Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Gilmar Ferreira Pereira is active.

Publication


Featured researches published by Gilmar Ferreira Pereira.


Philosophical Transactions of the Royal Society A | 2015

Damage tolerance and structural monitoring for wind turbine blades.

Malcolm McGugan; Gilmar Ferreira Pereira; Bent F. Sørensen; Helmuth Langmaack Toftegaard; Kim Branner

The paper proposes a methodology for reliable design and maintenance of wind turbine rotor blades using a condition monitoring approach and a damage tolerance index coupling the material and structure. By improving the understanding of material properties that control damage propagation it will be possible to combine damage tolerant structural design, monitoring systems, inspection techniques and modelling to manage the life cycle of the structures. This will allow an efficient operation of the wind turbine in terms of load alleviation, limited maintenance and repair leading to a more effective exploitation of offshore wind.


PLOS ONE | 2015

Crack Detection in Fibre Reinforced Plastic Structures Using Embedded Fibre Bragg Grating Sensors: Theory, Model Development and Experimental Validation

Gilmar Ferreira Pereira; Lars Pilgaard Mikkelsen; Malcolm McGugan

In a fibre-reinforced polymer (FRP) structure designed using the emerging damage tolerance and structural health monitoring philosophy, sensors and models that describe crack propagation will enable a structure to operate despite the presence of damage by fully exploiting the material’s mechanical properties. When applying this concept to different structures, sensor systems and damage types, a combination of damage mechanics, monitoring technology, and modelling is required. The primary objective of this article is to demonstrate such a combination. This article is divided in three main topics: the damage mechanism (delamination of FRP), the structural health monitoring technology (fibre Bragg gratings to detect delamination), and the finite element method model of the structure that incorporates these concepts into a final and integrated damage-monitoring concept. A novel method for assessing a crack growth/damage event in fibre-reinforced polymer or structural adhesive-bonded structures using embedded fibre Bragg grating (FBG) sensors is presented by combining conventional measured parameters, such as wavelength shift, with parameters associated with measurement errors, typically ignored by the end-user. Conjointly, a novel model for sensor output prediction (virtual sensor) was developed using this FBG sensor crack monitoring concept and implemented in a finite element method code. The monitoring method was demonstrated and validated using glass fibre double cantilever beam specimens instrumented with an array of FBG sensors embedded in the material and tested using an experimental fracture procedure. The digital image correlation technique was used to validate the model prediction by correlating the specific sensor response caused by the crack with the developed model.


11th International Conference on Damage Assessment of Structures (DAMAS 2015) | 2015

Embedded Fibre Bragg Grating Sensor Response Model: Crack Growing Detection in Fibre Reinforced Plastic Materials

Gilmar Ferreira Pereira; Lars Pilgaard Mikkelsen; Malcolm McGugan

This article presents a novel method to simulate the sensor output response of a Fibre Bragg Grating (FBG) sensor when embedded in a host material (Composite material or adhesive), during a crack growing/damage event. A finite element model of the crack growth mechanisms was developed, and different fracture modes were addressed. Then an output algorithm was developed to predict the sensor spectrum change during the different stages of the crack growing. Thus, it is possible to identify specific phenomenon that will only happen within the proximity of a crack, as compression field ahead the crack or non-uniform strain, and then identify the presence of such damage in the structure. Experimental tests were conducted in order to validate this concept and support the model. The FBG sensor response model was applied in a delamination of a Wind Turbine trailing edge, to demonstrate the applicability of this technique to more complicated structures, and to be used as a structural health monitoring design tool.


Archive | 2016

Fibre Bragg Grating as a Multi-Stage Structure Health Monitoring Sensor

Gilmar Ferreira Pereira

There is a clear need to implement models and measurement systems through the entire life of the wind turbine blade. In this chapter will be presented some work conducted to implement optical fibres as a multi-stage sensor, capable to measure different structural properties, and link them with all the different life stages and support a better design of the wind turbine blades. The characteristics and functionality of fibre Bragg grating sensors are briefly introduced. Their application as multi-stage structure health monitoring sensors for polymer laminate composite is then described. At the manufacturing stage, where the sensors can measure several parameters of infusion and curing, sensor feedback can help control the process, avoid residual strain, and contribute to the product certification; and then in operation where cracks can be detected and monitored. Experimental mechanical testing involving crack growth and fibre Bragg sensing is described that highlights the response from the fibre optic which will correctly detect the presence and growth of damage. Models to implement these results in a damage detection system for a wind turbine blade can then be developed.


Archive | 2016

Fibre Bragg Grating Sensor Signal Post-processing Algorithm: Crack Growth Monitoring in Fibre Reinforced Plastic Structures

Gilmar Ferreira Pereira; Lars Pilgaard Mikkelsen; Malcolm McGugan

A novel method to assess a crack growing/damage event in fibre reinforced plastic, using conventional single mode Fibre Bragg Grating sensors embedded in the host material is presented in this article. Three different damage mechanisms that can change the sensor output, longitudinal strain \( \varepsilon_{xx} \), transversal stress \( \sigma_{yy,zz} \), and non-uniform strain \( \varepsilon_{xx} (xx) \), were identified. These damage mechanisms were identified during the experimental testing and linked with the sensor output using a digital image correlation technique. A dedicated algorithm to extract information from the reflected spectrum that enables crack detection was developed. Double Cantilever Beams specimens made with glass fibre and bonded with structural adhesive, were instrumented with a Fibre Bragg Grating array embedded in the host material, and tested using an experimental fracture procedure. This method was successfully validated in three different loading conditions, where were obtained very promising results that enable crack growth monitoring.


international conference on photonics optics and laser technology | 2015

Crack growth monitoring by embedded optical Fibre Bragg Grating sensors: Fibre reinforced plastic crack growing detection

Gilmar Ferreira Pereira; Lars Pilgaard Mikkelsen; Malcolm McGugan

This article presents a novel method to assess a crack growing/damage event in fibre reinforced plastic, or adhesive using Fibre Bragg Grating (FBG) sensors embedded in a host material. Different features of the crack mechanism that induce a change in the FBG response were identified. Double Cantilever Beams specimens made with glass fibre glued with structural adhesive, were instrumented with an array of FBG sensors embedded in the material and tested using an experimental fracture procedure. A digital image correlation technique was used to determine the presence of the specific phenomena caused by the crack, and to correlate with the FBG sensor. A Material-Sensor model was developed in order to predict the sensor output response under a crack/delamination situation, which can be used as an analysis tool for future application of this measurement technology in more complex structures.


ASME 2013 Pressure Vessels and Piping Conference | 2013

Applicability of Optical Fiber Bragg Grating Sensors in the Structural Health Monitoring of Composite Overwrapped Pressure Vessels

Gilmar Ferreira Pereira; Joana Figueiredo; Hugo Faria; A. Torres Marques

Composite overwrapped pressure vessels (COPV) have been increasingly pointed to as the most effective solution for high pressure storage of liquid and gaseous fluids. Reasonably high stiffness-to-weight ratios make them suitable for both static and mobile applications. However, higher operating pressures are sought continuously, to get higher energy densities in such storage systems, and safety aspects become critical. Thus, reliable design and test procedures are required to reduce the risks of undesired and unpredicted failures. An in-service health monitoring system may contribute to a better product development, design and optimization, as well as to minimize the risks and improve the public acceptance.Within the scope of developing different COPV models for a wide range of operating pressures and applications, optical fiber Bragg grating (FBG) sensors were embedded in the liner-composite and composite-composite interfaces during their manufacture in order to allow the online strain monitoring during preliminary testing and service-life. The ability of these measuring systems to effectively assess the strain fields was to be investigated. Simultaneously, a finite element analysis (FEA) was made using the ABAQUS® platform. In this numerical analysis, accurate and realistic simulation of the different materials, geometry and loading conditions was approached. Particularly, the anisotropic nature of the wound laminate and the varying orientation of the fibers were attained. However, the cohesive zones were not attributed independent properties.Comparison between experimental and numerical data was addressed. In general, although the experimental-numerical data agreement was not as good as desired, a preliminary insight to both the structural health monitoring (SHM) system and the numerical modeling approaches was actually achieved. Full characterization and validation shall be further addressed in the continuation of the present work.The first set of results and difficulties on the development and implementation of this SHM system to COPV are presented and discussed in this paper.Copyright


Polymer Testing | 2013

On the improvement of strain measurements with FBG sensors embedded in unidirectional composites

Gilmar Ferreira Pereira; C. Frias; Hugo Faria; O. Frazão; A.T. Marques


Polymer Testing | 2016

Method for independent strain and temperature measurement in polymeric tensile test specimen using embedded FBG sensors

Gilmar Ferreira Pereira; Malcolm McGugan; Lars Pilgaard Mikkelsen


Polymer Testing | 2013

Study of strain-transfer of FBG sensors embedded in unidirectional composites

Gilmar Ferreira Pereira; C. Frias; Hugo Faria; O. Frazão; A.T. Marques

Collaboration


Dive into the Gilmar Ferreira Pereira's collaboration.

Top Co-Authors

Avatar

Malcolm McGugan

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar

Lars Pilgaard Mikkelsen

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar

Bent F. Sørensen

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar

Hugo Faria

National Institute of Statistics and Geography

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Kim Branner

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar

C. Frias

National Institute of Statistics and Geography

View shared research outputs
Top Co-Authors

Avatar

A.T. Marques

Faculdade de Engenharia da Universidade do Porto

View shared research outputs
Top Co-Authors

Avatar

Kristine Munk Jespersen

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar

Joana Figueiredo

National Institute of Statistics and Geography

View shared research outputs
Researchain Logo
Decentralizing Knowledge