排序方式： 共有3条查询结果，搜索用时 0 毫秒
1
1.
Farrokhzad Farzad MotahariTabari SeyedArmin Abdolghafoorkashani Hamid Tavakoli Hamidreza 《Geotechnical and Geological Engineering》2021,39(6):4071-4091
Geotechnical and Geological Engineering - Soil nailing is an in-situ soil reinforcement technique that is used to enhance the stability of land slopes, retaining walls and excavations. This... 相似文献
2.
Farrokhzad Farzad Golpour Ebrahim Taghavinezhad Maryam Choobbasti Asskar Janalizadeh 《Geotechnical and Geological Engineering》2021,39(8):5665-5674
Geotechnical and Geological Engineering - Due to the economic and tourist importance of Bandar-e Anzali coastal zone and also the high seismic risk in this area, this article provides an... 相似文献
3.
Prediction of slope stability using artificial neural network (case study: Noabad, Mazandaran, Iran) 总被引：5，自引：3，他引：2
Investigations of failures of soil masses are subjects touching both geology and engineering. These investigations call the joint efforts of engineering geologists and geotechnical engineers. Geotechnical engineers have to pay particular attention to geology, ground water, and shear strength of soils in assessing slope stability. Artificial neural networks (ANNs) are very sophisticated modeling techniques, capable of modeling extremely complex functions. In particular, neural networks are nonlinear. In this research, with respect to the above advantages, ANN systems consisting of multilayer perceptron networks are developed to predict slope stability in a specified location, based on the available site investigation data from Noabad, Mazandaran, Iran. Several important parameters, including total stress, effective stress, angle of slope, coefficient of cohesion, internal friction angle, and horizontal coefficient of earthquake, were used as the input parameters, while the slope stability was the output parameter. The results are compared with the classical methods of limit equilibrium to check the ANN model’s validity. 相似文献
1