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Antillon, E I, Molenaar, K R and Javernick-Will, A (2017) Evaluating the Effect of Contract Timing on Lifecycle-Design Innovation in Public–Private Partnerships: Comparative Case Study of Highway Projects. Journal of Construction Engineering and Management, 143(04).
Cavalcante, C A V, Alencar, M H and Lopes, R S (2017) Multicriteria Model to Support Maintenance Planning in Residential Complexes under Warranty. Journal of Construction Engineering and Management, 143(04).
Chih, Y, Kiazad, K, Li, M, Capezio, A, Zhou, L and Restubog, S L D (2017) Broken Promises: Implications for the Job Insecurity and Job Performance of Chinese Construction Workers. Journal of Construction Engineering and Management, 143(04).
Delgado-Hernandez, D J, Cruz-Cruz, C C and Vences-García, P Y (2017) Improvement Management Tools in the Construction Industry: Case Study of Mexico. Journal of Construction Engineering and Management, 143(04).
Fang, Y and Cho, Y K (2017) Effectiveness Analysis from a Cognitive Perspective for a Real-Time Safety Assistance System for Mobile Crane Lifting Operations. Journal of Construction Engineering and Management, 143(04).
Gao, R, Chan, A P C, Utama, W P and Zahoor, H (2017) Workers’ Perceptions of Safety Climate in International Construction Projects: Effects of Nationality, Religious Belief, and Employment Mode. Journal of Construction Engineering and Management, 143(04).
Gunduz, M, Birgonul, M T and Ozdemir, M (2017) Fuzzy Structural Equation Model to Assess Construction Site Safety Performance. Journal of Construction Engineering and Management, 143(04).
Khan, A, Do, J and Kim, D (2017) Experimental Optimization of High-Strength Self-Compacting Concrete Based on D-Optimal Design. Journal of Construction Engineering and Management, 143(04).
- Type: Journal Article
- Keywords: Self-compacting concrete; Design of experiment; D-optimal design; Response surface; D-optimality; Construction materials and methods;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001230
- Abstract:
Because of the high variability in the material content of high-strength self-compacting concrete (HSSCC), a huge number of trial sets (experiments) are often essential to find the optimum mixture proportions needed to achieve desired HSSCC properties. In the current investigation, an effort was made to considerably reduce the number of such experiments and to study the influence of different mixture parameters on the properties of HSSCC using a response surface method coupled with D-optimal design of experiment (DOE). In this study, water-binder ratio, cement content, fine-aggregate percentage, fly ash content and superplasticizer content were chosen as input variables, with compressive strength, passing ability, segregation, and manufacturing cost as responses. For each response, a full quadratic model and second-order polynomial equation was developed using central composite design (CCD) and D-optimal design. Analysis of variance (ANOVA) was carried out to check adequacy. Responses were analyzed in blocks where two mixture parameter vary and others stay constant. To determine the efficiency of the approach, the D-optimality of the CCD and D-optimal design were studied and compared. It was found that the D-optimal design reduces the number of trials 40.38–50% compared with standard design with less significant change on responses (0.32–0.54% change for compressive strength, 0.93–0.415% change for passing ability, 0.99–1.35% change for segregation and 3.9–4.35% change for cost), and provides dependable predictions as demonstrated in this investigation.
Liu, R, Du, J, Issa, R R A and Giel, B (2017) BIM Cloud Score: Building Information Model and Modeling Performance Benchmarking. Journal of Construction Engineering and Management, 143(04).
McCabe, B Y, Alderman, E, Chen, Y, Hyatt, D E and Shahi, A (2017) Safety Performance in the Construction Industry: Quasi-Longitudinal Study. Journal of Construction Engineering and Management, 143(04).
Ozorhon, B and Oral, K (2017) Drivers of Innovation in Construction Projects. Journal of Construction Engineering and Management, 143(04).
Praticò, F G (2017) Metrics for Management of Asphalt Plant Sustainability. Journal of Construction Engineering and Management, 143(04).
Wang, D, Arditi, D and Damci, A (2017) Construction Project Managers’ Motivators and Human Values. Journal of Construction Engineering and Management, 143(04).
Xu, J, Jiang, L and Moon, S (2017) Determination of the Optimal Concession Period for BOT Contract Projects Based on a Discrete Stochastic Process Model. Journal of Construction Engineering and Management, 143(04).
Yu, T, Shen, G Q and Shi, Q (2017) Comparing the Performance Quality of Design-Bid-Build and Design-Build Delivery Methods. Journal of Construction Engineering and Management, 143(04).