Study on Compression Behavior of Steel Reinforced Concrete Columns

碩士 === 國立交通大學 === 土木工程學系 === 84 === This experimental research is conducted to investigate the behavior and load-carring capacity of steel reinforced concrete (SRC) columns which are the type of concrete-encased steel columns. Ten specimens are fabricat...

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Bibliographic Details
Main Authors: Yeh, Shyh Ching, 葉士青
Other Authors: Chen Cheng Jyr
Format: Others
Language:zh-TW
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/12881460729481265117
Description
Summary:碩士 === 國立交通大學 === 土木工程學系 === 84 === This experimental research is conducted to investigate the behavior and load-carring capacity of steel reinforced concrete (SRC) columns which are the type of concrete-encased steel columns. Ten specimens are fabricated and testedunder pure axial load. Parameters such as the shape of steel section, contents of steel, spacing of lateral tie, contents of tie and shape of tie, are studiedfor the effect on behavior and capacity, such as ultimate strength, effect of confienment and post-failer strength. Test results show that the specimens behave linearly at the beginning of the test and , then, nonlinearly until reaching the ultimate strength. Concrete cover begins to spall and the buckling of the rebars as well as the fracture of the ties or the failure of anchorage are followed. The small spacing of ties can enhance the effect of confinement. Steel of cross shape behaves well after reaching peak-load and has a higher residual strength. Compared to quadrangled ties, octagonal ties can effectively improve the post-failure strength and avoid the loss of post-failure strength caused by unsuitable steel shape or large spacing of ties. With the decreasing of tie spacing, octagonal tie works more effectively. Based on test results, theoretically develop the procedure to estimate the concrete compressive strength for the concrete highly confined by steel shape. The calculation of axial strength of SRC columns considering the confined concrete compressive strength can predict well.