Geometry Optimization and Engineering Applications of Transmission Tower Foundation in the Slope

2013 ◽  
Vol 423-426 ◽  
pp. 1243-1247
Author(s):  
Bin Peng ◽  
Xing Yun Wang ◽  
Yu Wang ◽  
He Huang
Keyword(s):  
Regression Analysis ◽  
Bearing Capacity ◽  
Geometry Optimization ◽  
Ultimate Bearing Capacity ◽  
Nonlinear Regression Analysis ◽  
Transmission Tower ◽  
Engineering Applications ◽  
Practical Engineering ◽  
Tower Foundation ◽  
Pile Length

Combining with practical engineering, geometry optimization and engineering applications of transmission tower foundation in the slope is researched by using the finite-difference software FLAC3D. The variation of the pullout, vertical and horizontal ultimate bearing capacity with the diameter and length of the pile is analyzed. And optimization program of actual project is given. Research shows that when the pile length is constant, the variation of the pullout and vertical ultimate bearing capacity is increasing with the diameter increasing significantly and the horizontal ultimate bearing capacity is not significant. When the diameter is constant, the pullout, vertical and horizontal ultimate bearing capacity is increasing with the length increasing significantly. By analyzing nonlinear regression analysis of calculation data, the formula of the ultimate bearing capacity is carried out, which can consider the different pile diameters and lengths. When the gradient and distance of slopes is constant, the pullout, vertical and horizontal ultimate bearing capacity can be carried out with the formula, which can provide a reference to specification revision and engineering.

Numerical Simulation for Uplift Bearing Capacity and Affecting Factors of the Digging Piles in Slope Ground

2013 ◽  
Vol 423-426 ◽  
pp. 1292-1295 ◽  
Author(s):  
Xing Yun Wang ◽  
Bin Peng ◽  
Xiao Chao Tang ◽  
Lian Fan
Keyword(s):  
Numerical Simulation ◽  
Regression Analysis ◽  
Finite Difference ◽  
Bearing Capacity ◽  
Mutual Effect ◽  
Simulation Method ◽  
Affecting Factors ◽  
Slope Ratio ◽  
Nonlinear Regression Analysis ◽  
Numerical Simulation Method

Based on the numerical simulation method, this paper has established the numerical simulation method by using of finite difference software of FLAC3D through establishing interface for digging pile-soil. It can consider mutual effect of digging pile-soil. The uplift bearing capacity of the digging pile in slope ground was calculated and the affecting factors of the bearing capacity were analyzed. The results show that the uplift bearing capacity has a negative correlation with the slope ratio, and has a positive correlation with the width or height of the foundation, which can be expressed as a quadratic polynomial. But when the slope ratio is smaller than a certain extent, the capacity no longer increases. Nonlinear regression analysis of calculation data are carried out. Finally, the calculation method of uplift bearing capacity about pile in the slope is developed, which can provide a reference to specification revision and engineering.

Prediction of Ultimate Bearing Capacity of Half-Screwed Pile by Integrated Exponential Function Model

2013 ◽  
Vol 353-356 ◽  
pp. 881-885
Author(s):  
Jian Xiong Liu ◽  
Yan Yan Gao ◽  
Xiu Hua Li
Keyword(s):  
Bearing Capacity ◽  
Functional Model ◽  
Ultimate Bearing Capacity ◽  
Model Solution ◽  
Least Square ◽  
Single Pile ◽  
Engineering Research ◽  
Exponential Functional ◽  
Practical Engineering ◽  
Difference Form

This study fitted the measured loading-settlement curve of half-screwed pilewith least square model solution of difference form of integrated exponential functional model, and predict ultimate bearing capacity of half-screwed pile according to the fitted curve of maximum curvature point. Combined with practical engineering research, the study explored the feasibility, rationality and limitations of predicting the half-screwed single pile ultimate bearing capacity with least square model solution of difference form of integrated exponential functional model, and provided the theoretical basis for the popularization and application of the half-screwed pile.

The Comparative Analysis Research of the Finite Element between Sand Lining Teethed Pile and Smooth Pile

2014 ◽  
Vol 1030-1032 ◽  
pp. 905-907
Author(s):  
Xi Dong Wang ◽  
Yong Fen Ruan
Keyword(s):  
Finite Element ◽  
Comparative Analysis ◽  
Bearing Capacity ◽  
Work Performance ◽  
Three Dimensional ◽  
Working Mechanism ◽  
Engineering Applications ◽  
Soil Displacement ◽  
Practical Engineering ◽  
Pile Settlement

Sand lining teethed pile is a new prestressed pile, and it has been gradually spread and used in Kun Ming of Yun Nan Province, meanwhile, it has achieved better work in practical engineering applications. Compared with common prestressed smooth pile, the working mechanism that tooth of the pile combines with the sand lining of the pile makes bearing capacity and the play speed of bearing capacity have significantly improved. This paper builds a three-dimensional entity pile base model with Midas GTS and analyzes the work performance of two kinds of precast piles from pile settlement and soil displacement around pile aspects. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.

Plastic Limit Analysis of Ice Coating Transmission Tower-Line Systems

2010 ◽  
Vol 163-167 ◽  
pp. 106-109
Author(s):  
Jun Qi Chen ◽  
Wei Wang
Keyword(s):  
Bearing Capacity ◽  
Limit Analysis ◽  
Ultimate Bearing Capacity ◽  
Mountainous Areas ◽  
Plastic Limit ◽  
Transmission Tower ◽  
Height Difference ◽  
Plastic Analysis ◽  
Plastic Limit Analysis ◽  
Change Curve

Transmission tower-line systems with different elevations in mountainous areas are established in this paper. The change curve of ice increasing with time was given according to the data of ice record. Considering the influences of height difference, ice increasing, plastic analysis of transmission tower is carried out. It can be concluded that the ultimate bearing capacities of ice coating of the tower is significantly influenced by the elevation of the towers beside it. It also can be concluded that the ultimate bearing capacity of ice coating can be improved only when the section of weakness member is increased.

Analysis on Ultimate Bearing Capacity of the UHV Transmission Tower with Large Width Angle Steel

2013 ◽  
Vol 405-408 ◽  
pp. 786-789
Author(s):  
Qi Xiao ◽  
Dan Dan Tong ◽  
Ling Feng Song
Keyword(s):  
Finite Element ◽  
Bearing Capacity ◽  
Element Model ◽  
Ultimate Bearing Capacity ◽  
Transmission Tower ◽  
Future Design ◽  
Finite Element Software ◽  
Straight Line ◽  
Large Width ◽  
Angle Steel

The dissertation taked the ZBS2 straight-line tower in the UHV line project as the object,used the finite element software ANSYS to establish finite element model and did a analysis about its dynamic characteristics. Considering width and thickness of large width angle steel,the section area of large width angle steel is larger than normal angle steel,and the application of large width angle steel can increase bearing capacity of the member.Therefore,this article taked large width angle steel to replace double combined angle steels in the main members of the tower,and calculated the ultimate bearing capacity. Analysis of comparison indicate that the ultimate bearing capacity increases by 13% when large width angle steel is used.Therefore it is feasible and advantageous that large width angle steel uses in the UHV transimission tower,and it provide a reference and basis for future design of the UHV transmission tower with large width angle steel.

Research on Bearing Characteristics of the Digging Foundation in Slopes Based on Interface

2013 ◽  
Vol 423-426 ◽  
pp. 2040-2044
Author(s):  
Bin Peng ◽  
Yi Min Shang ◽  
Rui Shan Tan ◽  
Tao Mei
Keyword(s):  
Numerical Simulation ◽  
Regression Analysis ◽  
Bearing Capacity ◽  
Negative Correlation ◽  
Mutual Effect ◽  
Affecting Factors ◽  
Slope Ratio ◽  
Nonlinear Regression Analysis ◽  
Foundation Soil ◽  
Simulation Tools

The numerical simulation model was established by using numerical simulation tools of FLAC3D, through establishing interface for digging foundation-soil, which can consider mutual effect of digging foundation-soil. Bearing capacities of the digging foundation in slopes is calculated. The affecting factors of the bearing capacity are analyzed. The results show that the bearing capacity has a positive correlation with the distance between the foundation and the slope and has a negative correlation with the slope ratio, which can be expressed as a quadratic polynomial. Nonlinear regression analysis of calculation data are carried out and the fitting formula of the capacity ratio between pile in the slope and pile in the flat is obtained. Finally, the calculation method of horizontal bearing capacity about pile in the slope is developed, which can provide a reference to specification revision and engineering.

scholarly journals Evaluation of Ultimate Bearing Capacity of Pre-Stressed High-Strength Concrete Pipe Pile Embedded in Saturated Sandy Soil Based on In-Situ Test

2020 ◽  
Vol 10 (18) ◽  
pp. 6269 ◽  
Author(s):  
Yingjie Wei ◽  
Duli Wang ◽  
Jiawang Li ◽  
Yuxin Jie ◽  
Zundong Ke ◽  
...  
Keyword(s):  
Bearing Capacity ◽  
High Strength Concrete ◽  
High Strength ◽  
Ultimate Bearing Capacity ◽  
Penetration Test ◽  
Pipe Pile ◽  
Strength Concrete ◽  
Survey Report ◽  
Pile Length

Estimation of ultimate bearing capacity (UBC) of pre-stressed high-strength concrete (PHC) pipe pile is critical for optimizing pile design and construction. In this study, a standard penetration test (SPT), static cone penetration test (CPT) and static load test (SLT) were carried out to assess, determine and compare the UBC of the PHC pipe pile embedded in saturated sandy layers at different depths. The UBC was calculated with three methods including the JGJ94-2008 method, Meyerhof method and Schmertmann method based on in-situ blow count (N) of SPT (SPT-N) which was higher than the values recommended in survey report regardless of pile length. The average UBC values calculated with cone-tip resistance and sleeve friction from CPTs was also higher than the value recommended in the survey report. Moreover, the actual UBC values directly obtained by load-displacement curves from SLTs were in line with the calculated values based on in-situ SPTs and CPTs, but approximately twice as high as the values recommended in the survey report regardless of pile length. For the SPT method, the application of bentonite mud in saturated sand layers is critical for the assessment of pile capacity in the survey phase, CPTs can provide reliable results regardless of soil characteristics and groundwater if the soil layer can be penetrated, and SLTs are necessary to accurately determine the UBC in complex stratum.

scholarly journals Prediction of Ultimate Bearing Capacity of Aggregate Pier Reinforced Clay Using Multiple Regression Analysis and Deep Learning

2020 ◽  
Vol 10 (13) ◽  
pp. 4580
Author(s):  
Taeho Bong ◽  
Sung-Ryul Kim ◽  
Byoung-Il Kim
Keyword(s):  
Regression Analysis ◽  
Bearing Capacity ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Prediction Models ◽  
Ultimate Bearing Capacity ◽  
Multiple Regression Equation ◽  
Loading Test ◽  
Input Variables ◽  
Aggregate Piers

Aggregate piers have been widely used to increase bearing pressure and reduce settlement under structural footings. The ultimate bearing capacity of aggregate pier-reinforced ground is affected by the soil strength, replacement ratio of piles, and construction conditions. Various prediction models have been proposed to predict the ultimate bearing capacity. However, existing models have shown a broad range of bias, variation, and error, and they are at times unsuitable for practical design. In this study, multiple regression analysis was performed using field loading test results to predict the ultimate bearing capacity of ground reinforced by aggregate piers, and the number and type of the most efficient input variables were evaluated to build a robust predictive model. Accordingly, a multiple regression equation for predicting the ultimate bearing capacity was proposed, and a sensitivity analysis was conducted to identify the effect of input variables. In addition, a deep neural network was applied to estimate the ultimate bearing capacity. The optimal structure was selected on the basis of cross-validation results to prevent overtraining. Prediction errors for two approaches were evaluated and then compared with those of existing models.

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