Planning of Tunneling Projects Using Computer Simulation and Fuzzy Decision Making

Abdallah, Moatassem; Marzouk, Mohamed

doi:10.3846/13923730.2013.793608

Cited by 8 publications

(5 citation statements)

References 24 publications

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“…Nowadays, private partners are increasingly using more advanced and sophisticated methods of artificial intelligence: random forest (RF), neural networks (ANN), support vectors machine (SVM), fuzzy logic, genetic algorithms, etc. (Chou et al 2013;Abdallah, Marzouk 2013;Jingzhu, Ng 2013;Yazdani-Chamzini 2014). These methods can solve quite complex tasks and forecast the future results even with only partial project information.…”

Section: Theoretical Model For Effectiveness Evaluation Of Ppp Infrasmentioning

confidence: 99%

Modelling the Effectiveness of PPP Road Infrastructure Projects by Applying Random Forests

Rudzianskaite-Kvaraciejiene

Apanavičienė

Gelžinis

2015

Journal of Civil Engineering and Management

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Abstract. Transport sector is very important for development of local economies, so it is intensively studied in different countries. Road infrastructure construction projects in many European countries are mainly carried out through various forms of Public-Private Partnership (PPP). Financial evaluation, private partner selection criteria, technical characteristics and very important focus of sustainable development components (environmental, social and economic) of PPP road infrastructure development projects are widely analysed in the scientific literature. Although many research studies were published for PPP road infrastructure projects efficiency assessment from different aspects, there have not been created assessment methodology with all key areas incorporated altogether. The authors provide an integrated PPP road infrastructure projects effectiveness modelling methodology by applying Random Forest technique. The developed methodology is recommended to be applied for PPP road infrastructure projects effectiveness prediction from the private and public sector perspectives.

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Section: Theoretical Model For Effectiveness Evaluation Of Ppp Infrasmentioning

confidence: 99%

Modelling the Effectiveness of PPP Road Infrastructure Projects by Applying Random Forests

Rudzianskaite-Kvaraciejiene

Apanavičienė

Gelžinis

2015

Journal of Civil Engineering and Management

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“…Developing simulation models requires not only knowledge of using software but also an understanding of construction processes. The general descriptions of the C&C and microtunneling methods are not covered in this paper, as they are well covered in the literature [25,[37][38][39][40][41][42]. To develop the simulation models of microtunneling and C&C methods, the required activities are determined.…”

Section: Symbol Descriptionmentioning

confidence: 99%

“…Simulation modeling has been used to study, analyze, and plan various types of tunneling projects, such as [20][21][22][23][24]. However, few tunneling studies have used simulation to model C&C [25] and microtunneling [26][27][28][29][30] construction methods. Although simulation has been used for tunneling projects, such as water and metro tunnels, a lack of research on using stochastic simulation for MUT construction to compare the duration and cost of different construction methods remains.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Simulation of Construction Methods for Multi-purpose Utility Tunnels

Jorjam,

Mawlana,

Hammad

2023

Infrastructures

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The traditional method of installing underground utilities (e.g., water, sewer, gas pipes, electrical cables) by burying them under roads has been used for decades. However, the repeated excavations related to this method cause problems, such as traffic congestion and business disruption, which can significantly increase financial and social costs. Multi-purpose Utility Tunnels (MUTs) are a good alternative for buried utilities. Although the initial cost of MUTs is higher than that of the traditional method, social cost savings make them more feasible, especially in dense urban areas. Different factors, such as the specifications of utilities, the location of the MUTs, and the construction method, should be investigated to determine if MUTs can be an economical and practical alternative. The construction method is one of the most important factors to assess to have a successful MUT project and reduce its impact on the surrounding area. Simulation can be used to investigate the different construction methods of MUTs. In this paper, two Stochastic Discrete Event Simulation models depicting two MUT construction methods (i.e., microtunneling and cut-and-cover) are developed to analyze the duration and cost of the MUT projects. Also, 4D simulation models of these methods are developed for constructability assessment of these projects.

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“…These projects have usually long durations and large budgets due to their complexity, risks and uncertainties. In general, the conventional methods of tunneling have fewer processes, which make it easier for planning with traditional construction techniques such as preceding diagram method (PDM), critical path method (CPM), program evaluation and review techniques (PERT) or line of balance method (LOB) (Abdalla & Marzouk, 2013).…”

Section: Introductionmentioning

confidence: 99%

From Forecasting to Real-Time Process Controlling with Continuous Simulation Model Updates

Salloum¹,

Jodehl²,

Thewes³

et al. 2020

CIB W78 Proceedings

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Simulation models become widely used in the industry as they can provide a good prediction of a project's performance to support planning and decisionmaking. Process simulation is particularly interesting in mechanized tunneling projects, where processes interact very sophisticated. The productivity of such projects does not only depend on the performance of the main production processes, but is also significantly influenced by the performance of logistics and maintenance processes. In the planning phase, it is essential to analyze different supply systems and provide a detailed evaluation of them. So far, the simulation models developed are mainly used during the planning phase. However, during the execution of the project many parameters deviate from their predicted values and are subjected to uncertainties and unforeseen events that could not be considered beforehand. Hence, it is essential to be able to update the simulation model at different stages of the project to get a new prediction of the project performance and to enable an online-steering of the logistics processes. This paper proposes a method to perform a so-called continuous-update of a simulation model, including the validation of the implemented concept to proof that the validity of the online simulation model is maintained.

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Planning of Tunneling Projects Using Computer Simulation and Fuzzy Decision Making

Cited by 8 publications

References 24 publications

Modelling the Effectiveness of PPP Road Infrastructure Projects by Applying Random Forests

Modelling the Effectiveness of PPP Road Infrastructure Projects by Applying Random Forests

Stochastic Simulation of Construction Methods for Multi-purpose Utility Tunnels

From Forecasting to Real-Time Process Controlling with Continuous Simulation Model Updates

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