Response Surface Methodology-Based Optimization of Bacterial Cell Concentration for Microbial Concrete

被引:3
|
作者
Mondal, Sandip [1 ]
Ghosh, Aparna Dey [1 ]
机构
[1] Indian Inst Engn Sci & Technol, Dept Civil Engn, Sibpur 711103, Howrah, India
关键词
Microbial concrete; RSM; Optimization; Bacterial cell concentration; Water; cement (w; c) ratio; COMPRESSIVE STRENGTH; CHLORIDE PERMEABILITY; WATER-ABSORPTION; CARBONATE PRECIPITATION; BACILLUS-MEGATERIUM; CALCIUM-CARBONATE; FLY-ASH; DURABILITY; AGGREGATE; STRAIN;
D O I
10.1007/s40996-021-00610-1
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Microbial concrete has high potential for superior strength and durability, provided the optimal combination of bacterial cell concentration and water/cement (w/c) ratio is used. Despite there being a considerable volume of the literature on microbial concrete, no work has so far dealt with the prediction of compressive strength and water absorption, the most essential properties of concrete, at different levels of bacterial concentrations and w/c ratios. In addition, there has been no investigation on the optimization of bacterial concentration and w/c ratio with respect to these properties, which is very important from the microbial concrete mix design point of view. The present work addresses these issues and develops models to predict the compressive strength and water absorption of mortar mix within a range of commonly used w/c ratios, namely 0.40, 0.45 and 0.50, and cell concentrations of Bacillus subtilis, namely 10(3), 10(5) and 10(7) cells/ml of water, to circumvent detailed case-specific experimental investigation. This is achieved by applying response surface methodology using the Design-Expert software to experimental data obtained for nine combinations of w/c ratios and bacterial cell concentrations. Analysis of variance (ANOVA) is carried out to acquire simplified updated models. Optimal values of cell concentration and w/c ratio that maximize mortar compressive strength and minimize its water absorption are obtained, which lies between 10(5.719) and 10(5.8) cells/ml at w/c ratio of 0.40. Further, the optimal cell concentration for a preset w/c ratio is provided, which is highly pertinent from the practical application point of view. Finally, a microstructure analysis is carried out to offer insight into the obtained optimal cell concentrations.
引用
收藏
页码:1087 / 1102
页数:16
相关论文
共 50 条
  • [1] Response Surface Methodology-Based Optimization of Bacterial Cell Concentration for Microbial Concrete
    Sandip Mondal
    Aparna Dey Ghosh
    Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2022, 46 : 1087 - 1102
  • [2] Response surface methodology-based multi-nozzle optimization for electrospray cooling
    Yakut, Ridvan
    APPLIED THERMAL ENGINEERING, 2024, 236
  • [3] Response surface methodology-based improvement of the yield and differentiation of properties of bacterial cellulose by metabolic enhancers
    Cielecka, Izabela
    Ryngajllo, Malgorzata
    Maniukiewicz, Waldemar
    Bielecki, Stanislaw
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2021, 187 : 584 - 593
  • [4] Maximization of uricase production in a column bioreactor through response surface methodology-based optimization
    Taghizadeh, Mohammad Hossein
    Khajeh, Khosro
    Nasirpour, Niloofar
    Mousavi, Seyyed Mohammad
    BIOFABRICATION, 2024, 16 (03)
  • [5] Response surface methodology-based optimization of lipase-catalyzed triolein hydrolysis in hexane
    Sinkuniene, Dovile
    Bendikiene, Vida
    Juodka, Benediktas
    ROMANIAN BIOTECHNOLOGICAL LETTERS, 2011, 16 (01): : 5891 - 5901
  • [6] Response surface methodology-based optimization of hairy roots cultures for in vitro AM production
    Priya, P. Vijaya
    Kumutha, K.
    Subhashini, R.
    Renuka, R.
    Sivakumar, T.
    Kannan, P.
    PLANT SCIENCE TODAY, 2024, 11 (04): : 1331 - 1340
  • [7] Vechur cow milk yoghurt: response surface methodology-based process optimization and storage studies
    Krishna, Ammiti Murali
    James, Ligimol
    Beena, Athrayil Kalathil
    Rajakumar, Sujjalur Nagesha Rao
    Mercey, Kollannur Aippunny
    JOURNAL OF DAIRY RESEARCH, 2024, 91 (03) : 349 - 357
  • [8] Response surface methodology-based optimization of glucose acylation bio-catalyzed by immobilized lipase
    Choudhry, Ayoub Rashid
    Mushtaq, Muhammad
    Adnan, Ahmad
    Syed, Quratulain
    BIOCATALYSIS AND BIOTRANSFORMATION, 2017, 35 (04) : 238 - 248
  • [9] Response surface methodology-based approach to CNC drilling operations
    Onwubolu, GC
    Kumar, S
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2006, 171 (01) : 41 - 47
  • [10] Response surface methodology-based characterization and optimization of fibre reinforced cemented tailings backfill with Slag
    Sun, Kai
    Fall, Mamadou
    INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT, 2023, 37 (10) : 735 - 759