• Title/Summary/Keyword: Estimating Compressive Strength

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Estimating Compressive Strength of High Strength Concrerte by Ultrasonic Pulse Velocity Method (초음파속도법에 의한 고강도 콘크리트의 압축강도 추정에 관한 연구)

  • Lim, Seo-Hyung;Kang, Hyun-Sik
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.5 no.3
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    • pp.123-130
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    • 2001
  • The purpose of this study is to suggest the non-destructive equation for the estimation of concrete strength by ultrasonic pulse velocity at the Age of 28day compressive strength of $600{\sim}1000kg/cm^2$. For this purpose, selected test variables were water-hinder ratio, replacement ratio of silica fume, binder content, maximum size of coarse aggregate and sand-aggregate ratio. From the results, the average increase or decrease of ultrasonic pulse velocity is 61m/sec for each 1% of moisture content. And the correlation equation between the ultrasonic pulse velocity and the compressive strength of concrete is as follows. $F_c=896.3V_p-3514$ ($R^2$ = 0.81) where, $F_c$ : compressive strength($kgf/cm^2$), $V_p$ : ultrasonic velocity(km/sec).

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An insight into the prediction of mechanical properties of concrete using machine learning techniques

  • Neeraj Kumar Shukla;Aman Garg;Javed Bhutto;Mona Aggarwal;M.Ramkumar Raja;Hany S. Hussein;T.M. Yunus Khan;Pooja Sabherwal
    • Computers and Concrete
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    • v.32 no.3
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    • pp.263-286
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    • 2023
  • Experimenting with concrete to determine its compressive and tensile strengths is a laborious and time-consuming operation that requires a lot of attention to detail. Researchers from all around the world have spent the better part of the last several decades attempting to use machine learning algorithms to make accurate predictions about the technical qualities of various kinds of concrete. The research that is currently available on estimating the strength of concrete draws attention to the applicability and precision of the various machine learning techniques. This article provides a summary of the research that has previously been conducted on estimating the strength of concrete by making use of a variety of different machine learning methods. In this work, a classification of the existing body of research literature is presented, with the classification being based on the machine learning technique used by the researchers. The present review work will open the horizon for the researchers working on the machine learning based prediction of the compressive strength of concrete by providing the recommendations and benefits and drawbacks associated with each model as determining the compressive strength of concrete practically is a laborious and time-consuming task.

Simplified Estimation of the Cohesion and Internal Friction Angle of Volcanic Intact Rocks in Jeju Island Using Uniaxial Compressive Strength and/or Brazilian Tensile Strength (일축압축강도·압열인장강도를 이용한 제주도 화산암의 점착력과 내부마찰각의 간이추정)

  • Yang, Soonbo
    • Journal of the Korean Geotechnical Society
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    • v.38 no.10
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    • pp.5-15
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    • 2022
  • In this study, to propose simplified methods for estimating the cohesion and internal friction angle of volcanic rocks in Jeju Island using uniaxial compressive strength and/or Brazilian tensile strength, the estimated values of cohesion and internal friction angle from triaxial and uniaxial compression tests and Brazilian tests were compared in terms of estimation accuracy. This study proposed simplified methods for estimating the cohesion and internal friction angle using the uniaxial compressive strength and/or Brazilian tensile strength of volcanic rocks in Jeju Island. According to the findings, among the proposed simplified methods, the method using uniaxil compressive strength was most desirable to accurately estimate the cohesion and internal friction angle of volcanic intact rocks in Jeju Island.

Prediction of Mechanical Properties of Concrete by a New Apparent Activation Energy Function (새로운 겉보기 활성에너지 함수에 의한 콘크리트의 재료역학적 성질의 예측)

  • 한상훈;김진근
    • Proceedings of the Korea Concrete Institute Conference
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    • 2000.10a
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    • pp.173-178
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    • 2000
  • New prediction model is investigated estimating splitting tensile strength and modulus of elasticity with curing temperature and aging. New prediction model is based on the model which was proposed to predict compressive strength, and splitting tensile strength and modulus of elasticity calculated by this model are compared with experimental values. New prediction model well estimated splittinge tensile strength and elastic modulus as well as compressive strength.

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Reliability Evaluation of Compressive Strength of Reinforced Concrete Members (철근 콘크리트 구조 부재의 압축강도 추정 신뢰도 평가)

  • Hong, Seong-Uk;Park, Chan-Woo;Lee, Yong-Taeg;Kim, Seung-Hun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.23 no.6
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    • pp.132-140
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    • 2019
  • In this study, a specimen composed of columns, walls, beams, and slabs was fabricated to investigate the estimated reliability using nondestructive test method for the location of structural members of reinforced concrete single layer structures. And for accurate analysis in the comparison process with the existing estimation formula, we try to analyze the reliability through statistical approach by using error rate comparison and Confidence interval estimation. As a result, The average error rate of the core test was 18.8% compared with the result of estimating the compressive strength using the ultrasonic pulse velocity method. The average error rate of the core test results compared with the result of estimating the compressive strength using the rebound hardness method was 20.1%, confirming the field applicability. it is judged that the reliability of the compressive strength estimation can be derived from the wall member to make a quick and efficient structure safety diagnosis using the ultrasonic pulse velocity method. In addition, it is judged that the reliability of the compressive strength estimation can be derived from the beam member to make a quick and efficient structure safety diagnosis using the rebound hardness method.

Prediction model for the hydration properties of concrete

  • Chu, Inyeop;Amin, Muhammad Nasir;Kim, Jin-Keun
    • Computers and Concrete
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    • v.12 no.4
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    • pp.377-392
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    • 2013
  • This paper investigates prediction models estimating the hydration properties of concrete, such as the compressive strength, the splitting tensile strength, the elastic modulus,and the autogenous shrinkage. A prediction model is suggested on the basis of an equation that is formulated to predict the compressive strength. Based on the assumption that the apparent activation energy is a characteristic property of concrete, a prediction model for the compressive strength is applied to hydration-related properties. The hydration properties predicted by the model are compared with experimental results, and it is concluded that the prediction model properly estimates the splitting tensile strength, elastic modulus, and autogenous shrinkage as well as the compressive strength of concrete.

Correlations between the Impedance and Compressive Strength of Hardened Cement According to the Aggregate Type

  • Hojin Kim;Jinju Kim;Sungyu Park;Je Hyun Bae
    • Journal of Electrochemical Science and Technology
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    • v.15 no.2
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    • pp.242-252
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    • 2024
  • To date, methods used to assess the interfacial transition zone (ITZ), which represents the boundary between the aggregate and paste inside concretes, have primarily relied on destructive tests, and non-destructive tests has received little attention until recently. This study assessed the interfaces of concretes with lightweight aggregates based on electrochemical impedance spectroscopy (EIS) for high-strength concretes and examined the possibility of estimating the compressive strength of concretes through non-destructive testing using EIS. The experimental results revealed that the impedance of the hardened cement increased with increasing compressive strength and aggregate density. In particular, when the results of impedance measurement were displayed as a Nyquist plot, the intercept of the x-axis depicting the effective conductivity was proportional to the compressive strength. Furthermore, an equivalent circuit was selected to interpret the correlation between cement aggregates and impedance. Consequently, the compressive strength was found to increase with the value of the resistances of the electrolyte filled in continuous pores in the cement aggregate. And, the pores formed in the ITZ affect this value. The resistance at the ITZ for different aggregates was also obtained, and it was found that the resistance was consistent with the results predicted by SEM images of the ITZ and correlated with the strength of the concretes. The proposed method can be used as a way to easily determine the strength of cement according to differences in aggregate.

Application on the Prediction Model of the Compressive Strength of Concrete by Maturity Method (적산온도에 의한 콘크리트 압축강도 추정모델의 적용성 검토)

  • Khil, Bae-Su;Kwon, Young-Jin;Nam, Jae-Hyun;Kim, Moo-Han
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.3 no.2
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    • pp.177-183
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    • 1999
  • The major object of this study is to investigate experimentally the experimental equation by the non-destructive testing methods of ultrasonic pulse velocity, rebound number, combined method of ultrasonic pulse velocity and rebound number, maturity which are applicable to the evaluation of compressive strength of concrete at early ages. Also test result of mix are statistically analyzed to infer the correlation coefficient between the maturity and the compressive strength of concrete. The results show good application of Logistic curve for estimating strength development under various curing temperature. The relation between ultrasonic pulse velocity, rebound number, combined method of ultrasonic pulse velocity and rebound number and compressive strength of concrete have low correlation coefficient, but maturity method show good correlation coefficient.

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Effect of Curing Temperature and Aging on the Mechanical Properties of Concrete (II) -Evaluation of Prediction Models- (콘크리트의 재료역학적 성질에 대한 양생온도와 재령의 효과(II) -예측 모델식을 중심으로-)

  • 한상훈;김진근;양은익
    • Journal of the Korea Concrete Institute
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    • v.12 no.6
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    • pp.35-42
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    • 2000
  • In paper I, the relationships between compressive strength and splitting tensile strength or modulus of elasticity were proposed. In this paper, new prediction model is investigated from estimating splitting tensile strength and modulus of elasticity with curing temperature and aging without compressive strength. New prediction model is based on the model which was proposed to predict compressive strength, and splitting tensile strength and modulus of elasticity calculated by this model are compared with experimental values of paper I. To evaluate in-situ applicability of the model, strength and modulus of elasticity tested with variable temperatures are estimated by the prediction model. The prediction model reasonably estimates the strength and the modulus of elasticity of type I and V cement concretes tested in paper I and experimental results with variable temperature tested in this paper.

A Study on Early Evaluation Method of Durability of PC Concrete According to the Accelerated Curing Conditions (촉진양생조건에 따른 PC콘크리트의 내구성 조기 평가기법 연구)

  • 김관호;박광수;신수균;이준구;장문기
    • Proceedings of the Korea Concrete Institute Conference
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    • 2002.05a
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    • pp.169-174
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    • 2002
  • We can consider that the study on early evaluation of compressive strength and durability of concrete is useful to raise safety of quality control of concrete. In this paper, was proposed to method early to predict strength and durability of concrete with parameter, such as Water/cement(W/C) ratio and steam curing conditions. Through analyzing the relationship between the compressive strength and the amount of chloride penetration into concrete specimens, a new formula early estimating durability of the concrete structure was suggested.

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