Tailings dams are constructed as storage for ore waste, serving industrial waste piles and drainage. The dam is negatively affected by rainfall, infiltration lines its own gravity, which can cause instability to gradually increase, leading deformation. To predict the irregular changes of tailings deformation, empirical mode decomposition (EMD) applied deformation data obtain trend periodic comp...

In the context of dam deformation monitoring, prediction task is essentially a time series problem that involves non-stationarity and complex influencing factors. To enhance accuracy predictions address challenges posed by high randomness parameter selection in LSTM models, novel approach called sparrow search algorithm–long short-term memory (SSA–LSTM) has been proposed for predicting concrete...

Although constructing a dam can bring significant economic and social benefits to region, it be catastrophic for the population living downstream when breaks. Given dynamic nonlinear characteristics of deformation, traditional prediction model has been unable meet actual engineering demands. Consequently, this paper advocates novel method solve issue. The proposed is based on optimization impro...

This article uses the finite element software ABAQUS to establish a three-dimensional model based on overflow dam section 12 # ~15 and surface outlet of Chushandian gravity dam. The stress displacement distribution under normal water storage level are analyzed; On this basis, modal analysis is conducted study impact dam's own conditions operation research shows that: (1) Under condition height ...

A Global Navigation Satellite System (GNSS) is a very popular technology for „24/7‟ monitoring of slow structural deformation. Unfortunately a GNSS is dependent on the number as well as geometric distribution of the available satellites, and the precision may therefore vary at different observation times. On the other hand, Locata Corporation‟s positioning technology, known as “Locata”, provide...