1. report date 2. report type briefing charts optimal ... · report date (dd-mm-yyyy) 22 june 2015...
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1. REPORT DATE (DD-MM-YYYY) 22 June 2015
2. REPORT TYPEBriefing Charts
3. DATES COVERED (From - To) 19 June 2015 – 22 June 2015
4. TITLE AND SUBTITLE Optimal Runge-Kutta Schemes for High-order Spatial and Temporal Discretizations
5a. CONTRACT NUMBER
5b. GRANT NUMBER
5c. PROGRAM ELEMENT NUMBER
6. AUTHOR(S) Mundis, N., Edoh, A. and Sankaran, V.
5d. PROJECT NUMBER
5e. TASK NUMBER
5f. WORK UNIT NUMBER Q12J
7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NO.
Air Force Research Laboratory (AFMC) AFRL/RQR 5 Pollux Drive Edwards AFB, CA 93524-7048
9. SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S) Air Force Research Laboratory (AFMC) AFRL/RQR 11. SPONSOR/MONITOR’S REPORT
5 Pollux Drive NUMBER(S)
Edwards AFB, CA 93524-7048 AFRL-RQ-ED-VG-2015-268
12. DISTRIBUTION / AVAILABILITY STATEMENT Approved for public release; distribution unlimited 13. SUPPLEMENTARY NOTES For presentation at 22nd AIAA Computational Fluid Dynamics Conference; Dallas, TX; 22 June 2015 PA Case Number: #15352; Clearance Date: 6/29/2015
14. ABSTRACT Viewgraphs/Briefing Charts
15. SUBJECT TERMS N/A
16. SECURITY CLASSIFICATION OF:
17. LIMITATION OF ABSTRACT
18. NUMBER OF PAGES
19a. NAME OF RESPONSIBLE PERSON
V. Sankaran
a. REPORT Unclassified
b. ABSTRACT Unclassified
c. THIS PAGE Unclassified
SAR 29 19b. TELEPHONE NO
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N/A Standard Form
298 (Rev. 8-98) Prescribed by ANSI Std. 239.18
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5
Dis
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6
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7
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9
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14
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18
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19
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Po
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20
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21
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22
Alm
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vor
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Sn
eak
Pea
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ilter
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23
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uti
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Un
limit
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Co
ncl
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s
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d - a
nd 3
rd-o
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tim
e in
teg
rato
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or
5th -
ord
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spat
ial s
chem
es a
re in
adeq
uat
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The
sam
e or
der
of s
patia
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tem
pora
l dis
cret
izat
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is p
refe
rabl
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–H
owev
er, E
SD
IRK
5 is
not
muc
h be
tter
than
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impl
icit
stag
es v
s. 5
impl
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igh
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tim
e in
teg
rato
rs:
–D
o no
t sho
w s
igni
fican
t im
prov
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t on
coar
se g
rids
at C
FL
of o
ne
–A
re b
ette
r at
hig
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num
ber
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re b
ette
r on
hig
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refin
ed g
rids
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pat
ial e
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sual
ly d
om
inat
es f
or
typ
ical
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um
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s an
d g
rid
res
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ns
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entr
al d
iffer
ence
plu
s ar
tific
ial d
issi
patio
n sc
hem
es a
re in
adeq
uate
24
Dis
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on
A –
Ap
pro
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fo
r p
ub
lic r
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Dis
trib
uti
on
Un
limit
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Fu
ture
Wo
rk
• Im
ple
men
t m
ore
acc
ura
te s
pat
ial s
chem
es o
f th
e sa
me
ord
ers
of
accu
racy
–
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pact
-diff
eren
ce s
chem
es
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ilter
ing
sche
mes
•D
eriv
e b
ette
r E
SD
IRK
sch
emes
tai
lore
d t
o t
he
des
ired
dis
sip
atio
n a
nd
dis
per
sio
n p
rop
erti
es
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dd
pre
con
dit
ion
ing
to
tak
e m
axim
um
ad
van
tag
e o
f th
e E
SD
IRK
tim
e in
teg
rato
rs f
or
stif
f p
rob
lem
s –
Impr
oved
con
verg
ence
effi
cien
cy
–Im
prov
ed s
olut
ion
accu
racy
25
Dis
trib
uti
on
A –
Ap
pro
ved
fo
r p
ub
lic r
elea
se;
Dis
trib
uti
on
Un
limit
ed
Qu
esti
on
s??
?
26
Dis
trib
uti
on
A –
Ap
pro
ved
fo
r p
ub
lic r
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se;
Dis
tr
Dis
trib
uti
on
A –
Ap
pro
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fo
r p
ub
lic r
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se;
Dis
trib
uti
on
Un
limit
ed
Ext
ra S
lides
27