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Leveraging Polymer-water Interactions for Damage Detection in Polymer Composites.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Leveraging Polymer-water Interactions for Damage Detection in Polymer Composites./
作者:	Idolor, Ogheneovo.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	143 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Contained By:	Dissertations Abstracts International83-05B.
標題:	Metals. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28747794
ISBN:	9798494445988

Leveraging Polymer-water Interactions for Damage Detection in Polymer Composites.
Idolor, Ogheneovo.

Leveraging Polymer-water Interactions for Damage Detection in Polymer Composites. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 143 p.

Source: Dissertations Abstracts International, Volume: 83-05, Section: B.

Thesis (Ph.D.)--North Carolina State University, 2021.

This item must not be sold to any third party vendors.

Polymer composite materials are increasingly being adopted across civil infrastructure, oil & gas, marine, automotive, and aerospace industries. Achieving ubiquitous adoption would require new advances in development of non-destructive examination techniques which are cost effective, simple to utilize, and sensitive enough to ascertain the structural integrity of composite parts, especially in the absence of visible damage. A common characteristic of these materials is their tendency to absorb measurable moisture in nearly all operating environments. This absorbed moisture either becomes bound to the polymer network via secondary bonding interactions or exists as free water with negligible interactions. Damage creates fractures and new internal free volume where water molecules can exist in the latter state. Thus, this dissertation proposes a novel basis for nondestructive examination in polymer composites which leverages this locally-higher concentration of free water in damaged areas. Polymer-water interactions-determining the free or bound state of water-are characterized by near-infrared spectroscopy and microwave-range dielectric properties. Effects of humidity or precipitation-driven fluctuations in moisture content on water state distributions is also investigated. An effective algorithm for detection of localized damage via analysis of polymer-water interactions is developed based on a logistic regression machine learning approach. Results show a direct correlation between the extent of local damage and higher relative levels of free water at damage sites. Studies on the effects of paint and coatings indicate some loss in damage sensitivity, which can be improved by exposure to higher level of moisture contamination. They also indicate variation in moisture content has a significant effect on the water state distributions in damaged polymer composites, leading to discovery of damagedependent hysteresis as a highly sensitive and reliable basis for damage detection.

ISBN: 9798494445988Subjects--Topical Terms:

601053
Metals.

Leveraging Polymer-water Interactions for Damage Detection in Polymer Composites.
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