Evidence map›Paper›PMID 35156335›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring.

Ho Geun Shin, Suman Timilsina, Kee-Sun Sohn, Ji Sik Kim

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Sound, Force and Light Induced Emissions from ErAdvanced materials (Deerfield Beach, Fla.) · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Achieving Tunable Mechanoluminescence in CaZnOS:TbNanomaterials (Basel, Switzerland) · 2024
    Article
  10. Article
  11. iScience · 2023
    Article
  12. Review
  13. Biosafety evaluation of BaSiFrontiers in bioengineering and biotechnology · 2023
    Article
  14. Article
  15. Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Ho Geun ShinDepartment of Advanced Science and Technology Convergence, Kyungpook National University, 2559, Gyeongsang-daero, Sangju-si, Gyeongsangbuk-do, 37224, Republic of Korea.
Suman TimilsinaSchool of Nano & Advanced Materials Engineering, Kyungpook National University, 2559, Gyeongsang-daero, Sangju-si, Gyeongsangbuk-do, 37224, Republic of Korea.ORCID 0000-0003-3362-9369
Kee-Sun SohnNanotechnology & Advanced Materials Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul, 143-747, South Korea.
Ji Sik KimSchool of Nano & Advanced Materials Engineering, Kyungpook National University, 2559, Gyeongsang-daero, Sangju-si, Gyeongsangbuk-do, 37224, Republic of Korea.
Gyeongsang National University · KRKyungpook National University · KRSejong University · KR

Funding

BK21 FOUR 5199990214511Korea government 2015M3D1A1069719Korea government 2021R1A2C1005732National Research Foundation of Korea
6 · The paper itself

Abstract

Monitoring structural health using mechanoluminescent (ML) effects is widely considered as a potential full-field and direct visualizing optical method with high spatial and temporal resolution and simple setup in a noncontact manner. The challenges and uncertainties in the mapping of ML field to effective strain field, however, tend to limit significant commercial ML applications for structural health monitoring systems. Here, however, quantification problems are resolved using the digital image correlation (DIC) method. Specifically, an image containing mechanically induced photon information is processed using a DIC algorithm to measure the strain field components, which enables the establishment of a calibration curve when the ML field is mapped onto the effective strain field using pixel level information. The results show a linear relationship between effective strain and ML intensity despite the plastic flow in ML skin. Furthermore, the calibration curve allows for easy conversion of ML field to effective-strain field at the crack-tip plastic zone of the alloy structure, retaining its spatial resolution. The compatibility of ML skin with the DIC algorithm not only enables the quantification of the ML effects of several organic/inorganic ML materials, but may also be useful in elucidating the fundamentals of the trap-controlled mechanism.

Indexed as

AlgorithmsSkinFingersPlasticsPlasticscrack-tip HRR fieldmechanoluminescent (ML) quantificationmechanoluminescent skinstructural health monitoringtrap-controlled mechanism

Identifiers

PMID35156335
PMCPMC9008412
OpenAlexW4212812744

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.