Publikowanie artykułów jest możliwe po podpisaniu zgody na przeniesienie licencji na czasopismo.
The cementitious composite nature of concrete makes very diffi cult directly ascertaining each mixture-factors’ contribution to a given concrete mixture performance characteristics but also doubly diffi cult to accurately balance mutually exclusive requirements for performance (workability, strength, durability) and sustainability (the economic and effi cient use of materials) for mixture proportioning based on recipes of previously produced concretes. This study sought to quantify individual mixture-factors’ contribution to a given concrete mixture’s performance characteristics. Proposed multi-parametric exponential mixture-response models were fi tted to available test-performance data sets of HPC mixtures proportioned based on the best combined grade aggregate (minimum void) to generate mixture-strength and mixture-porosity development (age-mixture response relationships) profi les of HPC mixtures and deemed robust enough to yield reliable determination of mixture-response rate-parameters So, Sp, Si and Po, Pp, Pi as functions of mixture-factors that permitted reliable quantifi cation of contributions to HPC mixture performance of individual mixture-factors and optimization of mixture properties under study over the study domain. Mixture-response sensitivity analysis models (or mixture response trace plots) to allow construction of mixture-factor envelopes and ultimately optimized mixture-response models to facilitate selection of optimal mixture-factors and optimal tailoring of HPC mixture requirements to HPC mixture performance were developed and used to obtain optimized adapted HPC mixtures from available high performance concrete (HPC) mixture design recipes investigated in the study over the study domain. Adapted HPC mixture design recipes yielded alternative mixture compositions with improved performance and effi ciency characteristics with statistical performance metrics MAPE, NMBE and RMSE values of 7.6%,–3.7% and 6.5 MPa, respectively.
American Concrete Institute. CT-13: ACI Concrete Terminology-An ACI Standard. (2017).
Google Scholar
Büyüköztürk O, Lau D. High Performance Concrete: Fundamentals and Application. Massachusetts Institute of Technology, Cambridge, Massachusetts, U.S. (2002).
Google Scholar
Schiehl P., Stengel F. Sustainable construction with UHPC–from life cycle inventory data collection to environmental impact assessment. In: Proceedings of the Second International Symposium on Ultra High Performance Concrete. Kassel, Germany (2008) 461–468.
Google Scholar
Lee B.Y., Kim J.H., Kim J.K. Optimum concrete mixture proportion based on a database considering regional characteristics. Journal of Computing in Civil Engineering 23 (2009) 258–265.
Google Scholar
Ji T., Lin T., Lin X. A concrete mix proportion design algorithm based on artifi cial neural networks. Cement and Concrete Research 36 (2006) 1399–1408.
Google Scholar
Chamberlin, W.P. Performance-related specifi cations for highway construction and rehabilitation. NCHRP 212. Transportation Research Board, Washington, DC. (1995).
Google Scholar
Hoang K.H., Hadl P., Nguyen V.T. A new mix design method for UHPC based on stepwise optimization of particle packing density. In: First International Interactive Symposium on UHPC. (2016).
Google Scholar
Livingston R.A., Bumrongjaroen W. Optimization of silica fume, fl y ash, cement mixes for high performance concrete. In: Proceedings of 2005 World of Coal Ash (WOCA), Lexington, Kentacky, USA. (2005) 9 pages.
Google Scholar
Abrams D.A. Design of concrete mixtures. Bulletin No. 1, Structural Materials Research Laboratory, Lewis Institute, Chicago (1918) 309–330.
Google Scholar
Ma J., Schneider H. Properties of ultra-high-performance concrete. LACER (2002) 25–32.
Google Scholar
Lushnikova N. Optimization of selection process of constituent materials for high performance concrete and mortars. Budownictwo i Architektura 14(1) (2015) 53–64.
Google Scholar
Shilstone, J.M. (Sr). Concrete mixture optimization. Concrete International 12(6) (1990) 33–39.
Google Scholar
Golewski G.L. Green concrete composite incorporating fl y ash with high strength and fracture toughness. Journal of Cleaner Production 172 (2018) 21–226.
Google Scholar
Taylor P., Bektas F., Yurdakul E., Ceylan H. Optimizing cementitious content in concrete mixtures for required performance. Final Report Federal Highway Administration (DTFH61-06-H-00011 (Work Plan 20)) January 2012.
Google Scholar
Abbas S., Nehdi M., Saleem M.A. Ultra-high performance concrete: mechanical performance, durability, sustainability and implementation challenges. International Journal of Concrete Structures and Materials 10(2) (2016) 125–142.
Google Scholar
Caubergand N., Piérard J. Ultra High Performance Concrete: Mix design and practical applications. Tailor Made Concrete Structures–Walraven & Stoelhorst, (2008) 1085–1087.
Google Scholar
Sabir, B.B. High strength condensed silica-fume concrete. Magazine of Concrete Research 47 (1995) 219–226.
Google Scholar
Logan J.D. Applied Mathematics: A Contemporary Approach. 2nd ed., John-Wiley, New York. (2001).
Google Scholar
Azizinamini A. Nebraska High-Strength Concrete Research Project. Centre for Infrastructure Research Report, University of Nebraska-Lincoln. (1990).
Google Scholar
Domone P., Soutsos M. Properties of high-|strength concrete mixes containing PFA and GGBS. Magazine of Concrete Research 17(3) (1995) 355–363.
Google Scholar
Nguyen V.T. Rice-husk ash as a mineral admixture for ultra-high performance concrete. PhD Thesis, Delft University of Technology, (Delft, Netherland) (2011) 95–139.
Google Scholar
Sarkar A., Adwan O., Munday I.G.L. High strength concrete: An investigation of fl exural behaviour of high strength RC beams. The Structural Engineer. 19 (1997) 115–121.
Google Scholar
Rajasekaran S. Optimal mix design for high performance concretes by evolution strategies combined with neural networks. Indian Journal of Engineering Material Science 13 (2006) 7–17.
Google Scholar
de Larrard F., Sedran T. Optimization of ultra-high-performance concrete by the use of a packing model. Cement and Concrete Research 24(6) (1994) 997–1009.
Google Scholar
Simon M.J. Concrete mixture optimization using statistical methods. Final Report. FHWA–RD-03-060, Infrastural Research, (2003) 167 pp.
Google Scholar
Tesfamariam S., Najjaran H. Adaptive network-fuzzy inferencing to estimate concrete strength using mix design, ASCE Journal in Materials in Civil Engineering. 19 (2007) 550–560.
Google Scholar
Taghaddos H., Mahmoudzadeh F., Pourmoghaddam A., Shekarchizadeh M. Prediction of Compressive Strength Behaviour in RPC with applying an Adaptive Network-Based Fuzzy Interface System In Proceedings of the International Symposium on Ultra High Performance Concrete Kassel, Germany September 13–15 (2004) 273–284.
Google Scholar
Cook J.E. Research and application of high strength concrete using Class C Fly Ash. ACI Concrete International (1980) 72–77.
Google Scholar
Muller H.S., Henold G., Scheydt J.C., Kubnt M. Development and application of UHPC convenience blends. In: Proceedings of the Second International Symposium on Ultra High Performance Concrete. Kassel, Germany (2008) 69–76.
Google Scholar
Techbrief. Development of non-proprietary ultra-high performance concrete for use in the Highway Bridge Sector. FHWA Publication No.: FHWA-HR (2013).
Google Scholar
Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa – Użycie niekomercyjne – Bez utworów zależnych 4.0 Międzynarodowe.
Publikowanie artykułów jest możliwe po podpisaniu zgody na przeniesienie licencji na czasopismo.