NDLI: Investigations on the development of powder concrete with nano-SiO$

Content Provider	Springer Nature Link
Author	Jo, Byung Wan Kim, Chang Hyun Lim, Jae Hoon
Copyright Year	2007
Abstract	The nano scale of particles can result in dramatically improved or different properties from conventional grain-size materials of the same chemical composition. Therefore, it is practical to add nano-silica in particle form with 99.9% of SiO$_{2}$ in nano scale to improve the characteristics of cement mortar. The compressive strengths of cement mortar were evaluated at various water-cementitious ratio. Five different water-cementitious ratios were used including, 0.23, 0.25, 0.32, 0.35, and 0.48 and four contents of nano-SiO$_{2}$ particles, 3%, 6%, 9%, and 12% by weight of cement. The compressive strength of cement mortar with the addition of silica fume were also evaluated at w/cm ratio of 0.48 to compare with mortar containing nano-SiO$_{2}$ particles and three contents of silica fume were: 5%, 10% and 15% by weight of cement. The experimental results show that the compressive strengths of mortars with nano-SiO$_{2}$ particles were all higher than those of mortars containing silica fume at 7 and 28 days. It was demonstrated that the nano-particles were more valuable in enhancing strength than silica fume. This paper also analyzed some available examinations to monitor the hydration progress continuously, such as SEM observation, residual quantity test for Ca(OH)$_{2}$ and the rate of heat evolution. The results of the examinations indicate that the SiO$_{2}$ in nano scale behave not only as a filler to improve the microstructure, but also as an activator to promote pozzolanic reactions.
Starting Page	37
Ending Page	42
Page Count	6
File Format	PDF
ISSN	12267988
Journal	KSCE Journal of Civil Engineering
Volume Number	11
Issue Number	1
e-ISSN	19763808
Language	English
Publisher	Korean Society of Civil Engineers
Publisher Date	2007-01-01
Publisher Place	Seoul
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	nano-SiO$_{2}$ compressive strength micro-structure pozzolanic reactions Civil Engineering Industrial Pollution Prevention Automotive and Aerospace Engineering, Traffic Geotechnical Engineering
Content Type	Text
Resource Type	Article
Subject	Civil and Structural Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Application of neural networks for estimation of concrete strength

Mechanical properties and microstructure of reactive powder concrete using ternary pozzolanic materials at elevated temperature

A prediction on mix proportion factor and strength of concrete using neural network

Experimental study on strength gaining characteristics of concrete using Portland Composite Cement

Simulation of rutting profiles using a viscoplastic model

Effect of pore size distribution on the qualities of recycled aggregate concrete

Assessment of concrete compressive strength prediction models

Characteristics of friction between concrete slab and base

Estimation of the compressive strength of concrete under point load and its approach to strength criterions

Investigations on the development of powder concrete with nano-SiO$_{2}$ particles

Similar Documents

Application of neural networks for estimation of concrete strength

Mechanical properties and microstructure of reactive powder concrete using ternary pozzolanic materials at elevated temperature

A prediction on mix proportion factor and strength of concrete using neural network

Experimental study on strength gaining characteristics of concrete using Portland Composite Cement

Simulation of rutting profiles using a viscoplastic model

Effect of pore size distribution on the qualities of recycled aggregate concrete

Assessment of concrete compressive strength prediction models

Characteristics of friction between concrete slab and base

Estimation of the compressive strength of concrete under point load and its approach to strength criterions

Investigations on the development of powder concrete with nano-SiO$_{2}$ particles