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CLC number: TV512

On-line Access: 2017-01-03

Received: 2016-08-11

Revision Accepted: 2016-12-16

Crosschecked: 2016-12-23

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Bin-ping Wu

http://orcid.org/0000-0002-9398-9078

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Journal of Zhejiang University SCIENCE A 2017 Vol.18 No.1 P.1-19

10.1631/jzus.A1600564


Dynamic time-cost-quality tradeoff of rockfill dam construction based on real-time monitoring


Author(s):  Deng-hua Zhong, Wei Hu, Bin-ping Wu, Zheng Li, Jun Zhang

Affiliation(s):  The State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China

Corresponding email(s):   wubinping@tju.edu.cn

Key Words:  Dynamic time-cost-quality tradeoff, Rockfill dam construction, Real-time monitoring, Decision preferences


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Deng-hua Zhong, Wei Hu, Bin-ping Wu, Zheng Li, Jun Zhang. Dynamic time-cost-quality tradeoff of rockfill dam construction based on real-time monitoring[J]. Journal of Zhejiang University Science A, 2017, 18(1): 1-19.

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Abstract: 
Time, cost, and quality are three key control factors in rockfill dam construction, and the tradeoff among them is important. Research has focused on the construction time-cost-quality tradeoff for the planning or design phase, built on static empirical data. However, due to its intrinsic uncertainties, rockfill dam construction is a dynamic process which requires the tradeoff to adjust dynamically to changes in construction conditions. In this study, a dynamic time-cost-quality tradeoff (DTCQT) method is proposed to balance time, cost, and quality at any stage of the construction process. A time-cost-quality tradeoff model is established that considers time cost and quality cost. Time, cost, and quality are dynamically estimated based on real-time monitoring. The analytic hierarchy process (AHP) method is applied to quantify the decision preferences among time, cost, and quality as objective weights. In addition, an improved non-dominated sorting genetic algorithm (NSGA-II) coupled with the technique for order preference by similarity to ideal solution (TOPSIS) method is used to search for the optimal compromise solution. A case study project is analyzed to demonstrate the applicability of the method, and the efficiency of the proposed optimization method is compared with that of the linear weighted sum (LWS) and NSGA-II.

This paper focuses on field construction management (e.g., suitable allocation of machinery) of rockfill dam construction by addressing dynamic time-cost-quality tradeoff (DTCQT) over the construction process. Multiple techniques have been integrated to implement the proposed method, including GPS+RFID-based real-time monitoring, discrete-event simulation for estimating time, nonlinear programming-based mathematical model of the DTCQT problem, analytic hierarchy process (AHP) method for quantifying the decision preferences and genetic algorithm (GA) for searching for optimal solutions. The study also addresses the nonlinear relationship between cost and quality as well as indirect cost such as prevention cost of the rockfill dam construction. The proposed method has been justified through a case study by comparing with the traditional methods. This study contributes to development and applicability of construction management as well as broadening and combination of real-time monitoring, simulation and optimization techniques. In addition, the proposed methodology has the potential to be developed along with modern information techniques such as cloud-computing, big data and BIM for intelligent construction management. Moreover, the proposed method can be applied to construction management for other engineering projects once the relevant particularities are considered. Generally, the paper is written and structured well.

基于实时监控的面板堆石坝施工进度-成本-质量动态均衡

目的:施工进度-成本-质量均衡是面板堆石坝工程成功的关键。目前的均衡研究建立在静态经验数据上,仅针对规划和设计阶段,难以适应施工过程的动态性和不确定性。基于面板堆石坝施工质量实时监控技术,考虑动态决策偏好,本文提出施工进度-质量-成本动态均衡方法,以实现面向过程管理的进度-质量-成本均衡。
创新点:1. 提出基于面板堆石坝施工质量实时监控技术的施工进度、质量和成本动态预测方法;2. 提出施工决策偏好动态量化方法;3. 提出施工进度-质量-成本多目标均衡求解算法。
方法:1. 通过分析实时监控数据,更新仿真模型参数,仿真得到施工进度,再推导出质量和成本(图4、公式(8)和(10));2. 采用层次分析法,动态量化施工过程中的管理者决策偏好,得到进度-质量-成本三目标间的权重(图5);3. 采用改进的带精英策略的非支配排序遗传算法(公式(13)),求解动态均衡问题的Pareto解,并运用逼近理想解的排序法筛选出最优折衷方案(图5)。
结论:1. 基于实时监控进行施工进度、质量和成本的动态预测,提高了均衡结果与实际施工过程的一致性;2. 动态量化决策偏好,并在优化求解中予以考虑,有助于最优折衷方案的筛选;3. 在施工过程中任意阶段开展的施工进度-质量-成本动态均衡适应了施工条件的动态变化,可有效指导现场施工管理。

关键词:施工进度-成本-质量动态均衡;面板堆石坝;实时监控;决策偏好

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