基于实时监控的面板堆石坝施工进度-成本-质量动态均衡（英文）

发布时间：2018-03-08 19:33

本文选题：施工进度-成本-质量动态均衡　切入点：面板堆石坝　出处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2017年01期 　论文类型：期刊论文

【摘要】：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。
[Abstract]:Objective: the balance of construction schedule, cost and quality is the key to the success of the face rockfill dam project. The current equilibrium research is based on the static empirical data, and only for the planning and design stage. It is difficult to adapt to the dynamic and uncertain construction process. Based on the real-time monitoring technology of construction quality of face rockfill dam and consideration of dynamic decision preference, this paper presents a dynamic balance method of construction schedule, quality and cost. In order to realize the process management-oriented schedule-quality-cost balance. Innovation point: 1. The construction progress based on the construction quality real-time monitoring technology of face rockfill dam is put forward. The dynamic prediction method of quality and cost is put forward. The dynamic quantization method of construction decision preference is put forward. 3. A multi-objective equalization algorithm of construction schedule, quality and cost is proposed. Method 1. By analyzing the real-time monitoring data, the parameters of simulation model are updated. The construction schedule is obtained by simulation, and then the quality and cost (Fig. 4, Formula 8) and 10 / 10 are deduced. 2. The decision preference of managers in the construction process is dynamically quantified by using the Analytic hierarchy process (AHP). The weights between the three objectives of schedule, quality and cost are obtained (figure 5 / 3). The Pareto solution of the dynamic equilibrium problem is solved by using an improved undominated sorting genetic algorithm with elite strategy (formula 13 / 1). The optimal compromise scheme (Fig. 5). Conclusion: 1. Dynamic prediction of construction schedule, quality and cost based on real-time monitoring. The consistency between the equilibrium result and the actual construction process is improved 2.The dynamic quantitative decision preference is considered in the optimization solution. The dynamic balance of construction schedule, quality and cost in any stage of the construction process adapts to the dynamic change of construction conditions and can effectively guide the construction management on the spot.
【作者单位】： The
【基金】：Project supported by the Innovative Research Groups of the National Natural Science Foundation of China(No.51621092) the Natural Science Foundation of China(No.51439005) the National Basic Research Program(973 Program)of China(No.2013CB035904)
【分类号】：TV51

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