scholarly journals A geoelectrical pre-study of Älvkarleby test embankment dam: 3D forward modelling and effects of structural constraints on the 3D inversion model of zoned embankment dams

2021 ◽  
pp. 104355
Author(s):  
Reyhaneh Norooz ◽  
Per-Ivar Olsson ◽  
Torleif Dahlin ◽  
Thomas Günther ◽  
Christian Bernstone
Keyword(s):  
Structural Constraints ◽  
Forward Modelling ◽  
Embankment Dam ◽  
3D Inversion ◽  
Inversion Model ◽  
Embankment Dams ◽  
Test Embankment

Diagnosis of embankment dam distresses using Bayesian networks. Part I. Global-level characteristics based on a dam distress database

2011 ◽  
Vol 48 (11) ◽  
pp. 1630-1644 ◽  
Author(s):  
L.M. Zhang ◽  
Y. Xu ◽  
J.S. Jia ◽  
C. Zhao
Keyword(s):  
Bayesian Networks ◽  
Local Level ◽  
Companion Paper ◽  
General Information ◽  
Dam Safety ◽  
Global Level ◽  
Embankment Dam ◽  
The Public ◽  
Embankment Dams ◽  
Level Performance

Dam safety has drawn increasing attention from the public. To ensure dam safety, it is essential to diagnose any dam distresses and their causes properly. The main objective of this paper is to develop a robust probability-based tool using Bayesian networks for the diagnosis of embankment dam distresses at the global level based on past dam distress data. A database of 993 distressed in-service embankment dams in China has been compiled, including general information on the dams, distresses, and causes. Based on the database, general characteristics of embankment dam distresses are studied using Bayesian networks, which can tackle not only the multiplicity of dam distresses and causes, but also the complex interrelations among them. Common patterns and causes of distresses are identified. The interrelations among the dam distresses and their causes are quantified using conditional probabilities determined based on the historical frequencies from the dam distress database. A sensitivity analysis is also conducted to identify and rank the most important factors that cause the distresses. With the prior information of common characteristics extracted from the database, Bayesian networks are further used to diagnose a specific distressed dam at the local level by combining global-level performance records and project-specific evidence in a systematic structure, which is presented in a companion paper.

The statistics of embankment dam failures and accidents

2000 ◽  
Vol 37 (5) ◽  
pp. 1000-1024 ◽  
Author(s):  
Mark Foster ◽  
Robin Fell ◽  
Matt Spannagle
Keyword(s):  
Statistical Analysis ◽  
Slope Instability ◽  
Relative Influence ◽  
Soil Types ◽  
World Population ◽  
Embankment Dam ◽  
Embankment Dams ◽  
The World ◽  
Analysis Of Failures ◽  
Core Soil

The paper describes the results of a statistical analysis of failures and accidents of embankment dams, specifically concentrating on those incidents involving piping and slope instability. The compilation of dam incidents includes details on the characteristics of the dams, including dam zoning, filters, core soil types, compaction, foundation cutoff, and foundation geology. An assessment of the characteristics of the world population of dams was also carried out. By comparing the characteristics of the dams which have experienced failures and accidents to those of the population of dams, it was possible to assess the relative influence of particular factors on the likelihood of piping and slope instability.Key words: dams, failures, piping, instability database.

Test Embankment Dam of Fracture Grouting

1989 ◽  
Vol 115 (11) ◽  
pp. 1668-1672 ◽  
Author(s):  
Yu‐jiong Chen ◽  
Shu‐Iu Zhang
Keyword(s):  
Embankment Dam ◽  
Fracture Grouting ◽  
Test Embankment

scholarly journals Interpretasi Instrumentasi Piezometer Dalam Rangka Pemantauan Keamanan Bendungan Kedung Ombo

2021 ◽  
Vol 7 (2) ◽  
pp. 131-145
Author(s):  
Gerald Guntur Pandapotan Siregar ◽  
Fajar aldoko Kurniawan
Keyword(s):  
Pore Water ◽  
Pore Water Pressure ◽  
Water Pressure ◽  
Water Level Fluctuations ◽  
Embankment Dam ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Embankment Dams ◽  
The World ◽  
Earthfill Dams

The embankment dam is the most widely built dam in the world, especially in Indonesia. However, embankment dams are also prone to collapse. Dam failures due to the piping process through the dam body account for 30.5% of the total dam collapses worldwide. Therefore, it is necessary to periodically monitor and evaluate the condition of pore water pressure and seepage in a dam which is usually carried out using installed instrumentation. Very little has been done on instrumentation interpretation of earthfill dams in Indonesia, which is a very worrying condition. It is possible that old or even new dams have shown behavior that leads to a decrease in safety. This condition can be monitored by instrumentation in the dam if interpreted properly. Kedung Ombo Dam as an old embankment dam but has a fairly complete instrumentation can be evaluated for safety related to pore water pressure and phreatic line (seepage line). Pore water pressure evaluation is carried out by collecting piezometer readings and reservoir water level fluctuations over a period of several years. The results of the research on the interpretation of piezometer readings indicate that the overall safety of the Kedung Ombo dam is still good in terms of pore water pressure conditions. However, there are some anomalous conditions that should be investigated further

Investigation of a coarse alluvial foundation for an embankment dam

1986 ◽  
Vol 23 (2) ◽  
pp. 203-215 ◽  
Author(s):  
A. W. Hanna ◽  
G. Ambrosii ◽  
A. D. McConnell
Keyword(s):  
Relative Density ◽  
Shear Wave ◽  
Wave Velocity ◽  
Shear Wave Velocity ◽  
Penetration Resistance ◽  
Embankment Dam ◽  
Overburden Pressure ◽  
Alluvial Deposits ◽  
Dynamic Penetration ◽  
Test Embankment

Investigation of the coarse alluvial foundation for the Pichi Picun Leufu embankment dam is described and evaluated. Direct and indirect investigation methods are compared and an assessment is made of their relative adequacy in order to gain a realistic understanding of foundation conditions. Indirect methods—dynamic cone penetration testing and shear wave velocity measurement—calibrated by comparative testing in a test embankment, have been found to provide a satisfactory means of evaluating the density of thick alluvial deposits below the water table. Relationships of relative density, penetration resistance, and shear wave velocity are discussed. Dynamic penetration resistance normalized for effective overburden pressure appears to be the more sensitive indicator of changes in material density. Key words: coarse alluvium, relative density, dynamic penetration, shear wave velocity, test embankment, overburden pressure.

Efficiency of ground motion intensity measures with earthquake-induced earth dam deformations

2020 ◽  
pp. 875529302093881
Author(s):  
Richard Armstrong ◽  
Tadahiro Kishida ◽  
DongSoon Park
Keyword(s):  
Ground Motion ◽  
Hazard Analysis ◽  
Earth Dam ◽  
Deformation Analysis ◽  
Embankment Dam ◽  
Natural Period ◽  
Intensity Measures ◽  
Embankment Dams ◽  
Engineering Demand Parameter ◽  
Almost All

In a seismic hazard analysis (SHA), the earthquake loading level should be predicted for one or more ground motion intensity measures (IMs) that are expected to relate well with the engineering demand parameters (EDPs) of the site. In this study, the goal was to determine the IMs that best relate to embankment dam deformations based on nonlinear deformation analysis (NDA) results of two embankment dams with a large suite of recorded ground motions. The measure utilized to determine the “best” IM was standard deviation in the engineering demand parameter (e.g., deformation) for a given IM, also termed “efficiency.” Results of the study demonstrated that for the NDA model used, Arias intensity (AI) was found to be the most efficient predictor of embankment dam deformations. In terms of pseudo-spectral acceleration (PSA)-based IMs, the PSA at short periods and then in the general range of the natural period of the dams was seen to be the most efficient IM, but was in almost all cases not as efficient as AI.

scholarly journals Crustal structure beneath the Jiaodong Peninsula, North China, revealed with a 3D inversion model of magnetotelluric data

2018 ◽  
Vol 15 (6) ◽  
pp. 2442-2454 ◽  
Author(s):  
Kun Zhang ◽  
Qingtian Lü ◽  
Jiayong Yan ◽  
Hao Hu ◽  
GuangMing Fu ◽  
...  
Keyword(s):  
Crustal Structure ◽  
North China ◽  
3D Inversion ◽  
Magnetotelluric Data ◽  
Inversion Model ◽  
Jiaodong Peninsula

scholarly journals DYNAMIC RESPONSE AND STABILITY ANALYSES OF AKOSOMBO DAM USING NUMERICAL ANALYSIS

2021 ◽  
Vol 9 (10) ◽  
pp. 639-655
Author(s):  
Stephen A. Irinyemi ◽  
◽  
Domenico Lombardi ◽  
Syed M. Ahmad ◽  
◽  
...  
Keyword(s):  
Large Scale ◽  
Numerical Procedure ◽  
Embankment Dam ◽  
Embankment Dams ◽  
The People ◽  
Acceleration Time Histories ◽  
Non Linear ◽  
Time Histories ◽  
The Stability ◽  
Design Earthquake

Dams are very important in Ghanas economic development and environmental improvement. Although Ghana dams are seismically far from the active zone, accurately analysed dams should be evaluated since failure could severely impact the people in the flood environment and the regions economy on a large scale. This paper proposes a numerical procedure for the static, slope stability, and dynamic analysis of the Akosombo embankment dam. Nineteen horizontal acceleration time histories recorded data was used based on Maximum Design Earthquake (MDE), Maximum Credible Earthquake (MCE), Design Basis Earthquake (DBE) and Operating Basis Earthquake (OBE) data. The numerical results estimated showed that the Akosombo embankment dam is likely to experience moderate deformations during the different design earthquakes. The result also indicated that non-linear analysis capable of capturing dominant non-linear mechanisms could be used to assess the stability of embankment dams. The factor of safety (FS) calculated was greater than 1.5 for high reservoir, rapid drawdown condition and low reservoir condition whereas, the FS values were found to be 1.42 for slow drawdown condition.

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