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Bobick, T G (2004) Falls through Roof and Floor Openings and Surfaces, Including Skylights: 1992–2000. Journal of Construction Engineering and Management, 130(06), 895–907.

Chan, S and Leung, N (2004) Prototype Web-Based Construction Project Management System. Journal of Construction Engineering and Management, 130(06), 935–43.

Cheah, C Y J, Garvin, M J and Miller, J B (2004) Empirical Study of Strategic Performance of Global Construction Firms. Journal of Construction Engineering and Management, 130(06), 808–17.

Cheng, E W L and Li, H (2004) Development of a Practical Model of Partnering for Construction Projects. Journal of Construction Engineering and Management, 130(06), 790–8.

Cheung, S O, Yiu, K T W and Suen, H (2004) Construction Negotiation Online. Journal of Construction Engineering and Management, 130(06), 844–52.

Chung, T H, Abraham, D M and Gokhale, S B (2004) Decision Support System for Microtunneling Applications. Journal of Construction Engineering and Management, 130(06), 835–43.

  • Type: Journal Article
  • Keywords: Microtunneling; Economic factors; Soil conditions; Decision support systems; Pipelines;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:6(835)
  • Abstract:
    Microtunneling is a trenchless technology method used for installing new pipelines. The inherent advantages of this method over open-cut trenching have led to its increasing use since its first introduction into North America in the early 1980s. With this technology, surface disruption can be minimized, especially in urban areas, and high accuracy of installation (usually less than 2cm over 100m) can be achieved in both line and grade. But microtunneling machines are very expensive and few contractors have extensive experience with this technology. Microtunneling can also be risky when unexpected obstacles or soil changes occur. Careful constructability analysis is needed, and an appropriate microtunneling method should be selected in order to achieve successful completion of microtunneling projects. A computerized decision support system (DSS) for microtunneling was developed to support decision making for contractors who want to bid on microtunneling projects. This paper discusses the decision-making process for microtunneling and the development of the DSS. When the user enters basic information about the potential project such as drive length, installation depth, pipe diameter, and soil condition, the DSS evaluates whether microtunneling will be economically feasible and suggests appropriate types of microtunneling methods. The user can then select microtunneling machines, types of pipes, and types of shaft construction methods. This DSS is most beneficial when used at the preplanning stage by utility contractors.

Fang, D, Fong, P S and Li, M (2004) Risk Assessment Model of Tendering for Chinese Building Projects. Journal of Construction Engineering and Management, 130(06), 862–8.

Fang, D, Li, M, Fong, P S and Shen, L (2004) Risks in Chinese Construction Market—Contractors’ Perspective. Journal of Construction Engineering and Management, 130(06), 853–61.

Hanna, A S, Camlic, R, Peterson, P A and Lee, M (2004) Cumulative Effect of Project Changes for Electrical and Mechanical Construction. Journal of Construction Engineering and Management, 130(06), 762–71.

Koksal, A and Arditi, D (2004) Predicting Construction Company Decline. Journal of Construction Engineering and Management, 130(06), 799–807.

Lee, H, Yu, J and Kim, S (2004) Impact of Labor Factors on Workflow. Journal of Construction Engineering and Management, 130(06), 918–23.

Marzouk, M and Moselhi, O (2004) Fuzzy Clustering Model for Estimating Haulers’ Travel Time. Journal of Construction Engineering and Management, 130(06), 878–86.

Rowe, G M, Meegoda, J N, Jumikis, A, Sharrock, M J, Bandara, N and Hettiarachchi, C H (2004) NJTxtr—A Computer Program Based on LASER to Monitor Asphalt Segregation. Journal of Construction Engineering and Management, 130(06), 924–34.

Senouci, A B and Eldin, N N (2004) Use of Genetic Algorithms in Resource Scheduling of Construction Projects. Journal of Construction Engineering and Management, 130(06), 869–77.

Son, J and Mattila, K G (2004) Binary Resource Leveling Model: Activity Splitting Allowed. Journal of Construction Engineering and Management, 130(06), 887–94.

Tam, C M, Tong, T K L and Wong, Y W (2004) Selection of Concrete Pump Using the Superiority and Inferiority Ranking Method. Journal of Construction Engineering and Management, 130(06), 827–34.

Thomas, H R, Horman, M J and de Souza, U E L (2004) Symbiotic Crew Relationships and Labor Flow. Journal of Construction Engineering and Management, 130(06), 908–17.

Tsao, C C Y, Tommelein, I D, Swanlund, E S and Howell, G A (2004) Work Structuring to Achieve Integrated Product–Process Design. Journal of Construction Engineering and Management, 130(06), 780–9.

Walsh, K D, Hershauer, J C, Tommelein, I D and Walsh, T A (2004) Strategic Positioning of Inventory to Match Demand in a Capital Projects Supply Chain. Journal of Construction Engineering and Management, 130(06), 818–26.

Whalen, T M, Gopal, S and Abraham, D M (2004) Cost-Benefit Model for the Construction of Tornado Shelters. Journal of Construction Engineering and Management, 130(06), 772–9.