On the identification of well-behaved turbulent boundary layers

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Fältnamn	Indikatorer	Metadata
000		03985naa a2200397 4500
001		oai:DiVA.org:kth-209525
003		SwePub
008		170620s2017 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2095252 URI
024	7	a https://doi.org/10.1017/jfm.2017.2582 DOI
040		a (SwePub)kth
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Sanmiguel Vila, C.4 aut
245	1 0	a On the identification of well-behaved turbulent boundary layers
264		c 2017-05-31
264	1	b Cambridge University Press,c 2017
338		a print2 rdacarrier
500		a QC 20170620
520		a This paper introduces a new method based on the diagnostic plot (Alfredsson et al., Phys. Fluids, vol. 23, 2011, 041702) to assess the convergence towards a well-behaved zero-pressure-gradient (ZPG) turbulent boundary layer (TBL). The most popular and well-understood methods to assess the convergence towards a well-behaved state rely on empirical skin-friction curves (requiring accurate skin-friction measurements), shape-factor curves (requiring full velocity profile measurements with an accurate wall position determination) or wake-parameter curves (requiring both of the previous quantities). On the other hand, the proposed diagnostic-plot method only needs measurements of mean and fluctuating velocities in the outer region of the boundary layer at arbitrary wall-normal positions. To test the method, six tripping configurations, including optimal set-ups as well as both under- and overtripped cases, are used to quantify the convergence of ZPG TBLs towards well-behaved conditions in the Reynolds-number range covered by recent high-fidelity direct numerical simulation data up to a Reynolds number based on the momentum thickness and free-stream velocity of approximately 4000 (corresponding to 2.5 m from the leading edge) in a wind-tunnel experiment. Additionally, recent high-Reynolds-number data sets have been employed to validate the method. The results show that weak tripping configurations lead to deviations in the mean flow and the velocity fluctuations within the logarithmic region with respect to optimally tripped boundary layers. On the other hand, a strong trip leads to a more energized outer region, manifested in the emergence of an outer peak in the velocity-fluctuation profile and in a more prominent wake region. While established criteria based on skin-friction and shape-factor correlations yield generally equivalent results with the diagnostic-plot method in terms of convergence towards a well-behaved state, the proposed method has the advantage of being a practical surrogate that is a more efficient tool when designing the set-up for TBL experiments, since it diagnoses the state of the boundary layer without the need to perform extensive velocity profile measurements.
650	7	a TEKNIK OCH TEKNOLOGIERx Maskinteknikx Strömningsmekanik och akustik0 (SwePub)203062 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Mechanical Engineeringx Fluid Mechanics and Acoustics0 (SwePub)203062 hsv//eng
653		a turbulent boundary layers
653		a turbulent flows
700	1	a Vinuesa, Ricardou KTH,Stabilitet, Transition, Kontroll,Linné Flow Center, FLOW4 aut0 (Swepub:kth)u12xffui
700	1	a Discetti, S.4 aut
700	1	a Ianiro, A.4 aut
700	1	a Schlatter, Philippu KTH,Stabilitet, Transition, Kontroll,Linné Flow Center, FLOW4 aut0 (Swepub:kth)u18wf7mg
700	1	a Örlü, R.4 aut
710	2	a KTHb Stabilitet, Transition, Kontroll4 org
773	0	t Journal of Fluid Mechanicsd : Cambridge University Pressg 822, s. 109-138q 822<109-138x 0022-1120x 1469-7645
856	4	u https://e-archivo.uc3m.es/bitstream/10016/31587/1/identification_JFM_2017_ps.pdf
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209525
856	4 8	u https://doi.org/10.1017/jfm.2017.258

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