Damage assessment of prestressed concrete containment vessels behaviour under blast induced fire loading

2020 ◽  
pp. 1-26
Author(s):  
Seung-Jai Choi ◽  
Ji-Hun Choi ◽  
Tae-Hee Lee ◽  
Jang-Ho Jay Kim
Keyword(s):  
Prestressed Concrete ◽  
Damage Assessment ◽  
Fire Loading

Failure behavior of unbonded bi-directional prestressed concrete panels under RABT fire loading

2015 ◽  
Vol 71 ◽  
pp. 123-133 ◽  
Author(s):  
Na-Hyun Yi ◽  
Seung-Jai Choi ◽  
Sang-Won Lee ◽  
Jang-Ho Jay Kim
Keyword(s):  
Prestressed Concrete ◽  
Failure Behavior ◽  
Concrete Panels ◽  
Fire Loading

Damage Assessment of One Prestressed Concrete Bridge after Fire

2012 ◽  
Vol 256-259 ◽  
pp. 2729-2734 ◽  
Author(s):  
Kai Xiang ◽  
Guo Hui Wang ◽  
Hua Xin Liu
Keyword(s):  
Prestressed Concrete ◽  
Damage Assessment ◽  
Assessment Method ◽  
Concrete Bridges ◽  
Concrete Bridge ◽  
Hollow Core ◽  
Plate Girders ◽  
Prestressed Concrete Bridges ◽  
Prestressed Concrete Bridge ◽  
Historical Sketch

The assessment method of fire-damaged concrete bridge with prestressed hollow core plate girders was presented in this paper. The historical sketch of assessment of fire-damaged concrete structures was briefly introduced. One fire-damaged concrete bridge with prestressed hollow core plate girders was shown as an example. The process of assessment of fire-damaged concrete bridge with prestressed hollow core plate girders was provided. According to the assessment results, methods of repair and strengthening were presented for different fire-damaged level of prestressed hollow core plate girders. The research results could help expand use of fire-damaged assessment and repair of prestressed concrete bridges.

scholarly journals A New Procedure for Damage Assessment of Prestressed Concrete Beams Using Artificial Neural Network

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
K. Sumangala ◽  
C. Antony Jeyasehar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Prestressed Concrete ◽  
Damage Assessment ◽  
Concrete Beams ◽  
Assessment Procedure ◽  
Dynamic Tests ◽  
Static And Dynamic Tests ◽  
Artificial Neural ◽  
Trained Network

A damage assessment procedure has been developed using artificial neural network (ANN) for prestressed concrete beams. The methodology had been formulated using the results obtained from an experimental study conducted in the laboratory. Prestressed concrete (PSC) rectangular beams were cast, and pitting corrosion was introduced in the prestressing wires and was allowed to be snapped using accelerated corrosion process. Both static and dynamic tests were conducted to study the behaviour of perfect and damaged beams. The measured output from both static and dynamic tests was taken as input to train the neural network. Back propagation network was chosen for this purpose, which was written using the programming package MATLAB. The trained network was tested using separate test data obtained from the tests. A damage assessment procedure was developed using the trained network, it was validated using the data available in literature, and the outcome is presented in this paper.

Fire resistance of bi-directionally prestressed concrete under extreme fire loading

2021 ◽  
Vol 174 (9) ◽  
pp. 749-764 ◽  
Author(s):  
Ji-Hun Choi ◽  
Dal-Hun Yang ◽  
Seung-Jai Choi ◽  
Seong-Tae Yi ◽  
Jang-Ho Jay Kim
Keyword(s):  
Fire Resistance ◽  
Prestressed Concrete ◽  
Fire Loading ◽  
Extreme Fire

Damage assessment of corrosion in prestressed concrete by acoustic emission

2013 ◽  
Vol 40 ◽  
pp. 925-933 ◽  
Author(s):  
Hisham A. Elfergani ◽  
Rhys Pullin ◽  
Karen M. Holford
Keyword(s):  
Acoustic Emission ◽  
Prestressed Concrete ◽  
Damage Assessment
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