Video Processing Techniques for the Contactless Investigation of Large Oscillations
The experimental acquisition of large vibrations presents various technical difficulties. Especially in the case of geometric nonlinearities, dealing with very flexible, very light structures causes minimal variations in mass or stiffness to affect severely the dynamical response. Thus, sensors' added masses change the behaviour of the structure with respect to the unloaded condition.
A Computer Vision-Based Approach for Non-contact Modal Analysis and Finite Element Model Updating
A generalised power-law formulation for the modelling of damping and stiffness nonlinearities
Performance of Sensor Placement Strategies Used in System Identification Based on Modal Expansion
Modal expansion techniques are typically used to expand the experimental modal displacements at t...he sensor positions to other unmeasured degrees of freedom. Since in
most cases the sensors can be attached only at limited locations in a structure, an expansion is essential to assess the condition of substructures such as tanks and pipelines
Measurement of weak non-linear response of Kevlar® fibre damaged by UV exposure
This paper deals with a high-sensitivity method for the assessment of damage in high-strength fibres exposed to UV radiation. A recently developed experimental testing machine, based on an optical measurement system and electro-magnetic driving force, was used to characterize fibre materials. Stiffness, damping, and non-linearity were measured on several Kevlar® fibre samples previously exposed to UV light for different lengths of time. The results show that UV radiation increases the material non-linearity by amounts which can be clearly observed even at low vibration amplitudes.
An optimal sensor placement strategy for reliable expansion of mode shapes under measurement noise and modelling error
Modal expansion techniques are typically used to expand the experimental modal displacements at sensor positions to all unmeasured degrees of freedom. Since in most cases, sensors can be attached only at limited locations in a structure, an expansion is essential to determine mode shapes, strains, stresses, etc. throughout the structure which can be used for structural health monitoring.
A multi‐objective genetic algorithm strategy for robust optimal sensor placement
The performance of a monitoring system for civil buildings and infrastructures or mechanical systems depends mainly on the position of the deployed sensors. At the current state, this arrangement is chosen through optimal sensor placement (OSP) techniques that consider only the initial conditions of the structure. The effects of the potential damage are usually completely neglected during its design.
Using Video Processing for the Full-Field Identification of Backbone Curves in Case of Large Vibrations
Nonlinear modal analysis is a demanding yet imperative task to rigorously address real-life situations where the dynamics involved clearly exceed the limits of linear approximation. The specific case of geometric nonlinearities, where the effects induced by the second and higher-order terms in the strain–displacement relationship cannot be neglected, is of great significance for structural engineering in most of its fields of application—aerospace, civil construction, mechanical systems, and so on.
An experimental study of the feasibility of phase-based video magnification for damage detection and localisation in operational deflection shapes
Optical measurements from high‐speed, high‐definition video recordings can be used to define the full‐field dynamics of a structure. By comparing the dynamic responses resulting from both damaged and undamaged elements, structural health monitoring can be carried out, similarly as with mounted transducers. Unlike the physical sensors, which provide point‐wise measurements and a limited number of output channels, high‐quality video recording allows very spatially dense information. Moreover, video acquisition is a noncontact technique.