A Neural Network to Estimate Concrete Strength Based on Non-Destructive Test Results

Author(s):  
S.A. Mourad ◽  
A.W. Sadek ◽  
A.A. El-Fayoumy
2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Tito Endramawan ◽  
Emin Haris ◽  
Felix Dionisius ◽  
Yuliana Prinka

The purpose of the research are determine acceptance criteria the specimen based on ASME standard. The research used mild steel materials with hardness 220 HVN with sized 30 cm x 20 cm x 1.2 cm then  SMAW welding process position of 3G buttjoint with rooting electrode LB 52U diameter 2.6 mm used current 70 Amper and voltage 380 volt, for Filler used LB 5218 electrode 3.2 mm with current of 80 Amper and voltage of 380 volts. The welding process influenced by many factor which cause failure. The method for inspect result of weld used Non Destructive Test Penetrant Testing (NDT PT) and used ASME standard for acceptance criteria. The test results showed the discontinuity of porosity on the surface of the welded product in specimen 1 is the largest rounded 5 mm at 233 mm distance so that based on the acceptance criteria of AWS standard, the welding result is accepted and the specimen 2 there is discontinuity at 233 mm with the size of 8 mm so that Otherwise rejected. This rejected result can be improved by gouging the discontinuity and then welded.


2019 ◽  
Vol 9 (19) ◽  
pp. 4053 ◽  
Author(s):  
Jong Yil Park ◽  
Young Geun Yoon ◽  
Tae Keun Oh

Mechanical waves, such as ultrasonic waves, have shown promise for use in non-destructive methods used in the evaluation of concrete properties, such as strength and elasticity. However, accurate estimation of the concrete compressive strength is difficult if only the pressure waves (P-waves) are considered, which is common in non-destructive methods. P-waves cannot reflect various factors such as the types of aggregates and cement, the fine aggregate modulus, and the interfacial transition zone, influencing the concrete strength. In this study, shear waves (S-waves) and Rayleigh waves (R-waves) were additionally used to obtain a more accurate prediction of the concrete strength. The velocities of three types of mechanical waves were measured by recent ultrasonic testing methods. Two machine learning models—a support vector machine (SVM) and an artificial neural network (ANN)—were developed within the MATLAB programming environment. Both models were successfully used to model the relationship between the mechanical wave velocities and the concrete compressive strength. The machine learning model that included the P-, S-, and R-wave velocities was more accurate than the model that included only the P-wave velocity.


2012 ◽  
Vol 193-194 ◽  
pp. 887-890
Author(s):  
Jin Yang Zhang

The appearance of commercial concrete has heightened architectural construction level, improved construction civilization and offered the guarantee of the popularization and application of new tech significantly. Meanwhile, its popularization has brought the issues of structural solid concrete strength test and early plastic cracks. Currently, the solution for commercial concrete structural strength test is mainly done by means of method of non-destructive test of core-drilling correction. Merely the primary analysis can be done over the early plastic cracks to find no reasonable explanation toward those cracks, nor define the responsibilities of the related subjectival responsible parts that cause the cracks.


2011 ◽  
Vol 4 (4) ◽  
pp. 582-591 ◽  
Author(s):  
M. S. Lorrain ◽  
M. P. Barbosa ◽  
L. C. P. Silva Fº

Quality control of structural concrete has been conducted for several decades based mainly on the results of axial compression tests. This kind of test, although widely used, is not exempt from errors and has some considerable drawbacks that may affect its reliability, such as the need for appropriate and careful specimen conditioning and adoption of adequate capping techniques. For these reasons, it would be useful to have complementary or alternative ways to check compressive strength, in order to improve concrete quality control. The use of a bond test to monitor concrete strength is being proposed by an international group of researchers from France, Tunisia and Brazil as a potential means to this end. Given the fact that the link between bond resistance and concrete strength is already well established, this type of test seems to be a viable alternative to traditional methods. Nonetheless, to check if the underlying principle is sound when used in different circumstances, the group has been gathering data from several studies conducted by different researchers in various countries, with distinct concretes and rebar types. An analysis of the data collected shows that there is a clear and strong correlation between bond resistance and compressive strength, no matter the influence of other variables. This result validates the basic idea of using an Appropriate Pull-Out (APULOT) bond test to assess concrete strength. If the general principle is valid for random data obtained from different studies, the definition of a clear and appropriate test will probably lead to the reduction of experimental noise and increase the precision of the strength estimates obtained using this method.


2020 ◽  
Vol 8 (2) ◽  
pp. 57-66
Author(s):  
Novi Laura Indrayani ◽  
Herry Oktadinata ◽  
Ito Suteja

Welding techniques have been used extensively in the construction field because welding techniques are a simpler method in the process of connecting steel than using bolts or rivets. Factors that influence the quality of welding results include distance of the seam. The seam distance can affect the increase in heat input value because the wider the seam distance the more filler metal will be used. The purpose of this study was to determine how the effect of variations in the distance of the seam to the mechanical properties of SS400 steel welding material using the GMAW method. SS400 steel welding welding position 2G with variations in the root gap distance of 0 mm, 2 mm and 4 mm using the GMAW method with a type of protective gas 82% Ar + 18% CO2 and ESAB ER70S-6 type welding wire. Single v butt joint type with a seam angle of 60o and 12 mm thick material. In this study several tests were conducted including distortion testing, non-destructive test, tensile, chemical composition, hardness and microstructure observation. The highest distortion test results obtained at a root gap of 4 mm seam, non-destructive test results showed no welding defects in the upper surface of the weld, the optimal tensile testing results were obtained on a sample root gap of 2 mm with a tensile strength value of 413 MPa and fractures that occurred in the base area metal. The highest hardness test results were obtained at a sample root gap  of 0 mm ap with a value of 235 HV and the lowest hardness obtained at a root gap of 4 mm with a value of 209 HV.


2021 ◽  
Vol 1021 ◽  
pp. 45-54
Author(s):  
Mohammed Al-Helfi ◽  
Ali Allami

Non-Destructive methods have greater advantage in assessing the homogeneity, compressive strength, corrosion of rebars in concrete etc. of damaged structures. The aim of the present study is to assess the existing building, which is 41 year old, in the Technical Institute of Amara affiliated with the Southern Technical University, Maysan, Iraq. The research focus on the assessment of the concrete strength and the inspection of the damages in the building. Besides the visual inspection, the ultrasonic pulse velocity and schmidt hammer were used as a non-destructive test method for testing of 30 columns and 15 beams for a building consisting of three floors. The concrete compressive strength was estimated by using SonReb method. The equations proposed by Gasparik, 1984, Di Leo & Pascale, 1994, Arioglu et al., 1996, Cristofaro et al. (EXP), 2020 and Cristofaro et al (PW), 2020 were used for assessment the compressive strength of oncrete. The non-destructive test results indicated that the average strength of the structural elements greater than the design compressive strength of the tested elements. Therefore, the building can be considered structurally is safe.


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