Abstracts – Browse Results
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Al-Kaisy, A and Nassar, K (2005) Nighttime construction issues revisited. Journal of Construction Research, 6(01), 139–56.
Chow, L J, Then, D and Skitmore, M (2005) Characteristics of teamwork in Singapore construction projects. Journal of Construction Research, 6(01), 15–46.
Crawford, R H (2005) Validation of the use of input-output data for embodied energy analysis of the Australian construction industry. Journal of Construction Research, 6(01), 71–90.
Dulaimi, M F (2005) The influence of academic education and formal training on the project manager's behavior. Journal of Construction Research, 6(01), 179–93.
Holt, G D and Edwards, D J (2005) Domestic builder selection in the uk housing repair and maintenance sector: a critique. Journal of Construction Research, 6(01), 123–37.
Lin, E T A and Wen, K P T (2005) Singapore's contractors' attitudes towards safety culture. Journal of Construction Research, 6(01), 157–78.
Ling, F Y Y (2005) Global factors affecting margin-size of construction projects. Journal of Construction Research, 6(01), 91–106.
Malekzadeh, H, Edwards, D J and Harris, F C (2005) Simulating the ground freezing process: a decision support model. Journal of Construction Research, 6(01), 107–21.
- Type: Journal Article
- Keywords: Construction/civil projects; ground freezing; financial models; finite element analysis; linear programming
- ISBN/ISSN: 1609 9451
- URL: http://www.worldscinet.com/jcr/06/0601/S1609945105000286.html
- Abstract:
This paper describes the development of a decision support computer model to aid ground freezing on construction and civil engineering projects. The methodology examined three pragmatic considerations of the ground freezing process. These are: (i) risk analysis (to determine data and information required to utilize risk models); (ii) finite element analysis for ground freezing (to obtain appropriate freeze pipe sizes and determine distances between pipes for reducing the duration of the freezing process); and (iii) linear programming (to derive optimum cost with respect to excavation length and ice-wall thickness). These pragmatic considerations were then applied to field studies in order to test model validity. In combination, the decision support model developed demonstrated novelty specifically for cost estimating and planning ground freezing works. Greater "practitioner" understanding and consequently, wider utilization of the models presented could therefore translate as cost optimization of the ground freezing process. The paper concludes with directions for future research work that aims to: (i) apply the algorithms employed to other temporary works methodologies; (ii) optimize the cost specification of ground freezing using linear programming applied to "live" financial data; and (iii) transpose the research into a user-friendly software package.
Min, W and Pheng, L S (2005) EOQ with a price discount versus JIT purchasing: an alternative analysis in the ready-mixed concrete industry. Journal of Construction Research, 6(01), 47–69.
Tse, R Y C and Choy, L (2005) Is it training in construction industry useful?. Journal of Construction Research, 6(01), 1–13.