Shear Behaviors of RC Beams Externally Strengthened with Engineered Cementitious Composite Layers.
ECC
FBG sensor
shear
strengthening effect
truss and arch model
Journal
Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929
Informations de publication
Date de publication:
05 Jul 2019
05 Jul 2019
Historique:
received:
16
06
2019
revised:
03
07
2019
accepted:
04
07
2019
entrez:
10
7
2019
pubmed:
10
7
2019
medline:
10
7
2019
Statut:
epublish
Résumé
The shear behaviors of reinforced concrete (RC) beams externally strengthened with engineered cementitious composite (ECC) layers were studied and the strengthening effect was evaluated based on a truss and arch model. The beams were designed without web reinforcement in the middle part and ECC was sprayed onto both sides of the beams to the designed thicknesses, which were 20 mm and 40 mm. A series of four-point bending experiments were conducted and analyzed. The development of the shear strain in each side of the beams was recorded by strain rosettes formed with three fiber Bragg grating (FBG) sensors. The thickness of ECC layers, reinforcement ratios, and shear span-to-depth ratios were considered and analyzed. This is an effective way to shear strengthen RC beams with ECC layers. The ultimate load of the strengthened specimen can be improved by 89% over the control specimen. Strengthening an RC beam into an under-reinforced beam should be avoided. The FBG sensors are suitable to measure and monitor the development of shear strain in the side of the strengthened specimen. Based on the truss and arch model, an evaluation of the shear strengthening effect was established and the results agree well with the experimental results.
Identifiants
pubmed: 31284446
pii: ma12132163
doi: 10.3390/ma12132163
pmc: PMC6651697
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : China Scholarship Council
ID : 201606090065
Organisme : Priority Academic Program Development of Jiangsu Higher Education Institutions
ID : 1105007002
Organisme : Innovative Venture Technology Investment Project of Hunan Province
ID : 2018GK5028
Organisme : Key R&D Program of Hunan Province
ID : 2018WK2111
Références
Sensors (Basel). 2019 Feb 05;19(3):null
pubmed: 30764573