Large Deformation Numerical Simulations Regarding Soil Plugging Behaviour Inside Open-Ended Piles

2012 ◽  
Author(s):  
Sascha Henke
Keyword(s):  
Numerical Models ◽  
Soil Plug ◽  
Factors Affecting ◽  
Pile Installation ◽  
Pile Diameter ◽  
Key Factor ◽  
Vertical Bearing ◽  
The One ◽  
Plug Formation ◽  
The Impact

Soil-plugging inside open-ended piles is a well-known phenomenon which increases vertical bearing capacity on the one hand but also leads to increasing driving resistance. There are many different factors affecting the tendency of soil-plug formation like pile diameter, geometry of the pile, installation method, soil density and so on. With the basis of experimental data numerical models to simulate the pile installation process to better understand the mechanisms of soil plugging inside open-ended piles are validated. The validated numerical models are used to examine different aspects regarding the phenomenon of soil plug formation. First, the evolution of internal and external shaft friction is investigated in more detail with focus on pile diameter. Furthermore, the impact of internal reinforcements like internal rings are investigated numerically. The shape of the internal ring is varied throughout this study to evaluate the influence of this key factor on internal stress development.

Full-Scale Site Investigations on Soil-Plugging Inside Tubular Piles

2012 ◽  
Author(s):  
Sascha Henke
Keyword(s):  
Soil Column ◽  
Present Contribution ◽  
Factors Affecting ◽  
Pile Installation ◽  
Site Investigations ◽  
Pile Diameter ◽  
External Stresses ◽  
Vertical Bearing ◽  
The One ◽  
Analytical Approaches

Soil-plugging inside open-ended piles is a well-known phenomenon which increases vertical bearing capacity on the one hand but also leads to increasing driving resistance. There are many different factors affecting the tendency of soil-plug formation like pile diameter, geometry of the pile, installation method, soil density and so on. In the present contribution, in-situ measurements regarding two tubular piles with a diameter of 71 cm are presented. The piles are first vibratory driven up to 6.5 m penetration and afterwards they are impact driven to their final penetration depth. During the installation internal and external stresses at the pile toe and accelerations and strains at the pile head are measured on both piles. Furthermore, one pile is equipped with a cone penetrometer inside the pile to monitor cone and shaft resistance during the installation. At the end of the installation the height of the internal soil column is measured. The results are discussed with focus on the installation method on soil plugging tendency. Concluding they are compared to classical analytical approaches.

Numerical Simulations Concerning the Tendency of Soil Plugging in Open-Ended Steel-Piles

2009 ◽  
Author(s):  
Sascha Henke ◽  
Ju¨rgen Grabe
Keyword(s):  
Finite Element Method ◽  
Granular Soil ◽  
Soil Density ◽  
Soil Plug ◽  
Pile Installation ◽  
Pile Diameter ◽  
Rigid Pile ◽  
Steel Piles ◽  
Plug Formation

The development of soil plug inside open-ended steel-piles is investigated using Finite-Element method. The penetration of a rigid pile with various diameter into granular soil is simulated numerically to better understand the mechanisms which occur during pile installation inside the open-ended piles. The numerical results are analyzed for a better understanding of the influence of the installation method on soil plugging. The received results are compared to experimental results out of literature. Concluding, a parametric study is fulfilled to examine the role of soil density and pile diameter concerning the tendency of plug formation inside a jacked pile.

Evaluating the effect of subsidies for rural development on agri-food and forestry firms

2019 ◽  
Vol 27 (80) ◽  
pp. 150-167
Author(s):  
José A. Pérez-Méndez ◽  
María Pérez-Urdiales ◽  
David Roibas
Keyword(s):  
Rural Development ◽  
Technical Efficiency ◽  
Technical Progress ◽  
Stochastic Frontier ◽  
Content Type ◽  
Factors Affecting ◽  
Forestry Industry ◽  
The One ◽  
The Impact ◽  
Positive Effect

Purpose This paper aims to evaluate the impact of the subsidies established by Measure 123 of the Rural Development Policy on the productivity of a sample of agri-food and forestry companies in the region of Asturias over the period 2006-2009. Design/methodology/approach The authors estimate a stochastic frontier function which allows subsidies to be considered as affecting both the level of technical efficiency and technical progress. Findings The results show that while subsidies have a positive effect on the technical progress of companies in the agri-food industry, for the forestry industry, the effect materializes as an improvement in technical efficiency. Additionally, other factors affecting either, technical progress and technical efficiency were identified. Originality/value This study adopts a model that allows the separate identification of the effect of subsidies on the level of efficiency, on the one hand, and on the technical progress, on the other.

scholarly journals Analysis of Major Rainfall Factors Affecting Inundation Based on Observed Rainfall and Random Forest

2020 ◽  
Vol 20 (6) ◽  
pp. 301-310
Author(s):  
Hyunil Kim ◽  
Byunghyun Kim
Keyword(s):  
Random Forest ◽  
Numerical Models ◽  
Statistical Characteristics ◽  
Target Area ◽  
Two Dimensional ◽  
Weather System ◽  
Urban Flood ◽  
Maximum Rainfall ◽  
Factors Affecting ◽  
The Impact

It is important to analyze urban floods according to uncertain rainfall patterns. This study was carried out to determine key statistical characteristics of rainfall affecting the occurrences of flooding by using observed rainfall, one- and two-dimensional hydraulic analysis models, and random forests. The target area selected was the Centum City area of Busan, where flooding occurs frequently with heavy rainfall. For analysis, the rainfall data from the Automatic Weather System (AWS) and radar observatory in the entire city of Busan were collected. Using the results from the one- and two-dimensional numerical models, the occurrence of flooding was determined according to the observed rainfall events. The random forest was used to classify the presence or absence of flooding according to the statistical characteristics of rainfall, and the importance evaluation function was applied to determine the impact of each statistical factor. The three main statistical factors of rainfall with the greatest impact on the occurrence of flooding were analyzed as the 1-hr maximum rainfall, the average rainfall, and the skewness. On the other hand, the three main factors affecting the maximum flood depth were the 3-hrs maximum rainfall, the 1-hr maximum rainfall, and the total rainfall. It is judged that the results of this study will be useful in suggesting quantitative urban flood forecasting standards when rainfall is examined in real-time by using various observation equipment.

scholarly journals Research on Key Factors Affecting Power Supply and Demand Trend Based on Complex Correlation

2020 ◽  
Vol 165 ◽  
pp. 06022
Author(s):  
Dunnan Liu ◽  
Rui Ge ◽  
Pengfei Li ◽  
Hua Li ◽  
Shanzhe Shi ◽  
...  
Keyword(s):  
Supply And Demand ◽  
Two Dimensions ◽  
Key Factors ◽  
Factors Affecting ◽  
Market Participants ◽  
Key Factor ◽  
Complex Correlation ◽  
Rule Analysis ◽  
The Impact ◽  
Big Data Technology

The market behaviors of the supply and demand sides in the power market are the issues that market participants, operators and regulators are most concerned about. This article starts from the two dimensions of power generation market behavior and demand market behaviour, analyzes the impact of power transaction behavior on supply and demand trend changes, and then studies the function of big data technology in correlation analysis. The qualitative data is converted into quantitative data, and then gray rule analysis and correlation coefficient analysis are used to mine association rules. The results show that demand response is the key factor that affects the change of load trend.

scholarly journals Analysis of Factors Affecting the Environmental Impact of Concrete Structures

2020 ◽  
Vol 13 (1) ◽  
pp. 204
Author(s):  
Daniel Wałach
Keyword(s):  
Environmental Impact ◽  
Concrete Structures ◽  
Construction Materials ◽  
Life Cycles ◽  
Structural Elements ◽  
Factors Affecting ◽  
Concrete Objects ◽  
Materials Used ◽  
The One ◽  
The Impact

Concrete is the one of the most important construction materials not only in terms of its global consumption but also environmental impact. However, there are many possibilities to reduce the environmental impact of concrete structures. This paper presents a set of factors determining the environmental impact of subsequent stages in the life cycles of concrete objects. In the research, the method of deduction and mathematical logic was applied to identify the parameters. Using the DEMATEL method, the significance of the identified factors was determined. An influential relation map allowed to specify a set of important parameters (causes) that affect the impact of the structure on the environment. The most important causes include: Concrete class, structural loads, static of the structure, materials used, and their suppliers as well as the volume of structural elements. The results of the analysis both confirmed the previous findings, as well as shows a set of indicators not previously highlighted. The cause-and-effect relationships between the parameters, and its significance was also determined. The results enable to indicate further directions of reducing the environmental impact of the concrete structure.

scholarly journals SOSIALISASI PENTINGNYA TIDAK MEMBUANG AIR BESAR DI SUNGAI (STOP BABS) DI DESA GAMPANG KECAMATAN PRAMBON

2017 ◽  
Vol 1 (1) ◽  
pp. 43-48
Author(s):  
Shoim Anwar
Keyword(s):  
Direct Contact ◽  
River Flow ◽  
Flow Characteristics ◽  
Influential Factor ◽  
Factors Affecting ◽  
Intentional Behavior ◽  
The People ◽  
The One ◽  
The Impact ◽  
The Village

Sanitation is the one component of environmental health as intentional behavior for cultivate human hygiene to prevent direct contact with dirt and other hazardous waste material, with the hope to maintain and improve human health. This is because, the environment may play a direct cause influential factor in supporting the outbreak of disease and as factors affecting the course of the disease. All feces is a medium as breeding and seed base of infectious diseases. The impact of the disease is most often caused by defecation to the river is the widespread bacterium Escherichia coli, which can cause diarrhea. After that could be dehydrated, and because of the condition of human body’s down then get other diseases. The river is a very important source of water to support human’s life. Dynamism watersheds are influenced by the weather, river flow characteristics and human behaviour of the people who live around the river banks. As a result of effluent from people behaviour causes disturbance to the ecosystem of the river flow. Starting from the non-fulfillment of water quality 3B standarts (colorless, odorless and non-toxic), reduced numbers of fish and water animals, the emergence of a rundown neighborhood until the emergence of health problems and others, therefore, to KKN-PPM in the field of Environmental Sanitation and Supply water in the village Easy in Subdisrtict Prambon, Sidoarjo, the program will be made by "socialization of Great Importance Not Throw water on the River (STOP BABS)".

The dark side of e-petitions? Exploring anonymous signatures

First Monday ◽  
2017 ◽  
Author(s):  
Janne Berg
Keyword(s):  
Content Analysis ◽  
Political Participation ◽  
The Other ◽  
Dark Side ◽  
Factors Affecting ◽  
Quantitative Content ◽  
Key Factor ◽  
Anonymous Signatures ◽  
The One ◽  
The Right

This paper analyzes anonymous political participation in the form of e-petition signing. The purpose of this study is to increase knowledge about patterns behind anonymous e-petition signing. Since online political participation evokes an important discussion about the balance between the need for transparency on the one hand, and the right for anonymity on the other hand, it is crucial to increase our knowledge of the factors affecting citizens’ choices to remain anonymous. Using quantitative content analysis of 220 informal e-petitions on the site adressit.com in Finland, this study seeks to find possible determinants for the share of anonymous signatures. Findings indicate that the type of demand presented in the e-petition is a key factor predicting the share of anonymous signatures.

scholarly journals Insurance company competitiveness management in the context of its marketing policy

2019 ◽  
pp. 22-24
Author(s):  
Viktor SMOLIAK
Keyword(s):  
Correct Choice ◽  
Insurance Market ◽  
Insurance Companies ◽  
Insurance Company ◽  
Mathematical Methods ◽  
Cost Structures ◽  
Marketing Policy ◽  
Key Factor ◽  
The One ◽  
The Impact

Competition is an integral part of the insurance market in Ukraine. That is why it is a key factor in the strategy of the insurance company, and marketing policy is an integral part of it. The competition of insurance companies is aimed at expanding its insurance market share. The purpose of the paper is development of theoretical foundations and practical recommendations for insurance company competitiveness management in the context of its marketing policy. Currently, there is a significant reduction in the number of insurance companies at the insurance market in Ukraine. 79 insurance companies left the market from the beginning of 2018 to the third quarter of 2020. Competition encourages insurance companies to invent innovative insurance products, implement new marketing tools, and optimize cost structures. The author performed a cluster analysis of insurers in the field of two factors – the volume of assets and the amount of net earned premiums. Economic and mathematical methods were used to analyze the impact of sales costs (X) on the amount of net earned insurance premiums (Y). The high value of the correlation coefficient indicates a close linear relationship between the factor and the resulting indicator. The digitalization of the world economy has significant impact on the effective marketing activities. The main directions of development of insurance companies are the ability to remotely sell the insurance product on the website or via a mobile application, the correct choice of target audience for targeted advertising, the presence of the insurance company on social media and so on. On the one hand, costs of marketing and advertising make it possible to increase the amount of net earned premiums of the insurance company, and on the other hand, the introduction of the latest tools for selling insurance products makes the insurer closer to its customer.

scholarly journals Analysis of heat transfer and factors affecting the thermal propertieson rib 1x1 knitwear

2021 ◽  
Vol 72 (04) ◽  
pp. 361-367
Author(s):  
MARIJA PEŠIĆ ◽  
VASILIJE PETROVIĆ ◽  
NENAD ĆIRKOVIĆ ◽  
JOVANA STEPANOVIĆ
Keyword(s):  
Heat Transfer ◽  
Mathematical Model ◽  
Thermal Resistance ◽  
Cotton Yarn ◽  
Knitted Fabrics ◽  
Clothing Insulation ◽  
Factors Affecting ◽  
Clothing Comfort ◽  
The One ◽  
The Impact

Clothing comfort is very important feature which is considered as a result of different process of heat exchange between human body, clothing and environment. The purpose of this paper is to analyse the impact of clothing insulation on the heat transfer. The measurements were carried out on commercially 1x1 RIB knitted fabrics used for the production of next-to-skin shirts. The one group of samples are made from 100% cotton yarn and another with 96% cotton and 4%lycra. It is noticed that knitted material composition affected the change in heat resistance. Also, this paper presents and verifies the correlation between the measured values of thermal resistance (Rct) and the knitwear thickness (dpl), the covering factor (K), the porosity of the twists (e) and the surface coefficient (dp). Based on these results, a mathematical model for calculating thermal resistance is proposed. Comparing the results obtained with the proposed equation and the measured results, we can see that the deviations are minimal. The highest deviation for sample C4 is 0.05%,while the largest deviation for sample CL4 is 4.6%.

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