Machine Learning Applications in Industrial Solid Ash
In: Woodhead Publishing Series in Civil and Structural Engineering Series
Front Cover -- Machine Learning Applications in Industrial Solid Ash -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- 1 Industrial solid ashes generation -- 1.1 Introduction -- 1.2 Making and types of industrial solid ashes -- 1.2.1 Coal ashes -- 1.2.2 Municipal solid waste -- 1.2.3 Biomass -- 1.3 Production amounts of industrial solid ashes -- 1.3.1 Coal ashes -- 1.3.2 Municipal solid waste -- 1.3.3 Biomass -- References -- 2 Properties of industrial solid ashes -- 2.1 Introduction -- 2.2 Characteristics of coal ashes -- 2.2.1 Coal fly ash -- 2.2.1.1 Physical features -- 2.2.1.2 Mineral features -- 2.2.1.3 Chemical features -- 2.2.1.4 Classification -- 2.2.2 Coal bottom ash -- 2.2.2.1 Physical features -- 2.2.2.2 Chemical/mineralogical features -- 2.3 Characteristics of MSW bottom/fly ash -- 2.3.1 MSW bottom ash -- 2.3.1.1 Physical properties -- 2.3.1.2 Chemical features -- 2.3.1.3 Mineralogical features -- 2.3.2 MSW fly ash -- 2.3.2.1 Physical properties -- 2.3.2.2 Chemical features -- 2.3.2.3 Mineralogical features -- 2.4 Characteristics of biomass bottom/fly ash -- References -- 3 Ash management, recycling, and sustainability -- 3.1 Introduction -- 3.2 Management of CFA and CBA -- 3.2.1 Hazards of CFA and CBA -- 3.2.2 Application and utilization of CFA and CBA -- 3.2.2.1 Cement and concrete -- 3.2.2.2 Ceramic industry -- 3.2.2.3 Brick production -- 3.2.2.4 Road construction -- 3.2.2.5 Soil amelioration -- 3.2.2.6 Zeolites -- 3.2.2.7 Environmental protection (absorbent) -- 3.3 MSW bottom ash and fly ash -- 3.3.1 Cement production -- 3.3.2 Concrete -- 3.3.3 Road pavement -- 3.3.4 Embankment -- 3.3.5 Soil stabilization -- 3.3.6 Ceramic and glass -- 3.4 Biomass bottom/fly ashes -- References -- 4 Emerging innovative techniques for ash management -- 4.1 Introduction -- 4.2 Geopolymer -- 4.3 Recovery of REEs.