New design equation for undrained pullout capacity of suction caissons considering combined effects of caisson aspect ratio, adhesion factor at interface, and linearly increasing strength

2018 ◽  
Vol 75 ◽  
pp. 1-14 ◽  
Author(s):  
Boonchai Ukritchon ◽  
Panuvat Wongtoythong ◽  
Suraparb Keawsawasvong
Keyword(s):  
Aspect Ratio ◽  
Combined Effects ◽  
Design Equation ◽  
Pullout Capacity ◽  
Adhesion Factor ◽  
Suction Caissons

Numerical Investigation on the Pull-Out Behaviour of Suction Caissons in Clay

2006 ◽  
Author(s):  
Mostafa Zeinoddini ◽  
Mahmood Nabipour
Keyword(s):  
Aspect Ratio ◽  
Numerical Investigation ◽  
Production Systems ◽  
Friction Angle ◽  
Critical Issue ◽  
Order Effect ◽  
Offshore Structures ◽  
Pull Out ◽  
Soil Cohesion ◽  
Suction Caissons

Since their inception suction caisson foundations have presented themselves as proven means of anchoring floating production systems and fixed offshore structures. The pull-out capacity of suction caissons remains a critical issue in their applications, and in order to produce effective designs, reliable methods of predicting the capacity are required. In this paper results from a numerical investigation on the behaviour of the suction caissons in clays against pull-out loading have been presented. Soil nonlinearities, soil/caisson interactions and the effects from the suction on the behaviour have been taken into account. A linear relationship has been observed between the soil cohesion values and the pull-out capacity. Under drained conditions, beyond specific limits of soil cohesion values, the increase in the cohesion value have found to demonstrate no further influence on the pull-out capacity. The soil internal friction angle has been noticed to have an exponential increasing effect on the pull-out capacity. With constant values of the caisson diameter, an increase in the aspect ratio noticed to have a second order effect of the friction originated part and a linear influence on the cohesion originated part of the resistance. With constant values of the caisson length, an increase in the aspect ratio values has found to result in an exponential decrease of the pull-out capacity. Based on the obtained numerical results simple formulations and approximations have been proposed in order to estimate the effects of the studied parameters on the pull-out capacities.

Combined effects of nanotube aspect ratio and shear rate on the carbon nanotube/polymer composites

Polymer ◽  
2012 ◽  
Vol 53 (20) ◽  
pp. 4493-4500 ◽  
Author(s):  
A.E. Eken ◽  
E.J. Tozzi ◽  
D.J. Klingenberg ◽  
W. Bauhofer
Keyword(s):  
Carbon Nanotube ◽  
Shear Rate ◽  
Aspect Ratio ◽  
Polymer Composites ◽  
Combined Effects

Laterally loaded suction caissons with aspect ratio of one

2015 ◽  
pp. 227-232 ◽  
Author(s):  
C Chen ◽  
R Gilbert ◽  
H Gerkus ◽  
A Saleh ◽  
L Finn
Keyword(s):  
Aspect Ratio ◽  
Laterally Loaded ◽  
Suction Caissons

COMBINED EFFECTS OF A GUN PROFILE AND SABOT ON THE STRENGTH OF PENETRATOR

2006 ◽  
Vol 20 (25n27) ◽  
pp. 4517-4522
Author(s):  
JIN-BONG KIM
Keyword(s):  
Aspect Ratio ◽  
Three Dimensional ◽  
Transverse Force ◽  
Principal Factor ◽  
Combined Effects ◽  
Analysis Method ◽  
Element Analysis ◽  
Finite Element Analysis Method ◽  
Dynamic Finite Element ◽  
Dynamic Finite Element Analysis

As the projectile moves through the gun tube, the gun tube is subjected to a traveling load consisting of the weight of the projectile and a transverse force, probably much greater than the weight, due to the mass of the projectile being constrained to follow a curved path, defined by the shape of the gun tube. This is not simply the curvature of the barrel due to gravity, but the instantaneous value resulting from all the causes of vibration. The gun tube profile and properties of sabot may affects on strength on the penetrator traveling in the gun tube. In addition to these, the aspect ratio of penetrator is also the principal factor for the strength of penetrator. Combined influences of the forward sabot diameter and aspect ratio of penetrator on the strength of penetrator was analyzed using three dimensional dynamic finite element analysis method in the study.

Unsteady conjugate heat transfer with combined effects of MHD and moving conductive elliptic object in CNT-water nanofluid with ventilation ports

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fatih Selimefendigil ◽  
Hakan F. Öztop
Keyword(s):  
Magnetic Field ◽  
Heat Transfer ◽  
Aspect Ratio ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Thermal Performance ◽  
Pressure Coefficient ◽  
Thermal Engineering ◽  
Combined Effects ◽  
Content Type

Purpose The purpose of this paper is to analyze the unsteady conjugate mixed convective heat transfer characteristics in a vented porous cavity under the combined effects of moving conductive elliptic object and magnetic field. Design/methodology/approach The finite element method and arbitrary Lagrangian-Eulerian (ALE), impacts of Reynolds number, Hartmann number, aspect ratio of the conductive ellipse and moving speed of the object on the hydro-thermal performance are analyzed. Findings It was observed that the dynamic characteristics of the local and average Nu number of each hot wall are different. Magnetic field strength increment resulted in the enhancement of average Nu number for bot steady and transient case while the optimum case for best hydro-thermal performance is achieved for highest Ha number and non-dimensional time of 10. Higher value of average Nu and lower pressure coefficient are achieved for aspect ratio of 4 and non-dimensional time of 10. When the moving velocity of the conductive ellipse is considered, 42% enhancement in the average Nu is obtained at non-dimensional time of 20 and object velocity equals to 0.012 times entering fluid velocity in the negative y direction while the pressure coefficient is higher. The moving object is used as a useful tool to control the dynamic features of heat transfer in a vented cavity. Originality/value The present method of convective heat transfer control inside a vented cavity with a moving elliptic object is novel and can be used as an effective tool with magnetic field effects owing to diverse use of convection in cavities with vented ports in many practical thermal engineering systems.

scholarly journals Penetration and Pullout Capacity of Low-Skirted Suction Caissons

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Mingyuan Wang ◽  
Xiaoke Liu ◽  
Xinglei Cheng ◽  
Qun Lu ◽  
Jiaqing Lu ◽  
...  
Keyword(s):  
Bearing Capacity ◽  
Limit Equilibrium ◽  
Offshore Structures ◽  
Pullout Capacity ◽  
Soil Plug ◽  
Suction Caisson ◽  
Element Simulation ◽  
New Type ◽  
New Formula ◽  
Suction Caissons

The bearing capacity of suction caissons is the key to the design of offshore structures. A new type of cross-shaped low-skirted suction caisson is invented to effectively improve the bearing capacity, considering inevitable “soil plug” phenomenon. The behaviors of penetration and pullout for new low-skirted suction caisson are investigated by performing model tests. A new formula for calculating the penetration resistance is suggested based on the limit equilibrium theory and the test data, which can consider the change of the lateral area of the suction caisson during penetration. The behaviors of low-skirted suction caisson under inclined loading are analyzed by carrying out finite element simulation. The effects of loading angles and loading positions on the ultimate bearing capacity and failure mechanism of low-skirted suction caissons are discussed. The research results can provide a reference for the design of suction bucket foundation for offshore structures.

A Verified Non-Linear Regression Model for Elastic Stiffness Estimates of Finite Composite Domains Considering Combined Effects of Volume Fractions, Shapes, Orientations, Locations, and Number of Multiple Inclusions

2018 ◽  
Author(s):  
Ilige S. Hage ◽  
Charbel Y. Seif ◽  
Ré-Mi Hage ◽  
Ramsey F. Hamade
Keyword(s):  
Linear Regression ◽  
Aspect Ratio ◽  
Regression Model ◽  
Linear Regression Model ◽  
Numerical Solutions ◽  
Volume Fraction ◽  
Elastic Stiffness ◽  
Test Cases ◽  
Combined Effects ◽  
Volume Fractions

A non-linear regression model using SAS/STAT (JMP® software; Proc regression module) is developed for estimating the elastic stiffness of finite composite domains considering the combined effects of volume fractions, shapes, orientations, inclusion locations, and number of multiple inclusions. These estimates are compared to numerical solutions that utilized another developed homogenization methodology by the authors (dubbed the generalized stiffness formulation, GSF) to numerically determine the elastic stiffness tensor of a composite domain having multiple inclusions with various combinations of geometric attributes. For each inclusion, these considered variables represent the inclusions’ combined attributes of volume fraction, aspect ratio, orientation, number of inclusions, and their locations. The GSF methodology’s solutions were compared against literature-reported solutions of simple cases according to such well-known techniques as Mori-Tanaka and generalized self-consistent type methods. In these test cases, the effect of only one variable was considered at a time: volume fraction, aspect ratio, or orientation (omitting the number and locations of inclusions). For experimental corroboration of the numerical solutions, testing (uniaxial compression) was performed on test cases of 3D printed test cubes. The regression equation returns estimates of the composite’s ratio of normalized longitudinal modulus (E11) to that of the matrix modulus (Em) or E11/Em when considering any combination of all of the aforementioned inclusions’ variables. All parameters were statistically analyzed with the parameters retained are only those deemed statistically significant (p-values less than 0.05). Values returned by the regression stiffness formulation solutions were compared against values returned by the GSF formulation numerical and against the experimentally found stiffness values. Results show good agreement between the regression model estimates as compared with both numerical and experimental results.

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