optical fiber Bragg gratings based on deep learning

open access: yesMachine Learning: Science and Technology, 2023
Continuum robots in robot-assisted minimally invasive surgeries provide adequate access to target anatomies that are not directly reachable through small incisions.
Samaneh Manavi Roodsari   +6 more
doaj   +1 more source

Strip-Type Embeddable Shape Sensor Based on Fiber Optics for In Situ Composite Consolidation Monitoring

open access: yesSensors, 2022
Carbon fibers and resin used in manufacturing carbon fiber-reinforced plastic composite structures flow before the resin solidifies, resulting in disrupted fiber orientation and non-uniform thickness. This process, known as consolidation, is critical for
Shu Minakuchi, Shoma Niwa, Nobuo Takeda
doaj   +1 more source

Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method

open access: yesSensors, 2023
The inverse Finite Element Method (iFEM) has recently gained much popularity within the Structural Health Monitoring (SHM) field since, given sparse strain measurements, it reconstructs the displacement field of any beam or shell structure independently ...
Dario Poloni   +3 more
doaj   +1 more source

Organ curvature sensing using pneumatically attachable flexible rails in robotic-assisted laparoscopic surgery

open access: yesFrontiers in Robotics and AI, 2023
In robotic-assisted partial nephrectomy, surgeons remove a part of a kidney often due to the presence of a mass. A drop-in ultrasound probe paired to a surgical robot is deployed to execute multiple swipes over the kidney surface to localise the mass and
A. McDonald-Bowyer   +6 more
doaj   +1 more source

Robotic Materials Transformable Between Elasticity and Plasticity

open access: yesAdvanced Science, 2023
Robotic materials, with coupled sensing, actuation, computation, and communication, have attracted increasing attention because they are able to not only tune their conventional passive mechanical property via geometrical transformation or material phase
Xinyuan Wang   +2 more
doaj   +1 more source

Application of Inverse Finite Element Method to Shape Sensing of Curved Beams

open access: yesSensors, 2020
Curved beam, plate, and shell finite elements are commonly used in the finite element modeling of a wide range of civil and mechanical engineering structures.
Pierclaudio Savino   +3 more
doaj   +1 more source

Controlling the dynamic percolation of carbon nanotube based conductive polymer composites by addition of secondary nanofillers: The effect on electrical conductivity and tuneable sensing behaviour [PDF]

open access: yes, 2013
In this paper, the electrical properties of ternary nanocomposites based on thermoplastic polyurethane (TPU) and multi-walled carbon nanotubes (MWCNTs) are studied.
Alig   +60 more
core   +6 more sources

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