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Ali, A, Wang, H, Soomro, M A and Islam, T (2020) Shared Leadership and Team Creativity: Construction Industry Perspective. Journal of Construction Engineering and Management, 146(10).

Cai, S, Ma, Z, Skibniewski, M J and Guo, J (2020) Construction Automation and Robotics: From One-Offs to Follow-Ups Based on Practices of Chinese Construction Companies. Journal of Construction Engineering and Management, 146(10).

Chowdhury, S, Zhu, J, Rasoulkhani, K, Mostafavi, A, Jaselskis, E, Stoa, R, Li, Q, Banerjee, S, Alsharef, A and Brannen, L (2020) Guidelines for Robust Adaptation to Environmental Regulations in Infrastructure Projects. Journal of Construction Engineering and Management, 146(10).

Hegazy, T, Saad, D A and Mostafa, K (2020) Enhanced Repetitive-Scheduling Computation and Visualization. Journal of Construction Engineering and Management, 146(10).

Hong, Y, Tian, Z and Sun, X (2020) Dynamic Evaluation for Compaction Quality of Roller Compacted Concrete based on Reliability Metrics. Journal of Construction Engineering and Management, 146(10).

  • Type: Journal Article
  • Keywords: Roller compacted concrete (RCC); Evaluation of compaction quality; Genetic algorithm-based support vector machine (GA-SVM); Variability; Reliability;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001925
  • Abstract:
    The compaction quality of the compacted layer is a major concern of roller compacted concrete (RCC). Current compaction quality evaluation methods, such as testing random sampling spots or predicting with common models, have strong deviation due to the limited amount of data points and the ignorance of the effect of parameter variability on the reliability of evaluation results. This study presents a dynamic quality evaluation method by incorporating reliability to account for the variability of material parameters. This method consists of three parts. First, the compactness of the compacted layer is predicted using genetic algorithm-based support vector machine (GA-SVM). Second, reliability analysis is proposed to incorporate the influence of material parameter variability on the credibility of compactness prediction. Finally, the index R as an evaluation criterion is developed based on compactness and reliability by which the compaction quality of RCC is predicted. By using the kriging interpolation procedure, the compactness and reliability at any point of a work area can be estimated, and the overall passing rate of compaction quality of the work area can be analyzed. The advantages of the proposed method are as follows: (1) through minimizing structural risks, GA-SVM model can solve the problem of high deviation and low accuracy caused by limited sampling data in common models; and (2) to overcome the limitation of low reliability of single compactness evaluation, the reliability index is introduced to quantify the impact of material parameter variability on the credibility of the compactness.

Negash, Y T and Hassan, A M (2020) Construction Project Success under Uncertainty: Interrelations among the External Environment, Intellectual Capital, and Project Attributes. Journal of Construction Engineering and Management, 146(10).

Oswald, D and Dainty, A (2020) Ethnographic Research in the Construction Industry: A Critical Review. Journal of Construction Engineering and Management, 146(10).

Tino Balestra, C E, Alessi Reichert, T, Savaris, G, Pansera, W A and A. Medeiros-Junior, R (2020) Nondestructive Method for Estimation of Chloride Profiles: Correlation between Electrical Resistivity and Holliday-Empirical Equation. Journal of Construction Engineering and Management, 146(10).

Zhang, L, Yao, Y and Yiu, T W (2020) Job Burnout of Construction Project Managers: Exploring the Consequences of Regulating Emotions in Workplace. Journal of Construction Engineering and Management, 146(10).

Zhu, J, Hertogh, M, Zhang, J, Shi, Q and Sheng, Z (2020) Incentive Mechanisms in Mega Project-Risk Management Considering Owner and Insurance Company as Principals. Journal of Construction Engineering and Management, 146(10).