scholarly journals Ultimate shear behaviour of hybrid reinforced concrete beam-to-steel column assemblages

2015 ◽  
Vol 101 ◽  
pp. 318-336 ◽  
Author(s):  
D.V. Bompa ◽  
A.Y. Elghazouli
Keyword(s):  
Reinforced Concrete ◽  
Concrete Beam ◽  
Reinforced Concrete Beam ◽  
Shear Behaviour ◽  
Steel Column

scholarly journals Effects of drying shrinkage of concrete on shear behaviour of reinforced concrete beam

◽  
2019 ◽  
Author(s):  
Hikotsugu Hyodo ◽  
◽  
Ryoichi Sato ◽  
Kenji Kawai ◽  
Ken-ichiro Nakarai ◽  
...  
Keyword(s):  
Reinforced Concrete ◽  
Concrete Beam ◽  
Drying Shrinkage ◽  
Reinforced Concrete Beam ◽  
Shear Behaviour

On-Site Determination of the Polarization Resistance in a Reinforced Concrete Beam

CORROSION ◽  
1988 ◽  
Vol 44 (10) ◽  
pp. 761-765 ◽  
Author(s):  
S. Feliu ◽  
J. A. Gonzalez ◽  
C. Andrade ◽  
V. Feliu
Keyword(s):  
Reinforced Concrete ◽  
Polarization Resistance ◽  
Concrete Beam ◽  
Reinforced Concrete Beam

Analysis of reinforced concrete beam with small fibre

2020 ◽  
Author(s):  
Pavlina Mateckova ◽  
Zuzana Marcalikova ◽  
David Bujdoš ◽  
Marie Kozielova
Keyword(s):  
Reinforced Concrete ◽  
Concrete Beam ◽  
Reinforced Concrete Beam ◽  
Small Fibre

Evaluation of Severely Damaged Reinforced Concrete Beam Repaired with Epoxy Injection using Acoustic Emission Technique

2021 ◽  
pp. 102890
Author(s):  
Soffian Noor Mat Saliah ◽  
Noorsuhada Md Nor ◽  
Noorhazlinda Abd Rahman ◽  
Shahrum Abdullah ◽  
Mohd Subri Tahir
Keyword(s):  
Acoustic Emission ◽  
Reinforced Concrete ◽  
Concrete Beam ◽  
Reinforced Concrete Beam ◽  
Acoustic Emission Technique

scholarly journals Toward Structural Health Monitoring of Civil Structures Based on Self-Sensing Concrete Nanocomposites: A Validation in a Reinforced-Concrete Beam

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Diego L. Castañeda-Saldarriaga ◽  
Joham Alvarez-Montoya ◽  
Vladimir Martínez-Tejada ◽  
Julián Sierra-Pérez
Keyword(s):  
Reinforced Concrete ◽  
Damage Detection ◽  
Direct Current ◽  
Health Monitoring ◽  
Electrical Resistance ◽  
Concrete Beam ◽  
Reinforced Concrete Beam ◽  
Structural Member ◽  
Rc Beam ◽  
Electric Resistance

AbstractSelf-sensing concrete materials, also known as smart concretes, are emerging as a promising technological development for the construction industry, where novel materials with the capability of providing information about the structural integrity while operating as a structural material are required. Despite progress in the field, there are issues related to the integration of these composites in full-scale structural members that need to be addressed before broad practical implementations. This article reports the manufacturing and multipurpose experimental characterization of a cement-based matrix (CBM) composite with carbon nanotube (CNT) inclusions and its integration inside a representative structural member. Methodologies based on current–voltage (I–V) curves, direct current (DC), and biphasic direct current (BDC) were used to study and characterize the electric resistance of the CNT/CBM composite. Their self-sensing behavior was studied using a compression test, while electric resistance measures were taken. To evaluate the damage detection capability, a CNT/CBM parallelepiped was embedded into a reinforced-concrete beam (RC beam) and tested under three-point bending. Principal finding includes the validation of the material’s piezoresistivity behavior and its suitability to be used as strain sensor. Also, test results showed that manufactured composites exhibit an Ohmic response. The embedded CNT/CBM material exhibited a dominant linear proportionality between electrical resistance values, load magnitude, and strain changes into the RC beam. Finally, a change in the global stiffness (associated with a damage occurrence on the beam) was successfully self-sensed using the manufactured sensor by means of the variation in the electrical resistance. These results demonstrate the potential of CNT/CBM composites to be used in real-world structural health monitoring (SHM) applications for damage detection by identifying changes in stiffness of the monitored structural member.

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