Inversion analysis is usually an efficient solution to process the monitoring data of earth-rockfill dams. However, it still difficult obtain calculation results that are consistent with due different construction statuses. To deal this situation and introduce a new improve accuracy, general method inversion based on back-propagation neural networks original step-by-step assuming parameters con...

Supplying power to remote areas may be a challenge, even for those communities already connected to the main grid. Power is often transmitted from long distances, under adverse weather conditions, and with aged equipment. As a rule, modernizing grid infrastructure in such areas to make it more resilient faces certain financial limitations. Local distribution may face stability issues and disrup...

This research intends to develop a method based on the Artificial Neural Network (ANN) to predict permanent earthquake-induced deformation of the earth dams and embankments. For this purpose, data sets of observations from 152 published case histories on the performance of the earth dams and embankments, during the past earthquakes, was used. In order to predict earthquake-induced deformation o...

A grid-based collaborative virtual geographic environment for the planning of silt dam systems Lin Hui a; Zhu Jun ab; Gong Jianhua c; Xu Bingli a; Qi Hua b a Institute of Space and Earth Information Science, The Chinese University, Hong Kong, China b Surveying Engineering Department, Southwest Jiaotong University, Chengdu, China c State Key Laboratory of Remote Sensing Science, Institute of Rem...

The seepage and slope stability are very important and necessary in the dam dirt are, therefore, in this context, numerous applications to predict and calculate the rate of leakage has been prepared that than the experimental time and cost savings for the analysis of liquids before construction of earth dams need. In this study, safety factors for slope stability software Kaboodwal  plaxis two-...