標題: 含聚丙烯纖維高強度鋼筋混凝土柱受圍束之應力與應變關係
Stress-Strain Model for Confined Concrete with Polypropylene Fiber Used in New RC Column
作者: 陳玉龍
林昌佑
劉光晏
Chen, Yu-Lung
Lin, Chung-Yu
Liu, Kuang-Yen
土木工程系所
關鍵字: 柱;高強度鋼筋混凝土;軸壓試驗;圍束效應;聚丙烯纖維;Column;High-Strength Concrete;Axial Load;Confined Concrete;Polypropylene Fiber
公開日期: 2017
摘要: 隨著國家的發展逐漸成熟,人口會開始往都市聚集,建築物的型式也漸漸改變,空間需求愈來愈大,建物也會向上發展,故高樓建築是都會區的新興趨勢,也因為如此,高樓結構物底層之柱構件承受之垂直載重甚大,若使用一般RC需要加大柱斷面,影響室內使用空間以及美觀,故近幾年開始使用新型高強度鋼筋混凝土(New RC),其抗壓強度可以高於一般鋼筋混凝土數倍,因此不必大幅擴大柱斷面,如此一來,不僅能達到建築物空間不縮減,也可節省材料用量,降低工程成本以及符合環保需求;惟New RC也有其缺點,其韌性比一般RC還差,且破壞較為脆性,對於結構物來說,此種破壞模式是非常危險的,發生火害時,New RC之抗壓強度下降趨勢也較為迅速,若能解決這些問題,高強度鋼筋混凝土在土木工程的應用必定能更廣泛。 首先,本研究依據美國、加拿大與紐西蘭等國家規範,設計出符合規範之橫向鋼筋量、彎鉤形式、彎鉤彎轉半徑及伸展長度,並參考以往文獻設計合理之箍筋間距,混凝土方面以亞利預鑄工業工程股份有限公司之本土化材料施工,並參考日本對於高強度混凝土添加聚丙烯纖維之文獻來設計纖維含量,總共設計八組方柱試體,探討不同纖維含量下,其受同心軸向壓力作用之行為,搭配材料試驗,以應力應變曲線預測模型,對相關控制參數進行迴歸分析,最後建立聚丙烯纖維高強度混凝土應力與應變關係曲線預測模型。
With the development of the country, high-rise buildings will become a new trend in met-ropolitan areas. Using traditional RC need to increase the column section to bear vertical loads, it will reduce the space for living, so New RC begin to be used recent years. The compressive strength of New RC can be higher than the traditional RC several times. Therefore, not only the space of the building will not be reduced, but also saving lots of materials and more eco-friendly. However, New RC is brittle, it’s dangerous for the structure, and after bearing fire damage, the high-strength concrete compressive strength will drop very rapid. This study is based on the United States, Canada and New Zealand design formula to de-sign the transverse reinforcement, forms of hooks, flexural radius, spacing of stirrup and devel-opment length to meet that design specification. Using local materials and mix polypropylene fiber which volume ratio according to Japanese studies for high-strength concrete. This experiment aimed to compare behaviors for columns with different polypropylene fiber content under concentric compression. According to this experiment and material tests, we can perform regression analysis on related control parameters referring to current predictive model of stress and strain.
URI: http://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT070451207
http://hdl.handle.net/11536/141874
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