Simulating water hammer with corrective smoothed particle method

Q. Hou; A.C.H. Kruisbrink; A.S. Tijsseling; A. Keramat

Simulating water hammer with corrective smoothed particle method

Q. Hou
, A.C.H. Kruisbrink
, A.S. Tijsseling
, A. Keramat

Scientific Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

Abstract

The corrective smoothed particle method (CSPM) is used to simulate water hammer. The spatial derivatives in the water-hammer equations are approximated by a corrective kernel estimate. For the temporal derivatives, the Euler-forward time integration algorithm is employed. The CSPM results are in good agreement with solutions obtained by the method of characteristics (MOC). A parametric study gives insight in the effects of particle distribution, smoothing length and kernel function. Three typical water-hammer problems are solved. CSPM will not beat MOC in classical water-hammer, but it has potential for water-hammer problems with free surfaces as seen in column separation and slug impact.

Original language	English
Title of host publication	Proceedings of the 11th International Conference on Pressure Surges (Lisbon, Portugal, October 24-26, 2012)
Editors	S. Anderson
Publisher	BHR Group Limited
Pages	171-187
ISBN (Print)	978-1-85598-133-1
Publication status	Published - 2012
Event	conference; 11th International Conference on Pressure Surges; 2012-10-24; 2012-10-26 - Duration: 24 Oct 2012 → 26 Oct 2012

Conference

Conference	conference; 11th International Conference on Pressure Surges; 2012-10-24; 2012-10-26
Period	24/10/12 → 26/10/12
Other	11th International Conference on Pressure Surges

Cite this

@inproceedings{ba6f8661981846efa00d6b326603a257,

title = "Simulating water hammer with corrective smoothed particle method",

abstract = "The corrective smoothed particle method (CSPM) is used to simulate water hammer. The spatial derivatives in the water-hammer equations are approximated by a corrective kernel estimate. For the temporal derivatives, the Euler-forward time integration algorithm is employed. The CSPM results are in good agreement with solutions obtained by the method of characteristics (MOC). A parametric study gives insight in the effects of particle distribution, smoothing length and kernel function. Three typical water-hammer problems are solved. CSPM will not beat MOC in classical water-hammer, but it has potential for water-hammer problems with free surfaces as seen in column separation and slug impact.",

author = "Q. Hou and A.C.H. Kruisbrink and A.S. Tijsseling and A. Keramat",

year = "2012",

language = "English",

isbn = "978-1-85598-133-1",

pages = "171--187",

editor = "S. Anderson",

booktitle = "Proceedings of the 11th International Conference on Pressure Surges (Lisbon, Portugal, October 24-26, 2012)",

publisher = "BHR Group Limited",

note = "conference; 11th International Conference on Pressure Surges; 2012-10-24; 2012-10-26 ; Conference date: 24-10-2012 Through 26-10-2012",

}

Hou, Q, Kruisbrink, ACH, Tijsseling, AS & Keramat, A 2012, Simulating water hammer with corrective smoothed particle method. in S Anderson (ed.), Proceedings of the 11th International Conference on Pressure Surges (Lisbon, Portugal, October 24-26, 2012). BHR Group Limited, pp. 171-187, conference; 11th International Conference on Pressure Surges; 2012-10-24; 2012-10-26, 24/10/12.

Simulating water hammer with corrective smoothed particle method. / Hou, Q.; Kruisbrink, A.C.H.; Tijsseling, A.S. et al.
Proceedings of the 11th International Conference on Pressure Surges (Lisbon, Portugal, October 24-26, 2012). ed. / S. Anderson. BHR Group Limited, 2012. p. 171-187.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Simulating water hammer with corrective smoothed particle method

AU - Hou, Q.

AU - Kruisbrink, A.C.H.

AU - Tijsseling, A.S.

AU - Keramat, A.

PY - 2012

Y1 - 2012

N2 - The corrective smoothed particle method (CSPM) is used to simulate water hammer. The spatial derivatives in the water-hammer equations are approximated by a corrective kernel estimate. For the temporal derivatives, the Euler-forward time integration algorithm is employed. The CSPM results are in good agreement with solutions obtained by the method of characteristics (MOC). A parametric study gives insight in the effects of particle distribution, smoothing length and kernel function. Three typical water-hammer problems are solved. CSPM will not beat MOC in classical water-hammer, but it has potential for water-hammer problems with free surfaces as seen in column separation and slug impact.

AB - The corrective smoothed particle method (CSPM) is used to simulate water hammer. The spatial derivatives in the water-hammer equations are approximated by a corrective kernel estimate. For the temporal derivatives, the Euler-forward time integration algorithm is employed. The CSPM results are in good agreement with solutions obtained by the method of characteristics (MOC). A parametric study gives insight in the effects of particle distribution, smoothing length and kernel function. Three typical water-hammer problems are solved. CSPM will not beat MOC in classical water-hammer, but it has potential for water-hammer problems with free surfaces as seen in column separation and slug impact.

M3 - Conference contribution

SN - 978-1-85598-133-1

SP - 171

EP - 187

BT - Proceedings of the 11th International Conference on Pressure Surges (Lisbon, Portugal, October 24-26, 2012)

A2 - Anderson, S.

PB - BHR Group Limited

T2 - conference; 11th International Conference on Pressure Surges; 2012-10-24; 2012-10-26

Y2 - 24 October 2012 through 26 October 2012

ER -

Simulating water hammer with corrective smoothed particle method

Abstract

Conference

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