Gabriel LaPlante

Prof. Gabriel LaPlante

orcid

Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 April 2008 in Journal of Applied Polymer Science
Verified
Journal Article
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GLGabriel LaPlante
Gabriel LaPlante
AOAlexei V. Ouriadov
Alexei V. Ouriadov
PLPearl Lee‐Sullivan
Pearl Lee‐Sullivan
BBBruce J. Balcom
Bruce J. Balcom

16 January 2013 in Structural Health Monitoring
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Journal Article
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ISIan Silversides
Ian Silversides
AMAhmed Maslouhi
Ahmed Maslouhi
GLGabriel LaPlante
Gabriel LaPlante
This article presents the development of an experimental methodology based on acoustic emission wave detection for determining delamination onset and propagation in carbon fibre composite materials under quasi-static and fatigue loading. Delamination was investigated in quasi-static interlaminar fracture testing over a wide range of mixed-mode ratios ( GII/ GT = 0, 0.3, 0.5 and 1) for unidirectional and woven samples. An acoustic emission wave detection method was developed to detect delamination onset, and the corresponding fracture toughness was computed. Interlaminar fracture toughness was also calculated by beam theory and from finite element analysis with the virtual crack closure technique. The mechanical testing results, acoustic emission monitoring and numerical model’s interlaminar fracture toughness were used to define delamination initiation criteria by drawing two-dimensional envelopes corresponding to GC = f( GII/ GT). The acoustic emission wave detection method showed damage accumulation before observable crack propagation, and its failure envelope corresponded to lower fracture energies than the standard test and modelling methods. Mode I fatigue testing with acoustic emission monitoring was performed on the woven samples for different energy release rate ratios ( GIMAX/ GIC = 0.3–0.8). A first series of samples were tested to construct an onset delamination fatigue curve Δ G = f( N). A second series of samples were used to study the cumulative acoustic emission energy distribution during delamination growth. An unsupervised pattern recognition methodology is presented for crack opening and closing testing, in order to discriminate between fatigue signal noise and acoustic emission signals emitted from crack initiation and crack growth. Correlations were observed between the acoustic emission energy distribution, the load range, the delamination length and the crack growth rate.

19 January 2005 in Journal of Applied Polymer Science
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Journal Article
Closed access
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GLGabriel LaPlante
Gabriel LaPlante
PLPearl Lee‐Sullivan
Pearl Lee‐Sullivan

1 March 2012 in Composites Part A: Applied Science and Manufacturing
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Journal Article
Closed access
BLBenoit Landry
Benoit Landry
GLGabriel LaPlante
Gabriel LaPlante
LLLuc R. LeBlanc
Luc R. LeBlanc

1 March 2012 in Composites Part B: Engineering
Verified
Journal Article
Closed access
BLBenoit Landry
Benoit Landry
GLGabriel LaPlante
Gabriel LaPlante

1 February 2016 in Composites Part A: Applied Science and Manufacturing
Verified
Journal Article
Closed access
LLLuc R. LeBlanc
Luc R. LeBlanc
GLGabriel LaPlante
Gabriel LaPlante