Comparing damage from low-velocity impact and quasi-static indentation in automotive carbon/epoxy and glass/polyamide-6 laminates-Reference-Cited by-同舟云学术

Comparing damage from low-velocity impact and quasi-static indentation in automotive carbon/epoxy and glass/polyamide-6 laminates

Published:2018-02 Issue: Volume:65 Page:231-241
ISSN:0142-9418
Container-title:Polymer Testing
language:en
Short-container-title:Polymer Testing

Author:

Spronk S.W.F.,Kersemans M.,De Baerdemaeker J.C.A.,Gilabert F.A.,Sevenois R.D.B.,Garoz D.,Kassapoglou C.,Van Paepegem W.

Funder

SIM

VLAIO

Bijzonder OnderzoeksFonds

Publisher

Elsevier BV

Subject

Polymers and Plastics,Organic Chemistry

Reference23 articles.

1. Damage propagation in CFRP laminates subjected to low velocity impact and static indentation;Aoki;Adv. Compos. Mater.,2007

2. Standard Test Method for Measuring the Damage Resistance of a Fiber-reinforced Polymer-matrix Composite to a Concentrated Quasi-static Indentation Force;ASTM International ASTM standard D6264,2012

3. Strain rate effects on the mechanical properties of polymer composite materials;Jacob;J. Appl. Polym. Sci.,2004

4. Influence of the laminate thickness in low velocity impact behavior of composite material plate;Belingardi;Compos. Struct.,2003

5. Comparative ultrasonic analysis of damage in CFRP under static indentation and low-velocity impact;Kaczmarek;Compos. Sci. Technol.,1994

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of metaheuristics to evaluate energy absorption and damage tolerance in GFRP-epoxy nanocomposite laminates;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-08-01

2. A damage localization technique using wave front shapes in composite laminates without knowing the velocity profile;Ultrasonics;2024-08

3. Experimental Investigation of Quasi-Static and Dynamic Impact Resistance in Thin Wood Veneer Laminates;Forests;2024-04-12

5. Classifying Tensile Loading History of Continuous Carbon Fiber Composites Using X‐Ray Scattering and Machine Learning;Advanced Engineering Materials;2023-11-28