2021
DOI: 10.1016/j.jclepro.2021.128554
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Life cycle assessment multi-objective optimization and deep belief network model for sustainable lightweight aggregate concrete

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Cited by 46 publications
(14 citation statements)
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“…Ke et al proposed a procedure for determining the segregation index (SI Ke ) of concretes [28,38] with the ratio of densities measured in the same specimen (of the top sectionρ top -and the bottom section-ρ bottom ) as can be seen in Equation (1).…”
Section: Methods For Measuring the Segregation Through Image Analysis In Concretesmentioning
confidence: 99%
See 1 more Smart Citation
“…Ke et al proposed a procedure for determining the segregation index (SI Ke ) of concretes [28,38] with the ratio of densities measured in the same specimen (of the top sectionρ top -and the bottom section-ρ bottom ) as can be seen in Equation (1).…”
Section: Methods For Measuring the Segregation Through Image Analysis In Concretesmentioning
confidence: 99%
“…Lightweight aggregate concrete (LWAC) incorporates lightweight aggregates (LWA) into its mix and allows flexibility in the design, providing many advantages. There has been a rapidly growing demand for LWAC owing to its low weight, which reduces dead loads sustained by structural elements, reducing costs of foundation and seismic loads [1] and improving permeability [2]. Additionally, LWAC has favourable effects on the thermal properties due to its density, which provides better thermal insulation and fire resistance [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…The outcomes have permitted us to conclude that fly ash (FA) is suitable for several applications in the construction sector [ 17 , 18 , 19 ]. MSWI-FA use in the production of lightweight concrete blocks is one of the most effective methods for reducing environmental impacts [ 20 , 21 , 22 , 23 ].…”
Section: Introductionmentioning
confidence: 99%
“…may lead to a large number of scenarios with combinations of numerous alternatives. An approach to overcome these limitations is integrating HLCA and economic performance within a multiobjective optimization (MOO) framework. , …”
Section: Introductionmentioning
confidence: 99%