Cover Image

Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology

Fly ash-based geopolymer binders have been identified as one of the alternatives to the Ordinary Portland Cement (OPC), which qualify the criteria of green construction material. In the process of enhancement of the properties of geopolymer; engineered geopolymer composite (EGC) is a recent developm...

Full description

Saved in:
Bibliographic Details
Main Authors: Zahid, M., Shafiq, N., Isa, M.H., Gil, L.
Format: Article
Published: Elsevier Ltd 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048168812&doi=10.1016%2fj.jclepro.2018.05.158&partnerID=40&md5=cc42e08817366bc7c3f3f15a1988b758
http://eprints.utp.edu.my/21427/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.21427
record_format eprints
spelling my.utp.eprints.214272018-10-23T01:16:50Z Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology Zahid, M. Shafiq, N. Isa, M.H. Gil, L. Fly ash-based geopolymer binders have been identified as one of the alternatives to the Ordinary Portland Cement (OPC), which qualify the criteria of green construction material. In the process of enhancement of the properties of geopolymer; engineered geopolymer composite (EGC) is a recent development that is classified as the high-performance fiber reinforced geopolymer matrix. The philosophy of the development of EGC is to achieve high compressive strength and ductility. In this paper, statistical models are developed to predict the mechanical and post-cracking properties of EGC using Response Surface Methodology (RSM). In this regard, effects of three principal variables; molarity of sodium hydroxide, sodium silicate to sodium hydroxide ratio, and curing temperature on the properties of fresh and hardened EGC (setting time, compressive strength, elastic modulus, flexural strength, flexural toughness, ductility index, tensile strength, tensile first crack strength and tensile strain capacity) were investigated. All models are found significant because, and the difference between predicted R2 and adjustable R2 was found less than 0.2. The optimized mixture proportion was assessed using multi-objective optimization technique as discussed in the RSM literature. Finally, an experimental program was performed to validate the optimized mixture proportion. The predicted and experimental results were found in a close agreement because the variation between the predicted and the experimental results was obtained less than 5. The proposed method can be performed for any objective value of the EGC property with desirability almost equal to one, improving the yield, the reliability of the product and the processes. © 2018 Elsevier Ltd Elsevier Ltd 2018 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048168812&doi=10.1016%2fj.jclepro.2018.05.158&partnerID=40&md5=cc42e08817366bc7c3f3f15a1988b758 Zahid, M. and Shafiq, N. and Isa, M.H. and Gil, L. (2018) Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology. Journal of Cleaner Production, 194 . pp. 483-498. http://eprints.utp.edu.my/21427/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Fly ash-based geopolymer binders have been identified as one of the alternatives to the Ordinary Portland Cement (OPC), which qualify the criteria of green construction material. In the process of enhancement of the properties of geopolymer; engineered geopolymer composite (EGC) is a recent development that is classified as the high-performance fiber reinforced geopolymer matrix. The philosophy of the development of EGC is to achieve high compressive strength and ductility. In this paper, statistical models are developed to predict the mechanical and post-cracking properties of EGC using Response Surface Methodology (RSM). In this regard, effects of three principal variables; molarity of sodium hydroxide, sodium silicate to sodium hydroxide ratio, and curing temperature on the properties of fresh and hardened EGC (setting time, compressive strength, elastic modulus, flexural strength, flexural toughness, ductility index, tensile strength, tensile first crack strength and tensile strain capacity) were investigated. All models are found significant because, and the difference between predicted R2 and adjustable R2 was found less than 0.2. The optimized mixture proportion was assessed using multi-objective optimization technique as discussed in the RSM literature. Finally, an experimental program was performed to validate the optimized mixture proportion. The predicted and experimental results were found in a close agreement because the variation between the predicted and the experimental results was obtained less than 5. The proposed method can be performed for any objective value of the EGC property with desirability almost equal to one, improving the yield, the reliability of the product and the processes. © 2018 Elsevier Ltd
format Article
author Zahid, M.
Shafiq, N.
Isa, M.H.
Gil, L.
spellingShingle Zahid, M.
Shafiq, N.
Isa, M.H.
Gil, L.
Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology
author_facet Zahid, M.
Shafiq, N.
Isa, M.H.
Gil, L.
author_sort Zahid, M.
title Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology
title_short Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology
title_full Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology
title_fullStr Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology
title_full_unstemmed Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology
title_sort statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology
publisher Elsevier Ltd
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048168812&doi=10.1016%2fj.jclepro.2018.05.158&partnerID=40&md5=cc42e08817366bc7c3f3f15a1988b758
http://eprints.utp.edu.my/21427/
_version_ 1738656287944605696
score 13.211869

Similar Items