نتایج جستجو برای: error rate of concrete compressive strength

تعداد نتایج: 21224568  

M. Hosseinpour, Y. Sharifi,

In the current study two methods are evaluated for predicting the compressive strength of concrete containing metakaolin. Adaptive neuro-fuzzy inference system (ANFIS) model and stepwise regression (SR) model are developed as a reliable modeling method for simulating and predicting the compressive strength of concrete containing metakaolin at the different ages. The required data in training an...

2007
Tamás K. Simon

The new concrete standards give directives regarding the checking if the hardened concrete conforms to the compressive strength requirements of the designed compressive strength class. The acceptance or rejection of conformity is the function of the compressive strength testing methods and the evaluation of the test results. In the paper through examples we show the role of the acceptance proba...

S.Dilmaghani and F. Zainalli,

In this research, 210 concrete cube specimens (15cm) were made replacing 0, 5, 10, 15, 20, 25, 30, 35, 40, 50, and 60 percent of slag powder from Isfahan Steel Mill for cement. The control specimens were made with 350 kg/m3 cement content and the water cement ratio in all specimens was 0.51. The Slump value and compressive strength of concrete specimens in 7, 28 and 90 days were obtained and th...

2015
Bahador Abolpour Mohammad Mehdi Afsahi Saeed Gharib Hosseini

In this study, the effects of various factors (weight fraction of the SiO2, Al2O3, Fe2O3, Na2O, K2O, CaO, MgO, Cl, SO3, and the Blaine of the cement particles) on the concrete compressive strength and also initial setting time have been investigated. Compressive strength and setting time tests have been carried out based on DIN standards in this study. Interactions of these factors have been ob...

2018
Huaicheng Chen Chunxiang Qian Chengyao Liang Wence Kang

In this paper, a support vector machine (SVM) model which can be used to predict the compressive strength of mortars exposed to sulfate attack was established. An accelerated corrosion test was applied to collect compressive strength data. For predicting the compressive strength of mortars, a total of 638 data samples obtained from experiment was chosen as a dataset to establish a SVM model. Th...

Journal: :مهندسی عمران فردوسی 0
سید روح ا.. موسوی محمدرضا اصفهانی مهراله رخشانی مهر

concrete beams reinforced with glass fiber reinforced polymer (gfrp) bars exhibit large deflections and crack widths as compared with steel reinforced concrete beams due to the low modulus of elasticity of gfrp bars. different studies show that aci 318 equation for the effective moment of inertia ie does not predict deflection well for frp reinforced concrete beams. the purpose of this paper is...

2014
J. J. Zeng S. N. Wang

The designed service life of Hong Kong-Zhuhai-Macao Bridge is 120 years. Concrete quality control for the submerged tunnel of the project is an important work to assure the designed service life. This article is to present an advanced concrete performance prediction method based on water–binder ratio (w/b) monitoring, which is used to serve for concrete quality control. During experiments in th...

F. Khademi , K. Behfarnia,

In the present study, two different data-driven models, artificial neural network (ANN) and multiple linear regression (MLR) models, have been developed to predict the 28 days compressive strength of concrete. Seven different parameters namely 3/4 mm sand, 3/8 mm sand, cement content, gravel, maximums size of aggregate, fineness modulus, and water-cement ratio were considered as input variables...

M. Naderi Dehkordi, M. Torkan ,

Concrete is the second most consumed material after water and the most widely used construction material in the world. The compressive strength of concrete is one of its most important mechanical properties, which highly depends on its mix design. The present study uses the intelligent methods with instance-based learning ability to predict the compressive strength of concrete. To achieve this ...

This study investigates the reinforcement correction factor of concrete core in more detail to prepare appropriate outlines for interpretation of results. This investigation aims to minimize uncertainties involved to carry out the more realistic condition assessment of suspect buildings before taking up retrofitting/strengthening measures. For this purpose, an extensive experimental program inc...

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