Abstract
Ageing of materials and extreme events tend to damage structures, and ancient historical monuments are particularly vulnerable due to their age and long-term exposure to adverse events and influences. As an example, the wall paintings (frescoes) from the seventeenth century BCE found at the archaeological site of Akrotiri (Santorini, Greece) were recovered from volcanic ash in fragments with dimensions ranging from a few centimeters to a few decimeters. Identification of the fracturing patterns is helpful to the process of piecing together the fragments of frescos. Previous work has involved looking at fracturing patterns in frescos that have been reassembled. Recent work has looked at the process by which fractures develop. Current identification techniques involve experimental study of fracture development on plaster molds using a high-speed camera combined with sophisticated algorithms for pattern recognition. However, the use of a high-speed camera is challenging due to very demanding data processing and analysis and some inaccuracies in identification of fracture initialization generated by light conditions. This paper aims to evaluate whether or not short-gauge fiber optic sensors (FOS) based on Fiber Brag-Gratings (FBG), can be used to help identify the fracturing patterns of falling frescoes as a complement to high-speed cameras. In total four tests were performed using surface and embedded sensors on various plaster molds. The data taken by sensors installed on the surface of the mold were more complex to analyze and interpret than the data taken by embedded sensors, since the former reflected combined influence from fracture and bending. While their practicality is challenged by cost, moderately dense arrays of embedded FOS are found to be a plausible complement to the high speed-camera in the experiments.
| Original language | English (US) |
|---|---|
| Title of host publication | Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015 |
| Editors | Hoon Sohn, Kon-Well Wang, Jerome P. Lynch |
| Publisher | SPIE |
| ISBN (Electronic) | 9781628415384 |
| DOIs | |
| State | Published - Jan 1 2015 |
| Event | Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015 - San Diego, United States Duration: Mar 9 2015 → Mar 12 2015 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 9435 |
Other
| Other | Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015 |
|---|---|
| Country | United States |
| City | San Diego |
| Period | 3/9/15 → 3/12/15 |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Applied Mathematics
- Electrical and Electronic Engineering
- Computer Science Applications
Cite this
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Evaluation of the use of fiber optic sensors in identification of fresco fracturing patterns. / Glisic, Branko; Sigurdardottir, Dorotea; Dobkin, David Paul.
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015. ed. / Hoon Sohn; Kon-Well Wang; Jerome P. Lynch. SPIE, 2015. 943521 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9435).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Evaluation of the use of fiber optic sensors in identification of fresco fracturing patterns
AU - Glisic, Branko
AU - Sigurdardottir, Dorotea
AU - Dobkin, David Paul
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Ageing of materials and extreme events tend to damage structures, and ancient historical monuments are particularly vulnerable due to their age and long-term exposure to adverse events and influences. As an example, the wall paintings (frescoes) from the seventeenth century BCE found at the archaeological site of Akrotiri (Santorini, Greece) were recovered from volcanic ash in fragments with dimensions ranging from a few centimeters to a few decimeters. Identification of the fracturing patterns is helpful to the process of piecing together the fragments of frescos. Previous work has involved looking at fracturing patterns in frescos that have been reassembled. Recent work has looked at the process by which fractures develop. Current identification techniques involve experimental study of fracture development on plaster molds using a high-speed camera combined with sophisticated algorithms for pattern recognition. However, the use of a high-speed camera is challenging due to very demanding data processing and analysis and some inaccuracies in identification of fracture initialization generated by light conditions. This paper aims to evaluate whether or not short-gauge fiber optic sensors (FOS) based on Fiber Brag-Gratings (FBG), can be used to help identify the fracturing patterns of falling frescoes as a complement to high-speed cameras. In total four tests were performed using surface and embedded sensors on various plaster molds. The data taken by sensors installed on the surface of the mold were more complex to analyze and interpret than the data taken by embedded sensors, since the former reflected combined influence from fracture and bending. While their practicality is challenged by cost, moderately dense arrays of embedded FOS are found to be a plausible complement to the high speed-camera in the experiments.
AB - Ageing of materials and extreme events tend to damage structures, and ancient historical monuments are particularly vulnerable due to their age and long-term exposure to adverse events and influences. As an example, the wall paintings (frescoes) from the seventeenth century BCE found at the archaeological site of Akrotiri (Santorini, Greece) were recovered from volcanic ash in fragments with dimensions ranging from a few centimeters to a few decimeters. Identification of the fracturing patterns is helpful to the process of piecing together the fragments of frescos. Previous work has involved looking at fracturing patterns in frescos that have been reassembled. Recent work has looked at the process by which fractures develop. Current identification techniques involve experimental study of fracture development on plaster molds using a high-speed camera combined with sophisticated algorithms for pattern recognition. However, the use of a high-speed camera is challenging due to very demanding data processing and analysis and some inaccuracies in identification of fracture initialization generated by light conditions. This paper aims to evaluate whether or not short-gauge fiber optic sensors (FOS) based on Fiber Brag-Gratings (FBG), can be used to help identify the fracturing patterns of falling frescoes as a complement to high-speed cameras. In total four tests were performed using surface and embedded sensors on various plaster molds. The data taken by sensors installed on the surface of the mold were more complex to analyze and interpret than the data taken by embedded sensors, since the former reflected combined influence from fracture and bending. While their practicality is challenged by cost, moderately dense arrays of embedded FOS are found to be a plausible complement to the high speed-camera in the experiments.
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UR - http://www.scopus.com/inward/citedby.url?scp=84943377666&partnerID=8YFLogxK
U2 - https://doi.org/10.1117/12.2087198
DO - https://doi.org/10.1117/12.2087198
M3 - Conference contribution
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015
A2 - Sohn, Hoon
A2 - Wang, Kon-Well
A2 - Lynch, Jerome P.
PB - SPIE
ER -