采用数字图像处理技术对不同等级卡氏纤维混凝土性能的比较研究

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Vijayalakshmi Ramalingam, M. Sameer, Geetha Ramalingam
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引用次数: 0

摘要

本文主要研究了天然仙人掌植物纤维作为增强材料对不同等级混凝土强度性能的影响。纤维长度分别为10mm、20mm和30mm,掺量为粘结剂掺量的3%。在M30、M40和M50混凝土中加入三种不同长度的固定体积分数纤维。研究了12种不同纤维混凝土配合比的和易特性和力学性能。采用数字图像处理技术和视频测量系统图像,研究了纤维对混凝土试件开裂后性能的影响。利用所建立的线性回归图,建立了混凝土抗压强度与其他力学性能之间的关系。研究表明,丰富纤维素含量的核果纤维有助于在加载初期阻止裂缝,并防止峰后区域出现主要裂缝面。纤维的主要作用是提高混凝土的抗拉强度。与M40和M50混凝土相比,纤维在M30混凝土中的作用更为突出。本课题主要研究天然植物纤维作为钢筋在混凝土中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative study on the performance of caryota urens fiber reinforced concrete of different grades along with Digital image processing techniques
This research work focuses on the effect of natural caryota urens plant fiber as reinforcement on the strength properties of concrete of different grade. Fiber length of 10 mm, 20 mm and 30 mm were added to the concrete mix at an amount of 3% of the binder content. Three different lengths of fibers at fixed volume fraction were added to M30, M40 and M50 grades of concrete. The workability characteristics and mechanical property of twelve different fiber reinforced concrete mixes were investigated.  The effect of fibers on the post cracking behaviour of the concrete specimen was investigated using digital image processing technique and video measuring system images.  Using the developed Linear regression plot, empirical equations were formulated to establish relation between the compressive strength and other mechanical properties of concrete. From the study it can be concluded that the caryota fiber with rich cellulose content contribute to arrest the cracks at the initial stage of loading and prevents major crack plane in the post peak region. Fibers mainly contribute to increase tensile strength of concrete. The effect of fibers is more prominent in M30 mix concrete when compared to M40 and M50 concrete mixes. This research work mainly focuses on the application of natural plant fibers in concrete as reinforcement.
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来源期刊
Revista Iteckne
Revista Iteckne ENGINEERING, MULTIDISCIPLINARY-
自引率
50.00%
发文量
3
审稿时长
24 weeks
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