Skip to main content
Log in

Real-time hybrid test of a LNG storage tank with a variable curvature friction pendulum system

  • Original Article
  • Published:
Archives of Civil and Mechanical Engineering Aims and scope Submit manuscript

Abstract

To accurately reproduce the seismic response of the liquefied natural gas (LNG) storage tank equipped with the variable curvature friction pendulum system (VCFPS), a real-time hybrid (RTH) experiment, also known as a real-time substructure experiment, is conducted on it in this study. A typical LNG storage tank with a capacity of 160,000 m3 is employed as the numerical substructure simulated using the MATLAB/Simulink, while the variable curvature friction pendulum bearing (VCFPB) is utilized as the experimental substructure tested using the compression-shear equipment. Thereafter, the validity and feasibility of the RTH experiment are verified using the SAP2000 results. Finally, the working performance of the VCFPB is evaluated scientifically, comprehensively, reasonably, and efficiently. The results show that the VCFPB is very effective in avoiding the resonance phenomenon. It can be seen from the displacement of isolation layer that the VCFPB meets the design requirement. The maximum relative deviations between the RTH test results and the SAP2000 results are 3.45% for the displacement of isolation layer, 4.27% for the base shear, and 1.49% for the liquid sloshing height, respectively. The RTH test is stable and reliable and the predicted results are highly accurate and effective. The RTH test method proves to be accurate in the prediction of the seismic response of the LNG storage tank equipped with the VCFPBs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Abbreviations

c c n :

Damping of the n-th order convective mass

c ep :

Damping of the expanded perlite

c i :

Damping of the impulsive mass

c ot :

Damping of the outer tank

c r :

Damping of the rigid mass

f u :

Ultimate compressive strength of PTFE

f y :

Yield compressive strength of PTFE

h ot :

Height of the lumped mass mot

h w :

Height of the outer tank wall

h Dm :

Height of the mass of the dome

k c n :

Stiffness of the n-th order convective mass

k ep :

Stiffness of the expanded perlite

k i :

Stiffness of the impulsive mass

k ot :

Stiffness of the outer tank

k r :

Stiffness of the rigid mass

m c n :

Mass of the n-th order convective mass

m i :

Mass of the impulsive mass

m ot :

Mass of the outer tank

m r :

Mass of the rigid mass

m Dm :

Mass of the dome

m L :

Total mass of the liquid

\(\overline{m}\) :

Mass per unit height of the outer tank wall

s :

Constant associated with the contact pressure

t j :

Corresponding time of the command displacement \(x_{j}^{{\text{c}}}\)

t w :

Wall thickness

v :

Sliding velocity

x :

Distance between the slider and the equilibrium position

x c n :

Displacement of the n-th order convective mass

x g :

Seismic displacement

x i :

Displacement of the impulsive mass

x inflexion :

Distance between the inflexion and the equilibrium position

x max :

Design displacement

x ot :

Displacement of the outer tank

x r :

Displacement of the rigid mass

\(x_{j}^{{\text{c}}}\) :

Command displacement at j-th time substep

\(x_{j}^{{\text{m}}}\) :

Measured displacement at j-th time substep

\(x_{j}^{{\text{p}}}\) :

Predicted displacement at j-th time substep

y and z :

Variable

\(\left\{ {\ddot{x}_{i} } \right\}\) :

Acceleration at i-th time step

\(\left\{ {\dot{x}_{i} } \right\}\) :

Velocity at i-th time step

\(\left\{ {x_{i} } \right\}\) :

Displacement at i-th time step

C :

Influence coefficient of curvature

C p :

Testing constant

C v :

Testing constant

E :

Elastic modulus

F :

The horizontal force of the VCFPB

F FPB :

The horizontal force of the friction pendulum link element

F MLE :

The horizontal force of the multi-linear elastic link element

F NE :

Interaction force between the numerical and experimental substructures

\(G_{{\text{b}}} \left( z \right)\) and \(G_{{\text{f}}} \left( z \right)\) :

Transfer function

H L :

Height of the liquid

K i :

Initial stiffness

R :

Radius of the inner tank

R FPB :

Curvature radius

R VCFPB :

Curvature radius of sliding interface at the equilibrium position

S :

HL/R

W :

Self-weight of the superstructure

\(X^{{\text{c}}} \left( z \right)\) :

Z transformation of \(x_{j + 1}^{{\text{c}}}\)

\(X^{{\text{m}}} \left( z \right)\) :

Z transformation of \(x_{j + 1}^{{\text{m}}}\)

\(X^{{\text{p}}} \left( z \right)\) :

Z transformation of \(x_{j + 1}^{{\text{p}}}\)

α :

Constant

α j + 1 :

1 + τj+1/(tj+1 − tj)

θ :

Rotation angle of the slider relative to the curvature center of the sliding interface on the sliding plate

μ :

Sliding friction coefficient

μ max :

Maximum friction coefficient

μ min :

Minimum friction coefficient

ρ :

Mass density

τ j :

Time delay at j-th time substep

υ:

Poisson’s ratio

t :

Time interval

ATR:

Electro-hydraulic servo actuator

BD-VCFPB:

Bidirectional variable curvature friction pendulum bearing

CTR-1, CTR-2, CTR-3, CTR-4, and CTR-5:

Connector

DVFPI:

Double variable frequency pendulum isolator

Fm:

Steel frame

FPS:

Friction pendulum system

HG-1, HG-2, HG-3, HG-4, and HG-5:

Hinge

L1 and L2:

Force sensor

LNG:

Liquefied natural gas

LS-1, LS-2, LS-3, and LS-4:

Lateral support

MTS:

Mechanical testing and simulation

PC:

Personal computer

PFS:

Pure friction system

PTFE:

Polytetrafluoroethylene

RTH:

Real-time hybrid

ST:

Shaking table

ST1, ST2, and ST3:

1/3, 2/3, And full liquid level height of the LNG storage tank

VCFPB:

Variable curvature friction pendulum bearing

VCFPS:

Variable curvature friction pendulum system

VFPI:

Variable frequency pendulum isolator

W1 and W2:

Displacement sensor

‘N’:

Numerical substructure

‘E’:

Experimental substructure

References

  1. Chang JI, Lin CC. A study of storage tank accidents. J Loss Prev Process Ind. 2006;19:51–9.

    Article  Google Scholar 

  2. Azzuni E, Guzey S. Comparison of the shell design methods for cylindrical liquid storage tanks. Eng Struct. 2015;101:621–30.

    Article  Google Scholar 

  3. Jiang YY, Zhao ZP, Zhang RF, Domenico DD, Pan C. Optimal design based on analytical solution for storage tank with inerter isolation system. Soil Dyn Earthq Eng. 2020;129:105924.

    Article  Google Scholar 

  4. Shrimali MK, Jangid RS. Seismic response of liquid storage tanks isolated by sliding bearings. Eng Struct. 2002;24:909–21.

    Article  Google Scholar 

  5. Shrimali MK, Jangid RS. Dynamic analysis of liquid storage tanks with sliding systems. Adv Struct Eng. 2003;6(2):145–58.

    Article  Google Scholar 

  6. Wang YP, Teng MC, Chung KW. Seismic isolation of rigid cylindrical tanks using friction pendulum bearings. Earthq Eng Struct Dyn. 2001;30:1083–99.

    Article  Google Scholar 

  7. Panchal VR, Jangid RS. Variable friction pendulum system for seismic isolation of liquid storage tanks. Nucl Eng Des. 2008;238:1304–15.

    Article  Google Scholar 

  8. Abalı E, Uçkan E. Parametric analysis of liquid storage tanks base isolated by curved surface sliding bearings. Soil Dyn Earthq Eng. 2010;30:21–31.

    Article  Google Scholar 

  9. Seleemah AA, El-Sharkawy M. Seismic response of base isolated liquid storage ground tanks. Ain Shams Eng J. 2011;2:33–42.

    Article  Google Scholar 

  10. Zhang RF, Weng DG, Ren XS. Seismic analysis of a LNG storage tank isolated by a multiple friction pendulum system. Earthq Eng Eng Vib. 2011;10:253–62.

    Article  Google Scholar 

  11. Panchal VR, Jangid RS. Seismic response of liquid storage steel tanks with variable frequency pendulum isolator. KSCE J Civ Eng. 2011;15(6):1041–55.

    Article  Google Scholar 

  12. Soni DP, Mistry BB, Panchala VR. Double variable frequency pendulum isolator for seismic isolation of liquid storage tanks. Nucl Eng Des. 2011;241:700–13.

    Article  Google Scholar 

  13. Takanashi K, Udagawa K, Seki M, Okada T, Tanaka H. Nonlinear earthquake response analysis of structures by a computer-actuator on-line system: Part 1 detail of the system. Trans Archit Inst Jpn. 1975;229:77–83.

    Article  Google Scholar 

  14. Nakashima M, Kato H, Takaoka E. Development of real-time pseudo dynamic testing. Earthq Eng Struct Dyn. 1992;21:79–92.

    Article  Google Scholar 

  15. Kim NS, Lee DG. Pseudodynamic test for evaluation of seismic performance of base-isolated liquid storage tanks. Eng Struct. 1995;17(3):198–208.

    Article  Google Scholar 

  16. Dion C, Bouaanani N, Tremblay R, Lamarche CP, Leclerc M. Real-time dynamic substructuring testing of viscous seismic protective devices for bridge structures. Eng Struct. 2011;33:3351–63.

    Article  Google Scholar 

  17. Verma M, Rajasankar J. Improved model for real-time substructuring testing system. Eng Struct. 2012;41:258–69.

    Article  Google Scholar 

  18. McCrum DP, Broderick BM. Evaluation of a substructured soft-real time hybrid test for performing seismic analysis of complex structural systems. Comput Struct. 2013;129:111–9.

    Article  Google Scholar 

  19. Lin SC. VCFPB base isolation and prestressed tendon construction research for LNG storage tank, PhD thesis. Beijing University of Technology, Beijing, China, 2016.

  20. Lima TA, de Almeida Filho MP, Torrico BC, Nogueira FG, Correia WB. A practical solution for the control of time-delayed and delay-free systems with saturating actuators. Eur J Control. 2020;51:53–64.

    Article  MathSciNet  MATH  Google Scholar 

  21. Jung RY, Shing PB. Performance evaluation of a real-time pseudodynamic test system. Earthq Eng Struct Dyn. 2006;35:789–810.

    Article  Google Scholar 

  22. Li ZB, Lin SC, Yu CY, Gao Y. A new bidirectional variable curvature friction pendulum bearing. 2018, China patent No. ZL201510253016.8 (in Chinese).

  23. Lin SC, Han JQ, Zhao HT. Experimental and theoretical studies of bidirectional variable curvature friction pendulum bearing. KSCE J Civ Eng. 2020;24(5):1568–80.

    Article  Google Scholar 

  24. Tsai CS, Chiang TC, Chen BJ. Finite element formulations and theoretical study for variable curvature friction pendulum system. Eng Struct. 2003;25:1719–30.

    Article  Google Scholar 

  25. Constantinou M, Mokha A, Reinhorn A. Teflon bearings in base isolation II: modeling. J Struct Eng. 1990;116(2):455–74.

    Article  Google Scholar 

  26. Lupășteanu V, Soveja L, Lupășteanu R, Chingălată C. Installation of a base isolation system made of friction pendulum sliding isolators in a historic masonry orthodox church. Eng Struct. 2019;188:369–81.

    Article  Google Scholar 

  27. Cancellara D, Angelis FD. Nonlinear dynamic analysis for multi-storey RC structures with hybrid base isolation systems in presence of bi-directional ground motions. Compos Struct. 2016;154:464–92.

    Article  Google Scholar 

  28. Martí J, Crespo M, Martínez F. Seismic isolation of liquefied natural gas tanks: a comparative assessment. Seism Isol Prot Syst. 2010;1(1):125–40.

    Google Scholar 

  29. Lu LY, Lee TY, Yeh SW. Theory and experimental study for sliding isolators with variable curvature. Earthq Eng Struct Dyn. 2011;40:1609–27.

    Article  Google Scholar 

  30. Mokha A, Constantinou M, Reinhorn A. Teflon bearings in base isolation I: testing. J Struct Eng. 1990;116:438–54.

    Article  Google Scholar 

  31. Xue SD, Li XY, Cai YC. Experiments on a new type of seismic isolation bearing combined with Teflon frictional sliding system and springs. J Beijing Univ Technol. 2009;35(2):168–73 (in Chinese).

    Google Scholar 

  32. Ji XD, Kajiwara K, Nagae T, Enokida R, Nakashima M. A substructure shaking table test for reproduction of earthquake responses of high-rise buildings. Earthq Eng Struct Dyn. 2009;38(12):1381–99.

    Article  Google Scholar 

  33. Fermandois GA. Application of model-based compensation methods to real-time hybrid simulation benchmark. Mech Syst Signal Process. 2019;131:394–416.

    Article  ADS  Google Scholar 

  34. Chen C, Ricles JM, Marullo TM, Mercan O. Real-time hybrid testing using the unconditionally stable explicit CR integration algorithm. Earthq Eng Struct Dyn. 2009;38:23–44.

    Article  Google Scholar 

  35. Chen C, Ricles JM. Analysis of actuator delay compensation methods for real-time testing. Eng Struct. 2009;31:2643–55.

    Article  Google Scholar 

  36. Darby AP, Blakeborough A, Williams MS. Improved control algorithm for real-time substructure testing. Earthq Eng Struct Dyn. 2001;30(3):431–48.

    Article  Google Scholar 

  37. Darby AP, Williams MS, Blakeborough A. Stability and delay compensation for real-time substructure testing. J Eng Mech. 2002;128(12):1276–84.

    Article  Google Scholar 

  38. Chen C, Ricles JM. Improving the inverse compensation method for real-time hybrid simulation through a dual compensation scheme. Earthq Eng Struct Dyn. 2009;38:1237–55.

    Article  Google Scholar 

  39. Fu B, Kolay C, Ricles J, Jiang HJ, Wu T. Stability analysis of substructure shake table testing using two families of model-based integration algorithms. Soil Dyn Earthq Eng. 2019;126:105777.

    Article  Google Scholar 

  40. SAP2000. CSI analysis reference manual. Computers and Structures, Inc., 2009.

  41. Wilson EL. Three-dimensional static and dynamic analysis of structures: a physical approach with emphasis on earthquake engineering. Berkeley: Computers and Structures Inc; 2002.

    Google Scholar 

  42. Compagnoni ME, Curadelli O, Ambrosini D. Experimental study on the seismic response of liquid storage tanks with sliding concave bearings. J Loss Prev Process Ind. 2018;55:1–9.

    Article  Google Scholar 

  43. Pranesh M, Sinha R. Aseismic design of structure equipment systems using variable frequency pendulum isolator. Nucl Eng Des. 2004;231:129–39.

    Article  Google Scholar 

  44. Ge SJ, Wang W, Pan CP, Peng ZY, Zhao ZY, Shi CJ, Wang YX, Wang JQ, Liu L, Sun HL. A new variable curvature friction pendulum bearing with self-adaptive function. 2015, China patent No. ZL201310220186.7 (in Chinese).

  45. Wu B, Wang QY, Shing PB, Ou JP. Equivalent force control method for generalized real-time substructure testing with implicit integration. Earthq Eng Struct Dyn. 2007;36:1127–49.

    Article  Google Scholar 

Download references

Acknowledgements

The project is supported by Natural Science Foundation of Chongqing (cstc2020jcyj-msxmX0010), Fundamental Research Funds for the Central Universities (2020CDJ-LHZZ-013), the Key Research and Development (R&D) Program of Tangshan (No. 19150232E), the Fundamental Research Fund Project for the Universities affiliated to Hebei Province (No. JQN2020027) and the Youth Innovation Team of Shaanxi Universities which are gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shan Gao.

Ethics declarations

Conflict of interest

All the authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Appendix 1

This appendix contains the detailed information about the RTH experiment.

The schematic of the test setup consists of shaking table (ST), electro-hydraulic servo actuator (ATR), steel frame (Fm), four lateral supports (LS-1, LS-2, LS-3, and LS-4), five connectors (CTR-1, CTR-2, CTR-3, CTR-4, and CTR-5), and five hinges (HG-1, HG-2, HG-3, HG-4, and HG-5). The lateral supports (LS-2 and LS-4) are used to make the actuator move together with the shaking table during the experiment, the same as the hinges (HG-2, HG-4, and HG-5), and connectors (CTR-2, CTR-4, and CTR-5). The lateral supports (LS-1 and LS-3) fixed to the ground floor are used to provide the relative movement of the test specimen of the VCFPB.

To maintain translational motion of the test specimen during the test, this test specimen of the VCFPB (see Fig. 13) is divided into the upper and lower identical storeys, with four reduced scale submodels arranged on each storey. That is, this test specimen has eight reduced scale submodels in total. Please note that one reduced scale model is split into four reduced scale submodels.

Fig. 13
figure 13

Test specimen of the VCFPB

The displacement ratio of the reduced scale model to the prototype is 1/8 because of the geometrical similarity principle. Thus, the displacement feedback from the numerical substructure is multiplied by 1/8 to determine the input of the experimental substructure.

Based on the equal pressure on the PTFE plate, and combined with the geometrical similarity principle, the horizontal force ratio of the prototype to the reduced scale model is 82. Plus, there are 360 prototypes of the base isolation bearings in this LNG storage tank. Thereby, the force feedback from the force sensor (L1 or L2) is multiplied by (1/2 × 82 × 360) as the input of the numerical substructure.

Appendix 2

In the Euler­Gauss method, the responses during each step can be calculated from the initial conditions (displacement and velocity) at the beginning of this step and from the loading history during this step. Based on the initial conditions: the velocity \(\left\{ {\dot{x}_{i} } \right\}\) at i-th time step, the velocity \(\left\{ {\dot{x}_{{i + {1}}} } \right\}\) at (i + 1)-th time step can be obtained using the constant average acceleration method, and can be expressed as follows:

$$ \left\{ {\dot{x}_{{i + {1}}} } \right\} = \left\{ {\dot{x}_{i} } \right\} + \left( {\left\{ {\ddot{x}_{i} } \right\} + \left\{ {\ddot{x}_{{i + {1}}} } \right\}} \right)\frac{{\left( {\Delta t} \right)}}{{2}}, $$
(20)

where ∆t is the time interval.

By integrating Eq. (20) with the initial conditions: the displacement \(\left\{ {x_{i} } \right\}\) at i-th time step, the displacement \(\left\{ {x_{i + 1} } \right\}\) at (i + 1)-th time step can be got and expressed as follows:

$$ \left\{ {x_{{i + {1}}} } \right\} = \left\{ {x_{i} } \right\} + \left\{ {\dot{x}_{i} } \right\}\left( {\Delta t} \right) + \left( {\left\{ {\dot{x}_{i} } \right\} + \left\{ {\ddot{x}_{{i + {1}}} } \right\}} \right)\frac{{\left( {\Delta t} \right)^{2} }}{{4}} $$
(21)

and solving Eqs. (20) and (21) for the acceleration and velocity at (i + 1)-th time step results in:

$$ \left\{ {\ddot{x}_{{i + {1}}} } \right\} = \frac{{4}}{{\left( {\Delta t} \right)^{2} }}\left( {\left\{ {x_{{i + {1}}} } \right\} - \left\{ {x_{i} } \right\}} \right) - \frac{{4}}{\Delta t}\left\{ {\dot{x}_{i} } \right\} - \left\{ {\ddot{x}_{i} } \right\} $$
(22)
$$ \left\{ {\dot{x}_{{i + {1}}} } \right\} = \frac{{2}}{\Delta t}\left( {\left\{ {x_{{i + {1}}} } \right\} - \left\{ {x_{i} } \right\}} \right) - \left\{ {\dot{x}_{i} } \right\} $$
(23)

The back-substitutions of Eqs. (22) and (23) into Eq. (18) and simplifying give [45]:

$$ \left( {\frac{{4}}{{\left( {\Delta t} \right)^{2} }}\left[ {m_{{\text{N}}} } \right] + \frac{{2}}{{\left( {\Delta t} \right)}}\left[ {c_{{\text{N}}} } \right] + \left[ {k_{{\text{N}}} } \right]} \right)\left\{ {x_{{i + {1}}} } \right\} + \left\{ {R_{{\text{E}}} \left( {\ddot{x}_{{i + {1}}} ,\dot{x}_{{i + {1}}} ,x_{{i + {1}}} } \right)} \right\} = \left\{ {\left( {F_{{{\text{eq}}}} } \right)_{{i + {1}}} } \right\}, $$
(24)

where \(\left\{ {\left( {F_{{{\text{eq}}}} } \right)_{{i + {1}}} } \right\} = \left\{ {F_{{i + {1}}} } \right\} + \left[ {m_{{\text{N}}} } \right]\left\{ {\ddot{x}_{i} } \right\} + \left( {\frac{{4}}{\Delta t}\left[ {m_{{\text{N}}} } \right] + \left[ {c_{{\text{N}}} } \right]} \right)\left\{ {\dot{x}_{i} } \right\} + \left( {\frac{{4}}{{\left( {\Delta t} \right)^{2} }}\left[ {m_{{\text{N}}} } \right] + \frac{{2}}{{\left( {\Delta t} \right)}}\left[ {c_{{\text{N}}} } \right]} \right)\left\{ {x_{i} } \right\}. \)

The absolute and relative tolerances of the solver are the system default value and 0.001, respectively. The time step is variable in accordance with them.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lin, Sc., Wang, J., Gao, S. et al. Real-time hybrid test of a LNG storage tank with a variable curvature friction pendulum system. Archiv.Civ.Mech.Eng 21, 90 (2021). https://doi.org/10.1007/s43452-021-00245-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s43452-021-00245-z

Keywords

Navigation