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| 1 | Feasibility evaluation for excavation of Naghshe Jahan Square subway station by underground methods显示文摘In recent years, in reaction to the increasing usage of urban areas, the excavation of underground spaces has been developed. One of the most challenging issues encountered by engineers is the construction of subway stations as large underground spaces at shallow depth with soft surrounding soils. In this paper, Naghshe Jahan Square subway station located in Isfahan, Iran, has been simulated by geomechanical fnite difference method(FDM). This station is located under important historical structures. Therefore, the ground displacement and surface settlement induced by the excavation of the subway station should be strictly controlled. Many of such problems are affected by selected excavation method. For these reasons, different underground excavation methods associated with construction have been studied. In this study, sequential excavation method and large-diameter curved pipe roofng method are used and the numerical results of the two methods are compared. The presence of groundwater table obliges us to choose special techniques for the stability of the ground around the subway station during construction; hence compressed air and ground freezing techniques are utilized in the simulations of the subway station. Finally, after choosing appropriate support systems, the large-diameter curved pipe roofng method with 1.5 m spacing between curved pipes is proposed. | Morteza Abdi Cherlo Hamid Hashemolhosseini Masoud Cheraghi Saeed Mahdevari | 2013 | Journal of Rock Mechanics and Geotechnical Engineering2013，5，6： | 3 |
| 2 | Human health and safety risks management in underground coal mines using fuzzy TOPSIS显示文摘 | Satar Mahdevari Kourosh Shahriar Akbar Esfahanipour | 2014 | Science of the Total Environment2014，，： | 1 |
| 3 | AdynamicallyapproachbasedonSVMalgo-rithmforpredictionoftunnelconvergenceduringexcava-tion 显示文摘 | Satar Mahdevari HamidShirzadHaghighat SeyedRah-manTorabi | 2013 | Tunnellingand UndergroundSpaceTechnolo-gy2013，，38： | 1 |
| 4 | A support vector regression model for predicting tunnel boring machine penetration rates 显示文摘 | Mahdevari S Shahriar K Yagiz S | 2014 | International Journal of Rock Mechanics and Mining Sciences2014，72，12： | 1 |
| 5 | A support vector regression model for predicting tunnel boring machine penetration rates显示文摘 | Mahdevari S Shahriar K Yagiz S | 2014 | International Journal of Rock Mechanics and Mining Sciences2014，，72： | 1 |
| 6 | Prediction of tunnel convergence using artificial neural networks显示文摘 | MAHDEVARI S TORABI S R | 2012 | Tunneling and Underground Space Technology2012，28，： | 1 |
| 7 | Application of artificial intelligence algorithms in predicting tunnel convergence to avoid TBM jamming phenomenon显示文摘 | Satar Mahdevari Seyed Rahman Torabi Masoud Monjezi | 2012 | International Journal of Rock Mechanics and Mining Sciences2012，，： | 1 |
| 8 | Prediction of tunnel convergence using Artificial Neural Networks显示文摘 | Satar Mahdevari Seyed Rahman Torabi | 2011 | Tunnelling and Underground Space Technology incorporating Trenchless Technology Research2011，，： | 1 |
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