journal article·2023-11-02

Comparison of cable tension force prediction using effective length with linear regression and two-mode combination method

Muhammad Ibnu Syamsi, Chung-Yue Wang, Van-Son Nguyen

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Abstract

The development of vibration-based tension determination has increased in recent years. The effective vibration length concept is one of the most robust methods in dealing with various end-rotational support stiffness. Recently, a two-mode combination approach by compelling multiple frequencies and effective lengths has been developed to replace the bending rigidity from the cable relationship so the tension can be solved explicitly. This paper aims to compare the tension prediction using the effective length concept with two existing methods: linear regression and the two-mode combination. Three cases of cable support: hinged-hinged (Case 1), hinged-fixed (Case 2), and fixed-fixed (Case 3), are studied through numerical simulation. The cable is vibrated under random excitation, and its dynamical properties are extracted through the SSI method. Equivalent frequencies and equivalent-effective lengths are computed to perform the two-mode approach. The study shows that linear regression produces more minor errors than the two-mode combination method, either for Cases 1, 2, or 3. The theoretical results are presented to figure out the cause of errors. However, linear regression and the two-mode method both produce promising results in calculating the cable tension in these three cases. Similar results are also shown in the study using experimental laboratory test data.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Structural Health Monitoring Techniques · Vibration and Dynamic Analysis · Structural Engineering and Vibration Analysis

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

Affiliations

Department of Civil Engineering, National Central University, Taoyuan City, Taiwan

Department of Civil Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta City, Indonesia

Department of Transportation Engineering, Can Tho University, Can Tho City, Vietnam

References (47)

Show source-provided references
1. 10.1080/10589759.2012.69578510.1080/10589759.2012.695785 ↗
2. 10.1080/10589759.2014.100283910.1080/10589759.2014.1002839 ↗
3. 10.1061/(ASCE)0733-9399(2009)135:8(75910.1061/(ASCE)0733-9399(2009)135:8(759 ↗
4. 10.1006/mssp.1999.124910.1006/mssp.1999.1249 ↗
5. 10.1016/0165-1684(96)00052-710.1016/0165-1684(96)00052-7 ↗
6. 10.1007/978-1-4613-0465-410.1007/978-1-4613-0465-4 ↗
7. Brincker R, Andersen P Understanding stochastic subspace identification. Proceedings of the 24th IMAC St Louis, Missouri, USA. 2006;126.
8. 10.1016/0165-1684(96)00052-710.1016/0165-1684(96)00052-7 ↗
9. 10.1002/stc.183610.1002/stc.1836 ↗
10. 10.1016/j.ymssp.2008.05.00310.1016/j.ymssp.2008.05.003 ↗
11. 10.1016/j.engstruct.2012.07.03110.1016/j.engstruct.2012.07.031 ↗
12. 10.12989/sem.2015.56.6.93910.12989/sem.2015.56.6.939 ↗
13. 10.12989/sem.2015.56.6.93910.12989/sem.2015.56.6.939 ↗
14. 10.1080/10589759.2021.190084610.1080/10589759.2021.1900846 ↗
15. 10.1061/(ASCE)BE.1943-5592.000109110.1061/(ASCE)BE.1943-5592.0001091 ↗
16. 10.1111/mice.1255710.1111/mice.12557 ↗
17. 10.1016/j.ymssp.2008.05.00310.1016/j.ymssp.2008.05.003 ↗
18. 10.1061/(ASCE)BE.1943-5592.000042110.1061/(ASCE)BE.1943-5592.0000421 ↗
19. 10.12989/sss.2013.12.3_4.46510.12989/sss.2013.12.3_4.465 ↗
20. 10.1063/1.367942010.1063/1.3679420 ↗
21. 10.1142/S021945541640016210.1142/S0219455416400162 ↗
22. 10.1016/j.measurement.2018.07.05310.1016/j.measurement.2018.07.053 ↗
23. 10.1016/j.measurement.2011.01.00510.1016/j.measurement.2011.01.005 ↗
24. 10.1061/(ASCE)CF.1943-5509.000100210.1061/(ASCE)CF.1943-5509.0001002 ↗
25. 10.1061/(ASCE)BE.1943-5592.000101110.1061/(ASCE)BE.1943-5592.0001011 ↗
26. 10.1016/j.measurement.2015.07.03710.1016/j.measurement.2015.07.037 ↗
27. 10.1016/j.measurement.2016.12.02010.1016/j.measurement.2016.12.020 ↗
28. 10.1016/j.jsv.2008.02.04810.1016/j.jsv.2008.02.048 ↗
29. 10.1061/(ASCE)BE.1943-5592.000020010.1061/(ASCE)BE.1943-5592.0000200 ↗
30. 10.1061/(ASCE)0733-9445(1996)122:6(651)10.1061/(ASCE)0733-9445(1996)122:6(651) ↗
31. Huang Y-H, Fu J-Y, Wang R-H, et al. Practical formula to calculate tension of vertical cable with hinged-fixed conditions based on vibration method. J Vibro Eng. 2014;16(2):997–1009.
32. 10.1002/stc.155910.1002/stc.1559 ↗
33. 10.1016/j.measurement.2016.02.05310.1016/j.measurement.2016.02.053 ↗
34. 10.1117/12.88034610.1117/12.880346 ↗
35. 10.1080/1573247050025312310.1080/15732470500253123 ↗
36. 10.1016/j.jsv.2009.12.00910.1016/j.jsv.2009.12.009 ↗
37. 10.1080/10589759.2011.55672810.1080/10589759.2011.556728 ↗
38. Humar J. Dynamics of structures. Englewood Cliffs, New Jersey: Prentice-Hall; 1990.
39. 10.1088/0964-1726/23/2/02500610.1088/0964-1726/23/2/025006 ↗
40. Chen C-C, Wu W-H, Tseng H-Z, et al. Identification of dynamic parameters of stay cables using commercial camcorder. 5th European Workshop on Structural Health Monitoring 2010 Naples, Italy; 2010.
41. 10.12989/sss.2013.11.4.41110.12989/sss.2013.11.4.411 ↗
42. Wu W-H, Chen C-C, Leu M-R, et al. Determination of stay cable force based on multiple vibration measurements to consider the effects of unsymmetrical boundary constraints 6th European Workshop on Structural Health Monitoring Dresden,Germany 2012 . NDT. net Bad Breisig 1049–1056.
43. Wu, W-H , Chen C-C , Liu C-Y, et al. Determination of stay cable force based on multiple vibration measurements to consider the effects of uncertain boundary constraints. Proceedings of 5th European Workshop on Structural Health Monitoring; 2010; Naples, Italy.
44. 10.1016/j.engstruct.2018.03.07010.1016/j.engstruct.2018.03.070 ↗
45. 10.1016/j.measurement.2018.03.07710.1016/j.measurement.2018.03.077 ↗
46. 10.1016/j.measurement.2022.11131910.1016/j.measurement.2022.111319 ↗
47. 10.1016/j.engstruct.2020.11112110.1016/j.engstruct.2020.111121 ↗