Construction simulation of high arch dams based on fuzzy Bayesian updating algorithm

Construction simulation is an effective tool to provide schedule plans for construction schedule management. The simulation parameter is the foundation of construction simulation for high arch dams. However, the updating construction simulation parameters of the commonly used Bayesian algorithm are constant and inconsistent with the construction process. Due to the lack of construction data, the construction data are not sufficient for the Bayesian updating algorithm. Thus, the construction simulation of high arch dams based on fuzzy Bayesian updating algorithm is proposed. The construction parameters for a dynamic site construction situation are collected, and the original data are fuzzed by fuzzy set theory to provide the foundation for a variety of simulation parameters during the simulation process. Moreover, with the Bayesian updating algorithm, the fuzzed simulation parameters are updated and obtained via the selection of the membership degree. Finally, the construction simulation of high arch dams is conducted based on the updated simulation parameters. A case study shows that the updated simulation parameters are more in accordance with the construction parameters in situ than the original parameters, which can provide a foundation for the change of simulation parameters during the simulation process, and the simulation results are agreed with the actual construction situation.中文概要目的针对当前高拱坝施工进度仿真研究中施工仿真参 数难以实现对现场施工状态的有效跟踪的现状, 研究施工仿真参数实时更新方法,以提高施工仿 真参数及仿真计算结果的准确度。创新点1. 通过贝叶斯更新方法,建立施工仿真参数实时 更新方法;2. 基于模糊集理论,并通过对隶属度 的取值,实现对仿真计算过程中施工仿真参数变 化的有效模拟。方法1. 通过对高拱坝施工过程的分析(图1),建立高 拱坝施工进度仿真的模型(图2 和3);2. 基于贝 叶斯更新方法,建立高拱坝施工仿真参数实时更 新方法(公式(4)~(8));3. 基于模糊集理论, 实现仿真过程中施工仿真参数实时更新;4. 将模 糊集理论与贝叶斯更新整合,建立模糊贝叶斯更 新方法,实现施工仿真参数实时更新(公式(17) 和(18));5. 将实时更新的施工仿真参数应用到 施工进度仿真中,实现施工进度的仿真分析。结论1. 采用贝叶斯更新方法,减小了施工仿真参数与 实际参数之间偏差程度;2. 采用模糊贝叶斯更新 方法,通过不断更新施工仿真参数,使得仿真计 算结果与实际施工状态更为接近。

[1]  Hsien-Chung Wu,et al.  Fuzzy reliability estimation using Bayesian approach , 2004, Comput. Ind. Eng..

[2]  Osonde Osoba,et al.  Bayesian Inference With Adaptive Fuzzy Priors and Likelihoods , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[3]  Tao Guan,et al.  Construction schedule optimization for high arch dams based on real-time interactive simulation , 2015 .

[4]  Kenneth F. Reinschmidt,et al.  Probabilistic Forecasting of Project Duration Using Bayesian Inference and the Beta Distribution , 2009 .

[5]  Donncha Kavanagh Siren: a repetitive construction simulation model , 1985 .

[6]  Moon Kyum Kim,et al.  Applicability of 4D CAD in Civil Engineering Construction: Case Study of a Cable-Stayed Bridge Project , 2011 .

[7]  Lingguang Song,et al.  Geographic Information System-Based Visual Simulation Methodology and Its Application in Concrete Dam Construction Processes , 2004 .

[8]  Simaan M. AbouRizk,et al.  Unified Modeling Methodology for Construction Simulation , 2002 .

[9]  Jun Zhang,et al.  Dynamic time-cost-quality tradeoff of rockfill dam construction based on real-time monitoring , 2017 .

[10]  Hsien-Chung Wu Fuzzy Bayesian system reliability assessment based on exponential distribution , 2006 .

[11]  Simaan M. AbouRizk,et al.  Bayesian Updating Application into Simulation in the North Edmonton Sanitary Trunk Tunnel Project , 2006 .

[12]  Chao Wang,et al.  Bayesian-Based Hybrid Simulation Approach to Project Completion Forecasting for Underground Construction , 2014 .

[13]  Hong Zhang,et al.  Activity Object-Oriented Simulation Strategy for Modeling Construction Operations , 2005 .

[14]  Paolo Gardoni,et al.  A Probabilistic Framework for Bayesian Adaptive Forecasting of Project Progress , 2007, Comput. Aided Civ. Infrastructure Eng..

[15]  Simaan M. AbouRizk,et al.  Modeling Framework and Architecture of Hybrid System Dynamics and Discrete Event Simulation for Construction , 2011, Comput. Aided Civ. Infrastructure Eng..

[16]  Bahram Sadeghpour Gildeh,et al.  Fuzzy Bayesian system reliability assessment based on prior two‐parameter exponential distribution under different loss functions , 2012, Softw. Test. Verification Reliab..

[17]  Carl T. Haas,et al.  Reliability-Based Hybrid Data Fusion Method for Adaptive Location Estimation in Construction , 2012 .

[18]  Mingchao Li,et al.  Theory on real-time control of construction quality and progress and its application to high arc dam , 2010 .

[19]  Yang Zhang,et al.  Design and Implementation of Loose-Coupling Visualization Components in a Distributed Construction Simulation Environment with HLA , 2012 .

[20]  Amin Hammad,et al.  Framework for near real-time simulation of earthmoving projects using location tracking technologies , 2014 .

[21]  Xing Liu,et al.  Information fusion diagnosis and early-warning method for monitoring the long-term service safety of high dams , 2012 .

[22]  Víctor Yepes,et al.  Complete fuzzy scheduling and fuzzy earned value management in construction projects , 2012 .