Ultimate pullout resistance of plate anchors buried in sandy seabed

2014 ◽  
pp. 1237-1241
Author(s):  
F Cañizal ◽  
J Cañizal ◽  
J Castro ◽  
A da Costa ◽  
C Sagaseta
Keyword(s):  
Pullout Resistance ◽  
Plate Anchors

Pullout resistance of single vertical shallow helical and plate anchors in sand

2007 ◽  
Vol 25 (5) ◽  
pp. 559-573 ◽  
Author(s):  
Adel Hanna ◽  
Tahar Ayadat ◽  
Mohab Sabry
Keyword(s):  
Pullout Resistance ◽  
Plate Anchors

Vertical uplift resistance of horizontal plate anchors for eccentric and inclined loads

2019 ◽  
Vol 56 (2) ◽  
pp. 290-299 ◽  
Author(s):  
Jyant Kumar ◽  
Obaidur Rahaman
Keyword(s):  
Yield Criterion ◽  
Flow Rule ◽  
Horizontal Plate ◽  
Pullout Resistance ◽  
Second Order Cone ◽  
Bound Theorem ◽  
Uplift Resistance ◽  
Plate Anchors ◽  
Associated Flow Rule ◽  
Pullout Loads

The vertical uplift resistance of horizontal plate anchors embedded in sand has been computed for inclined and eccentric pullout loads. The analysis has been performed by using the lower-bound theorem of the limit analysis in combination with finite element and second-order cone programming (SOCP). The methodology is based on the Mohr–Coulomb yield criterion and the associated flow rule. Several combinations of the eccentricity (e) and vertical inclinations (α) of the resultant pullout loads have been considered. The computations have revealed that the magnitude of the vertical uplift resistance decreases with an increase in the values of both e and α. The reduction of vertical pullout resistance with eccentricity and inclination becomes more prominent for smaller values of embedment ratio. The anchor–soil roughness angle (δ) hardly affects the uplift capacity factor as long as the value of α remains smaller than δ.

scholarly journals Pullout behaviour of inclined shallow plate anchors in sand

2021 ◽  
Author(s):  
Peizhi Zhuang ◽  
Hongya Yue ◽  
Xiuguang Song ◽  
Xu Guo ◽  
Hongbo Zhang ◽  
...  
Keyword(s):  
Empirical Method ◽  
Image Correlation ◽  
Deformation Mechanisms ◽  
Interface Conditions ◽  
Pullout Capacity ◽  
Inclined Plate ◽  
Pullout Resistance ◽  
Inclination Angles ◽  
Pullout Behaviour ◽  
Plate Anchors

This paper presents an experimental study on the pullout behaviour of inclined shallow plate anchors subject to axial pull in sand. The 1g model tests were performed to examine the effects of anchor inclination and sand-anchor interface conditions on the load-displacement response and the associated failure and deformation mechanisms of plate anchors at various embedment ratios and sand densities. The anchor pullout capacity was found to increase continuously with the load inclination angle to the vertical (), and the increase was more significant for  from º to º. The effect of sand-anchor interface conditions was negligible for horizontal plate anchors (º) but it became increasingly significant at larger inclination angles. The effects of these two factors both decreased with an increasing embedment ratio. Their influences on the failure and deformation mechanisms were measured and analysed using a digital image correlation (DIC) technique. Based on the test data and results available in the literature, a simple empirical method for the prediction of pullout resistance of inclined plate anchors in sand is calibrated and recommended.

Predicting Pullout Resistance of Bearing Reinforcement Embedded in Cohesive-Frictional Soils

2020 ◽  
Vol 32 (3) ◽  
pp. 04019379
Author(s):  
Gampanart Sukmak ◽  
Patimapon Sukmak ◽  
Apichet Joongklang ◽  
Artit Udomchai ◽  
Suksun Horpibulsuk ◽  
...  
Keyword(s):  
Pullout Resistance ◽  
Frictional Soils

Comparison of various multivariate models to estimate structural properties by means of non-destructive techniques (NDTs) in Pinus sylvestris L. timber

Holzforschung ◽  
2019 ◽  
Vol 73 (4) ◽  
pp. 331-338
Author(s):  
Antonio Villasante ◽  
Guillermo Íñiguez-González ◽  
Lluis Puigdomenech
Keyword(s):  
Pinus Sylvestris ◽  
Linear Models ◽  
Longitudinal Vibration ◽  
Modulus Of Rupture ◽  
Coefficient Of Determination ◽  
Pullout Resistance ◽  
Density Prediction ◽  
Learning Software ◽  
Artificial Neural Network Ann ◽  
Non Destructive

AbstractThe predictability of modulus of elasticity (MOE), modulus of rupture (MOR) and density of 120 samples of Scots pine (Pinus sylvestrisL.) were investigated using various non-destructive variables (such as time of flight of stress wave, natural frequency of longitudinal vibration, penetration depth, pullout resistance, visual grading and concentrated knot diameter ratio), and based on multivariate algorithms, applying WEKA as machine learning software. The algorithms used were: multivariate linear regression (MLR), Gaussian, Lazy, artificial neural network (ANN), Rules and decision Tree. The models were quantified based on the root-mean-square error (RMSE) and the coefficient of determination (R2). To avoid model overfitting, the modeling was built and the results validated via the so-called 10-fold cross-validation. MLR with the “greedy method” for variable selection based on the Akaike information metric (MLRak) significantly reduced the RMSE of MOR and MOE compared to univariate linear regressions (ULR). However, this reduction was not significant for density prediction. The predictability of MLRak was not improved by any other of the tested algorithms. Specifically, non-linear models, such as multilayer perceptron, did not contribute any significant improvements over linear models. Finally, MLRak models were simplified by discarding the variables that produce the lowest RMSE increment. The resulted models could be even further simplified without significant RMSE increment.

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