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Cha, H S and O’Connor, J T (2005) Optimizing Implementation of Value Management Processes for Capital Projects. Journal of Construction Engineering and Management, 131(02), 239–51.

Darren Graham, L, Smith, S D and Dunlop, P (2005) Lognormal Distribution Provides an Optimum Representation of the Concrete Delivery and Placement Process. Journal of Construction Engineering and Management, 131(02), 230–8.

  • Type: Journal Article
  • Keywords: Concrete placing; Probability distribution; Probability density function; Stochastic processes; United Kingdom;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:2(230)
  • Abstract:
    The process of concrete supply and delivery exhibits traits of random nature, which render control arduous. This random nature allows concrete placement operations to be considered as a stochastic system and therefore cannot be analyzed by deterministic techniques. In modeling the process realistically, it may be necessary to recreate the variability through fitting a sufficiently flexible theoretical probability distribution to observed data. There is a significant body of work relating to the probability distributions which represent general construction activities. However, there is a lack of literature aimed at determining the optimum representative of the concrete placement process. Therefore, the aim of this paper is to identify a sufficiently flexible representative of this process. To this end, construction data were collected from a number of concrete pours in Scotland, U.K. To identify a suitable distribution in this context, a computer package, PDFit, is presented. It is founded upon the production of probability density functions of select theoretical probability distributions plotted against the histogram of the input data. The principal method of assessment is a visual comparison of the shape of the probability density function and the input data histogram. This paper presents the lognormal distribution as a sufficiently flexible theoretical probability distribution to represent the concrete placing process.

Dikmen, I, Birgonul, M T and Kiziltas, S (2005) Prediction of Organizational Effectiveness in Construction Companies. Journal of Construction Engineering and Management, 131(02), 252–61.

Elhakeem, A and Hegazy, T (2005) Graphical Approach for Manpower Planning in Infrastructure Networks. Journal of Construction Engineering and Management, 131(02), 168–75.

Hinze, J, Huang, X and Terry, L (2005) The Nature of Struck-by Accidents. Journal of Construction Engineering and Management, 131(02), 262–8.

Kajewski, S L (2005) Multilevel Formwork Load Distribution with Posttensioned Slabs. Journal of Construction Engineering and Management, 131(02), 203–10.

Kazaz, A and Birgonul, M T (2005) Determination of Quality Level in Mass Housing Projects in Turkey. Journal of Construction Engineering and Management, 131(02), 195–202.

Love, P E D, Tse, R Y C and Edwards, D J (2005) Time–Cost Relationships in Australian Building Construction Projects. Journal of Construction Engineering and Management, 131(02), 187–94.

Ping Ho, S (2005) Bid Compensation Decision Model for Projects with Costly Bid Preparation. Journal of Construction Engineering and Management, 131(02), 151–9.

Schexnayder, C, Knutson, K and Fente, J (2005) Describing a Beta Probability Distribution Function for Construction Simulation. Journal of Construction Engineering and Management, 131(02), 221–9.

Shen, L Y and Wu, Y Z (2005) Risk Concession Model for Build/Operate/Transfer Contract Projects. Journal of Construction Engineering and Management, 131(02), 211–20.

Walsh, K D, Sawhney, A and Brown, A (2005) International Comparison of Cost for the Construction Sector: Purchasing Power Parity. Journal of Construction Engineering and Management, 131(02), 160–7.

Zheng, D X M and Ng, S T (2005) Stochastic Time–Cost Optimization Model Incorporating Fuzzy Sets Theory and Nonreplaceable Front. Journal of Construction Engineering and Management, 131(02), 176–86.