4.7 Article

Formulation and optimization of a phosphogypsum-fly ash-lime composite for road construction: A statistical mixture design approach

期刊

CONSTRUCTION AND BUILDING MATERIALS
卷 315, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2021.125786

关键词

Statistical modeling; Industrial by-products; Quicklime; Pavement; Durability; W; D cycles; Pozzolanic reaction; Simultaneous optimization

资金

  1. national center for scientific and technical research (CNRST) under the Excellence Scholarship Program [49UH22016]
  2. OCP Group

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The study investigated the valorization of phosphogypsum and fly ash as road construction materials through lime stabilization. Statistical analysis showed that phosphogypsum addition decreased measured responses, while fly ash and lime caused them to increase. Fly ash addition notably increased compressive strengths at early ages, while at longer curing periods, the interaction with lime and the use of phosphogypsum as a catalyst improved fly ash reactivity.
This paper investigates the valorization of phosphogypsum and fly ash by-products as a road construction material through lime stabilization. To this end, an extreme vertices design was adopted to model the compaction characteristics, mechanical performance at different curing periods and durability upon wetting/drying (W/D) cycles of the mixture. Statistical analysis of the obtained regression models showed that the measured responses decrease with phosphogypsum addition while fly ash and lime cause them to increase. The increasing effect of fly ash addition was especially noticeable on compressive strengths at early ages (7-28 days), whereas at longer curing periods (90-360 days), these were mainly governed by its interaction with lime following the activation of the pozzolanic reaction where phosphogypsum acted as a catalyst to improve fly ash reactivity. However, a negative impact of excess lime beyond a threshold has been noted. The compressive strength at 28 days combined with weight loss upon W/D cycles were used as optimization responses to detect regions of interest, within the design space, where requirements are met for a subbase utilization.

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