Advanced condition-based self-monitoring of composites damaged area under multiple impacts using Monte Carlo based prognostics-Reference-Cited by-同舟云学术

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Advanced condition-based self-monitoring of composites damaged area under multiple impacts using Monte Carlo based prognostics

Published:2023-06 Issue: Volume:123 Page:108024
ISSN:0142-9418
Container-title:Polymer Testing
language:en
Short-container-title:Polymer Testing

Author:

Lee In Yong,Roh Hyung Doh,Oh So Young,Park Young-Bin

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Polymers and Plastics,Organic Chemistry

Reference44 articles.

1. The strain performance of thin CFRP-SPCC hybrid laminates for automobile structures;Muflikhun;Compos. Struct.,2019

2. Supportability of composite airframes: civilian and military aspects;Kupczyk;Compos. Struct.,1988

3. Structural design and analysis of large wind turbine blade;Bae;Mod. Phys. Lett. B,2019

4. Reliable packaging of optical fiber Bragg grating sensors for carbon fiber composite wind turbine blades;Zhu;Compos. Sci. Technol.,2021

5. Experimental study to assess the effect of carbon nanotube addition on the through-thickness electrical conductivity of CFRP laminates for aircraft applications;Lin;Compos. B Eng.,2015

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1. Investigating Hamiltonian Monte Carlo for Real-time Network Traffic Prediction;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

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