Numerical and theoretical investigation on the size effect of concrete compressive strength considering the maximum aggregate size

2021 ◽  
Vol 192 ◽  
pp. 106130 ◽  
Author(s):  
Liu Jin ◽  
Wenxuan Yu ◽  
Dong Li ◽  
Xiuli Du
2018 ◽  
Vol 4 (4) ◽  
pp. 88
Author(s):  
Reza Fauzi Nirwan ◽  
Priyanto Saelan

ABSTRAKPenelitian ini dilakukan untuk mengetahui hasil perancangan campuran beton abu terbang yang mensubtitusi semen dengan cara pendekatan sand blended, yaitu abu terbang yang mensubtitusi semen diperlakukan sebagai agregat halus, sehingga agregat halus merupakan campuran dari pasir dan abu terbang. Penelitian dilakukan dengan kuat tekan rencana 20 MPa dan 30 MPa. Substitusi semen oleh abu terbang sebesar  10 %, 20 %, dan 30 % dari berat semen. Ukuran maksimum agregat kasar yang digunakan adalah 20 mm, dan pasir dengan modulus kehalusan 2,768, slump rencana 6 cm dan 10 cm. Hasil pengujian tekan silinder beton berdiameter 10 cm dan tinggi 20 cm menunjukkan bahwa kuat tekan beton abu terbang yang dihasilkan berdekatan dengan beton acuan yaitu beton tanpa abu terbang, untuk semua kadar abu terbang yaitu sampai dengan kadar subtitusi semen oleh abu terbang sebesar 30 %. Pendekatan sand blended dapat dilakukan dalam perancangan campuran beton abu terbang.Kata Kunci : beton abu terbang, kuat tekan, pasir blendedABSTRACTThis is research was performed to know the result of the test of fly ash concrete mix designed by sand blended method. Fly ash will be treated as fine aggregate so that the total fine aggregate is the consist of fly ash and sand. 20 MPa and 30 MPa concrete mix are designed for 10 %, 20 % and 30 % by weight of cement subtitution by fly ash. Concrete mix use 20 mm maximum aggregate size, finess modulus of sand 2.768, and 6 cm and  10 cm slump. Compressive strength tests of 10 cm diameter and 20 cm height cylinder showed that the stength of fly ash concrete is the same as the strength of initial concrete. Fly ash concrete mix can be designed by sand blended approximation.Keywords : fly ash concrete, compressive strength, blended sand


2000 ◽  
Vol 22 (2) ◽  
pp. 103 ◽  
Author(s):  
RD Hooton ◽  
SA Issa ◽  
MdS Islam ◽  
MA Issa ◽  
AA Yousif ◽  
...  

2012 ◽  
Vol 238 ◽  
pp. 133-137 ◽  
Author(s):  
Wei Xie ◽  
Ya Nan Jin ◽  
Shu Shan Li

To discuss the influence of coarse aggregate size, water cement ratio and ages on the concrete compressive strength,the compressive strength tests were carried out by 54 cubic specimens of pebbles concrete in dimensions of 150mm, 18 cubic specimens with dimensions of 200mm and 72 specimens with size of 150mm×150mm×300mm. The results show that the maximum size of coarse aggregate rises with the decrease of the concrete compressive strength; Concrete compressive strength of coarse aggregate size affects more apparently as the ratio of water-cement decrease; with the increasing of age, concrete compressive strength of the aggregate size effect has no significant changes.


2021 ◽  
Vol 11 (9) ◽  
pp. 3866
Author(s):  
Jun-Ryeol Park ◽  
Hye-Jin Lee ◽  
Keun-Hyeok Yang ◽  
Jung-Keun Kook ◽  
Sanghee Kim

This study aims to predict the compressive strength of concrete using a machine-learning algorithm with linear regression analysis and to evaluate its accuracy. The open-source software library TensorFlow was used to develop the machine-learning algorithm. In the machine-earning algorithm, a total of seven variables were set: water, cement, fly ash, blast furnace slag, sand, coarse aggregate, and coarse aggregate size. A total of 4297 concrete mixtures with measured compressive strengths were employed to train and testing the machine-learning algorithm. Of these, 70% were used for training, and 30% were utilized for verification. For verification, the research was conducted by classifying the mixtures into three cases: the case where the machine-learning algorithm was trained using all the data (Case-1), the case where the machine-learning algorithm was trained while maintaining the same number of training dataset for each strength range (Case-2), and the case where the machine-learning algorithm was trained after making the subcase of each strength range (Case-3). The results indicated that the error percentages of Case-1 and Case-2 did not differ significantly. The error percentage of Case-3 was far smaller than those of Case-1 and Case-2. Therefore, it was concluded that the range of training dataset of the concrete compressive strength is as important as the amount of training dataset for accurately predicting the concrete compressive strength using the machine-learning algorithm.


2006 ◽  
Vol 33 (2) ◽  
pp. 206-213 ◽  
Author(s):  
Peter J Tumidajski ◽  
B Gong

The properties of concrete were studied when the proportions of 37.5 and 19.5 mm stone in the coarse aggregate were varied. With the cement content of 160 kg/m3 and the ratio of water/cement (w/c) greater than 0.9, the compressive strength is maximum at 25 percent by weight (w/o) of 37.5 mm stone. Conversely, for the cement content of 350 kg/m3 and w/c ratios of less than 0.50, maximum compressive strength is substantively reduced. For both 160 kg/m3 and 350 kg/m3 cement contents, workability improves slightly as the proportion of the 37.5 mm stone is increased. For 100 mm fixed slumps and cement content of less than 160 kg/m3, there was little change in compressive strength as the proportion of 37.5 mm stone increased. However, when cement content was increased from 190 to 350 kg/m3, maximum compressive strength was observed, which shifted downward from 50 w/o to 25 w/o of 37.5 mm stone. In general, to maintain a 100 mm slump, water demand decreased as the proportion of 37.5 mm stone in the coarse aggregate fraction increased.Key words: concrete, compressive strength, workability, slump, aggregate, size, cement.


2013 ◽  
Vol 351-352 ◽  
pp. 422-426
Author(s):  
Yong Ping Xie ◽  
Lei Jia ◽  
Gang Sun

With the development of modern constructional technique, more attention on the size effect is paid by academics and engineers. The normal section bearing capacity of Reinforced Concrete Column is analyzed by eccentrically compressed theory firstly. The size effect on normal section bearing capacity of reinforced concrete column is obtained by theoretical analysis and experimental summary. The size effect formula of concrete compressive strength is proposed. Finally, a research thinking of size effect on bearing capacity is suggested.


1985 ◽  
Vol 64 ◽  
Author(s):  
L. E. Malvern ◽  
T. Tang ◽  
D. A. Jenkins ◽  
J. C. Gong

ABSTRACTFinite-element codes for structural response of reinforced concrete use as a parameter the unconfined compressive strength of the concrete, fc', which is sometimes increased by an arbitrary factor for dynamic loading. The objective of this research is to determine the rate dependence of fc' and eventually to model the rate-dependent constitutive behavior. Results of tests with a small Kolsky bar system and of a newly built larger system on concrete with a maximum aggregate size 1/2 inch are reported with strain rates at the maximum stress from 50 to 800/sec for mortar and from 5 to 120/sec for concrete. An apparent rate dependence up to almost twice the static strength is observed for both. The mortar shows an apparent linear dependence, while the high-strength concrete shows an approximately logarithmic dependence on the strain rate at the maximum stress, over the dynamic range observed. Some questions about specimen size effects and about how much of the apparent strain-rate effect is really a lateral inertia confinement effect are as yet unresolved. Continuing research is focused on observation of the lateral motion to assess lateral inertia effects in unconfined specimens and on passive confinement by steel jackets. Future efforts will be directed toward constitutive modeling.


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