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Editorial Board Prof. Sami Oğuzhan Akbaş Department of Civil Engineering Gazi University, Turkey Prof. Richard J. Bathurst Civil Engineering Dept Royal Military Clg. of Canada Prof. Dennes T. Bergado School of Eng and Tech Asian Inst of Technol, Thailand Prof. J.C. Chai

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Volume 17, No. 4 (March20 2019) Previous Next

CONTENTS

Volume 17, Number 4, March20 2019

Simplification analysis of suction pile using two dimensions finite element modeling

Hendriyawan, M. Abby Primananda, Anisa Dwi Puspita, Chao Guo, Indra Noer Hamdhan, M. M. Tahir, Binh Thai Pham, M.A.

Mu\'azu and Majid Khorami

Abstract; Full Text (1505K) pages 317-322. DOI: 10.12989/gae.2019.17.4.317

Experimental study of crack propagation of rock-like specimens containing conjugate fractures Wenbin Sun, Houqian Du, Fei Zhou and Jianli Shao

Abstract; Full Text (1784K) pages 323-331. DOI: 10.12989/gae.2019.17.4.323

Simulation study on effects of loading rate on uniaxial compression failure of composite rock-coal layer

Shao J. Chen, Da W. Yin, N. Jiang, F. Wang and Wei J. Guo

Abstract; Full Text (2392K) pages 333-342. DOI: 10.12989/gae.2019.17.4.333

Impact of pore fluid heterogeneities on angle-dependent reflectivity in poroelastic layers: A study driven by seismic petrophysics

Mubasher Ahmad, Nisar Ahmed, Perveiz Khalid, Muhammad A. Badar, Sohail Akram, Mureed Hussain, Muhammad A. Anwar, Azhar Mahmood, Shahid Ali and Anees U. Rehman

Abstract; Full Text (1621K) pages 343-354. DOI: 10.12989/gae.2019.17.4.343

Analysis for mechanical characteristics and failure models of coal specimens with non-penetrating single crack

Huayong Lv, Yuesong Tang, Lingfei Zhang, Zhanbo Cheng and Yaning Zhang

Abstract; Full Text (2110K) pages 355-365. DOI: 10.12989/gae.2019.17.4.355

The observation of permeation grouting method as soil improvement technique with different grout flow models

Fatih Celik

Abstract; Full Text (1894K) pages 367-374. DOI: 10.12989/gae.2019.17.4.367

Microseismic monitoring and its precursory parameter of hard roof collapse in longwall faces: A case study

Jun Wang, Jianguo Ning, Pengqi Qiu, Shang Yang and Hefu Shang

Abstract; Full Text (1418K) pages 375-383. DOI: 10.12989/gae.2019.17.4.375 3D stress-fractional plasticity model for granular soil

Shunxiang Song, Yufeng Gao and Yifei Sun

Abstract; Full Text (1555K) pages 385-392. DOI: 10.12989/gae.2019.17.4.385

Experimental research on dynamic response of red sandstone soil under impact loads Tong Wang, Zhanping Song, Jianyong Yang, Junbao Wang and Xuegang Zhang

Abstract; Full Text (1659K) pages 393-403. DOI: 10.12989/gae.2019.17.4.393

Mechanistic representation of the grading-dependent aggregates resiliency using stress transmission column

Yifei Sun, Zhongtao Wang and Yufeng Gao

Abstract; Full Text (1854K) pages 405-411. DOI: 10.12989/gae.2019.17.4.405 Techno Press Services

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Geomechanics and Engineering, Vol. 17, No. 4 (2019) 317-322

DOI: https://doi.org/10.12989/gae.2019.17.4.317 317

Copyright © 2019 Techno-Press, Ltd.

http://www.techno-press.org/?journal=gae&subpage=7 ISSN: 2005-307X(Print), 2092-6219(Online) 1. Introduction

One of the types of foundation that is commonly used in offshore is suction pile. Suction piles (also called suction caissons or suction anchors) are a long steel cylinder topped with a pile top or cap especially for mooring applications (Tjelta, T. I. 2001, Samui and Kim 2013, Sadeghipour Chahnasir et al. 2018, Toghroli et al. 2018b, Zidan and Ramadan 2018). According to (Erzin and Gul 2013, Malekpoor and Poorebrahim 2014, Al-Mahbashi et al.

2015, Hosseinpour et al. 2018, Yilmaz and Fidan 2018, Zandi et al. 2018), the advantages of suction piles are that they are relatively easy to be installed and retrieved cost efficient and reliable (Tjelta, T. I. 2001, Andersen, K. H.

and Jostad, H. P. 1999). However, the design process of a suction anchor is often distinctive and requires more consideration to be applied in common soil-pile modelling software; the load inclination, load attachment point and interface strength for instance, need to be carefully considered (Tjelta, T. I. 2001, Edgers, L. Lars Andersen dan H. P. Jostad. 2009, Bhargava et al. 2003, Khorami et al.

2017b, Heydari and Shariati 2018). Therefore, 3D Finite Element Analysis (FEA) is commonly used in analyzing

Corresponding author, Ph.D.

E-mail: KHQGUL\DZDQ#RFHDQLWEDFLG [email protected]

suction pile for design purposes (Sinaei et al. 2012, Shariati et al. 2015, Shafaei et al. 2017). The FEA, is a numerical method for solving problems of engineering and mathematical physics. Typical problem areas of interest include structural analysis (Shariati et al. 2010, Arabnejad Khanouki et al. 2011, Daie et al. 2011, Shariati et al. 2011, Jalali et al. 2012, Sinaei et al. 2012, Mohammadhassani et al. 2013, Shariati 2013, Shariati et al. 2013, Mohammadhassani et al. 2014a, Mohammadhassani et al.

2014b, Shariati et al. 2014a, Shariati et al. 2014b, Toghroli et al. 2014, Toghroli Ali et al. 2014, Shariati et al. 2015, Safa et al. 2016, Shahabi et al. 2016, Tahmasbi et al. 2016, Toghroli et al. 2016, Khorami et al. 2017a, Khorami et al.

2017b, Khorramian et al. 2017, Chahnasir et al. 2018, Heydari and Shariati 2018, Hosseinpour et al. 2018, Ismail et al. 2018, Paknahad et al. 2018, Sadeghipour Chahnasir et al. 2018, Sedghi et al. 2018, Shariat and Shariati 2018, Shariat et al. 2018, Toghroli et al. 2018c, Wei et al. 2018, Zandi et al. 2018).

This study is proposed to simplify the process of analyzing suction piles from 3D to 2D FEA. Hence, the analysis becomes relatively simpler, faster and cheaper compared to the 3D analyses (Singh et al. 1992, Maleki and Bagheri 2008, Tahmasebinia et al. 2012). The simplified model is not intended to fully replace the 3D model but can be used as an alternative for simple cases or for basic analyses. Two 2D models were used in the analysis, i.e., the plane strain and axisymmetric models, and the results were

Simplification analysis of suction pile using two dimensions finite element modeling

Hendriyawan*3, M. Abby Primananda3, Anisa Dwi Puspita3, Chao Guo**1,2, Indra Noer Hamdhan4, M. M. Tahir5, Binh Thai Pham6, M.A. Mu’azu7 andMajid Khorami8

1Shanxi Lu’an Mining (Group) Co.,Ltd., Changzhi, Shanxi, 046204, China

2College of Mining Engineering, Liaoning Technical University, Fuxin, Liaoning, 123000, China

3Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung Jalan Ganesha 10, Bandung 40132 Indonesia

4Faculty of Civil and Planning Engineering, Institut Teknologi Nasional Bandung, 40132 Indonesia

5UTM Construction Research Centre, Institute for Smart Infrastructure and Innovative Construction (ISIIC), Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

6Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam

7Civil Engineering Department, University of Hafr Al-Batin, Al-Jamiah, 39524, Hafr Al-Batin, Eastern Province, Kingdom of Saudi Arabia

8Universidad UTE, Facultad de Arquitectura y Urbanismo, Calle Rumipamba s/n y Bourgeois, Quito, Ecuador

(Received November 24, 2018, Revised February 11, 2019, Accepted February 19, 2019)

Abstract. This paper presents the results of parametric analyses to compute the axial capacity of a suction pile using 2D and 3D finite element approaches. The study is intended to simplify the process of analyzing suction piles from 3D to 2D model.

The research focuses on obtaining the coefficient to be applied into the 2D model in order to obtain results that are as close as possible to the 3D model. Two 2D models were used in the analysis, namely the plane strain and axisymmetric models. The analyses were performed using two actual offshore soil data of the North and West Java Indonesia. The study reveals that the simplification of model through 2D Finite Element is achievable by applying the appropriate coefficient to the stiffness parameters. The results show that the simplified model of the 2D FEA provides more conservative results (with the difference between 2% to 7%) than the 3D FEA.

Keywords: suction pile; 3D FEA; 2D FEA; simplification analysis

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Hendriyawan et al.

then compared to the 3D FEA. The analyses were performed using two actual offshore soil data of the North and West Java Indonesia. The modelling was done with PLAXIS, both PLAXIS 3D (Ismail et al. 2018, Paknahad et al. 2018, Wei et al. 2018) and 2D (Mohammadhassani et al.

2015). The calibration factor and other adjustments were made to obtain a justifiable pile capacity to ensure the stability of the pile in practice.

The evaluation of performance in calculating the capacity of suction anchors structures in clay focuses on soil-structure interface elements modelling (Khorami et al.

2017a). With regard to this, this study focuses on vertical capacity modelling and its simplification method using 2D and 3D finite element approaches.

2. Methodology

Generally, this study consisted of two stages. The first stage was comparing the results from the 3D model with the 2D plane strain and axisymmetric models using simple normally consolidated clay with soil properties as listed in Table 1. Mohr-Coulomb model with cohesion equal to the undrained strength (c = su) and the friction and dilatancy angles equal to zero (φ = ψ = 0), were used in the analysis.

In this study, the geometry of the suction pile was modelled based on (Toghroli et al. 2018a). The analyses were conducted using PLAXIS 3D and PLAXIS 2D. Figs.

1-2 illustrate the 3D (Brinkgreve et al. 2016a) and 2D (Brinkgreve et al. 2016b) finite element model of the suction pile, respectively. The objective of this stage is to gain a better understanding on the process of modeling in 3D and 2D analyses and to determine the coefficient to adjust the results of the 2D models based on the 3D model.

The second stage was using real-case soil data for the model and to verify or adjust the coefficient from the previous stage. The real soil data obtained from Northern Java Sea and West Madura Indonesia were used in the model, as displayed in Tables 2 and 3. The suction pile was modeled as plate with the material properties similar to that of (Shahabi et al. 2016) as shown in Table 4. Based on

Table 1 Soil Parameters used in analysis Parameter

Value Unit

Name Symbol

Soil Weight ϒsat 15 kN/m3

Modulus Young E’ 5000 kN/m2

Poisson Ratio ᴠ’ 0.35 -

Shear Strength sᵤ 50 kN/m2

Friction Angle ϕᵤ 0 ˚

Table 2 Soil parameters of Northern Java Sea

Parameter Layer 1 Layer 2

Soil Description Clay Clay

Depth (m) 0-10 10-22

Soil Weight (kN/m3) 4.5 9.0

Shear Strength (kPa) 2-18 80

Fig. 1 3D modelling of suction pile

(a) Axisymmetric model

(b) Plane strain model Fig. 2 2D modelling of suction pile

Table 3 Soil Parameters of West Madura Indonesia

Parameter Layer 1 Layer 2

Soil Description Clay Clay

Depth (m) 0-20 20-25

Soil Weight (kN/m3) 3.7 6.2

Shear Strength (kPa) 2-10 20-28

Table 4 Parameters used for suction pile (Pollestad 2015)

Description Parameters

EA 1.40 E+11 kN/m

EI 2.90 E+07 kNm2/m

Thickness 0.05 m

v 0.15

(Pollestad 2015), the stiffness is very large in order to ensure that the caisson remained rigid. On the other hand, the interface between soil-structure was 0.65 as proposed by (Toghroli Ali et al. 2014, Sedghi et al. 2018).

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Simplification analysis of suction pile using two dimensions finite element modeling

3. Result of analyses using generic soil data

In the process of modelling the 2D FEA axial capacity, an issue occurred in calibrating the stiffness of the pile to match the 3D FEA model. The results of the analyses are illustrated in Fig. 5, for the 3D and 2D FEA, respectively.

The results of the analyses showed very similar failure pattern of the models as depicted in Fig. 5 for the 3D and 2D analyses, respectively.

The calibration factor was achieved through iteration process and is used for comparing the results between the 3D and 2D models based on the percentage of error of ultimate stress of the suction piles using several diameters, i.e. 2.5 m, 5.0 m, and 10.0 m. It can be seen from the graph that generally, by increasing the coefficient value, the results from the 2D analyses will be getting closer to the 3D analysis as shown in the percentage of errors. The coefficient exceeded the value of 30; the reduction of errors became insignificant. Therefore, the value of 30 was selected for this study as the coefficient to multiply the stiffness factor in the 2D analyses. The results of the analyses are presented in details

Fig. 3 Results of 3D FEA

Fig. 4 Results of 2D FEA axisymmetric model

Fig. 5 Results of 2D FEA plain strain model Table 5 Comparison results between 3D and 2D analyses using coefficient of 30

Model Ultimate Stress (kN/m2)

3D 320

Table 5 Continued

Model Ultimate Stress (kN/m2)

2D Axisymmetric 315

2D Plain Strain 306

Fig. 6 Calibration factor graph

4. Result of analysis using actual soil data

In order to validate the previous results, the comparison analyses were also performed using actual soil data of offshore Northern Java and West Madura Indonesia as presented in Fig. 3, respectively. In the analyses, the stiffness parameters of the suction pile such as EA and EI for the 2D FEA are multiplied with the coefficient factor obtained from the previous analysis. The results of the analyses of the offshore Northern Java (ONJ) can be seen in Fig. 8 for the 3D and 2D FEA, respectively. Based on the analysis, the results from the 2D models are relatively close to the 3D model. The differences are between 3% and 7%

as shown.

The results of the analyses of the offshore West Madura (OWM) are illustrated in Fig.10 for the 3D and 2D FEA, respectively. Based on the analysis, the results from the 2D models are relatively close to the 3D model. The differences are between 3% and 5% as shown.

The difference of running times between the 3D and 2D analyses is significant. Based on the results, the 2D analyses are at least 60 times faster than the 3D analysis. Therefore, the simplified model will be very helpful for basic analyses using various parameters of suction pile. Nevertheless,

Fig. 7 Results from 3D FEA on ONJ

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Hendriyawan et al.

(a) Axisymmetric model

(b) Plane strain model Fig. 8 Results from 2D FEA on ONJ

Table 6 Comparison results between 3D and 2D analyses for ONJ

Model Ultimate Stress (kN/m2)

3D 110

2D Axisymmetric 106

2D Plain Strain 102

Fig. 9 Results from 3D FEA on OWM

Table 7 Comparison results between 3D and 2D analyses for OWM

Model Ultimate Stress (kN/m2)

3D 46.1

2D Axisymmetric 44.8

2D Plain Strain 43.8

Table 8 Running time for each model used in the analysis

Model Running time

3D ±1 hour 30 minutes

2D Axisymmetric ±1.5 minutes

2D Plain Strain ±0.5 minutes

(a) Axisymmetric model

(b) Plane strain model

Fig. 10 Results from 2D FEA on OWM

further analyses using 3D models are still required for detailed analyses or detailed design stage.

5. Conclusions

In this study, applying the coefficient of 30 to the stiffness parameters such as EA and EI to the 2D model will provide relatively close results to the 3D FEA. Both the 2D analyses presented more conservative results than the 3D FEA with the differences between 3% and 7%. This study presents our preliminary results for comparing 3D and 2D analyses using FEM for suction piles. Further research is proposed with more variation of soil data and geometries of the suction piles to allow the corrected factor to be validated more accurately. Further research is also needed for applying lateral loads or combination loads between vertical and lateral loads.

Acknowledgments

The study presented in this paper is part of Program Penelitian, Pengabdian kepada Masyarakat, dan Inovasi (P3MI) supported by Institute of Technology Bandung. This support is gratefully acknowledged. Special thanks go to Dr.

320

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Simplification analysis of suction pile using two dimensions finite element modeling Meldi Suhatril and Archeilia Dwianca for the support in

preparing this paper. Grateful acknowledgement also goes to all that are involved directly and indirectly in completing this paper.

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