journal article·2022-06

Magnetorheological damper modeling based on a refined constitutive model for MR fluids

Pei Pei, Yongbo Peng, Canxing Qiu

Publisher page

Abstract

A systematic modeling study is conducted to predict the dynamic response of magnetorheological (MR) damper based on a refined constitutive model for MR fluids. A particle-level simulation method is first employed to probe the microstructured behavior and rheological properties of MR fluids, based on which the refined constitutive model is developed. The constitutive model is further validated by comparing the predicted results with the data obtained from microscopic simulations and existing experiments. It is revealed that the proposed constitutive model has comparable accuracy and good applicability in representing MR fluids. Subsequently, a computational fluid dynamics (CFD) model is established to explore MR damper’s behavior by using the proposed constitutive model to describe the fluid rheology. For better capturing the dynamic hysteretic behavior of MR damper, a modified parametric model is developed by combing the Bingham plastic model and the proposed constitutive model. The modified model for MR damper shows its validity and superiority over the existing Bingham plastic models.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Vibration Control and Rheological Fluids · Seismic Performance and Analysis · Fluid Dynamics and Vibration Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, P.R. China

College of Civil Engineering, Tongji University, Shanghai, P.R. China

Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai, P.R. China

The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, P.R. China

Funding

national natural science foundation of china · natural science foundation of shanghai

References (50)

Show source-provided references
1. Bingham EC · 1922 · 2
2. Case D · 2012 · 1203
3. 10.1109/TMECH.2013.226570110.1109/TMECH.2013.2265701 ↗
4. 10.1088/1361-665X/ab710d10.1088/1361-665X/ab710d ↗
5. 10.1016/j.polymer.2005.10.02910.1016/j.polymer.2005.10.029 ↗
6. 10.1115/1.314288510.1115/1.3142885 ↗
7. 10.1016/j.ijmecsci.2019.10526510.1016/j.ijmecsci.2019.105265 ↗
8. 10.1016/j.jiec.2019.07.04910.1016/j.jiec.2019.07.049 ↗
9. 10.1177/1045389X1244729310.1177/1045389X12447293 ↗
10. 10.1088/1361-665X/aac62a10.1088/1361-665X/aac62a ↗
11. 10.1007/s11071-005-6464-y10.1007/s11071-005-6464-y ↗
12. 10.1007/BF0143203410.1007/BF01432034 ↗
13. 10.1177/1045389X0708294910.1177/1045389X07082949 ↗
14. 10.1177/1045389X1350833210.1177/1045389X13508332 ↗
15. 10.1122/1.208517510.1122/1.2085175 ↗
16. 10.1155/2019/324691510.1155/2019/3246915 ↗
17. 10.1016/j.sna.2006.03.01510.1016/j.sna.2006.03.015 ↗
18. 10.1122/1.55061410.1122/1.550614 ↗
19. 10.1088/1361-665X/abb0a110.1088/1361-665X/abb0a1 ↗
20. 10.1007/s42417-020-00215-410.1007/s42417-020-00215-4 ↗
21. 10.1016/j.ymssp.2011.11.00810.1016/j.ymssp.2011.11.008 ↗
22. 10.1016/j.ijmecsci.2012.08.00610.1016/j.ijmecsci.2012.08.006 ↗
23. 10.1039/D0SM01149E10.1039/D0SM01149E ↗
24. 10.1177/1045389X2095125910.1177/1045389X20951259 ↗
25. 10.1017/jmech.2018.2610.1017/jmech.2018.26 ↗
26. 10.1039/C5SM00625B10.1039/C5SM00625B ↗
27. 10.1088/0964-1726/19/3/03501210.1088/0964-1726/19/3/035012 ↗
28. 10.1039/c2sm07275k10.1039/c2sm07275k ↗
29. 10.1122/1.158285410.1122/1.1582854 ↗
30. 10.1177/1045389X1667902210.1177/1045389X16679022 ↗
31. 10.1061/(ASCE)0733-9399(1997)123:3(230)10.1061/(ASCE)0733-9399(1997)123:3(230) ↗
32. 10.1016/0304-3886(87)90056-810.1016/0304-3886(87)90056-8 ↗
33. 10.1177/1045389X1559138110.1177/1045389X15591381 ↗
34. 10.1177/1045389X0810097910.1177/1045389X08100979 ↗
35. Teixeira PCF · ASCE-ASME Journal Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering · 2019 · 5 · 04100310.1115/1.4044039 ↗
36. 10.1039/C7SM01204G10.1039/C7SM01204G ↗
37. 10.1088/0964-1726/20/2/02300110.1088/0964-1726/20/2/023001 ↗
38. 10.1088/0964-1726/22/8/08501810.1088/0964-1726/22/8/085018 ↗
39. 10.1016/j.molliq.2021.11638910.1016/j.molliq.2021.116389 ↗
40. 10.1007/s00397-005-0058-y10.1007/s00397-005-0058-y ↗
41. 10.1002/stc.150910.1002/stc.1509 ↗
42. 10.1103/PhysRevE.84.01150410.1103/PhysRevE.84.011504 ↗
43. Yang GQ · 2001
44. 10.1061/(ASCE)0733-9399(2004)130:9(1107)10.1061/(ASCE)0733-9399(2004)130:9(1107) ↗
45. 10.1177/1045389X1347615110.1177/1045389X13476151 ↗
46. Yu Y · Smart Structures and Systems · 2019 · 24 · 303
47. 10.1088/1361-665X/abb57310.1088/1361-665X/abb573 ↗
48. 10.1016/j.engstruct.2016.11.05510.1016/j.engstruct.2016.11.055 ↗
49. 10.1016/j.jmmm.2019.16637710.1016/j.jmmm.2019.166377 ↗
50. 10.1088/0964-1726/24/10/10502410.1088/0964-1726/24/10/105024 ↗