Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 13 results ...

Anwer, S, Li, H, Antwi-Afari, M F, Umer, W and Wong, A Y L (2021) Evaluation of Physiological Metrics as Real-Time Measurement of Physical Fatigue in Construction Workers: State-of-the-Art Review. Journal of Construction Engineering and Management, 147(05).

Assaad, R and El-adaway, I H (2021) Determining Critical Combinations of Safety Fatality Causes Using Spectral Clustering and Computational Data Mining Algorithms. Journal of Construction Engineering and Management, 147(05).

Besklubova, S, Skibniewski, M J and Zhang, X (2021) Factors Affecting 3D Printing Technology Adaptation in Construction. Journal of Construction Engineering and Management, 147(05).

Castelblanco, G, Guevara, J, Mesa, H and Sanchez, A (2021) Semantic Network Analysis of Literature on Public-Private Partnerships. Journal of Construction Engineering and Management, 147(05).

Chen, X, Zhang, Y, Zhao, B and Yang, S (2021) Investment Probabilistic Interval Estimation for Construction Project Using the Hybrid Model of SVR and GWO. Journal of Construction Engineering and Management, 147(05).

Guo, S, Tang, B, Liang, K, Zhou, X and Li, J (2021) Comparative Analysis of the Patterns of Unsafe Behaviors in Accidents between Building Construction and Urban Railway Construction. Journal of Construction Engineering and Management, 147(05).

Johari, S and Neeraj Jha, K (2021) Framework for Identifying Competencies of Construction Workers. Journal of Construction Engineering and Management, 147(05).

Lv, J, Lin, M, Zhou, W and Xu, M (2021) How PPP Renegotiation Behaviors Evolve with Traffic Changes: Evolutionary Game Approach. Journal of Construction Engineering and Management, 147(05).

Moon, S and Munira Chowdhury, A (2021) Utilization of Prior Information in Neural Network Training for Improving 28-Day Concrete Strength Prediction. Journal of Construction Engineering and Management, 147(05).

  • Type: Journal Article
  • Keywords: Concrete mix design; Concrete strength prediction; Prior information; Prior information-based neural network model (PI-NNM); Neural network (NN) training;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002047
  • Abstract:
    A concrete mix design aims to obtain the optimal proportions of concrete ingredients, including cement, water, sand, coarse aggregates, and admixtures. Neural networks (NNs) have been widely applied in research to predict concrete strength, and the concrete ingredients and concrete strength metrics have been used as the input and output parameters, respectively. The objective of this study is to use the 3-day concrete strength as the prior information in the NN training to reduce overfitting and improve the 28-day concrete strength prediction capability. This study is unique because the 3-day concrete strength was not used as another input parameter in the NN training; instead, it was used as data for the initial weights and biases of the connection node in the hidden layer during the NN training. Accordingly, a prior information-based NN model (PI-NNM) was developed to obtain a 28-day concrete strength prediction model. According to the tests with data subsets, the PI-NNM showed a better prediction capability than the conventional NN model, which uses only input parameters for the concrete prediction. Moreover, an adjusted PI-NNM was applied to the actual concrete production; the results showed a high prediction capability for the 28-day concrete strength.

Mousaei, A, Taghaddos, H, Nekouvaght Tak, A, Behzadipour, S and Hermann, U (2021) Optimized Mobile Crane Path Planning in Discretized Polar Space. Journal of Construction Engineering and Management, 147(05).

Pradhananga, P, ElZomor, M and Santi Kasabdji, G (2021) Identifying the Challenges to Adopting Robotics in the US Construction Industry. Journal of Construction Engineering and Management, 147(05).

Sparkling, A E and Dogra, P (2021) Supervisors’ Reliance on Tacit Knowledge and Barriers to Knowledge Sharing in the Electrical Contracting Industry. Journal of Construction Engineering and Management, 147(05).

Zaalouk, A and Han, S (2021) Parameterized Design Optimization Framework for Worker-Friendly Workplaces in Modular Construction. Journal of Construction Engineering and Management, 147(05).