scholarly journals Obtaining a Real Natural Numerical Landslide Model by Comparing Measurement and Predicted Values: A Case Study of Kavşakbendi̇ Dam Left Bank Andirap Landslide

2021 ◽  
Author(s):  
Resul Pamuk ◽  
Murat Eröz ◽  
Kemal Tuncer ◽  
Havvanur Kılıç
Keyword(s):  
Laboratory Research ◽  
Left Bank ◽  
Dam Construction ◽  
Construction Work ◽  
Landslide Mass ◽  
Sliding Mechanism ◽  
Predicted Values ◽  
Earthquake Effects ◽  
Landslide Model

Abstract The Andırap landslide is located on the left bank of the Kavşakbendi dam approximately 50 km from the Kozan district of Adana province in Turkey. After it was determined that the mass stability was impaired during the dam construction work, the landslide movements were followed by surface geodetic measurements and inclinometers. According to the measurements that were taken, displacements totaling 0.10 m were measured between 2010 and 2017, and it was determined that the speed of movement slowed considerably between 2017 and 2020. In this study, the results of stress-strain and stability analyses were evaluated taking into account the soil model created based on extensive site and laboratory research to examine the sliding mechanism of the Andırap landslide mass. After the numerical model was verified using site measurements, the movements of the landslide mass were examined by numerical analyses, taking into account the different loading conditions that may be encountered during the service life of the dam. According to the results of the analysis, no global slide was observed for the slip circle of the Andırap landslide and in the analyses conducted for the situation where the reservoir is full, the deep displacement of 0.11 m was consistent with the average displacement of 0.04 and 0.11 m deformation values measured from inclinometers. In the analyses carried out for the loading condition featuring a full reservoir and earthquake effects, it was calculated that shallow displacements reached up to 1.0 m, but deep displacements were 0.13 m.

The Calculation of Turbulent Diffusion Coefficients in Aquatic Ecosystems

2019 ◽  
Vol 70 (11) ◽  
pp. 3903-3907
Author(s):  
Galina Marusic ◽  
Valeriu Panaitescu
Keyword(s):  
Transport Equation ◽  
Turbulent Diffusion ◽  
Diffusion Coefficients ◽  
Aquatic Ecosystems ◽  
Specific Area ◽  
Left Bank ◽  
The Right ◽  
Prut River

The paper deals with the issues related to the pollution of aquatic ecosystems. The influence of turbulence on the transport and dispersion of pollutants in the mentioned systems, as well as the calculation of the turbulent diffusion coefficients are studied. A case study on the determination of turbulent diffusion coefficients for some sectors of the Prut River is presented. A new method is proposed for the determination of the turbulent diffusion coefficients in the pollutant transport equation for specific sectors of a river, according to the associated number of P�clet, calculated for each specific area: the left bank, the right bank and the middle of the river.

scholarly journals Engineering Geological and Geotechnical Approaches for the Construction of Powerhouse Cavern of Tehri Pumped Storage Plant (1000 MW) - A Case Study

2019 ◽  
Vol 24 ◽  
pp. 35-44
Author(s):  
Rajeev Prasad ◽  
Nishith Sharma
Keyword(s):  
Underground Structure ◽  
Shear Zones ◽  
Structural Features ◽  
Geological Mapping ◽  
Left Bank ◽  
Rock Composition ◽  
Northern India ◽  
Set Up ◽  
Pumped Storage

Construction of underground Cavern in the Himalayan region is full of challenges and uncertainties. Experience has shown that construction in Himalayan regions requires good understanding of geology, adequate site investigations, proper design and selection of suitable construction methodology and technology. The most commonly encountered geological problems during excavation of underground structure in Hydroelectric Projects are, Fault/Thrust/Shear Zones squeezing and swelling, wedge block failure etc. Tehri Pumped Storage Plant (PSP) is located at the left bank of river Bhagirathi in the state of Uttarakhand in Northern India. This case study indicates about the geological challenges faced and their remedial measures during the construction of Tehri PSP Powerhouse Cavern having dimension of 203m x 24m x 58m.3D-geological mapping with 1:100 scales was carried out in excavated central drift of powerhouse to evaluate the rock composition, behavior of rock mass, structural features and further investigation to finalize the layout and orientation. During the investigation Sheared Phyllite with bands of thinly Phyllite Quartzite rock were encountered in the end portion of central drift of powerhouse which had posed a mammoth challenge in designing the powerhouse cavern. Keeping in view the recommendations of geotechnical experts and the design consultants, decision were made to shift the cavern further by 50 m to avoid Sheared Phyllite bands. The shifting of cavern led to the reorientation of structures like control room, service bay and location of units etc. This paper briefly describes the Engineering Geological and Geotechnical set up of powerhouse with proper investigation approaches and excavation sequences highlighting the importance of orientation and Sheared Phyllite Zone.

Implementing the Life Cycle Cost Analysis in a Building Design

2017 ◽  
Vol 21 ◽  
pp. 581-586 ◽  
Author(s):  
Raluca Dania Todor ◽  
Mircea Horne Horneț ◽  
Nicolae Fani Iordan
Keyword(s):  
Life Cycle ◽  
Cost Analysis ◽  
Life Cycle Cost ◽  
Evaluation Process ◽  
Building Design ◽  
Laboratory Research ◽  
Life Cycle Cost Analysis ◽  
Natural Lighting ◽  
Broad Overview

In the context of increasing concerns for sustainable development new comprehensive methods are developed by builders and architects in order to reduce the environmental impact of buildings. Life Cycle Cost Analysis (LCCA) is one of these methods, perhaps the most functional one for the evaluation process. Using this LCCA contributes to the integration of the design process and helps identify opportunities for energy efficiency, such as appropriate zoning, natural lighting and design optimization of heating, ventilation and air conditioning (HVAC). It also helps in finding the best solutions for reducing overall costs. LCCA is very little known in Romania and quasi unused practice for building design and for this reason the present paper contains a broad overview of the methodology and it’s uses highlighting its main advantages and a case study of the building design intended for laboratory research. The analyzed building is one of the 12 identical buildings of Transilvania University Research and Development Institute from Brasov.

PROGNOS, ein Programm zur Prognose von Eindringtiefen bei der Applikation von SteinschutzstofTen auf Naturstein / PROGNOS, a program to predict the penetration depth of conserving fluids in natural stone

1996 ◽  
Vol 2 (5) ◽  
pp. 365-374
Author(s):  
J. Schoonbrood
Keyword(s):  
Computer Program ◽  
Penetration Depth ◽  
Natural Stone ◽  
Laboratory Research ◽  
High Quality ◽  
High Penetration ◽  
Predicted Values

Abstract In order to achieve a high quality in the field of conservation of natural stone surfaces it is most important to realize a high penetration depth of the conserving fluids on the besis of extensive laboratory research on the application of conserving fluids the relation between important factors such as quantity absorbed, duration of application, penetration depth, and selected practical relevant conditions has been established. With these results it was possible to develop a computer program which is able to predict penetration depth for a random choise of practical conditions of application. By the option of the comparision of stored real and predicted values of penetration depth destructive tests on the object are quite superfluous.

scholarly journals Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1852 ◽  
Author(s):  
Jiang Wu ◽  
Feng Miu ◽  
Taiyong Li
Keyword(s):  
Crude Oil ◽  
Critical Role ◽  
Oil Prices ◽  
Ensemble Empirical Mode Decomposition ◽  
Functional Link ◽  
Intrinsic Factors ◽  
Crude Oil Prices ◽  
Target Values ◽  
Predicted Values

Crude oil is one of the strategic energies and plays an increasingly critical role effecting on the world economic development. The fluctuations of crude oil prices are caused by various extrinsic and intrinsic factors and usually demonstrate complex characteristics. Therefore, it is a great challenge for accurately forecasting crude oil prices. In this study, a self-optimizing ensemble learning model incorporating the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), sine cosine algorithm (SCA), and random vector functional link (RVFL) neural network, namely ICEEMDAN-SCA-RVFL, is proposed to forecast crude oil prices. Firstly, we employ ICEEMDAN to decompose the raw series of crude oil prices into a group of relatively simple subseries. Secondly, RVFL is used to forecast the target values for each decomposed subseries individually. Due to the complex parameter settings of ICEEMDAN and RVFL, SCA is introduced to optimize the parameters for ICEEMDAN and RVFL in the above decomposition and prediction stages simultaneously. Finally, we assemble the predicted values of all individual subseries as the final predicted values of crude oil prices. Our proposed ICEEMDAN-SCA-RVFL significantly outperforms the single and ensemble benchmark models, as demonstrated by a case study conducted using the time series of West Texas Intermediate (WTI) daily crude oil spot prices.

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