Predict the modelling of cement concrete strength using Taguchi and ANOVA method

被引：0

作者：

Venkatesh, Butti. ^{[1
]}

Sivakumar, R. ^{[2
]}

Vijayakumar, S. ^{[3
]}

Satheesh kumar, P.S. ^{[4
]}

Sri, M. Naga Swapna ^{[5
]}

Pradeep, A. ^{[6
]}

机构：

[1] Department of Civil Engineering, Shri Vishnu Engineering College for Women (Autonomous), Andhra Pradesh, Bhimavaram, West Godavari

[2] Department of Chemistry, PSNA College of Engineering and Technology, Dindigul

[3] Department of Mechanical Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Andhra Pradesh, Odalarevu

[4] Department of Physics, NPR College of Engineering and Technology, Tamilnadu, Natham, Dindigul

[5] Department of Mechanical Engineering, P V P Siddhartha Institute of Technology, Vijayawada

[6] Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai

来源：

Interactions | 2024年 / 245卷 / 01期

关键词：

And ANOVA; Cement; Concrete; Fly ash; Optimization; Taguchi;

D O I：

10.1007/s10751-024-02133-3

中图分类号：

学科分类号：

摘要：

An experimental study is carried out to the mix proportions of the concrete by using Taguchi method. The experiments have been done using an L9 Orthogonal Array with four parameters having three levels. The selected parameters factors are cement (CE), Mixture of medical waste and fly ash (MF), Water cement ratio (WC) and stone dust (ST). the compressive strength is investigated on the nine prepared samples. Taguchi analysis was employed to find the optimal mix using MINITAB-18 software. Analysis of Variance (ANOVA) results revealed that Cement is best contribution variable (55.1%), followed by Mixture of medical waste and fly ash (29.6%), stone dust (9.1%) and Water cement ratio (4.5%) which improve the compressive strength. A residual analysis was conducted to assess the relationship between the experimental and predicted values for the response variable and regression Equation is used to predict the compressive strength value based on the input factors. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

引用

共 50 条

[31] Using particle composition of fly ash to predict concrete strength and electrical resistivity
Kim, Taehwan
Ley, M. Tyler
Kang, Shinhyu
Davis, Jeffrey M.
Kim, Seokhyeon
Amrollahi, Pouya
CEMENT & CONCRETE COMPOSITES, 2020, 107
[32] Predictive modeling of concrete compressive strength based on cement strength class
Papadakis, V. G.
Demis, S.
COMPUTERS AND CONCRETE, 2013, 11 (06) : 587 - 602
[33] An analysis of acetic and sulphuric acids reaction in concrete elements with taguchi optimization method
Sabarish, K., V
Parvati, T. S.
MATERIALS TODAY-PROCEEDINGS, 2021, 39 : 42 - 47
[34] CNC turning process parameters optimization on Aluminium 6082 alloy by using Taguchi and ANOVA
Palaniappan, S. P.
Muthukumar, K.
Sabariraj, R. V.
Kumar, S. Dinesh
Sathish, T.
MATERIALS TODAY-PROCEEDINGS, 2020, 21 : 1013 - 1021
[35] Optimization of electrodeposited Co-Ag coatings microhardness using Taguchi and ANOVA methods
Kirati, Ouarda
Moumeni, Hayet
Nemamcha, Abderrafik
Rehspringer, Jean Luc
MATERIALS RESEARCH EXPRESS, 2019, 6 (08)
[36] STUDY ON PARAMETERS INFLUENCING THE PROPERTIES OF SELF COMPACTING CONCRETE USING TAGUCHI OPTIMIZATION METHOD
Jaganathan, V
Chinnaraju, K.
REVISTA ROMANA DE MATERIALE-ROMANIAN JOURNAL OF MATERIALS, 2021, 51 (04): : 558 - 563
[37] Influence of various parameters on strength and absorption properties of fly ash based geopolymer concrete designed by Taguchi method
Mehta, Ankur
Siddique, Rafat
Singh, Bhanu Pratap
Aggoun, Salima
Lagod, Grzegorz
Barnat-Hunek, Danuta
CONSTRUCTION AND BUILDING MATERIALS, 2017, 150 : 817 - 824
[38] Application of Machine Learning Approaches to Predict the Strength Property of Geopolymer Concrete
Cao, Rongchuan
Fang, Zheng
Jin, Man
Shang, Yu
MATERIALS, 2022, 15 (07)
[39] A review analysis of cement concrete strength using sea water
Kumar, G. B. Ramesh
Kesavan, V
MATERIALS TODAY-PROCEEDINGS, 2020, 22 : 983 - 986
[40] Optimizing the design of sintered fly ash light weight concrete by Taguchi and ANOVA analysis
Dhemla, Pankaj
Somani, Prakash
Swami, B. L.
Gaur, Arun
MATERIALS TODAY-PROCEEDINGS, 2022, 62 : 495 - 503

← 1 2 3 4 5 →