Design of Alkali-Activated Slag-Fly Ash Concrete Mixtures Using Machine Learning
Article
Article Title | Design of Alkali-Activated Slag-Fly Ash Concrete Mixtures |
---|---|
ERA Journal ID | 4858 |
Article Category | Article |
Authors | Gunasekara, C. (Author), Lokuge, W. (Author), Keskic, M. (Author), Raj, N. (Author), Law, D. W. (Author) and Setunge, S. (Author) |
Journal Title | ACI Materials Journal |
Journal Citation | 117 (5), pp. 263-278 |
Number of Pages | 17 |
Year | 2020 |
Place of Publication | United States |
ISSN | 0889-325X |
1944-737X | |
Digital Object Identifier (DOI) | https://doi.org/10.14359/51727019 |
Web Address (URL) | https://www.concrete.org/publications/internationalconcreteabstractsportal.aspx?m=details&ID=51727019 |
Abstract | So far, the alkali activated concrete has primarily focused on the effect of source material properties and ratio of mix proportions on the compressive strength development. A little research has focused on developing a standard mix design procedure for alkali activated concrete for a range of compressive strength grades. This study developed a standard mix design procedure for alkali activated slag‒fly ash (low calcium, class F) blended concrete using two machine learning techniques, Artificial Neural Networks (ANN) and Multivariate Adaptive Regression Spline (MARS). The algorithm for the predictive model for concrete mix design was developed using MATLAB programming environment by considering the five key input parameters; water/solid ratio, alkaline activator/binder ratio, Na-Silicate /NaOH ratio, fly ash/slag ratio and NaOH molarity. The targeted compressive strengths ranging from 25–45 MPa (3.63–6.53 ksi) at 28 days were achieved with laboratory testing, using the proposed machine learning mix design procedure. Thus, this tool has the capability to provide a novel approach for the design of slag-fly ash blended alkali activated concrete grades matching to the requirements of in-situ field constructions. |
Keywords | Alkali Activated Concrete; Artificial Neural Networks; Multivariate Adaptive Regression Spline model; Mix design; Compressive strength |
ANZSRC Field of Research 2020 | 400510. Structural engineering |
401602. Composite and hybrid materials | |
400505. Construction materials | |
Byline Affiliations | Royal Melbourne Institute of Technology (RMIT) |
School of Civil Engineering and Surveying | |
School of Agricultural, Computational and Environmental Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q631q/design-of-alkali-activated-slag-fly-ash-concrete-mixtures-using-machine-learning
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Otoom, Omar F., Lokuge, Weena, Karunasena, Warna, Manalo, Allan C., Ozbakkaloglu, Togay and Thambiratnam, David. 2021. "Experimental and numerical evaluation of the compression behaviour of GFRP-wrapped infill materials." Case Studies in Construction Materials. 15. https://doi.org/10.1016/j.cscm.2021.e00654Experimental and numerical analysis on the effectiveness of GFRP wrapping system on timber pile rehabilitation
Lokuge, Weena, Otoom, Omar, Borzou, Rahmin, Navaratnam, Satheeskumar, Herath, Nilupa and Thambiratnam, David. 2021. "Experimental and numerical analysis on the effectiveness of GFRP wrapping system on timber pile rehabilitation." Case Studies in Construction Materials. 15. https://doi.org/10.1016/j.cscm.2021.e00552Particle and particle-like solitary wave dynamics in fluid media
Raj, Nawin. 2015. Particle and particle-like solitary wave dynamics in fluid media. PhD Thesis Doctor of Philosophy. University of Southern Queensland.Performance of timber girders with end-notch: Experimental and numerical investigation
Navaratnam, Satheeskumar, Herath, Nilupa, Lokuge, Weena, Thamboo, Julian and Poologanathan, Keerthan. 2021. "Performance of timber girders with end-notch: Experimental and numerical investigation." Structures. 29, pp. 730-740. https://doi.org/10.1016/j.istruc.2020.11.075Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3Bushfire mitigation and preparation on the Toowoomba Region Escarpment: a research report for Toowoomba Regional Council
Ryan, Barbara, King, Rachel, Lokuge, Weena, Karunasena, Karu and Anderson, Esther. 2020. Bushfire mitigation and preparation on the Toowoomba Region Escarpment: a research report for Toowoomba Regional Council. Toowoomba, Australia. University of Southern Queensland.Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for significant wave height forecasting along coastal areas of Queensland, Australia
Raj, Nawin and Brown, Jason. 2021. "An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for significant wave height forecasting along coastal areas of Queensland, Australia." Remote Sensing. 13 (8), pp. 1-20. https://doi.org/10.3390/rs13081456Novel analytical method for mix design and performance prediction of high calcium fly ash geopolymer concrete
Gunasekara, Chamila, Atzarakis, Peter, Lokuge, Weena, Law, David W. and Setunge, Sujeeva. 2021. "Novel analytical method for mix design and performance prediction of high calcium fly ash geopolymer concrete." Polymers. 13 (6). https://doi.org/10.3390/polym13060900Characteristics, strength development and microstructure of cement mortar containing oil-contaminated sand
Abousnina, Rajab, Manalo, Allan, Ferdous, Wahid, Lokuge, Weena, Benabed, Benchaa and Al-Jabri, Khalifa Saif. 2020. "Characteristics, strength development and microstructure of cement mortar containing oil-contaminated sand." Construction and Building Materials. 252, pp. 1-13. https://doi.org/10.1016/j.conbuildmat.2020.119155Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6Performance of Bridges with Damaged Elements in Extreme Flood Events
Lokuge, W., Fraser, C. and Karunasena, W.. 2020. "Performance of Bridges with Damaged Elements in Extreme Flood Events." Wang, Chien Ming, Ho, Johnny C.M. and Kitipornchai, Sritawat (ed.) 25th Australasian Conference on Mechanics of Structures and Materials (ACMSM25). Brisbane, Australia 04 - 07 Dec 2018 Singapore. https://doi.org/10.1007/978-981-13-7603-0_40Numerical Investigation on Hollow Pultruded Fibre Reinforced Polymer Tube Columns
Al-Saadi, A.U., Aravinthan, T. and Lokuge, W.. 2020. "Numerical Investigation on Hollow Pultruded Fibre Reinforced Polymer Tube Columns." Wang, Chien Ming, Ho, Johnny C.M. and Kitipornchai, Sritawat (ed.) 25th Australasian Conference on Mechanics of Structures and Materials (ACMSM25). Brisbane, Australia 04 - 07 Dec 2018 Singapore. https://doi.org/10.1007/978-981-13-7603-0_45Floodway Design Process Revisted
Greene, I., Lokuge, W. and Karunasena, W.. 2020. "Floodway Design Process Revisted." Wang, Chien Ming, Ho, Johnny C.M. and Kitipornchai, Sritawat (ed.) 25th Australasian Conference on Mechanics of Structures and Materials (ACMSM25). Brisbane, Australia 04 - 07 Dec 2018 Singapore. https://doi.org/10.1007/978-981-13-7603-0_94Flexural Behavior of Functionally Graded-Graphene Reinforced Composite Plates
Rasappagari, M.R.R., Karunasena, W. and Lokuge, W.. 2020. "Flexural Behavior of Functionally Graded-Graphene Reinforced Composite Plates." Wang, Chen Ming, Ho, Johnny C.M. and Kitipornchai, Sritawat (ed.) 25th Australasian Conference on Mechanics of Structures and Materials (ACMSM25). Brisbane, Australia 04 - 07 Dec 2018 Singapore. https://doi.org/10.1007/978-981-13-7603-0_22Rehabilitation of timber bridge piles using a wrapping system
Borzou, R. and Lokuge, W.. 2018. "Rehabilitation of timber bridge piles using a wrapping system." Powers, Nigel, Frangopol, Dan M., Al-Mahaidi, Riadh and Caprani, Colin (ed.) 9th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018). Melbourne, Australia 09 - 13 Jul 2018 London, United Kingdom. https://doi.org/10.1201/9781315189390-281Structural design of floodways under extreme flood loading
Greene, Isaac, Lokuge, Weena and Karunasena, Warna. 2020. "Structural design of floodways under extreme flood loading." International Journal of Disaster Resilience in the Built Environment. 11 (4), pp. 535-555. https://doi.org/10.1108/IJDRBE-10-2019-0072Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network
Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517Vulnerability assessment of bridges subjected to extreme cyclonic events
Pathiranage, Thilini and Lokuge, Weena. 2020. "Vulnerability assessment of bridges subjected to extreme cyclonic events." Natural Hazards. 102 (1), pp. 401-417. https://doi.org/10.1007/s11069-020-03931-yFlexural behaviour of concrete slabs reinforced with GFRP bars and hollow composite reinforcing systems
Al-Rubaye, Mohammed, Manalo, Allan, Alajarmeh, Omar, Ferdous, Wahid, Lokuge, Weena, Benmokrane, Brahim and Edoo, Azam. 2020. "Flexural behaviour of concrete slabs reinforced with GFRP bars and hollow composite reinforcing systems." Composite Structures. 236, pp. 1-12. https://doi.org/10.1016/j.compstruct.2019.111836Floodways and Flood-Related Experiences: A Survey of Industry Experts and Asset Owners
Greene, I., Lokuge, W. and Karunasena, K.. 2020. "Floodways and Flood-Related Experiences: A Survey of Industry Experts and Asset Owners." Engineering for Public Works. 19, pp. 69-75.Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541