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Sloshing simulation of a tank oscillating towards multiple degrees of freedom by particle method

Abstract

Problém nárazu nádrže je velmi důležitý ve fázi navrhování lodí LNG / LPG. Tento problém způsobuje impulzní zatížení lodních struktur a často je považován za nelineární. Za účelem správného odhadu těchto impulsních zatížení bylo provedeno mnoho studií jak pomocí experimentálních, tak i numerických přístupů. Tento výzkum se soustřeďuje na impulsní tlak na stěnu nádrže vyvolaný nucenými vícestupňovými oscilacemi. V předchozím experimentu se ukázalo, že nucené vícestupňové oscilace způsobují silnější impulzivní tlak ve srovnání s jednotlivými oscilacemi. V této studii je popsána numerická analýza metodou částic založená na technice konečných objemů pro simulaci výše uvedených jevů. Navrhovaná metoda částic se zdá být užitečná pro simulaci silného nelineárního jevu. Autoři srovnávají vypočtené výsledky časové historie tlaku s experimentálními výsledky.

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Sloshing simulation of a tank oscillating towards multiple degrees of freedom by particle method

Author: Hibi, Shigeyuki
Publisher: Technická univerzita v Liberci, Česká republika
Year: 2019
Source: https://dspace.tul.cz/bitstreams/ba37a898-8907-424f-9e30-7ea718359216/download
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ACC JOURNAL 2019, Volume 25, Issue 1 DOI: 10.15240/ ul/004/2019-1-001
SLOSHING SIMULATION OF A TANK OSCILLATING TOWARDS MULTIPLE
DEGREES OF FREEDOM BY PARTICLE METHOD
Shigeyuki Hibi1; Kazuki Yabushi a
Na ional De ense Academy, Depa men o Mechanical Sys ems Enginee ing,
1-10-20 Hashi imizu, Yokosuka, Kanagawa, 239-8686, Japan
e-mail: 1[email p o ec ed]c.jp
Abs ac
The ank sloshing p oblem is e y impo an a design ime in LNG/LPG ships. This p oblem
causes impulsi e loads o ship s uc u es and is o en ea ed as a non-linea one. In o de o
es ima e hese impulsi e loads, p ope ly many s udies ha e been ca ied ou h ough bo h
expe imen al and nume ical app oaches. Impulsi e p essu e on he wall o a ank induced by
o ced mul i-deg ee oscilla ions is ocused in his esea ch. I is shown in he pas au ho s’
expe imen ha o ced mul i-deg ee oscilla ions cause s onge impulsi e p essu e as
compa ed o indi idual oscilla ions. Nume ical analysis by a pa icle me hod based on ini e
olume echnique is in oduced in his s udy o simula e he abo e phenomena. The sugges ed
pa icle me hod is shown o be use ul o simula ing a s ong nonlinea phenomenon. The
au ho s discuss he calcula ed esul s o p essu e ime his o y wi h he expe imen al esul s.
Keywo ds
Sloshing; Impulsi e load and p essu e; Pa icle me hod; Fini e olume me hod.
In oduc ion
Sloshing is a phenomenon in which a liquid su ace luc ua es iolen ly when a ank wi h a
ee su ace is shaken a a cycle close o he na u al pe iod o he ank. La ge impulsi e loads
may be applied o walls o he ank a his ime. In LNG/LPG ships sailing h ough i egula
wa es, la ge impulsi e p essu e may be gene a ed on he wall nea ceiling a ea when liquid
ca go collides o walls o a ca go ank. Then i is impo an o know he luc ua ing p essu e
caused by sloshing when conside ing he s eng h o ank as a s uc u al membe in ship
design.
On he o he hand, i is known ha a ship na iga ing h ough wa es has a coupled mo ion o
wo deg ees o eedom and h ee deg ees o eedom, called longi udinal mo ion and la e al
mo ion, espec i ely. Fo his eason, he hull will luc ua e wi h a phase di e ence in some
axial di ec ion o o a ion di ec ion o hose axes. As a esul , i is possible ha la ge sloshing
may be caused in anks inside he ship.
In he p e ious s udy [1] an appa a us which can oscilla e a ank by o ce was in oduced in
o de o in es iga e impulsi e p essu e on he wall o he ank. This appa a us can oscilla e i
simul aneously owa ds 3 deg ees o eedom (up-down, le - igh and o a ion) wi h each
phase di e ences. Th ough he expe imen s i was shown la ge impulsi e p essu e could be
exci ed unde oscilla ing he ank simul aneously owa ds mul iple deg ees o eedom han
unde single di ec ion oscilla ion and he speci ic phase di e ences o appea he la ges peak
alues o p essu e was iden i ied.
In his s udy he au ho s e i ied he esul s o abo e expe imen s by nume ical simula ion.
The au ho s ha e de eloped a pa icle me hod [2] wi h ini e olume echnique in o de o
8
s ably simula e a luid phenomenon wi h s ong nonlinea i y such as sloshing. A i s s a ic
p essu e in a ank was e i ied wi h he pa icle me hod a ying he pa icle numbe . Nex by
compa ing he ime his o y o p essu e wi h he expe imen esul o p e ious s udy, he
e ec i eness o he p oposed pa icle me hod was assu ed.
1 Nume ical Analysis Based on Pa icle Me hod wi h Fini e Volume Technique
In pa icle me hods, luid is modeled as a collec ion o pa icles and disc e ized by
conside ing he in e ac ion be ween pa icles wi hou a calcula ion la ice. The e o e, pa icle
me hods a e sui able o in ense luid analysis wi h s ong nonlinea i y. He e, we explain he
ou line o he pa icle me hod p oposed by us wi h ini e olume echniques.
The undamen al equa ions desc ibed by a luid pa icle coo dina es
ˆ
a e ep esen ed by he
Na ie –S okes equa ions and he con inuous equa ion.
(1)
(2)
He e is he speed o pa icles, p is he p essu e o pa icles,

is he densi y o luid, K is
ou e o ces and

is he kinema ic coe icien o iscoci y o luid. F om Gauss’s heo em
equa ions (1) and (2) a e ans o med in o low equa ions o in eg al shape.
(3)
(4)
He e n is he no mal ec o o a pa icle and V is he olume o a pa icle.
E en ually, he disc e ized equa ions a e de i ed om equa ions (3) and (4) in he p oposed
me hod.
(5)
(6)
He e
9
(7)
Subsc ip i means he pa icle numbe o in e es and subsc ip j means he neighbo ing
pa icle numbe o he pa icle i. Supe sc ip n indica es he ime s ep numbe .
i means posi ion ec o o he i- h pa icle. The pa icles a e assumed o be sphe ical (in 2D
model jus ound) and he in luence o he neighbo ing pa icle j o he pa icle i is ca ied ou
h ough he mic o su ace a ea

Sij exp essed by equa ion (7) acco ding o he concep o he
Fini e Volume Me hod.
R s ands o he adius o a pa icle and sa is ies he ollowing equa ion.
πR2 = D2
(8)
D is he a e age in e -pa icle dis ance and is de e mined by he spa ial esolu ion o he
calcula ion model. This pa ame e co esponds o he smoo hing leng h h in he SPH[3].
Conside ing he e iciency and s abili y o calcula ion, i is conside ed ha neighbo ing
pa icles a om he so called in luence adius e do no a ec . In his s udy he ollowing
allue is adop ed o he pa ame e e.
e = 3.1 D
(9)
The p essu e alue o pa icles a each ime s ep is ob ained by implici ely sol ing he
equa ion (6) using he PCGS me hod The eloci y alue o pa icles is also ob ained om he
equa ion (5) implici ly using he PCGS me hod in case o conside ing iscosi y o luid and
explici ly in case ha iscosi y is no aken in o conside a ion.
2 Expe imen al Appa a us and Condi ion
2.1 Speci ica ion o Oscilla ion Appa a us
The appa a us used in his s udy can oscilla e a ank a ached on he b acke ha monically and
simul aneously owa ds 3 deg ees o eedom wi h each phase di e ences (See Fig. 1 and
Table 1).
The size o ank is 400, 400, 100 (mm) (Heigh , Wid h, Dep h). We de ine he symbols o he
oscilla ion di ec ions o 3 deg ees o eedom as ollows in Fig. 2. Hea e oscilla ion (Up –
down) s ands o Z and Sway oscilla ion (Le – igh ) s ands o X and Roll oscilla ion
(Ro a ion) s ands o

.
A p essu e senso is a ached on he igh side o he ank moun ed on he appa a us. The
posi ion o he senso is 40 mm om he bo om. The p essu e ecei e has ound a ea wi h
diame e o 8mm.
10
Fig. 1: Oscilla ion appa a us wi h 3 deg ees o eedom
Tab. 1: Speci ica ion o he appa a us abou oscilla ion
Di ec ion o oscilla ion
Maximum ampli ude
Minimum pe iod
Hea e (Z) (Up-down)
50
mm
1.0 sec.
Sway (X) (Le - igh )
50
mm
1.0 sec.
Roll (

) ( o a ion)
45
deg.
1.0 sec.
2.2 Selec ion o Phase Di e ences du ing Simul aneous Oscilla ion owa ds
2 Deg ees o F eedom
In p e ious s udy [1] we chose 3 pai s o 2 deg ees o eedom om 3 ones. Those will be
subsc ibed as ollows (


X,


Z, X

Z ). The oscilla ion pe iod is uni o mly 1.08 sec. which
is close o he na u al pe iod o he ank in case o he wa e dep h is 60 mm ( ixed). The
oscilla ion ampli udes a e 15 mm o X and Z and 20 deg ees o

.
We measu ed ime his o ies o p essu e on he wall o he ank epea edly while changing he
phase di e ence om 0 deg ee o 360 deg ees. We iden i ied he phase di e ence which
cause he la ges peak alue o p essu e o each oscilla ion pai (


X,


Z, X

Z ). The
esul s a e shown in Table 2.
Tab. 2: Phase di e ence which cause he la ges peak alue
Oscilla ion pai
Phase di e ence


X
15 deg ees


Z
335 deg ees
X

Z
220 deg ees
11
3 Nume ical Simula ion and Discussion
3.1 Compa ison o Calcula ion Accu acy o he Pa icle Me hod wi h S a ic
P essu e
A i s we con i m accu acy o he p oposed pa icle me hod by s a ic p essu e. In Fig. 2 a
ank model used in he abo e expe imen is shown. Wa e dep h is 60mm as in he
expe imen . The o al pa icle numbe is 3,700. The a e age in e -pa icle dis ance D is 38
mm. We de ine his model o spa ial esolu ion as he base model and name i X1 model. In
addi ion o his model we p epa e 3 addi ional models named X1/2 (1,500 pa icles), X2
(10,500 pa icles), X4 (33,700 pa icles) model o which D is hal , double and 4 imes each
o he .
Nume ical simula ion was ca ied ou wi h he ime s ep o 0.0001 sec. in all cases. Fig. 3
shows he ime his o y o s a ic p essu e a he bo om o ank. In all calcula ion models we
can see some luc ua ions o he i s ew seconds in simula ion ime and a e ha he
p essu e alues become ai ly s able. These luc ua ions o p essu e occu when ela i e
posi ion o pa icles u ns mo e s able and close om he ini ial pa icle a angemen in a
e agonal la ice.
Fig. 2: Ini ial pa icle a angemen o s a ic p essu e
Table 2 shows Compa ison o s a ic p essu e wi h he heo e ical alue. I can be seen ha he
calcula ion accu acy is imp o ed acco ding o he spa ial esolu ion.
Tab. 3: Compa ison o s a ic p essu e wi h he heo e ical alue
Simula ion esul (Pa)
E o (%)
X1
616
3.36
X2
610
2.35
X4
607
1.85

12
Fig. 3: Time his o y o s a ic p essu e a he bo om o ank
3.2 Nume ical Simula ion o Fo ced Oscilla ion owa ds 2 Deg ees o F eedom
Nume ical simula ion was ca ied ou unde he same condi ions as expe imen ob ained in
Sec ion 3.2. Fig. 4 (a) o Fig. 4 (d) show compa ison o he expe imen and simula ion esul s
o ime his o y o p essu e alue a he posi ion whe e he p essu e senso is a ached. The
expe imen al alues a e esul s ob ained h ough a 100Hz low-pass il e and he accu acy o
hose esul s a e e alua ed by a FFT analysis and s a is ical app oaches in he p e ious
pape [1].
F om hese esul s, i can be seen ha he nume ical esul s ha e good ag eemen wi h he
expe imen o each models whe e p essu e peaks a e obse ed. Bu a he ime when he
p essu e senso is exposed by o ced oscilla ion as shown in Fig. 6 (a) and (b), he p essu e
alues by nume ical simula ion a e 0 in any models, whe eas he expe imen esul s show
signi ican alues which is no 0. The eason o his is due o iscosi y and su ace ension in
ac ual wa e . E en i he p essu e senso is exposed, ac ually some wa e is a eling on he
wall su ace o some wa e emains on he senso because o su ace ension. Howe e he
cu en p oposed pa icle me hod does no conside hese e ec s.
0 4 8
560
600
640 X1 (3,700)
X2 (10,500)
X4 (33,700)
p (Pa)
(sec)
13
Fig. 4 (a): Time his o y abou


X
oscilla ion.
Fig. 4 (b): Time his o y abou


Z
oscilla ion.
Fig. 4 (c): Time his o y abou X

Z
oscilla ion
Fig. 4 (d): Time his o y abou


X
oscilla ion.
Al hough he peak pe iod and peak alue shown in Figu es a e almos ep oduced, he
simula ion esul s show ha he p essu e alues a e e alua ed o a smalle alue as compa ed
wi h he expe imen al alues in all models. One eason o his is ha ela i ely low peak
alues a e conside ed o be di icul o s and due o nume ical iscosi y. Ano he eason is
belie ed o be due o he ela ion be ween he a ea o he p essu e senso and he special
esolu ion in he simula ion. While he diame e o he p essu e senso is 8 mm, he a e age
in e -pa icle dis ance D is 38 mm in he X1 model and 19 mm in he X2 model. Fu he s udy
will be needed o his p oblem.
4 6 8
0
1000
2000
Exp.
X2 model
X1 model
Exp.
X2 model
X1 model
(s)
p(Pa)
4 5 6
0
2000
4000
6000
X2 model
Exp.
X1 model
X2 model
Exp.
X1 model
p(Pa)
(s)
3 4 5 6
0
1000
2000
Exp.
X2 model
X1 model
p(Pa)
(s)
4 6
0
1000
2000
Exp.
X1 model
Exp.
X1/2 model
X1 model
(s)
p(Pa)
14
Fig. 6 (c): Time his o y abou Z

X
oscilla ion.
3 4 5 6
0
1000
2000
Viscosi y
X2 model
X1 model
p(Pa)
(s)
Fig. 6 (b): Time his o y abou


Z
oscilla ion.
4 5 6
0
2000
4000
6000
X2 model
Viscosi y
X1 model
X2 model
Viscosi y
X1 model
p(Pa)
(s)
Fig. 6 (a): Time his o y abou


X
oscilla ion.
4 6 8
0
1000
2000
Viscosi y
X2 model
X1 model
Viscosi y
X2 model
X1 model
(s)
p(Pa)
Fig. 5 (b): Momen o exposu e o he
p essu e senso abou X

Z
oscilla ion.
Fig. 5 (a): Momen o exposu e o he
p essu e senso abou


X
oscilla ion.
15
In Fig. 4 (d) he nume ical esul added o he X1/2 model abou


X is shown. E eni he
numbe o pa icles is jus 1,500, i is obse ed ha he accu acy o he analysis is simila .
This shows he supe io i y o he p oposed pa icle me hod.
Fig. 6 (a) o Fig. 6 (c) show compa ison o he expe imen and simula ion esul s conside ing
luid isco si y o ime his o y o p essu e alue a he posi ion whe e he p essu e senso is
a ached.
F om hese esul s, i can be seen ha he e ce ainly is a endency ha he p essu e
luc ua ion becomes loose , such as peak alues bu e en in he case o conside ing he
in luence o he luid iscosi y, he e is no big change in he o e all p essu e luc ua ion. This
implies ha in luence o he luid isco si y is limi ed in he simula ion o in ense lows like
his s udy’s expe imen e en hough explici ly aking in o conside a ion and he su ace
ension and we abili y by ha may be much mo e .impo an o p essu e luc ua ion.
Conclusion
In his s udy he au ho s ca ied ou nume ical simula ion o o ced oscilla ion owa ds
2 deg ees o eedom and compa ed wi h he p e ious expe imen al esul s. Some
conside a ions we e ound abou i as below.
 E ec i eness o he p oposed pa icle me hod is shown h ough he nume ical simula ion
o in ense sloshing phenomena.
 In addi ion o he shape o he p essu e senso , he iscosi y o wa e and he su ace
ension on he wall o ank a e conside ed o be ela ed o he p essu e luc ua ion.
Li e a u e
[1] HIBI, S.: S udy on he impulsi e p essu e o ank oscilla ing by o ce owa ds mul iple
deg ees o eedom. EPJ Web o Con e ences. 2018, Vol. 180, Pape No. 02034.
DOI: 10.1051/epjcon /201818002034
[2] YABUSHITA, K.; HIBI, S: o be pos ed. Jou nal o Ma ine Science and Technology.
[3] MONAGHAN, J. J.: Simula ing F ee Su ace Flows wi h SPH. Jou nal o
Compu a ional Physics. 1994, Vol. 110, Issue 2, pp. 399–406.
Shigeyuki Hibi; Kazuki Yabushi a