Case-based reasoning approach to estimating the strength of sustainable concrete

Journal article


Koo, C., Jin, R., Li, B., Cha, S.H. and Wanatowski, D. (2017). Case-based reasoning approach to estimating the strength of sustainable concrete. Computers and Concrete. 20 (6), pp. 645-654. https://doi.org/10.12989/cac.2017.20.6.645
AuthorsKoo, C., Jin, R., Li, B., Cha, S.H. and Wanatowski, D.
Abstract

Continuing from previous studies of sustainable concrete containing environmentally friendly materials and existing modeling approach to predicting concrete properties, this study developed an estimation methodology to predicting the strength of sustainable concrete using an advanced case-based reasoning approach. It was conducted in two steps: (i) establishment of a case database and (ii) development of an advanced case-based reasoning model. Through the experimental studies, a total of 144 observations for concrete compressive strength and tensile strength were established to develop the estimation model. As a result, the prediction accuracy of the A-CBR model (i.e., 95.214% for compressive strength and 92.448% for tensile strength) performed superior to other conventional methodologies (e.g., basic case-based reasoning and artificial neural network models). The developed methodology provides an alternative approach in predicting concrete properties and could be further extended to the future research area in durability of sustainable concrete.

Year2017
JournalComputers and Concrete
Journal citation20 (6), pp. 645-654
PublisherKorea Institute of Science and Technology Information
ISSN1598-818X
Digital Object Identifier (DOI)https://doi.org/10.12989/cac.2017.20.6.645
Web address (URL)http://www.scopus.com/inward/record.url?eid=2-s2.0-85040181638&partnerID=MN8TOARS
Publication dates
Online25 Dec 2017
Publication process dates
Accepted19 Jul 2017
Deposited30 Aug 2022
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Non-linear and mixed regression models in predicting sustainable concrete strength
Jin, R, Chen, Q and Soboyejo, A (2018). Non-linear and mixed regression models in predicting sustainable concrete strength. Construction and Building Materials. 170, pp. 142-152. https://doi.org/10.1016/j.conbuildmat.2018.03.063
A holistic review of cement composites reinforced with graphene oxide
Xu, Y, Zeng, J, Chen, W, Jin, R, Li, B and Pan, Z (2018). A holistic review of cement composites reinforced with graphene oxide. Construction and Building Materials. 171, pp. 291-302. https://doi.org/10.1016/j.conbuildmat.2018.03.147
Experimental investigation of photocatalytic effects of concrete in air purification adopting entire concrete waste reuse model
Xu, Y, Chen, W, Jin, R, Shen, J, Smallbone, K, Yan, C and Hu, L (2018). Experimental investigation of photocatalytic effects of concrete in air purification adopting entire concrete waste reuse model. Journal of Hazardous Materials. 353, pp. 421-430. https://doi.org/10.1016/j.jhazmat.2018.04.030
Measurement of reinforcement corrosion in concrete adopting ultrasonic tests and artificial neural network
Xu, Y and Jin, R (2018). Measurement of reinforcement corrosion in concrete adopting ultrasonic tests and artificial neural network. Construction and Building Materials. 177, pp. 125-133. https://doi.org/10.1016/j.conbuildmat.2018.05.124
Incorporating Woodwork Fabrication into the Integrated Teaching and Learning of Civil Engineering Students
Li, B, Zhang, M, Jin, R, Wanatowski, D and Piroozfar, P (2018). Incorporating Woodwork Fabrication into the Integrated Teaching and Learning of Civil Engineering Students. Journal of Professional Issues in Engineering Education and Practice. 144 (4), pp. 05018007-05018007. https://doi.org/10.1061/(asce)ei.1943-5541.0000377
Constructing a BIM Climate–Based Framework: Regional Case Study in China
Xu, J, Jin, R, Piroozfar, P, Wang, Y, Kang, B, Ma, L, Wanatowski, D and Yang, T (2018). Constructing a BIM Climate–Based Framework: Regional Case Study in China. Journal of Construction Engineering and Management. 144 (11), pp. 04018105-04018105. https://doi.org/10.1061/(asce)co.1943-7862.0001568
Regional Comparisons of Contemporary Construction Industry Sustainable Concepts in the Chinese Context
Ma, L, Le, Y, Li, H, Jin, R, Piroozfar, P and Liu, M (2018). Regional Comparisons of Contemporary Construction Industry Sustainable Concepts in the Chinese Context. Sustainability. 10 (11), pp. 3831-3831. https://doi.org/10.3390/su10113831
Prioritizing the Sustainability Objectives of Major Public Projects in the Guangdong–Hong Kong–Macao Greater Bay Area
Li, H, Jin, R, Ning, X, Skitmore, M and Zhang, T (2018). Prioritizing the Sustainability Objectives of Major Public Projects in the Guangdong–Hong Kong–Macao Greater Bay Area. Sustainability. 10 (11), pp. 4110-4110. https://doi.org/10.3390/su10114110
Structural Damage Identification of Bridges from Passing Test Vehicles
Yang, Y., Zhu, Y., Wang, L., Jia, B. and Jin, R. (2018). Structural Damage Identification of Bridges from Passing Test Vehicles. Sensors. 18 (11), pp. 4035-4035. https://doi.org/10.3390/s18114035
Project-based pedagogy in interdisciplinary building design adopting BIM
Jin, R., Yang, T., Piroozfar, P., Kang, B-G., Wanatowski, D., Hancock, C.M. and Tang, L. (2018). Project-based pedagogy in interdisciplinary building design adopting BIM. Engineering, Construction and Architectural Management. 25 (10), pp. 1376-1397. https://doi.org/10.1108/ecam-07-2017-0119
A holistic review of off-site construction literature published between 2008 and 2018
Jin, R., Gao, S., Cheshmehzangi, A. and Aboagye-Nimo, E. (2018). A holistic review of off-site construction literature published between 2008 and 2018. Journal of Cleaner Production. 202, pp. 1202-1219. https://doi.org/10.1016/j.jclepro.2018.08.195
Investigation of interoperability between building information modelling (BIM) and building energy simulation (BES)
Chen, S, Jin, R and Alam, M (2018). Investigation of interoperability between building information modelling (BIM) and building energy simulation (BES). International Review of Applied Sciences and Engineering. 9 (2), pp. 137-144. https://doi.org/10.1556/1848.2018.9.2.9
Multivariate regression models in estimating the behavior of FRP tube encased recycled aggregate concrete
Jin, R., Yan, L., Soboyejo, Alfred BO., Huang, L. and Kasal, B. (2018). Multivariate regression models in estimating the behavior of FRP tube encased recycled aggregate concrete. Construction and Building Materials. 191, pp. 216-227. https://doi.org/10.1016/j.conbuildmat.2018.10.012
Effects of sustained loading and corrosion on the performance of reinforced concrete beams
Jin, R (2018). Effects of sustained loading and corrosion on the performance of reinforced concrete beams. Construction and Building Materials. 169, pp. 179-187. https://doi.org/10.1016/j.conbuildmat.2018.02.199
Experimental Investigation of Properties of Concrete Containing Recycled Construction Wastes
Jin, R, Li, B, Elamin, A, Wang, S, Tsioulou, O and Wanatowski, D (2018). Experimental Investigation of Properties of Concrete Containing Recycled Construction Wastes. International Journal of Civil Engineering. 16 (11), pp. 1621-1633. https://doi.org/10.1007/s40999-018-0301-4
Empirical Study of BIM Implementation–Based Perceptions among Chinese Practitioners
Jin, R, Hancock, C, Tang, L, Chen, C, Wanatowski, D and Yang, L (2017). Empirical Study of BIM Implementation–Based Perceptions among Chinese Practitioners. Journal of Management in Engineering. 33 (5), pp. 04017025-04017025. https://doi.org/10.1061/(asce)me.1943-5479.0000538
An empirical study of perceptions towards construction and demolition waste recycling and reuse in China
Jin, R, Li, B, Zhou, T, Wanatowski, D and Piroozfar, P (2017). An empirical study of perceptions towards construction and demolition waste recycling and reuse in China. Resources, Conservation and Recycling. 126, pp. 86-98. https://doi.org/10.1016/j.resconrec.2017.07.034
BIM Investment, Returns, and Risks in China’s AEC Industries
Jin, R, Hancock, C, Tang, L and Wanatowski, D (2017). BIM Investment, Returns, and Risks in China’s AEC Industries. Journal of Construction Engineering and Management. 143 (12), pp. 04017089-04017089. https://doi.org/10.1061/(asce)co.1943-7862.0001408
Comparison of Data Mining Techniques for Predicting Compressive Strength of Environmentally Friendly Concrete
Omran, B A, Chen, Q and Jin, R (2016). Comparison of Data Mining Techniques for Predicting Compressive Strength of Environmentally Friendly Concrete. Journal of Computing in Civil Engineering. 30 (6), pp. 04016029-04016029. https://doi.org/10.1061/(asce)cp.1943-5487.0000596
A comparison of subgroup construction workers’ perceptions of a safety program
Chen, Q and Jin, R (2015). A comparison of subgroup construction workers’ perceptions of a safety program. Safety Science. 74, pp. 15-26. https://doi.org/10.1016/j.ssci.2014.11.021
Investigation of Concrete Recycling in the U.S. Construction Industry
Jin, R and Chen, Q (2015). Investigation of Concrete Recycling in the U.S. Construction Industry. Procedia Engineering. 118, pp. 894-901. https://doi.org/10.1016/j.proeng.2015.08.528
Survey of the current status of sustainable concrete production in the U.S.
Jin, R, Chen, Q and Soboyejo, A (2015). Survey of the current status of sustainable concrete production in the U.S. Resources, Conservation and Recycling. 105, pp. 148-159. https://doi.org/10.1016/j.resconrec.2015.10.011
Study of the Relationship between Procurement Duration and Project Performance in Design-Build Projects: Comparison between Water/Wastewater and Transportation Sectors
Bogus, S, Migliaccio, G and Jin, R (2013). Study of the Relationship between Procurement Duration and Project Performance in Design-Build Projects: Comparison between Water/Wastewater and Transportation Sectors. Journal of Management in Engineering. 29 (4), pp. 382-391. https://doi.org/10.1061/(asce)me.1943-5479.0000165