• Title/Summary/Keyword: compressive performance

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Performance investigation of palm kernel shell ash in high strength concrete production

  • Mosaberpanah, Mohammad A.;Amran, Y.H. Mugahed;Akoush, Abdulrahman
    • Computers and Concrete
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    • v.26 no.6
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    • pp.577-585
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    • 2020
  • By the increasing amount of waste materials, it eventually dumped into the environment and covering a larger area of the landfill which cause several environmental pollution problems. The utilization of Palm Kernal Shell Ash (PKSA) in concrete might bring a great benefit in addressing both environmental and economic issues. This article investigates the effect of PKSA as a partial cement replacement of High Strength Concrete (HSC). Several concrete mixtures were prepared with different PKSA of 0%, 10%, 20%, and 30% replaced by the cement mass. This procedure was replicated twice for the two different target mean strengths of 40 MPa and 50 MPa. The mixtures were prepared to test different fresh and hardened properties of HSC including slump test, the compressive strength of 3, 7, 14, 28, and 90 days, flexural strength of 28-days, drying shrinkage, density measurement, and sorptivity. It was observed 10% PKSA replacement as optimum percentage which reduced the drying shrinkage, sorptivity, and density and improved the late-age compressive strength of concrete.

A prediction model for strength and strain of CFRP-confined concrete cylinders using gene expression programming

  • Sema, Alacali
    • Computers and Concrete
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    • v.30 no.6
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    • pp.377-391
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    • 2022
  • The use of carbon fiber-reinforced polymers (CFRP) has widely increased due to its enhancement in the ultimate strength and ductility of the reinforced concrete (RC) structures. This study presents a prediction model for the axial compressive strength and strain of normal-strength concrete cylinders confined with CFRP. Besides, soft computing approaches have been extensively used to model in many areas of civil engineering applications. Therefore, the genetic expression programming (GEP) models to predict axial compressive strength and strain of CFRP-confined concrete specimens were used in this study. For this purpose, the parameters of 283 CFRP-confined concrete specimens collected from 38 experimental studies in the literature were taken into account as input variables to predict GEP based models. Then, the results of GEP models were statistically compared with those of models proposed by various researchers. The values of R2 for strength and strain of CFRP-confined concrete were obtained as 0.897 and 0.713, respectively. The results of the comparison reveal that the proposed GEP-based models for CFRP-confined concrete have the best efficiency among the existing models and provide the best performance.

COMPRESSIVE STRENGH OF FRP-CONFINED CONCRETE COLUMNS UNDER THE ECCENTRIC LOADS

  • H.R. Salehian;M.R. Esfahani
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.978-982
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    • 2009
  • In recent years, due to some excellent properties of fiber reinforced polymer (FRP) composites, the use of FRP sheets for strengthening the weak concrete columns have become increasingly popular. Axial loading is the basic assumption in most of the models that are presented for estimating the compression strength of confined concrete columns. However a large number of weak concrete columns in the bending frames are under the combination of both axial and flexural loads. This paper presents the results of an experimental study on the effects of eccentricity of load on the compressive strength of concrete columns confined by FRP sheets. This research shows that the eccentricity of compression load affects decreasingly the performance of confining FRP jacket in confined columns.

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Synthesis of catechol-conjugated chitosan and its application as ana dditive for cement mortar (카테콜 작용기를 함유한 키토산 고분자 혼입율에 따른 시멘트 모르타르의 특성 변화)

  • Choi, Hoe Young;Choi, Se-Jin;Ko, Haye Min
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.255-256
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    • 2022
  • We synthesized catechol-conjugated chitosan (CCC) to study its usefulness as a construction material additive in cement mortar. The degree of catechol conju-gation (DOCcat) of the synthesized CCC was determined to be approximately14% by UV-vis and 1H NMR spectroscopy. Furthermore, the hydroxyl and amine groups in CCC could play a crucial role in hydrogen bonding, metal coordination, and cross-linking processes via interaction with adducts from cement mortar. In this study, we observedanimprovement in the compressive strength and absorption rate, suggesting that CCC is a promising candidateforhigh-performance cement mortar.

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Effect of Neutralized Red Mud on the Strength Properties of Cement Paste (시멘트 페이스트의 강도특성에 미치는 중화 레드머드의 영향)

  • Kang, Hye Ju;Kang, Suk-pyo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2020.06a
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    • pp.27-28
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    • 2020
  • In this study, as a measure to recycle red mud, which is a byproduct of the Bayer Process, red mud was manufactured as liquid and recycled without drying and grinding. Previous studies have shown that mechanical performance decreases when liquid red mud is applied to cement concrete. Therefore, in this study, liquid red mud was neutralized with nitric acid and applied to cement paste to examine the properties of cement paste according to the addition of red mud. As a result, the compressive strength of 10% liquid red mud decreased by 37.7% compared to Plain, and 10% liquid red mud indicates similar strength to Plain and restores the strength.

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Prediction of concrete mixing proportions using deep learning (딥러닝을 통한 콘크리트 강도에 대한 배합 방법 예측에 관한 연구)

  • Choi, Ju-hee;Yang, Hyun-min;Lee, Han-seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.11a
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    • pp.30-31
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    • 2021
  • This study aims to build a deep learning model that can predict the value of concrete mixing properties according to a given concrete strength value. A model was created for a total of 1,291 concrete data, including 8 characteristics related to concrete mixing elements and environment, and the compressive strength of concrete. As the deep learning model, DNN-3L-256N, which showed the best performance on the prior study, was used. The average value for each characteristic of the data set was used as the initial input value. In results, in the case of 'curing temperature', which had a narrow range of values in the existing data set, showed the lowest error rate with less than 1% error based on MAE. The highest error rate with an error of 12 to 14% for fly and bfs.

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Performance Evaluation of Cement Composites Mixed with Multi-Wall Carbon Nanotube and Nanosilica (다중벽 탄소나노튜브와 나노실리카를 혼입한 시멘트 복합체의 성능 평가)

  • Kim, Seong Woo;Son, Jeong Jin;Kim, Ji-Hyun;Chung, Chul-Woo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.185-186
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    • 2023
  • Recently, a lot of nano-scale material technology development and research have been conducted in construction fields to improve the compressive strength and durability of cement-based Composites. There are some studies that have confirmed the properties and application effects of cement-based complex using each nanomaterial, but development and research using both materials are relatively limited. This study sought to confirm the effect of multi-wall carbon nanotubes (MWCNT) and nanosilica, which are representative construction nanomaterials, on the compressive strength, voids, and microstructure formation of cement. The purpose was to produce a cement composite by changing the mixing rate of the two nanomaterials, and to find the optimal mixing amount considering its mechanical and rheological properties.

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Numerical analysis for the punching shear resistance of SFRC flat slabs

  • Baraa J.M. AL-Eliwi;Mohammed S. Al Jawahery
    • Computers and Concrete
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    • v.32 no.4
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    • pp.425-438
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    • 2023
  • In this article, the performance of steel fiber-reinforced concrete (SFRC) flat slabs was investigated numerically. The influence of flexural steel reinforcement, steel fiber content, concrete compressive strength, and slab thickness were discussed. The numerical model was developed using ATENA-Gid, user-friendly software for non-linear structural analysis for the evaluation and design of reinforced concrete elements. The numerical model was calibrated based on eight experimental tests selected from the literature to validate the actual behavior of steel fiber in the numerical analysis. Then, a parametric study of 144 specimens was generated and discussed the impact of various parameters on the punching shear strength, and statistical analysis was carried out. The results showed that slab thickness, steel fiber content, and concrete compressive strength positively affect the punching shear capacity. The fib Model Code 2010 for specimens without steel fibers and the model of Muttoni and Ruiz for SFRC specimens presented a good agreement with the results of this study.

Investigating the long-term behavior of creep and drying shrinkage of ambient-cured geopolymer concrete

  • Asad Ullah Qazi;Ali Murtaza Rasool;Iftikhar Ahmad;Muhammad Ali;Fawad S. Niazi
    • Structural Engineering and Mechanics
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    • v.89 no.4
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    • pp.335-347
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    • 2024
  • This study pioneers the exploration of creep and shrinkage behavior in ambient-cured geopolymer concrete (GPC), a vital yet under-researched area in concrete technology. Focusing on the influence of sodium hydroxide (NaOH) solution concentration, the research utilizes low calcium fly ash (Class-F) and alkaline solutions to prepare two sets of GPC. The results show distinct patterns in compressive strength development and dry shrinkage reduction, with a 14 M NaOH solution demonstrating a 26.5% lower dry shrinkage than the 16 M solution. The creep behavior indicated a high initial strain within the first 7 days, significantly influenced by curing conditions and NaOH concentration. This study contributes to the existing knowledge by providing a deeper understanding of the time-dependent properties of GPC, which is crucial for optimizing its performance in structural applications.

Fluidity and strength characteristics of no-cement composite applied with ferronickel slag powder according to curing temperature (양생온도에 따른 페로니켈슬래그 미분말 적용 무시멘트 복합체의 유동성 및 강도특성)

  • Kim, Chae-Young;Yoon, Joo-Ho;Park, Jeong-Yeon;Park, Gwan-Hong;Lee, Jae-In;Choi, Se-Jin
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.193-194
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    • 2023
  • Recently, research is being conducted on geopolymers using industrial by-products as a cement substitute to reduce carbon dioxide emissions from the construction industry. Since geopolymers use industrial by-products, their performance varies depending on the type of alkali activator used, curing temperature, etc. Therefore, as part of a study to reduce carbon dioxide emissions from the construction industry, this study mixed blast furnace slag powder and ferronickel slag powder as cement substitutes, and compared and analyzed the fluidity and compressive strength of no-cement composites according to curing temperature.

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