Seepage Comprehensive Evaluation of Concrete Dam Based on Grey Cluster Analysis

Abstract

Most concrete dams have seepage problems to some degree, so it is a common strategy to maintain ongoing monitoring and take timely repair measures. In order to grasp the real operation state of dam seepage, it is vital to analyze the measured data of each monitoring indicator and establish an appropriate prediction equation. However, dam seepage states under the load and environmental influences are very complicated, involving various monitoring indicators and multiple monitoring points of each indicator. For the purpose of maintaining the temporal continuity and spatial correlation of monitoring objects, this paper used a multi-indicator grey clustering analysis model to explore the grey correlation among various indicators, and realized a comprehensive evaluation of a dam seepage state by computation of the clustering coefficient. The case study shows that the proposed method can be successfully applied to the health monitoring of concrete dam seepage.

Optimization of Benefit Allocation in Contracted Water-Saving Projects Based on the Shapley Value Method

“…Wang and Lu [15] used energy management contracts to make a preliminary exploration of the CWSM mode and its operating mechanism. Recently, topics about baseline adjustment [9], water rights trading [6], and risk assessment [7,16] in CWSM projects have been studied.…”

“…Since the whole life cycle of CWSM projects in colleges/ universities involves many human interference factors, high risks, and complex relationships, this paper chooses the gray clustering method [16,38,39] to determine the risks of each stakeholder and adjust the proportion of benefit allocation…”

Improving Dam Seepage Prediction Using Back-Propagation Neural Network and Genetic Algorithm

“…Dam seepage monitoring variables are generally divided into two categories: uplift pressure and leakage. Taking the uplift pressure as an example, it is mainly affected by factors including water pressure, temperature, and time-effect [2,[20][21][22][23][24][25], which can be shown as…”

“…Engineering practice shows that the geological conditions of the dam section of the main river bed are complex and greatly influenced by the environmental factors. e seepage state in the overflow dam section should be paid more attention due to the frequently overflow influence [20]. erefore, the measuring points UP9 and UP11 of the overflow dam section are studied, shown in Figure 3.…”

Subdomain integration method of electrical resistance tomography for multiple flaws detection in cementitious materials

“…1 Steel corrosion, seepage, and crack of concrete are the dominant causes of the premature failure of a reinforced concrete structure. [2][3][4] To assess the state of a concrete component, a variety of non-destructive testing (NDT) methods including acoustic, 5 electromagnetics, 6 and radiation 7 based techniques have been developed and widely used. In last two decades, a non-destructive detection method, Electrical Resistance Tomography, has been proposed 8 and has attracted much attention in the field of civil engineering because of the advantages such as visualization, radiation-free, cheap electrical system, and so on.…”