Relevant bibliographies by topics / Rebound hammer test

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Rebound hammer test'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Rebound hammer test"

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Wang, Yu Ren, Dai Lun Chiang, and Yi Jao Chen. "Adapting ANFIS to Improve Field Rebound Hammer Test for Concrete Compressive Strength Estimation." Materials Science Forum 975 (January 2020): 191–96. http://dx.doi.org/10.4028/www.scientific.net/msf.975.191.

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Rebound hammer tests are one of the most popular non-destructive testing methods to examine the concrete compressive strength in the field. Rebound hammer tests are relatively easy to conduct and low cost. More importantly, it will not cause damage to the existing structure and can obtain the results in a short time. However, concrete compressive strength estimations provided by rebound hammer tests have an average of around 20% mean absolute percentage error (MAPE) when comparing to the results from destructive tests. This research proposes an alternative approach to estimate the concrete compressive strengths using the rebound hammer test data. The alternative approach is to adopt the Artificial Neural Fuzzy Inference Systems, ANFIS, to develop an AI-based prediction model for the rebound hammer tests. A total of 100 rebound hammer tests are conducted in a 24-story residential building. Core samples are carefully taken to obtain the actual compressive tests. The data collected are used to train and validate the ANFIS prediction model. The results show that the proposed ANFIS model has successfully reduced the MAPE to 10.01%.
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Deng, Peng, Yan Sun, Yan Liu, and Xiaoxiao Song. "Revised Rebound Hammer and Pull-Out Test Strength Curves for Fiber-Reinforced Concrete." Advances in Civil Engineering 2020 (February 24, 2020): 1–12. http://dx.doi.org/10.1155/2020/8263745.

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Rebound hammer tests and postinstalled pull-out tests are commonly used for evaluating the compressive strength of ordinary concrete, and the strength of concrete is estimated by strength curves. However, using these strength curves to predict the compressive strength of carbon fiber-reinforced concrete (CFRC), polypropylene fiber-reinforced concrete (PFRC), and carbon-polypropylene hybrid fiber-reinforced concrete (HFRC) may lead to considerable uncertainties. Therefore, this study revises the strength curves derived from rebound hammer tests and postinstalled pull-out tests for ordinary concrete. 480 specimens of fiber-reinforced concrete (FRC) of six strength grades are examined. Standard cube compressive strength tests are used as a reference, and the results of various regression models are compared. The linear model is determined as the most accurate model for postinstalled pull-out tests, whereas the power model is the most accurate for rebound hammer tests. The proposed strength curves have important applications for FRC engineering of the postinstalled pull-out tests and rebound hammer tests.
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Wang, Yu Ren, Wen Ten Kuo, Shian Shien Lu, Yi Fan Shih, and Shih Shian Wei. "Applying Support Vector Machines in Rebound Hammer Test." Advanced Materials Research 853 (December 2013): 600–604. http://dx.doi.org/10.4028/www.scientific.net/amr.853.600.

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There are several nondestructive testing techniques available to test the compressive strength of the concrete and the Rebound Hammer Test is among one of the fast and economical methods. Nevertheless, it is found that the prediction results from Rebound Hammer Test are not satisfying (over 20% mean absolute percentage error). In view of this, this research intends to develop a concrete compressive strength prediction model for the SilverSchmidt test hammer, using data collected from 838 lab tests. The Q-values yield from the concrete test hammer SilverSchmidt is set as the input variable and the concrete compressive strength is set as the output variable for the prediction model. For the non-linear relationships, artificial intelligence technique, Support Vector Machines (SVMs), are adopted to develop the prediction models. The results show that the mean absolute percentage errors for SVMs prediction model, 6.76%, improves a lot when comparing to SilverSchmidt predictions. It is recommended that the artificial intelligence prediction models can be applied in the SilverSchmidt tests to improve the prediction accuracy.
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Jarushi, Fauzi, Paul J. Cosentino, and Edward H. Kalajian. "Prediction of High Pile Rebound with Fines Content and Uncorrected Blow Counts from Standard Penetration Test." Transportation Research Record: Journal of the Transportation Research Board 2363, no. 1 (January 2013): 47–55. http://dx.doi.org/10.3141/2363-06.

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High-displacement piles have rebounded significantly while undergoing an extremely small permanent set per hammer blow in certain soils. This phenomenon, called high pile rebound (HPR), has occurred in many areas of North America. The Florida Department of Transportation identified HPR at six sites in Florida during the process of driving square, precast, prestressed concrete piles into saturated, fine silty-to-clayey sand and sandy-clay soils. Data on pile driving analyzer deflection versus time were used to develop strong correlations between fines content, uncorrected standard penetration test blow counts (NSPT), pile displacements, and rebound. The correlations developed in this study allow the geotechnical engineer to predict whether HPR will occur at a proposed site at which high-displacement piles are planned for driving by a single-acting diesel hammer. A design equation relating pile rebound to NSPT and fines content was developed. The correlations showed that permanent set and rebound were a direct function of NSPT and fines content of the soil at the pile tip. The design equation provides a methodology that allows prediction of HPR during the design phase.
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Bui, Quoc-Bao. "Assessing the Rebound Hammer Test for Rammed Earth Material." Sustainability 9, no. 10 (October 21, 2017): 1904. http://dx.doi.org/10.3390/su9101904.

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Brencich, Antonio, Giancarlo Cassini, Davide Pera, and Giuseppe Riotto. "Calibration and Reliability of the Rebound (Schmidt) Hammer Test." Civil Engineering and Architecture 1, no. 3 (October 2013): 66–78. http://dx.doi.org/10.13189/cea.2013.010303.

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Brožovský, Jiří. "Influence of Moisture of Light-Weight Concrete Containing Lightweight Expanded Clay Aggregate on Test Results Obtained by Means of Impact Hammer." Advanced Materials Research 753-755 (August 2013): 663–67. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.663.

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Properties of light-weight concrete congaing lightweight expanded clay aggregate differ from the ones of normal-weight concrete containing natural normal-weight aggregate. Particularly, when compared with natural normal-weight aggregate, these differences are due to lightweight aggregate being characterized by significantly lower strength and bulk weight as well as higher absorptivity. Properties of expanded clay lightweight aggregate influence the ones of light-weight concrete, too. Parameters obtained by means of Schmidt impact hammer non-destructive testing are influenced by series of factors, among others also concrete moisture. Moisture of light-weight concrete containing lightweight aggregate influences rebound number of Schmidt impact hammer. As to Schmidt impact hammer type N (2.25 Nm impact energy), rebound number on dry concrete exceeds the one on waterlogged concrete by 21 %. Correction coefficients for rebound number correction were defined taking into account moisture of light-weight concrete under testing.
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Borosnyói, Adorján, and Katalin Szilágyi. "Studies on the spatial variability of rebound hammer test results recorded at in-situ testing." Epitoanyag - Journal of Silicate Based and Composite Materials 65, no. 4 (2013): 102–6. http://dx.doi.org/10.14382/epitoanyag-jsbcm.2013.19.

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Brožovský, Jiří. "Rebound Hammer Tests of Calcium Silicate Bricks – Effects of Internal Compressive Stress on Measurement Results." Applied Mechanics and Materials 595 (July 2014): 155–58. http://dx.doi.org/10.4028/www.scientific.net/amm.595.155.

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The rebound hammers of the Schmidt system belong among the non-destructive testing methods that are used for determining compressive strength of building materials, most often concrete and rocks. Calibration relations between the rebound number and compressive strength must be available to determine the compressive strength. Calibration relations are determined on the basis of destructive and non-destructive tests of test specimens. This paper deals with the effects of internal compressive stress in calcium silicate bricks on measurement results obtained using the L-type Schmidt hammer. Based on the obtained information, in order to process calibration relations, it is recommended to apply such force to the test specimens, which corresponds to the internal compressive stress 10-15% of the final compressive strength. We do not recommend measuring on firmly supported bricks only.
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Kongola, Moses, and Karim Baruti. "Prediction of Uniaxial Compressive Strength of Granite Rock Samples of Lugoba Quarry Using Rebound Hammer Test." Tanzania Journal of Engineering and Technology 40, no. 1 (July 31, 2021): 16–27. http://dx.doi.org/10.52339/tjet.v40i1.710.

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Rebound hammer test is widely used as an indirect measure of uniaxial compressive strength for engineering materials such as concrete, soil, and rock in both civil and mining engineering works. In quarries, uniaxial compressive strength is a crucial parameter in the analysis of geotechnical problems involving rock stability and rock blasting design. This study aims at establishing the empirical models of uniaxial compressive strength fits on rebound hammer number that can be used to predict uniaxial compressive strength of granitic rock at Lugoba Quarry. Data for direct uniaxial compressive strength were obtained from uniaxial compressive strength test carried out on 20 core samples at the Dar es Salaam Institute of Technology Geotechnical Laboratory using ISMR Standard Procedures. The rebound hammer test was carried out using testing hammer type N. The tests were done horizontally on two scanline's geotechnical domains of the rock mass on the footwall side of the quarry. The obtained results of UCS ranging from 105 to 132.5 MPa and RHN from 44.90 to 49.5 were found to be comparable with values of other granitic rocks in other parts of the world. Regression Analysis using SPSS software was carried out to develop 5 regression models of UCS vs.RHN. The values of obtained in this study were found to be between 0.93 and 0.95, which are comparable with other studies. This implies that RHN accounted between 93 and 95% of the total variation of the UCS and the relationships were very strong. Two models; Logarithmic and exponential were found to be appropriate and recommended for application at Lugoba Quarry.
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Dissertations / Theses on the topic "Rebound hammer test"

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Uchytilová, Jitka. "Využití regresní analýzy a tvrdoměrných metod při vyhodnocování pevnosti betonu v tlaku v prefabrikovaných dílcích." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2021. http://www.nusl.cz/ntk/nusl-433523.

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This thesis deals with the rebound hammer method as a tool for approximation of the time limit for handling the concrete. The theoretical part is focused on three fields of knowledge - rebound hammer test, production of precast concrete components and statistical data analysis. The following practical part deals with the design of two single-parameter linear functions for two types of rebound hammer testers - SilverSchmidt L and SchmidtOriginal N. Statistical data processing is completed by the analysis of influential points by using the Cook’s distance. The resulting statistical models are compared with commonly used relationships.
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Kozáček, Vojtěch. "Experimentální stanovení závislosti parametrů NDT a pevnosti v tlaku betonu." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-409957.

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The diploma thesis deals with non-destructive testing of concrete as well as with the relationship between determined parameters and the compressive strength of concrete. The thesis is mainly focused on the ultrasonic pulse velocity method and the rebound hammer test. The experimental part of the thesis describes non-destructive tests performed on concrete blocks. The compressive strength was tested on the drill cores taken from the concrete blocks. The aim of this thesis is to find regression models of the relationship between the compressive strength and non-destructive parameters, and the subsequent analysis of the results.
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Alwash, Maitham Fadhil Abbas. "Assessment of concrete strength in existing structures using nondestructive tests and cores : analysis of current methodology and recommendations for more reliable assessment." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0587/document.

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Pour évaluer la résistance mécanique du béton dans un ouvrage existant, la méthodologie courante combine des mesures non destructives (CND) comme le rebond ou/et la vitesse des ondes ultrasoniques avec la technique destructive (carottes) afin de produire une relation‘‘modèle de conversion” entre la résistance mécanique et les mesures CND. Le modèle de conversion est utilisé pour estimer la valeur locale de résistance mécanique à chaque emplacement de test en utilisant la valeur CND correspondante. Ensuite, on calcule les estimations de la résistance moyenne et/ou de l’écart-type de la résistance (variabilité de la résistance du béton). Cependant, la fiabilité d’estimation est toujours discutable en raison des incertitudes associées à l’évaluation de la résistance basée sur les mesures CND. Pour améliorer la fiabilité, les incertitudes doivent être réduites en spécifiant et en contrôlant leurs facteurs d’influence. Par conséquent, l’objectif de cette thèse est d’analyser la méthodologie d’évaluation courante afin de fournir des recommandations pratiques qui peuvent améliorer la fiabilité de l’évaluation de la résistance in-situ du béton dans les ouvrages existantes par des tests non destructifs et des carottes.Pour ce but, un simulateur a été construit afin d’analyser les effets des facteurs les plus influents en utilisant une vaste campagne de données provenant de sources différentes (études in situ ou en laboratoire et données synthétiques générées). La première contribution de ce travail est le développement d’une nouvelle approche d’identification du modèle ‘‘bi-objectif” qui peut efficacement capturer la variabilité de la résistance mécanique en plus de la moyenne. Après avoir étudié l’effet du mode de sélection des emplacements pour les carottes, une méthode a été proposée pour sélectionner ces emplacements en fonction des mesures CND ‘‘sélection conditionnelle” qui améliore la qualité de l’évaluation sans coût supplémentaire. Une dernière innovation est l’établissement de courbes de risque qui quantifient la relation entre le nombre de carottes et la précision de l’estimation. Enfin, des recommandations ont été formulées afin de fournir des estimations plus fiables
To assess concrete strength in an existing structure, the current methodology combines nondestructive measurements (NDT) like rebound hammer or/and pulse velocity with destructive technique (cores) in order to implement a relationship ‘‘conversion model” between the compressive strength and NDT measurements. The conversion model is used to estimate the local strength value at each test location using the corresponding NDT value.Then the estimated mean strength and/or estimated strength standard deviation (concrete strength variability) values are calculated. However, the reliability of these estimated values isalways a questionable issue because of the uncertainties associated with the strength assessment based upon NDT measurements. To improve the reliability, the uncertainties must be reduced by specifying and controlling their influencing factors. Therefore, the objective of this thesis is to analyze the current assessment methodology in order to provide practical recommendations that can improve the reliability of assessing the in-situ strength in existing concrete structures by nondestructive tests and cores.To this end, a simulator was built in order to analyze the effects of the most influencing factors using a large campaign of datasets from different sources (in-situ or laboratory studies,and generated synthetic data).The first contribution of this work is the development of a new model identification approach“bi-objective” that can efficiently capture the strength variability in addition to the mean strength. After studying the effect of the way of selection the core locations, a method was proposed to select these locations depending on the NDT measurements “conditional selection” that improves the quality of assessment without additional cost. A third innovation was the development of a procedure to identify the relation between the number of cores and the accuracy of the estimation. Finally recommendations were derived in order to providemore reliable estimated values
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Škapová, Pavla. "Problematika testování stříkaných betonů." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-226742.

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The master‘s thesis focuses on testing the shotcrete prepared in laboratory conditions. The main observed properties are compresive strenght of shotcrete and modulus of elasticity. The aim is assessment of methods for measuring those parameters. The calibrating correlations for strenght characteristics of shotcrete are given by obtaining the results of used methods. The shotcrete composition, amount and type of accelerating additive as well as economic aspect of using shotcrete is also assessed.
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Shian-Shien, Lu, and 陸相賢. "Applying SVMs to improve Rebound Hammer Test." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/49309918782974917182.

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碩士
國立高雄應用科技大學
土木工程與防災科技研究所
102
Using Non-destructive testing methods to examine the compressive strength of the concrete is quite economic and feasible. The Rebound Hammer Test is one of the most popular Non-destructive testing for measuring concrete strength in the industry. However, when compare with the actual concrete strength, the Rebound Hammer Testing results have over 20% mean absolute percentage error.As a result, the CNS 10732 standard suggests Rebound Hammer Test only be used to assess the uniformity and probable strength of concrete. It could not be used for alternative method for assessing the strength of the concrete. In view of this, this research intended to use support vector machine (SVMs) as the main artificial intelligence prediction method. In addiction artificial neural networks (ANNs) and adaptive neural fuzzy inference systems (ANFIS) are applied for comparison as well. The data is collected from 838 Silver Schmidt electronic hammer lab tests to develop a prediction model and predictive analysis. Then calculate the mean absolute percentage error to determine the prediction ability of compressive strength predictive model. The objective is establish the prediction model suitable for the rebound hammer test and to improve its accuracy. The results show that the mean absolute percentage errors (MAPE) for SVMs prediction model was 6.76%, however ANNs and ANFIS models have mean absolute percentage error of 7.27% and 6.82%, all of them can effectively improve the reliability of the prediction strength. It is recommended that the artificial intelligence prediction models can be applied in the Silver Schmidt Rebound Hammer Tests to improve the prediction accuracy.
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Chen, Chin-Wen, and 陳靜文. "Applying SVMs and Ensemble Concepts to improve Rebound Hammer Test." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/06737967528786528186.

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碩士
國立高雄應用科技大學
土木工程與防災科技研究所
103
In the construction industry, using non-destructive testing (NDT) methods for examine the compressive strength of the concrete is quite economic and feasible, without damaging the structure. One of the most common NDTs for measuring the concrete compressive strength on site is The Rebound Hammer Test. Rebound hammer has some advantage like the costs are low, operate easier and convenient to carry. But, rebound hammer test estimations have an average of over 20% mean absolute percentage error when comparing to the compressive strength obtained by destructive the tests. In light of this, this research proposes using Support Vector Machine (SVM) and Bootstrap to obtain the concrete compressive strength by the rebound value from the test hammer, to develop a prediction model for concrete compressive strength estimation. This research expected upgrading the predictive ability of rebound hammer test. Research data adopt Shih-Shian Wei (2012) the 838 lab concrete Rebound Hammer tests, the data are collected to train and validate by applying the SVM and the Bootstrap model, then compare the prediction results. The results shows that the SVM model and the bootstrap model prediction results have successfully reduced the average mean absolute percentage error to 8% below. It is confirm that SVM and Bootstrap can be applied to rebound hammer test results. The research results can provide a reference, when the destructive tests unable to use. It is effectively improve the reliability of the non-destructive testing (NDT) prediction strength. Also, reduce the trouble of core-drilling methods, avoid the structure damaging and the building exterior.
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Huang, Wei-Lung, and 黃威龍. "Study on increasing the precision of concrete rebound hammer test by artificial neural network." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/60829439745387877544.

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碩士
國立嘉義大學
土木與水資源工程學系研究所
96
The main purpose of this article is to research how to increase the precision of concrete Rebound Hammer Test. There are many factors which influences the strength of concrete including amounts of coarse or fine aggregate, water-cement ratio, amounts of cement, curing period, maintenance, slump, and design strength etc. Although the national quality control system uses the compressive strength of 28 days curing cylindrical specimen as the qualified standard, the representation of the at-site specimens are still debatable. Nowadays the technologies of non-destructive inspection and instruments have been improved and become more popular. The Rebound Hammer Test has the characteristics of easy to take and acquiring results quickly, so it could replace the Drilled Specimen Test further. The test results of rebound hammer always show trends of poor data precision through regression analysis. This research studies that by the utilization of artificial neural network training increasing the precision of the Rebound Hammer Test. In this research we had collected 168 data of rebound hammer and compressive test and 48 verified data additionally. Applying different models of regression including linear, logarithmic, polynomial, power, and exponential, we had found that the bias of the logarithmic regression equation had lowest standard deviation. Its value was 24.07% and 27.36% respectively. For the sake of lowering standard deviation, in this research we utilized artificial neural network program QwikNet ver.2.23 to train and analysis the data. Firstly, by linear analysis we acquired the standard deviation of bias 13.18% and 18.69% respectively. Secondly, by non-linear analysis we acquired the standard deviation of bias 7.45% and 7.64% respectively. Comparing the three analysis results above, the artificial neural network non-linear analysis has the best result. So we have proved that the artificial neural network analysis could increase the precision of the Rebound Hammer Test.
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Book chapters on the topic "Rebound hammer test"

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Corbett, D. "Advancing the Rebound Hammer Method: A New Concrete Test Hammer." In Nondestructive Testing of Materials and Structures, 149–54. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0723-8_21.

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Kashyap, V. S., G. Sancheti, K. Arora, S. Jain, and K. Mahale. "Evaluating Compressive Strength of Concrete Comprising Nano Silica and Marble Dust Using Rebound Hammer Test." In Learning and Analytics in Intelligent Systems, 254–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42363-6_30.

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Török, Ákos. "Non-destructive Surface Strength Test—Duroskop a Forgotten Tool; Comparison to Schmidt Hammer Rebound Values of Rocks." In IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018—Volume 6, 129–35. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93142-5_18.

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Yeşilmen, S. "Evaluation of Rebound Hammer Test as a Combined Procedure Used with Drill Core Testing for Evaluation of Existing Structures." In Nondestructive Testing of Materials and Structures, 341–46. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0723-8_49.

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Conference papers on the topic "Rebound hammer test"

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SADZEVICIUS, Raimondas, Tatjana SANKAUSKIENE, and Petras MILIUS. "COMPARISON OF CONCRETE COMPRESSIVE STRENGTH VALUES OBTAINED USING REBOUND HAMMER AND DRILLED CORE SPECIMENS." In Rural Development 2015. Aleksandras Stulginskis University, 2015. http://dx.doi.org/10.15544/rd.2015.011.

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Durability of reinforced concrete structures depends on the maintenance conditions, surveillance, and well-timed repair of structures or reconstructions. Usually, the main attention falls on the durability determination based on the evaluation of change of main physical –mechanical properties, especially, on the compression strength of concrete. In this study, tests with the rebound hammer and concrete cores extracted from the existing reinforced concrete elements in hydraulic structures are presented. The comparison of strength values obtained with the rebound hammer and the concrete core specimens of reinforced concrete in hydraulic structures is carried out. The research was performed during the scientific expedition in the period of 2010–2014. The investigated objects are allocated in hydroschemes of Druskininkai, Marijampolė, Klaipėda districts. It was established that the results obtained using the non-destructive method were by 17 % higher than the ones obtained by performing the destructive test. However, it can be said that despite this fact, the non-destructive method offers simplicity and rapidity in use: test results are readily available on site and there is a possibility to test concrete strength of those structures where cores cannot be drilled due to thin-walled or densely reinforced structures.
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Susilorini, Rr M. I. Retno, Djoko Suwarno, Budi Santosa, Ludfi Hardian Putra, and Erik Kurniawan. "Rebound Hammer Test result of old repaired masonry wall using premixed mortar additive in tidal flooding prone area." In HUMAN-DEDICATED SUSTAINABLE PRODUCT AND PROCESS DESIGN: MATERIALS, RESOURCES, AND ENERGY: Proceedings of the 4th International Conference on Engineering, Technology, and Industrial Application (ICETIA) 2017. Author(s), 2018. http://dx.doi.org/10.1063/1.5042982.

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Parida, F. C., S. K. Das, A. K. Sharma, P. M. Rao, S. S. Ramesh, P. A. Somayajulu, B. Malarvizhi, and N. Kasinathan. "Sodium Exposure Tests on Limestone Concrete Used as Sacrificial Protection Layer in FBR." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89593.

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Hot sodium coming in contact with structural concrete in case of sodium leak in FBR system cause damage as a result of thermo-chemical attack by burning sodium. In addition, release of free and bound water from concrete leads to generation of hydrogen gas, which is explosive in nature. Hence limestone concrete, as sacrificial layer on the structural concrete in FBR, needs to be qualified. Four concrete blocks of dimension 600mm × 600mm × 300mm with 300mm × 300mm × 150mm cavity were cast and subjected to controlled sodium exposure tests. They have composition of ordinary portland cement, water, fine and coarse aggregate of limestone in the ratio of 1 : 0.58 : 2.547 : 3.817. These blocks were subjected to preliminary inspection by ultrasonic pulse velocity technique and rebound hammer tests. Each block was exposed for 30 minutes to about 12 kg of liquid sodium (∼ 120 mm liquid column) at 550° C in open air, after which sodium was sucked back from the cavity of the concrete block into a sodium tank. On-line temperature monitoring was carried out at strategic locations of sodium pool and concrete block. After removing sodium from the cavity and cleaning the surfaces, rebound hammer testing was carried out on each concrete block at the same locations where data were taken earlier at pre-exposed stage. The statistical analysis of rebound hammer data revealed that one of the concrete block alone has undergone damage to the extent of 16%. The loss of mass occurred for all the four blocks varied from 0.6 to 2.4% due to release of water during the test duration. Chemical analysis of sodium in concrete samples collected from cavity floor of each block helped in generation of depth profiles of sodium monoxide concentration for each block. From this it is concluded that a bulk penetration of sodium up to 30 mm depth has taken place. However it was also observed that at few local spots, sodium penetrated into concrete up to 50 mm. Cylindrical core samples of 50 mm × 150 mm long were obtained from the exposed cavity and tested for compressive strength and longitudinal ultrasonic pulse velocity (UPV). These are compared with core samples obtained from concrete cubes used as standard reference. The average reduction in UPV and compressive strength were 7% and 29% respectively indicating marginal degradation in mechanical properties of sodium-exposed concrete.
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