Smartphone-based study of cement-activated charcoal coatings for removal of organic pollutants from water

Huang, Jueru; Koroteev, Dmitry D.; Zhang, Ming

doi:10.1016/j.conbuildmat.2021.124034

Cited by 11 publications

(2 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Te AC has a propensity to decrease thermal conductivity (1.52 W/mK) and increase specifc heat in the composite (0.84 KJ/kgK) due to the lower density and heat capacity of parafn (2 KJ/kgK) used in the research [37]. Te AC is also used to remove organic contaminants from the water, with methylene blue and rhodamine adsorptive removal rates of 80% and 71%, respectively [38].…”

Section: Introductionmentioning

confidence: 99%

Concurrent Prospects to Develop Activated Charcoal Reinforced Self-Sensing Cement Composites for Structural Health Monitoring Applications

Dinesh¹,

Suji

Pichumani

2023

Structural Control and Health Monitoring

View full text Add to dashboard Cite

This research examines the electromechanical characteristics of self-sensing cement composite (SCC) containing activated charcoal (AC) at various concentrations (5%, 10%, 15%, 20%, and 25%). The developed composite is placed in various zones in the beam to monitor beam behaviour, as well as in the column center to monitor column deflection. The research reveals that AC reduced the compressive strength and resistivity of cement composites by generating local hydration and carbon accumulation. The performance index approach optimizes AC concentrations at 25% and 20% without and with 10% silica fume (SF), respectively. The embedded SCC has monitored the deflection of beams and columns with a maximum correlation between electrical resistivity and deflection at 99% and 96%, respectively. According to the findings, the AC can generate SCC, which might be utilized to monitor the deflection of beams and columns.

show abstract

Section: Introductionmentioning

confidence: 99%

Concurrent Prospects to Develop Activated Charcoal Reinforced Self-Sensing Cement Composites for Structural Health Monitoring Applications

Dinesh¹,

Suji

Pichumani

2023

Structural Control and Health Monitoring

View full text Add to dashboard Cite

show abstract

“…It is well-known that the as a mathematical and statistical approach, response surface methodology (RSM) has been widely applied to investigate the influence of independent variables and the interaction among those independent variables, which has demonstrated a great potential for experimental optimisation, particularly in optimising the rheological parameters, hydration and mechanical properties of cementitious materials [35][36][37][38]. Among different RSM approaches, Box-Behnken design (BBD), a rotatable second-order design developed from the three-level factorial design, is often used as a tool for investigation of the influence of variables, in particular, the cases with interactions among variables, due to fewer testing requirements, which has been applied in cement and concrete research [39]. Therefore, considering the unpredictable interactions among the various variables, the BBD provides the potential to study the self-healing performance of PMMA/epoxy microcapsules in cementitious materials under the synergistic effect of various variables.…”

Section: Introductionmentioning

confidence: 99%

Performance-Based Evaluation of Healing Efficiency on Mechanical Properties of Self-Healing Cementitious Materials Incorporated with PMMA/Epoxy Microcapsule

Ren

Liu

et al. 2022

Polymers

View full text Add to dashboard Cite

In this study, based upon the investigation of its effect on workability and the mechanical property of cementitious materials, the Box–Behnken design was adopted to establish models describing self-healing performance on mechanical properties of cementitious materials with polymethylmethacrylate (PMMA)/epoxy microcapsule in terms of healing rate of peak strength (Y1), the recovery rate of peak strength (Y2), the healing rate of Young’s modulus (Y3), the recovery rate of Young’s modulus (Y4), the healing rate of peak strain (Y5), and recovery rate of peak strain (Y6). This was performed under the influence of the four factors, including microcapsule size (X1), microcapsule content (X2), pre-loading (X3), and curing age (X4). The results showed the four factors significantly affect the healing rate and recovery rate of the peak strength, Young’s modulus, and peak strain, except the healing rate on peak strain. Moreover, the interaction between the factors showed some influence as well. The numerically optimised values of X1, X2, X3, and X4 are 203 nm, 5.59%, 43.56%, and 21 days, respectively, and the self-healing cementitious materials with desirable mechanical characteristics (Y1 63.67%, Y2 145.22%, Y3 40.34%, Y4 132.22%, Y5 27.66%, and Y6 133.84%) with the highest desirability of 0.9050 were obtained. Moreover, the porosity of the specimen confirmed the healing performance of PMMA/epoxy microcapsules in cementitious materials.

show abstract

Quick and hassle-free smartphone’s RGB-based color to photocatalytic degradation rate assessment of malachite green dye in water by fluorescent Zr–N–S co-doped carbon dots

Laddha

Yadav

Agarwal

2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

Smartphone-based study of cement-activated charcoal coatings for removal of organic pollutants from water

Cited by 11 publications

References 52 publications

Concurrent Prospects to Develop Activated Charcoal Reinforced Self-Sensing Cement Composites for Structural Health Monitoring Applications

Concurrent Prospects to Develop Activated Charcoal Reinforced Self-Sensing Cement Composites for Structural Health Monitoring Applications

Performance-Based Evaluation of Healing Efficiency on Mechanical Properties of Self-Healing Cementitious Materials Incorporated with PMMA/Epoxy Microcapsule

Quick and hassle-free smartphone’s RGB-based color to photocatalytic degradation rate assessment of malachite green dye in water by fluorescent Zr–N–S co-doped carbon dots

Contact Info

Product

Resources

About