scholarly journals DYNAMIC BEHAVIOR OF CONCRETE GRAVITY DAM ON JOINTED ROCK FOUNDATION DURING LARGE-SCALE EARTHQUAKE

2012 ◽  
Vol 68 (4) ◽  
pp. I_891-I_898
Author(s):  
Mahmoud YAZDANI
Keyword(s):  
Dynamic Behavior ◽  
Large Scale ◽  
Jointed Rock ◽  
Gravity Dam ◽  
Rock Foundation ◽  
Concrete Gravity Dam

Static and Coupled Hydro-mechanical Analyses of Concrete Gravity Dam Resting on Jointed Rock Foundation

2020 ◽  
Vol 38 (4) ◽  
pp. 4111-4127
Author(s):  
Ajay Rampal ◽  
Prasun Halder ◽  
Bappaditya Manna ◽  
K. G. Sharma
Keyword(s):  
Jointed Rock ◽  
Gravity Dam ◽  
Rock Foundation ◽  
Concrete Gravity Dam

scholarly journals Utilizing UAV and 3D Computer Vision for Visual Inspection of a Large Gravity Dam

2018 ◽  
Author(s):  
Ali Khaloo ◽  
David Lattanzi ◽  
Adam Jachimowicz
Keyword(s):  
Large Scale ◽  
Critical Infrastructure ◽  
Three Dimensional ◽  
Point Clouds ◽  
Gravity Dam ◽  
Concrete Gravity Dam ◽  
3D Computer Vision ◽  
3D Point Clouds ◽  
Safety Risks ◽  
Specialized Equipment

Dams are a critical infrastructure system for many communities, but they are also one of the most challenging to inspect. Dams are typically very large and complex structures, and the result is that inspections are often time-intensive and require expensive, specialized equipment and training to provide inspectors with comprehensive access to the structure. The scale and nature of dam inspections also introduces additional safety risks to the inspectors. Unmanned aerial vehicles (UAV) have the potential to address many of these challenges, particularly when used as a data acquisition platform for photogrammetric three-dimensional (3D) reconstruction and analysis, though the nature of both UAV and modern photogrammetric methods necessitates careful planning and coordination for integration. This paper presents a case study on one such integration at the Brighton Dam, a large-scale concrete gravity dam in Maryland, USA. A combination of multiple UAV platforms and multi-scale photogrammetry was used to create two comprehensive and high-resolution 3D point clouds of the dam and surrounding environment at intervals. These models were then assessed for their overall quality, as well as their ability to resolve flaws and defects that were artificially applied to the structure between inspection intervals. The results indicate that the integrated process is capable of generating models that accurately render a variety of defect types with sub-millimeter accuracy. Recommendations for mission planning and imaging specifications are provided as well.

scholarly journals Integrated Metaheuristic Differential Evolution Optimization Algorithm and Pseudo Static Analysis of Concrete Gravity Dam

2017 ◽  
Vol 3 (8) ◽  
pp. 617-625 ◽  
Author(s):  
Taher Memarian ◽  
Yaser Shahbazi
Keyword(s):  
Differential Evolution ◽  
Cross Section ◽  
Large Scale ◽  
Differential Evolution Algorithm ◽  
Goal Function ◽  
Geometric Parameters ◽  
Gravity Dam ◽  
Concrete Gravity Dam ◽  
Gravity Dams ◽  
De Algorithm

A differential evolution-algorithm-based optimum design method is presented for concrete gravity dams under stability, principal stress, and sliding constraints. A gravity dam is a large scale hydraulic structure providing its stability based on weight of concrete volume. Hence, optimization of dam cross-section leads to an economic and low cost structure. For this aim, a general dam section is reconstructed with seven proper horizontal and vertical geometric parameters which take into account all possible cross section shapes. Weight of dam is considered as goal function and the optimization problem of geometric parameters is solved using DE algorithm. The DE algorithm written as a MATLAB code are applied to Four benchmark gravity dams including Middle Fork, Richard, Pine Flat, and Friant. The comparison of DE optimum solutions with real dimension of dams and another optimization method in literature shows the performance of the DE algorithm. In mentioned benchmark dams, there are 26.82%, 30.11%, 25.31%, and 20.93% of weight reduction Compared to real values, respectively. Also, optimization results of DE algorithm are compared with literatures. The comparison shows 3.55%, 5.1%, 19.13% and 12.14% reduction of weight compared to GA and PSOD algorithms, respectively.

Assessment of the Applicability of Pushover Analysis for a Concrete Gravity Dam

2018 ◽  
Vol 9 (5) ◽  
pp. 181
Author(s):  
Machach Laila ◽  
Mouzzoun Mouloud ◽  
Moustachi Oum El Khaiat ◽  
Taleb Ali
Keyword(s):  
Pushover Analysis ◽  
Gravity Dam ◽  
Concrete Gravity Dam
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