Optimisation of Sensor and Sensor Node Positions for Shape Sensing with a Wireless Sensor Network—A Case Study Using the Modal Method and a Physics-Informed Neural Network [PDF]
SensorsData of operational conditions of structural components, acquired, e.g., in structural health monitoring (SHM), is of great interest to optimise products from one generation to the next, for example, by adapting them to occurring operational loads.
Sören Meyer zu Westerhausen +3 more
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Shape Sensing of Cantilever Column Using Hybrid Frenet–Serret Homogeneous Transformation Matrix Method [PDF]
SensorsThe Frenet–Serret (FS) framework stands as a pivotal tool in shape sensing for various infrastructures. However, this tool suffers from accumulative errors, particularly at inflection points where the normal vector undergoes sign changes. To minimize the
Peng Zhang +3 more
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Two-node Curved Inverse Finite Element Formulations based on Exact Strain-displacement Solution [PDF]
Journal 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
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Deep learning-based approach for high spatial resolution fibre shape sensing [PDF]
Communications EngineeringFiber optic shape sensing is an innovative technology that has enabled remarkable advances in various navigation and tracking applications. Although the state-of-the-art fiber optic shape sensing mechanisms can provide sub-millimeter spatial resolution ...
Samaneh Manavi Roodsari +6 more
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Sensors, 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
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Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method
Sensors, 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
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Robotic Materials Transformable Between Elasticity and Plasticity
Advanced 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
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Arc-based sensing in narrow groove pipe welding [PDF]
, 2006 Big gains in productivity are found in tandem and dual tandem pipeline welding but require highly skilled operators who have to control the position of the torch very accurately for long periods. This leads to high demands on the skills and stamina of
Gil Teixeira Lopes, Agostinho
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Distributed Fiber Optic Shape Sensing of Concrete Structures
Sensors, 2021 Civil structural health monitoring (CSHM) has become significantly more important within the last decades due to rapidly growing construction volume worldwide as well as aging infrastructure and longer service lifetimes of the structures. The utilization
Christoph M. Monsberger, Werner Lienhart
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Full-Field Strain Reconstruction Using Uniaxial Strain Measurements: Application to Damage Detection
Applied 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
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