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Yao Yao

Researcher at Princeton University

Publications -  19
Citations -  567

Yao Yao is an academic researcher from Princeton University. The author has contributed to research in topics: Structural health monitoring & Pipeline transport. The author has an hindex of 9, co-authored 18 publications receiving 474 citations.

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Crack detection and characterization techniques - An overview

TL;DR: In this paper, the authors summarize the knowledge about cracking and its sources, review both existing and emerging methods for crack detection and characterization, and identify the advantages and challenges for these methods.
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Fiber optic method for health assessment of pipelines subjected to earthquake-induced ground movement:

TL;DR: Natural disasters, in particular earthquakes, can cause damage to pipelines with disastrous humanitarian, social, economic, and ecologic consequences as mentioned in this paper, thus, real-time, automatic, or on-demand asses...
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Detection of steel fatigue cracks with strain sensing sheets based on large area electronics.

TL;DR: The results of the tests have validated the general principles of the proposed sensing sheets for crack detection and identified advantages and challenges of the two tested designs.
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Sensing sheet: the sensitivity of thin-film full-bridge strain sensors for crack detection and characterization

TL;DR: In this article, the authors investigated the sensitivity of thin-film full-bridge resistive sensors to concrete cracks by conducting laboratory experiments in temperature-controlled settings and showed a distribution of near-linear relationships with an average sensitivity of 31 μe μm −1.
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Damage detection and characterization using long-gauge and distributed fiber optic sensors

TL;DR: The presented approaches were proven to be suitable for damage detection and characterization, i.e., damage localization and, to certain extent, quantification and are illustrated by two applications presented in detail in this paper.