Experimental and Simulation Investigation of an Adaptive Pendulum-Tuned Mass Damper for Engineering Structures
Main Article Content
Abstract
Slender civil structures remain vulnerable to dynamic actions, making robust, implementation-ready damping strategies a design priority. Building on our earlier feasibility study, which introduced an active, liquid-based pendulum-tuned mass damper with mass redistribution for real-time retuning in skyscrapers, the present work generalizes the concept to an adaptive pendulum-tuned mass damper in which variable pendulum length is the primary mechanism of adaptation — independent of any specific actuation technology. We developed a compact model of the coupled flexible frame–adaptive pendulum-tuned mass damper system with explicitly linearized descriptors suited for tuning and design. Then, we validated it experimentally on a shake-table using a flexible frame equipped with an adaptive pendulum-tuned mass damper. The quantitative comparison considers tuned and detuned settings under identical operating conditions. In numerical studies, adaptive length control at resonance achieves up to 85% suppression relative to a fixed-length tuned mass damper, confirming the performance margin available from geometric retuning. In shake-table experiments, the undamped reference shows a peak floor acceleration of 4.8 m/s2. When optimally tuned (pendulum length 2 cm), the peak reduces to 1.8–2.0 m/s2, i.e., by ≈ 60–63%. Detuned settings yield 3.7 m/s2 (5 cm) and 3.2 m/s2 (7 cm) at 5 Hz, corresponding to ≈ 23% and ≈ 33% reductions, respectively. These measured values, together with the model–experiment error analysis, substantiate the predictive accuracy of the proposed framework and quantify the sensitivity to mistuning. The novelty of this study lies in the generalization and experimental validation of an adaptive pendulum-tuned mass damper with variable pendulum length as a practical solution for vibration control in slender engineering structures. Unlike earlier feasibility studies focused on a specific liquid-based implementation, the proposed compact modeling framework and shake-table experiments confirm superior mitigation efficiency (up to 80–85% at resonance) and provide directly applicable design guidelines for real structures.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
T. Fitzpatrick, P. Dallard, S. Le Bourva, A. Low, R.R. Smith, M. Willford, Linking London: The Millennium Bridge, Royal Academy of Engineering, 2001
G. Stefko, "Structural Mechanics and Dynamics Branch", NTRS — NASA Technical Reports Server, 2003, https://ntrs.nasa.gov/citations/20030107449
B. Xu, Ch. Xiang, Y. Qin, P. Ding, M. Dong, IEEE Access 6, 60274 (2018), https://doi.org/10.1109/ACCESS.2018.2875197
H. Frahm, Device for damping vibrations of bodies, US Patent US989958A, 1911, https://patents.google.com/patent/US989958A/en
J. Ormondroyd, J.P. Den Hartog, Trans. Ame. Soc. Mech. Eng. 49--50, 021007 (1928), https://doi.org/10.1115/1.4058553
J.P. Den Hartog, Mechanical Vibrations, Dover Publications, 1985
I.E. Brock, J. Appl. Mech 13, A284 (1946), https://doi.org/10.1115/1.4009588
B.G. Korenev, L. Reznikov, Dynamic Vibration Absorbers: Theory and Technical Applications, Nauka, Moscow 1988
J.Q. Sun, M.R. Jolly, M.A. Norris, J. Mech. Des. 117, 234 (1995), https://doi.org/10.1115/1.2836462
F. Yang, R. Sedaghati, E. Esmailzadeh, J. Vib. Control 28, 812 (2021), https://doi.org/10.1177/1077546320984305
S. Elias, V. Matsagar, Ann. Rev. Control 44, 129 (2017), https://doi.org/10.1016/j.arcontrol.2017.09.015
Y.-A. Lai, C.S.W. Yang, K.-H. Lien, L.-L. Chung, L.-Y. Wu, Struct. Control Health Monit. 23, 1218 (2016), https://doi.org/10.1002/stc.1834
P.Y. Lin, L.L. Chung, C.H. Loh, Comput.-Aided Civil Infrastruct. Eng. 20, 35 (2005), https://doi.org/10.1111/j.1467-8667.2005.00375.x
M. Żurawski, R. Zalewski, B. Chiliński, J. Theor. Appl. Mech. 58, 811 (2020), https://doi.org/10.15632/jtam-pl/122431
S.V. Bakre, R.S. Jangid, Struct. Control Health Monit. 14, 448 (2007), https://doi.org/10.1002/stc.166
R.R. Gerges, B.J. Vickery, Struct. Des. Tall Spec. Build. 14, 353 (2005), https://doi.org/10.1002/tal.273
D. Pietrosanti, M. De Angelis, M. Basili, Earthq. Eng. Struct. Dyn. 46, 1367 (2017), https://doi.org/10.1002/eqe.2861
G. Bertollucci Colherinhas, F. Petrini, M.V.G. de Morais, F. Bontempi, Wind Energy 24, 573 (2021), https://doi.org/10.1002/we.2590
A. Ghosh, B. Basu, Struct. Control Health Monit. 14, 681 (2007), https://doi.org/10.1002/stc.176
E. Diez-Jimenez, R. Rizzo, M.-J. Gómez-García, E. Corral-Abad, Shock Vib. 2019, 1250707 (2019), https://doi.org/10.1155/2019/1250707
H. Gao, C. Wang, Ch. Huang, W. Shi, L. Huo, Shock Vib. 2020, 9605028 (2020), https://doi.org/10.1155/2020/9605028
M. Gutierrez Soto, H. Adeli, Eng. Struct. 186, 536 (2019), https://doi.org/10.1016/j.engstruct.2019.02.031
I. Febrin Anas, T. Jafril, A. Syah Bintang, MATEC Web Conf. 229, 01013 (2018), https://doi.org/10.1051/matecconf/201822901013
S. Elias, V. Matsagar, J. Build. Eng. 15, 51 (2018), https://doi.org/10.1016/j.jobe.2017.11.005
L. Gagnon, M. Morandini, G.L. Ghiringhelli, J. Sound Vib. 459, 114865 (2019), https://doi.org/10.1016/j.jsv.2019.114865
R. Lewandowski, Redukcja Drgań Konstrukcji Budowlanych, Wyd. Nauk. PWN, Warsaw 2014 (in Polish)
Z. Lu, Z. Wang, S.F. Masri, X. Lu, Struct. Control Health Monit. 25, e2058 (2018), https://doi.org/10.1002/stc.2058
E.D. Khiabani, H. Ghaffarzadeh, B. Shiri, J. Katebi, J. Vib. Control 26, 1445 (2020), https://doi.org/10.1177/1077546319898570
D. Demetriou, N. Nikitas, Appl. Sci. 6, 397 (2016), https://doi.org/10.3390/app6120397
J. Alves Guimaraes, M. dos Reis Farias, M.T.B. César, R.M.M. Carneiro de Barros, Rev. Eng. Pesqui. Apl. 6, 55 (2021), https://bibliotecadigital.ipb.pt/entities/publication/3fbc5bd1-3385-4507-bc1c-d5b4d4bf34ee
T. Pais, D. Boote, Ocean Eng. 141, 249 (2017), https://doi.org/10.1016/j.oceaneng.2017.06.046
L. Wang, W. Shi, Y. Zhou, Struct. Des. Tall Spec. Build. 28, e1561 (2019), https://doi.org/10.1002/tal.1561
B. Chiliński, DynPy, GitHub, 2025, https://github.com/bogumilchilinski/dynpy
A. Mackojć, B. Chiliński, Bull. Pol. Acad. Sci. Tech. Sci. 70, e139003 (2022), https://doi.org/10.24425/bpasts.2021.139003
B. Chiliński, A. Mackojć, K. Mackojć, Ocean Eng. 259, 111835 (2022), https://doi.org/10.1016/j.oceaneng.2022.111835
K. Twardoch, D. Sierociński, Sustainability 17, 1837 (2025), https://doi.org/10.3390/su17051837
D. Sierociński, B. Chiliński, F. Gawiński, A. Radomski, P. Przybyłowicz, Energies 18, 332 (2025), https://doi.org/10.3390/en18020332
B. Chiliński, R. Kwiatkowski, K. Twardoch, A. Mackojć, Bull. Pol. Acad. Sci. Tech. Sci. 73, e154285 (2025), https://doi.org/10.24425/bpasts.2025.154285
K. Twardoch, K. Górski, R. Kwiatkowski, K. Jaśkielewicz, B. Chiliński, Sustainability 17, 6301 (2025), https://doi.org/10.3390/su17146301