TY - GEN
T1 - Local and global approaches for damage detection in composite structures by fiber optic sensors
AU - Güemes, Alfredo
AU - Fernández-López, Antonio
AU - Díaz-Maroto, Patricia F.
AU - Lozano, Ángel
AU - Sierra-Perez, Julián
N1 - Funding Information:
This work was partially supported by the Spanish Ministry and competitiveness (grant number TRA2014-58263-C2-2-R)
PY - 2017
Y1 - 2017
N2 - Fiber optic sensors cannot measure damage directly; for getting information about damage from strain measurements, additional strategies are needed, and several alternatives have been proposed. This paper discuss two different concepts: the first one is based on detecting the new strains appearing around a damage spot; the structure does not need to be under loads; the technique is very robust, damage detectability is high, but it requires sensors to be located very close to the damage, so it is a local technique. The second approach offers a wider coverage of the structure; it is based on identifying the changes caused by the damage on the global strains field in the whole structure for similar external loads. Damage may happen anywhere in the structure, detectability is dependent upon the sensors network density, damage size and the external loads. Examples of application to real structures are given.
AB - Fiber optic sensors cannot measure damage directly; for getting information about damage from strain measurements, additional strategies are needed, and several alternatives have been proposed. This paper discuss two different concepts: the first one is based on detecting the new strains appearing around a damage spot; the structure does not need to be under loads; the technique is very robust, damage detectability is high, but it requires sensors to be located very close to the damage, so it is a local technique. The second approach offers a wider coverage of the structure; it is based on identifying the changes caused by the damage on the global strains field in the whole structure for similar external loads. Damage may happen anywhere in the structure, detectability is dependent upon the sensors network density, damage size and the external loads. Examples of application to real structures are given.
UR - http://www.scopus.com/inward/record.url?scp=85032434665&partnerID=8YFLogxK
M3 - Ponencia publicada en las memorias del evento con ISBN
AN - SCOPUS:85032434665
T3 - Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
SP - 1477
EP - 1487
BT - Structural Health Monitoring 2017
A2 - Chang, Fu-Kuo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications
T2 - 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
Y2 - 12 September 2017 through 14 September 2017
ER -