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Abuwarda, Z and Hegazy, T (2016) Flexible Activity Relations to Support Optimum Schedule Acceleration. Journal of Construction Engineering and Management, 142(11).
Bayram, S and Al-Jibouri, S (2016) Efficacy of Estimation Methods in Forecasting Building Projects’ Costs. Journal of Construction Engineering and Management, 142(11).
Brockmann, C, Brezinski, H and Erbe, A (2016) Innovation in Construction Megaprojects. Journal of Construction Engineering and Management, 142(11).
Carretero-Ayuso, M J, García-Sanz-Calcedo, J and Reyes-Rodríguez, A M (2016) Qualitative and Quantitative Analyses on Project Deficiencies in Flat-Roof Design in Extremadura, Spain. Journal of Construction Engineering and Management, 142(11).
Chancellor, W and Lu, W (2016) A Regional and Provincial Productivity Analysis of the Chinese Construction Industry: 1995 to 2012. Journal of Construction Engineering and Management, 142(11).
Gardner, B J, Gransberg, D D and Jeong, H D (2016) Reducing Data-Collection Efforts for Conceptual Cost Estimating at a Highway Agency. Journal of Construction Engineering and Management, 142(11).
Gosling, J, Pero, M, Schoenwitz, M, Towill, D and Cigolini, R (2016) Defining and Categorizing Modules in Building Projects: An International Perspective. Journal of Construction Engineering and Management, 142(11).
Lee, J (2016) Estimating Cumulative Damages due to Disruptions in Repetitive Construction. Journal of Construction Engineering and Management, 142(11).
Lee, Y, Kim, J and Lee, T S (2016) Topological Competiveness Based on Social Relationships in the Korean Construction-Management Industry. Journal of Construction Engineering and Management, 142(11).
Liang, C, Lu, W, Rowlinson, S and Zhang, X (2016) Development of a Multifunctional BIM Maturity Model. Journal of Construction Engineering and Management, 142(11).
Love, P E D and Smith, J (2016) Toward Error Management in Construction: Moving beyond a Zero Vision. Journal of Construction Engineering and Management, 142(11).
Lv, X and El-Gohary, N M (2016) Discovering Context-Specific Integration Practices for Integrating NEPA into Statewide and Metropolitan Project Planning Processes. Journal of Construction Engineering and Management, 142(11).
O’Connor, J T, Choi, J O and Winkler, M (2016) Critical Success Factors for Commissioning and Start-Up of Capital Projects. Journal of Construction Engineering and Management, 142(11).
Rodríguez-Garzón, I, Martínez-Fiestas, M, Delgado-Padial, A and Lucas-Ruiz, V (2016) An Exploratory Analysis of Perceived Risk among Construction Workers in Three Spanish-Speaking Countries. Journal of Construction Engineering and Management, 142(11).
Seo, J, Lee, S and Seo, J (2016) Simulation-Based Assessment of Workers’ Muscle Fatigue and Its Impact on Construction Operations. Journal of Construction Engineering and Management, 142(11).
Zhou, H W, Zhou, Y H and Zhao, C J (2016) Fault-Response Mechanism of Production System in Concrete-Dam-Construction Simulation. Journal of Construction Engineering and Management, 142(11).
- Type: Journal Article
- Keywords: Concrete dam; Production system; Fault-response mechanism; Mathematical model; Sensitivity analysis; Placement scheme; Project planning and design;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001185
- Abstract:
In the concrete-dam-construction process under real-world circumstances, concrete-production schedules can rarely be executed as planned due to the occurrence of various and unpredictable production-system faults, which greatly influence the rapid succession, quality, and quantity of concrete placement. Therefore, identifying these faults beforehand and determining the critical faults are essential for construction management to guarantee harmonious and rapid operations during the dam-construction process. Construction-simulation technology has proven to be an effective approach for predicting the concrete-dam-construction process and the performance of project schedules. However, existing simulation models do not currently consider the adverse influence of concrete-production-system faults. This paper is intended to determine the impact of production-system faults on concrete placement duration, monthly placement strength, and mechanical placement strength. An analysis of the fault-response mechanism of the system was carried out and a fault-response model has been proposed. Taking a typical concrete-dam project as a case study, a mathematical model of probability and statistics is proposed to clarify the occurrence law of the faults in the production system. Random numbers subjected to fault-probability distribution have been generated to represent whether the fault occurred or not, and the results were then fed back to the placement-simulation module to determine a reasonable placement scheme. In addition, a sensitivity analysis was carried out and the results prove that three kinds of production-system faults, namely, broken conveyor belts, broken stone grooves, and pipe blockages, significantly impact placement progress and quality. This study’s primary contribution is to provide a useful approach for the elaborate concrete-dam-construction-process simulations as well as a reference for the reasonable management of production systems and preventive measures.