Optimal Placement of Vibration Control Systems in a Smart Civil Engineering Structure
Downloads
Advancements in construction technologies have led to the development of lighter and more flexible structures, which pose new challenges in terms of seismic resistance. This study explores the effectiveness of integrating an Active Tendon (AT) control system to mitigate seismic-induced vibrations in tall buildings. The main objective is to identify the optimal placement of these active control devices to maximize structural performance. To this end, three optimization approaches are investigated: modal controllability analysis, controllability index evaluation, and genetic algorithm (GA)-based optimization. The methodological approach is based on the development of a comprehensive flowchart that integrates the optimization procedures alongside a comparative assessment of passive and active control strategies. Detailed simulations were carried out in MATLAB, enabling accurate time-history analyses and the implementation of customized control algorithms. This framework enables extensive parametric studies and supports a rigorous assessment of control system performance. The results clearly show that optimal tendon placement leads to a substantial improvement in vibration mitigation compared to uncontrolled cases. Comparative analyses underscore the respective strengths and applicability domains of each optimization method, confirming their effectiveness in identifying optimal actuator locations. The novelty of this study lies in the integration of modal and evolutionary optimization techniques within a unified framework, offering a systematic and versatile approach to the placement of control systems in civil engineering structures. The practical recommendations derived from this study provide valuable guidance for engineers and designers seeking to improve structural performance under seismic loading.
Downloads
[1] Yanik, A., Aldemir, U., & Bakioglu, M. (2011). Energy-based evaluation of seismic response of structures with passive and active systems. WIT Transactions on the Built Environment, 120, 67–78. doi:10.2495/ERES110061.
[2] Berglund, E. Z., Monroe, J. G., Ahmed, I., Noghabaei, M., Do, J., Pesantez, J. E., Khaksar Fasaee, M. A., Bardaka, E., Han, K., Proestos, G. T., & Levis, J. (2020). Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities. Journal of Infrastructure Systems, 26(2), 03120001. doi:10.1061/(asce)is.1943-555x.0000549.
[3] Ramírez-Neria, M., Morales-Valdez, J., & Yu, W. (2022). Active vibration control of building structure using active disturbance rejection control. JVC/Journal of Vibration and Control, 28(17–18), 2171–2186. doi:10.1177/10775463211009377.
[4] Askari, M., Li, J., & Samali, B. (2017). Cost-effective multi-objective optimal positioning of magnetorheological dampers and active actuators in large nonlinear structures. Journal of Intelligent Material Systems and Structures, 28(2), 230–253. doi:10.1177/1045389X16649449.
[5] Jasiński, M., Salamak, M., & Gerges, M. (2024). Tendon layout optimization in statically indeterminate structures using neural networks and genetic algorithm. Engineering Structures, 305. doi:10.1016/j.engstruct.2024.117713.
[6] Block, P., Boller, G., DeWolf, C., Pauli, J., & Kaufmann, W. (2024). Modelling of prestress losses in 3D tendon layout optimization using strain energy minimization. Proceedings of the IASS 2024 Symposium, 26-30 August, 2024, Zurich, Switzerland.
[7] Jiwapatria, S., Setio, H. D., Sidi, I. D., & Kusumaningrum, P. (2024). Multi-objective optimization of active control system using population guidance and modified reference-point-based NSGA-II. Results in Control and Optimization, 16(June), 100453. doi:10.1016/j.rico.2024.100453.
[8] Zhao, W., & Gu, L. (2023). Hybrid Particle Swarm Optimization Genetic LQR Controller for Active Suspension. Applied Sciences (Switzerland), 13(14), 8204. doi:10.3390/app13148204.
[9] Li, Q. S., Liu, D. K., Tang, J., Zhang, N., & Tam, C. M. (2004). Combinatorial optimal design of number and positions of actuators in actively controlled structures using genetic algorithms. Journal of Sound and Vibration, 270(4–5), 611–624. doi:10.1016/S0022-460X(03)00130-5.
[10] Rama Mohan Rao, A., & Sivasubramanian, K. (2008). Optimal placement of actuators for active vibration control of seismic excited tall buildings using a multiple start guided neighbourhood search (MSGNS) algorithm. Journal of Sound and Vibration, 311(1–2), 133–159. doi:10.1016/j.jsv.2007.08.031.
[11] Pourzeynali, S., Lavasani, H. H., & Modarayi, A. H. (2007). Active control of high rise building structures using fuzzy logic and genetic algorithms. Engineering Structures, 29(3), 346–357. doi:10.1016/j.engstruct.2006.04.015.
[12] Salvi, J., Pioldi, F., & Rizzi, E. (2018). Optimum Tuned Mass Dampers under seismic Soil-Structure Interaction. Soil Dynamics and Earthquake Engineering, 114(July), 576–597. doi:10.1016/j.soildyn.2018.07.014.
[13] Gutierrez Soto, M., & Adeli, H. (2013). Placement of control devices for passive, semi-active, and active vibration control of structures. Scientia Iranica, 20(6), 1567–1578.
[14] Cha, Y. J., Agrawal, A. K., Kim, Y., & Raich, A. M. (2012). Multi-objective genetic algorithms for cost-effective distributions of actuators and sensors in large structures. Expert Systems with Applications, 39(9), 7822–7833. doi:10.1016/j.eswa.2012.01.070.
[15] Liu, D. K., Yang, Y. L., & Li, Q. S. (2003). Optimum positioning of actuators in tall buildings using genetic algorithm. Computers and Structures, 81(32), 2823–2827. doi:10.1016/j.compstruc.2003.07.002.
[16] Cheng, F. Y., Jiang, H., & Zhang, X. (2002). Optimal placement of dampers and actuators based on stochastic approach. Earthquake Engineering and Engineering Vibration, 1(2), 237–249. doi:10.1007/s11803-002-0069-y.
[17] Wani, Z. R., & Tantray, M. (2022). Study on integrated response-based adaptive strategies for control and placement optimization of multiple magneto-rheological dampers-controlled structure under seismic excitations. JVC/Journal of Vibration and Control, 28(13–14), 1712–1726. doi:10.1177/10775463211000483.
[18] Yanik, A., Aldemir, U., & Bakioglu, M. (2014). A new active control performance index for vibration control of three-dimensional structures. Engineering Structures, 62–63, 53–64. doi:10.1016/j.engstruct.2014.01.009.
[19] Zhang, J., Zhu, Y., Li, Z., & Tu, J. (2022). Research on optimal placement of actuators of high-rise buildings considering the influence of seismic excitation on structural modes. Buildings, 12(1), 8. doi:10.3390/buildings12010008.
[20] Rather, F., & Alam, M. (2021). Active seismic control strategy for comparable simultaneous reductions of more than one response. Asian Journal of Civil Engineering, 22(5), 929–940. doi:10.1007/s42107-021-00355-2.
[21] Zhou, C., Liu, Y., Wu, J., & Zhou, C. (2020). Optimal Sensor Placement and Minimum Number Selection of Sensors for Health Monitoring of Transmission Towers. Shock and Vibration, 2375947. doi:10.1155/2020/2375947.
[22] Mei, Z., Guo, Z., Chen, L., Wang, H., & Gao, Y. (2020). Genetic algorithm-based integrated optimization of active control systems for civil structures subjected to random seismic excitations. Engineering Optimization, 52(10), 1700–1719. doi:10.1080/0305215X.2019.1677632.
[23] Hamdaoui, K., Benadla, Z., Chitaoui, H., & Benallal, M. E. (2019). Dynamic behavior of a seven century historical monument reinforced by shape memory alloy wires. Smart Structures and Systems, 23(4), 337–345. doi:10.12989/sss.2019.23.4.337.
[24] Pioldi, F., Salvi, J., & Rizzi, E. (2017). Refined FDD modal dynamic identification from earthquake responses with Soil-Structure Interaction. International Journal of Mechanical Sciences, 127, 47–61. doi:10.1016/j.ijmecsci.2016.10.032.
[25] Özuygur, A. R., & Gündüz, A. N. (2018). Optimal Control of Structures under Earthquakes Including Soil-Structure Interaction. Journal of Earthquake Engineering, 22(8), 1317–1335. doi:10.1080/13632469.2016.1277567.
[26] Chowdhury, I., Tarafdar, R., Ghosh, A., & Dasgupta, S. P. (2017). Dynamic soil structure interaction of bridge piers supported on well foundation. Soil Dynamics and Earthquake Engineering, 97, 251–265. doi:10.1016/j.soildyn.2017.03.005.
[27] Wang, J., & Chopra, A. K. (2009). Linear analysis of concrete arch dams including dam–water–foundation rock interaction considering spatially varying ground motions. Earthquake Engineering & Structural Dynamics, 39(7), 731–750. doi:10.1002/eqe.968.
[28] Cheng, F. Y., Jiang, H., & Lou, K. (2008). Smart structures: innovative systems for seismic response control. CRC Press, Boca Raton, United States. doi:10.1201/9781420008173.
[29] Etedali, S., Akbari, M., & Seifi, M. (2019). MOCS-based optimum design of TMD and FTMD for tall buildings under near-field earthquakes including SSI effects. Soil Dynamics and Earthquake Engineering, 119, 36–50. doi:10.1016/j.soildyn.2018.12.027.
[30] Liu, M. Y., Chiang, W. L., Hwang, J. H., & Chu, C. R. (2008). Wind-induced vibration of high-rise building with tuned mass damper including soil-structure interaction. Journal of Wind Engineering and Industrial Aerodynamics, 96(6–7), 1092–1102. doi:10.1016/j.jweia.2007.06.034.
- Authors retain all copyrights. It is noticeable that authors will not be forced to sign any copyright transfer agreements.
- This work (including HTML and PDF Files) is licensed under a Creative Commons Attribution 4.0 International License.
