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A complete scheme for solving the key scientific problems associated with high-standard, high-intensity continuous construction
of high arch dams was presented. First, based on a coupling analysis of construction system decomposition and coordination
for a high arc dam, a mathematical model for real-time control of construction quality and progress...
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... For example, Leung et al. [8] developed a system to support real-time captured images and video to provide the most updated status of construction sites for discussing and making immediate decisions regarding the monitored results of quality and progress by users. Similarly, Zhong et al. [9] proposed a real-time quality control mechanism that utilized PDAs to provide direct feedback to the contractor so as to improve the effectiveness of their decision-making. However, a limitation with previous real-time quality monitoring and control research is the inability to support data exchanges among physical objects, schedule and quality management data, particularly within a project that is being delivered within a building information modeling (BIM) environment. ...
Comprehensive and timely inspection of quality issues are critical for reducing rework and delays in infrastructure projects. Enabling a real-time quality checking guidance system to be used in practice requires formal data exchange methods and inspection process control. This, however, remains an on-going challenge, as information is often expressed in different data representations and stored in disparate locations and formats. There have been a limited number of studies that have examined the relationship among physical objects, schedule, and quality management information related to the process of inspection as well as the difficulties associated with enabling real-time monitoring and control of quality. In addressing this issue, a design science research approach is used to develop and apply an Industrial Foundation Classes-based Inspection Process Model (IFC-IPM) to enable information exchange requirements for quality-related information to occur in real-time during construction. Within the IFC-IPM schema and extension that is developed, a physical, schedule, and quality management model exist. The IFC-IPM extension defines the dynamic property sets that form part of quality management system. The dynamic property set of the schedule can identify inspection codes, time, and its content. This provides inspectors with the ability to undertake real-time quality monitoring and control. The IFC-IPM that is developed is applied to a real-life subway infrastructure project. It is demonstrated that the developed IFC-IPM provides an effective platform for data sharing and exchange of quality related information and other IFC-compliant applications. The model can be used to streamline the quality management process as it reduces the time to attend to undertake rework and increases the accuracy and timeliness of inspections and the acceptance of activities and products.
... WU et al [7] made safety evaluation on the 305 m high Jinping arch dam and its rock foundation in China. Zhong et al [8] made an analysis for the risk of damage of high arc dam in construction process. HAMIDREZA and VAHID [9] obtained an insight into the effects of sliding and joint opening at the contraction, perimeter and concrete lift joints on the nonlinear seismic response of arch dams. ...
The dynamic responses of the arch dam including dam-foundation-storage capacity of water system, using two different earthquake input models, i.e. viscous-spring artificial boundary (AB) condition and massless foundation (MF), were studied and analyzed for the 269 m high Baihetan arch dam under construction in China. By using different input models, the stress and opening of contraction joints (OCJs) of arch dam under strong shock were taken into consideration. The results show that the earthquake input models have slight influence on the responses including earthquake stresses and openings of contraction joints in different extents.
... The pouring scheme and the corresponding temperature control are the key measures for cracking prevention. Zhong et al. [140][141][142] conducted some research on the order of pour by pour and the temperature control scheme of dam concrete to predict the maximum temperature during the pouring process. The obtained achievements have been used in practice. ...
To develop national economy and use the water resources and hydropower resources sufficiently, a lot of high arch dams, with the height of more than 200 m, have been and will be built in China. Although arch dams have good mechanical behavior, there is still failure possibility due to the huge water pressure and high stress level in dam, complex topographic and geologic conditions, formidable environment and high intensity earthquake. As one of the three main aspects concerning the safety of high arch dam, the study on global destruction, has been elaborated in the literatures, and research advance in the other two aspects, namely the failure risk and local damage of high arch dams, will be reviewed in this paper. In recent years, the failure risk of high arch dams has been investigated, and the model for identifying dam failure risk factors has been established. It is shown that the foundation deterioration and strong earthquake are the major risk sources for high dam failure. With the fault tree method, the failure mode and failure probability of high arch dams are studied, and the principle for determining failure mode and the method of calculating failure probability are proposed. Meanwhile, the determination principle of acceptable risk standard for high arch dam was proposed, and the acceptable risk rate and the acceptable standard value of various risk losses were given. For the local damage of arch dam, it is pointed out that the local damage belongs to the strength failure at material level. The study on local failure mechanism of arch dam is reviewed, based on the theories that from traditional strength theory to damage mechanics and meso-mechanics theory. Aiming at the cracking, the main pattern of local failure of high concrete dam, the research advances in the analysis methods and cracking criteria for smeared crack model and discrete crack model are summarized, and the research findings of preventive measures for local failure are shown.
... The ICT provides the construction industry a potential tool to increase the efficiency and effectiveness of information exchanges within the organization. Jaafari and Manivong's [22] review on PM systems, Korde et al. [26] review on construction performance models, Zhang and Yuan [46] review on IT application on construction management and also Zhong et al [47] review on theories in real time project control. They highlighted several decades of improving functionality of ICT in the construction industry. ...
Progress monitoring and control is one of the most important tasks of managing projects. Basically, construction works produce a lot of information that are required by top managements to track the work progress at site. A recent issue highlighted by top managements is the inefficiency in obtaining information from project sites on time. Hence, the focus of this research is to establish a computerized information system that can be utilized by top managements in order to evaluate the construction progress, known as Executive Information Site Monitoring System (EISMS). In order to develop EISMS, a Classic Waterfall Model has been considered as a basis for the system development whereby it began with identifying the system requirement followed by the system design (product design and detail design), coding, integration and finally the system testing and implementation. As relevancy to research field, this paper focuses on the development of system requirement. The research is presented in two study phases. In the first phase, initially it was conducted a descriptive survey study on “important futures”, followed by a descriptive study also on managerial priorities in Key Performance Indicators (KPI) of EISMS. The survey results “work progress” as the most “important features” for the system. Furthermore, the survey addresses managerial priorities on KPI to be emphasized in EISMS. As the study shows, development of the system requires three primary databases which include planned work schedule, 3D-CAD drawing, and actual work completion at site. In second phase, it is to elaborate propose EISMS framework model. Furthermore, it designed in a novel monitoring and control algorithm to track the “work progress”. Initially, it was to compute planned and actual work progress and thus the schedule variance at any selected specific date. Within this study, a trial based version of EISMS schedule variance analysis was implemented during the construction phase of one case study to investigate any shortcoming of a developed system in calculating schedule variance of project.
The issue of dam type selection is a prevalent challenge in water resource allocation engineering. The site of the Y2 dam in China is suitable for building concrete arch dams and roller-compacted concrete (RCC) gravity dams. To determine which dam type is better in terms of construction progress, this paper proposes a multiattribute decision-making method based on construction simulation. First, the construction characteristics of concrete dams are analyzed, and the construction simulation systems for arch dams and gravity dams are developed based on construction simulation theory. Then, for each dam type, the initial construction schemes are used as the input of the simulation systems, and attribute values of construction progress are output. Secondly, a multiattribute decision-making method is used to select the typical scheme of each dam type from these initial schemes. Finally, the simulation results of the typical schemes for the arch dam and the RCC gravity dam are compared, to determine the optimal dam type for the Y2 dam. The results show that for the Y2 dam, the construction period of the arch dam is 34 months, and that of the RCC gravity dam is 28 months. From the perspective of construction progress, the Y2 dam type should select the RCC gravity dam. Compared with similar dams that have been built, it is concluded that the simulated progress result conforms to the current actual construction level, which also verifies the correctness of the calculation results and the reliability of the construction simulation.
Currently, construction projects are getting more complex, applying more information and communication technologies (ICT), while few studies use real-time data to dynamically optimize construction. The purpose of this article is to study the current development status of the optimization applied dynamically in the construction phase and their potential for applying real data collected by ICT. This article reviews 72 relevant optimization methods and identified some of the ICT research studies that can provide them with dynamic data. The dynamic triggering mode of each research is first analyzed, then its dynamic way, dynamic data, data resource, optimization object, and method are identified and formulated. The results reveal the great value of dynamic optimization in dealing with the complicated and uncertain contextual conditions in construction. Different dynamic triggering modes have different affinities with real data. Then, through the analysis of ICT articles, the huge potential of these dynamic optimization methods in applying real data is shown. This paper points out the most practical dynamic mode for engineers or managers to continuously apply optimization methods to solve dynamic problems in construction, and put forward scientific questions for related researchers: How does one combine ICT with the event dynamics or uncertain parameters? Based on this, the research gap of this area is identified a conceptual solution is proposed.
Joint grouting simulation is an important aspect of arch dam construction simulation. However, the current construction simulation model simplifies the temperature factors in joint grouting simulation, which leads to the difference between the simulation results and the actual construction schedule. Furthermore, the majority of existing temperature prediction research is based on deterministic point predictions, which cannot quantify the uncertainties of the prediction values. Thus, this study presents a real-time construction simulation method coupling a concrete temperature field interval prediction model to address these problems. First, a real-time construction simulation model is established. Secondly, this paper proposes a concrete temperature interval prediction method based on the hybrid-kernel relevance vector machine (HK-RVM) with the improved grasshopper optimization algorithm (IGOA). The hybrid-kernel method is adopted to ensure the prediction accuracy and generalization ability of the model. Additionally, the improved grasshopper optimization algorithm (IGOA), which utilizes the tent chaotic map and cosine adaptive method to improve the algorithm performance, is developed for the parameter optimization of HK-RVM. Thirdly, concept drift detection based on variable window technology is proposed to update the prediction model. Finally, an arch dam project in China is used as a case study, by which the superiority and applicability of the proposed method are proven.
For the characteristics of arch dam pouring process and the disadvantages of previous simulation tools, this paper proposes the idea of generating dam body in real time by 3D cutting method. With this method, only one 3D model of the dam body need to be established, then other 3D models can be generated based on the input data of the users, which can accurately and efficiently simulate the pouring process.
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. © 2018, Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature.
