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Sami Shaffiee Haghshenas
Department of Civil Engineering, Islamic Azad University, Astara Branch, Astara,
Civil Engineering, Building, Construction & Architecture

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Fuzzy and Classical MCDM Techniques to Rank the Slope Stabilization Methods in a Rock-Fill Reservoir Dam Sina Shafiee Haghshenas; Reza Mikaeil; Sami Shaffiee Haghshenas; Masoud Zare Naghadehi; Pedram Sirati Moghadam
Civil Engineering Journal Vol 3, No 6 (2017): June
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1065.112 KB) | DOI: 10.28991/cej-2017-00000099

Abstract

Slope stabilization is one of the most crucial tasks in rock-fill reservoir dam projects to prevention of erosion and destruction of upstream and downstream slopes. Inappropriate choice and design of the protection can cause irreparable damages imposing additional costs and time to the project. In this paper, the body slope ranking is conducted by using the classical and fuzzy multi-criteria decision making approaches specifically VIKOR and Fuzzy-TOPSIS methods. To this aim, eight important and effective criteria were considered to select the most appropriate cover among five most common ones for protecting and conserving body slope of the rock-fill dams. The study was conducted on a dam in Bijar city located in the province of Guilan, the north of Iran. According to results of a comparative analysis using fuzzy and classical MCDM techniques, the concrete facing cover and the soil-cement cover have placed at the highest and lowest ranks to protect the body of the dam, respectively, suggested by both employed methods.
The Risk Assessment of Dam Construction Projects Using Fuzzy TOPSIS (Case Study: Alavian Earth Dam) Sina Shaffiee Haghshenas; Mir Ahmad Lashteh Neshaei; Pouyan Pourkazem; Sami Shaffiee Haghshenas
Civil Engineering Journal Vol 2, No 4 (2016): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.661 KB) | DOI: 10.28991/cej-2016-00000022

Abstract

One of the appropriate tools for conducting a successful project is the risk management during the implementation of the project. Dam construction projects are complex projects with high impact factors such as variable and uncertain conditions. To identify the risks of project, experts' experiences and comments including mind storm and consultation sessions were used. Risk analysis is a complex issue. Therefore, in this paper, the fuzzy multiple criteria decision making (FMCDM) technique was used to rank the risk which is a powerful and effective tool in solving complex problems under uncertain and implicit conditions. Due to the uncertainty in the language, fuzzy data were used for the quantitative analysis of the probability and severity of effects and the repetition of risks taken into account. The present research was conducted on Alavian dam in the northeast of Iran. Due to the result of the study, design mistakes' risk (R4) has the highest level of risk and earthquake, etc. has the lowest level of risk in Alavian dam project.
Utilization of Soft Computing for Risk Assessment of a Tunneling Project Using Geological Units Sina Shaffiee Haghshenas; Sami Shaffiee Haghshenas; Milad Barmal; Niloofar Farzan
Civil Engineering Journal Vol 2, No 7 (2016): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (718.734 KB) | DOI: 10.28991/cej-2016-00000040

Abstract

Soft computing is one of the most efficient tools for analysing risk taking in civil engineering projects. Therefore, in this paper, using Fuzzy C-means (FCM) technique as one of the most efficient and important classification methods in the area of soft computing, risk in the tunnelling project was evaluated and analysed. For this reason, considering three mechanical and physical parameters influencing the design and execution of the tunnelling project including overburden (H), internal friction angle (Phi) and cohesion (C), geological units were classified along the project's route. The present study has been conducted on the third section of Ghomrud tunnel as one of the greatest tunnelling projects in the centre of Iran. Results obtained from the evaluation of geological units along the tunnelling project's route after the validation of drilling rate index’s results show the appropriate evaluation of the project’s risk through fuzzy clustering technique.
Co-Authors Masoud Zare Naghadehi Milad Barmal Mir Ahmad Lashteh Neshaei Niloofar Farzan Pedram Sirati Moghadam Pouyan Pourkazem Reza Mikaeil Sina Shaffiee Haghshenas Sina Shaffiee Haghshenas Sina Shafiee Haghshenas