Safe disposal of coal bottom ash by solidification and stabilization techniques-Reference-Cited by-同舟云学术

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Safe disposal of coal bottom ash by solidification and stabilization techniques

Published:2019-02 Issue: Volume:197 Page:705-715
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Hashemi Sajedeh Sadat Ghazizadeh,Mahmud Hilmi Bin,Ghuan Tan Chee,Chin Ang Bee,Kuenzel Carsten,Ranjbar Navid

Funder

University of Malaya, Malaysia

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference54 articles.

1. Cenospheres: a review;Ranjbar;Fuel,2017

2. Microstructure and properties of concrete using bottom ash and waste foundry sand as partial replacement of fine aggregates;Aggarwal;Constr. Build. Mater.,2014

3. Microstructural characterization and mechanical properties of bottom ash mortar;Hashemi;J. Cleaner Prod.,2018

4. Risk assessment of bottom ash from fuel oil power plant of Italy: mineralogical, chemical and leaching characterization;Di Bella;Environ. Earth Sci.,2018

5. Investigation of coal bottom ash and fly ash in concrete as replacement for sand and cement;Rafieizonooz;Constr. Build. Mater.,2016

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1. Bottom ash as a solid waste of the palm oil industry turned into a high-value cement replacement for sustainable cement-based materials;Journal of Material Cycles and Waste Management;2024-09-11

2. Evaluación de un residuo de la combustión de carbón como reemplazo parcial de arena en la producción de ladrillos cerámicos;Tecnura;2024-07-26

3. http://www.pjaec.pk/index.php/pjaec/article/view/1567;Pakistan Journal of Analytical & Environmental Chemistry;2024-06-28

4. Towards increased adoption of furnace bottom ash as sustainable building materials: Characterization, standardization, and applications;Journal of Building Engineering;2024-04

5. Experimental Studies and Predictive Analysis of Compressive Strength of Pulverized Bottom Ash Through Machine Learning Model;2024

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