scholarly journals EFFECT OF SPECIMEN SIZE OF STATIC COMPRESSIVE TEST ON THE DYNAMIC INCREASE FACTOR OF CONCRETE COMPRESSIVE STRENGTH

Author(s):  
SANGHO LEE ◽  
CHUNGHYEON KIM ◽  
JAE-YEOL CHO
2016 ◽  
Vol 1 (01) ◽  
pp. 96
Author(s):  
Gati Annisa Hayu

AbstractSelf compacting concrete is a type of concrete that has a good workability, so it can perform compression itself without using any vibrators. Polyethylene Therephthalte (PET) is a waste that is often found in plastic bottle packaging. The existence of these problems urged many researchers to find solutions to reduce this PET plastic waste. The purpose of this study is to utilize PET as subtitution of fine agregate to produce self compacting concrete. Beside of that, this study uses 1% of Viscocrete. The composistion of PET are 0%, 5%, dan 15%. The specimen size is 15 x 30 cm. The testing are fresh concrete test (Sump Test, V-Funnel, dan L-Box) and hard concrete test (Compressive Test at day 21 and 28). The results showed that the best behavior of fresh concrete test shown by 5% of PET. While on hard concrete test, the best behaviour at the age of 28 days demonstrated by PET 5% amounting to 50,348 MPa and PET 15% of 21,214%Keywords: self compacting concrete, compressive strength, PET, SCC, superplasticizer AbstrakBeton Mampat sendiri atau lebih dikenal dengan Self Compacting Concrete adalah jenis beton yang mempunyai workability yang baik sehingga mampu melakukan pemampatan sendiri tanpa perlu menggunakan alat vibrator. Polyethylene Therephthatallate (PET) adalah limbah yang banyak dijumpai pada botol plastik minuman kemasan. Adanya permasalahan tersebut mendesak banyak pihak untuk mencari solusi dalam mengurangi limbah plastik PET ini. Tujuan dari penelitian ini adalah untuk memanfaatkan PET sebagai pengganti agregat halus untuk menghasilkan beton mampat sendiri. Selain itu juga digunakan Viscocrete sebesar 1%. Komposisi PET yang digunakan adalah 0%, 5%, dan 15%. Ukuran benda uji adalah silinder ukuran 15 x 30 cm. Pengujian berupa pengujian beton segar (Sump Test, V-Funnel, dan L-Box) dan beton keras (Tes Tekan hari ke-21 dan 28). Hasil menunjukkan bahwa dalam pegetesan beton segar perilaku palig baik ditunjukkan oleh beton mampat sendiri dengan komposisi PET sebesar 5%. Sedangkan pada tes beton keras, perilaku terbaik pada usia 28 hari ditunjukkan oleh PET 5% sebesar 50,348 MPa dan PET 15% sebesar 21,214%.Kata kunci: beton mampat sendiri, kuat tekan, PET, SCC, superplasticizer


2013 ◽  
Vol 639-640 ◽  
pp. 1021-1024
Author(s):  
Wei Zi ◽  
Zhi Wu Yu ◽  
Ya Chuan Kuang

The concrete residual compressive strength after different burning temperature and time by water cooling was experimentally studied. A detailed review of experimental phenomena in fire and the concrete failure characteristics in compressive test were given, and the relationship between the compressive strength and temperature, time were discussed. It is found that with the exposure of temperature and time increasing, the concrete residual compressive strength tends to decrease generally, but when the temperature is low or time is short, the concrete residual compressive strength tends to increase on the contrary. According to analysis of the experiment results, the formula for concrete residual compressive strength and temperature-time relationship after the fire was built.


2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Sheila Hani ◽  
Rini .

Beton merupakan salah satu bahan yang sering digunakan untuk pembangunan struktur bangunan, jembatan dan lain-lain. Beton terdiri dari campuran agregat halus (pasir), agregat kasar (kerikil), air, dan semen. Selain bahan tersebut, beton biasanya juga dicampur dengan bahan tambahan. Dalam penelitian ini digunakan serat batang pisang batu sebagai bahan tambahan dalam campuran beton.Penelitian ini bertujuan untuk mengetahui komposisi campuran serat batang pisang dalam beton, serta mengetahui perilaku keretakan beton saat dilakukan pengujian setelah adanya tambahan serat batang pisang pada campuran beton.Metode yang digunakan adalah metode eksperimental dengan variasi serat batang pohon pisang, yaitu 0% (beton normal); 2,5% dan 5%. Serat pisang dari batang pohon dikeringkan dan dipotong dengan panjang 5 cm dan ketebalan 3 mm. Dalam pengujian ini digunakan dua model benda uji, yaitu benda uji silinder berukuran 15x30 cm dan model pelat berukuran 100x100x10 cm. Pengujian yang dilakukan adalah kuat tekan beton yang dilakukan setelah beton mencapai umur 14 dan 28 hari dan pengujian susut yang dapat dilihat secara visual. Dari hasil pengujian secara visual dapat dilihat bahwa benda uji 3 yaitu beton dengan kandungan pisang 5% memiliki retak yang sangat halus dibandingkan dengan benda uji 2 (2,5%) dan dan benda uji 1 (0%). Untuk pengujian kuat tekan, benda uji 3 memberikan nilai 105 Mpa, benda uji 2 164 Mpa dan Benda uji 1 320 Mpa. Hasil kuat tekan berbanding terbalik dengan kemampuan menahan retak. Maka dapat disimpulkan bahwa penambahan serat pisang mengurangi kuat tekan beton namun menambah kemampuan beton menahan keretakan yang terjadi. Kata Kunci : Beton, Kuat Tekan, Serat Pisang   ABSTRACT Concrete was one of material which often used in building construction, bridge and others. Concrete was a combination of sand, coarse, water and cement. Beside those material, concrete also mixed with additive. In this research, banana trunk fiber were added as a additive mixture. This study was aimed to get the composition of banana trunk fiber mix, and also to know the crack behavior during compression test and shrunk.Experimental method were used with variated banana trunk fiber divided into three percentage, 0%; 2,5% and 5%. Banana trunk fiber made from skin of banana trunk tree which dried and cut into 5 cm length and 3 mm thickness. In this experiment, two mold concrete models were used. They were silinder mold with size15x30 cm and plate size 100x100x10 cm. the compressive test were held after they reach 14 and 28 days and after that day, we could see the shrunk visually. As visual, we could see that sample 3 with 5% banana trunk fiber had finer crack than sample 2 with 2,5% banana trunk fiber, and sample 2 had finer crack than sample 1 without addictive. The result of compressive strength for sample 3 was 105 Mpa, for sample 2 was 164 Mpa and for sample 1 was 320 Mpa. Compressive strength result was inversely to crack resistance. It concluded that the addition of banana trunk fiber could reduce compressive strength, but could raise the concrete ability in crack resistance Keywords: Concrete, Compressive Strength, Banana Trunk Fiber


2018 ◽  
Vol 9 (2) ◽  
pp. 67-73
Author(s):  
M Zainul Arifin

This research was conducted to determine the value of the highest compressive strength from the ratio of normal concrete to normal concrete plus additive types of Sika Cim with a composition variation of 0.25%, 0.50%, 0.75%, 1.00%, 1.25%, 1 , 50% and 1.75% of the weight of cement besides that in this study also aims to find the highest tensile strength from the ratio of normal concrete to normal concrete in the mixture of sika cim composition at the highest compressive strength above and after that added fiber wire with a size diameter of 1 mm in length 100 mm with a ratio of 1% of material weight. The concrete mix plan was calculated using the ASTM method, the matrial composition of the normal concrete mixture as follows, 314 kg / m3 cement, 789 kg / m3 sand, 1125 kg / m3 gravel and 189 liters / m3 of water at 10 cm slump, then normal concrete added variations of the composition of sika cim 0.25%, 0.50%, 0.75%, 1.00%, 1.25%, 1.5%, 1.75% by weight of cement and fiber, the tests carried out were compressive strength of concrete and tensile strength of concrete, normal maintenance is soaked in fresh water for 28 days at 30oC. From the test results it was found that the normal concrete compressive strength at the age of 28 days was fc1 30 Mpa, the variation in the addition of the sika cim additive type mineral was achieved in composition 0.75% of the cement weight of fc1 40.2 Mpa 30C. Besides that the tensile strength test results were 28 days old with the addition of 1% fiber wire mineral to the weight of the material at a curing temperature of 30oC of 7.5%.


2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Sudarmadi Sudarmadi

In this paper a case study about concrete strength assessment of bridge structure experiencing fire is discussed. Assessment methods include activities of visual inspection, concrete testing by Hammer Test, Ultrasonic Pulse Velocity Test, and Core Test. Then, test results are compared with the requirement of RSNI T-12-2004. Test results show that surface concrete at the location of fire deteriorates so that its quality is decreased into the category of Very Poor with ultrasonic pulse velocity ranges between 1,14 – 1,74 km/s. From test results also it can be known that concrete compressive strength of inner part of bridge pier ranges about 267 – 274 kg/cm2 and concrete compressive strength of beam and plate experiencing fire directly is about 173 kg/cm2 and 159 kg/cm2. It can be concluded that surface concrete strength at the location of fire does not meet the requirement of RSNI T-12-2004. So, repair on surface concrete of pier, beam, and plate at the location of fire is required.


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.


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