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Apipattanavis, S, Sabol, K, Molenaar, K R, Rajagopalan, B, Xi, Y, Blackard, B and Patil, S (2010) Integrated Framework for Quantifying and Predicting Weather-Related Highway Construction Delays. Journal of Construction Engineering and Management, 136(11), 1160–8.

Ashuri, B and Lu, J (2010) Time Series Analysis of ENR Construction Cost Index. Journal of Construction Engineering and Management, 136(11), 1227–37.

Bhargava, A, Anastasopoulos, P C, Labi, S, Sinha, K C and Mannering, F L (2010) Three-Stage Least-Squares Analysis of Time and Cost Overruns in Construction Contracts. Journal of Construction Engineering and Management, 136(11), 1207–18.

Blackman, I Q and Picken, D H (2010) Height and Construction Costs of Residential High-Rise Buildings in Shanghai. Journal of Construction Engineering and Management, 136(11), 1169–80.

Chen, J, Su, M and Huang, D (2010) Application of a SOM-Based Optimization Algorithm in Minimizing Construction Time for Secant Pile Wall. Journal of Construction Engineering and Management, 136(11), 1189–95.

  • Type: Journal Article
  • Keywords: Construction management; Optimization; Walls; Piles; Time factors; Construction time; Optimization; Self-organizing feature map (SOM); Secant pile wall; SOMO algorithm; Optimal sequencing;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000222
  • Abstract:
    Construction time matters for activities where rental equipment must be used. The building of a secant pile wall requires the rental of equipment and finding the optimal sequence to minimize the construction time is one way to lower construction costs. In this study we develop an effective and efficient optimization algorithm, which we call self-organizing feature map (SOM)-based optimization (SOMO), to minimize the construction time. The algorithm is applied to a case study to obtain the optimal sequences for both primary and secondary bored piles for a secant pile wall. The new SOMO algorithm is developed based on the ability of the human brain to produce topologically ordered mapping, so as to exploit better solutions via updating the weighting vectors of the neurons in a self-organizing topological way that occurs in the evolution of the feature map for optimization. Given detailed building time of the 16 activities of each bored pile, we find that 143.92 h or 27.21% of the original construction can be saved. The optimal sequences for both primary and secondary bored piles are also determined. The practicability of the SOMO algorithm is substantiated.

Lingard, H, Francis, V and Turner, M (2010) Work-Family Conflict in Construction: Case for a Finer-Grained Analysis. Journal of Construction Engineering and Management, 136(11), 1196–206.

Marsh, K and Fayek, A R (2010) SuretyAssist: Fuzzy Expert System to Assist Surety Underwriters in Evaluating Construction Contractors for Bonding. Journal of Construction Engineering and Management, 136(11), 1219–26.

Shepherd, S and Woskie, S R (2010) Case Study to Identify Barriers and Incentives to Implementing an Engineering Control for Concrete Grinding Dust. Journal of Construction Engineering and Management, 136(11), 1238–48.

Thal, A E, Cook, J J and White, E D (2010) Estimation of Cost Contingency for Air Force Construction Projects. Journal of Construction Engineering and Management, 136(11), 1181–8.