Metamodeling for robust design of energy harvesting devices using multiobjective optimizations
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OpenAlex topics: Innovative Energy Harvesting Technologies · Energy Harvesting in Wireless Networks · Building Energy and Comfort Optimization
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References (58)
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1. Ali, S.F., Friswell, M.I., Adhikari, S.: Piezoelectric energy harvesting with parametric uncertainty. Smart Mater. Struct. 19(10), 105010 (2010)10.1088/0964-1726/19/10/105010 ↗
2. Aloui, R., Larbi, W., Chouchane, M.: Global sensitivity analysis of piezoelectric energy harvesters. Compos. Struct. 228, 111317 (2019)10.1016/j.compstruct.2019.111317 ↗
3. Aloui, R., Larbi, W., Chouchane, M.: Metamodeling and sensitivity analysis of a piezoelectric energy harvester based on polynomial chaos expansions. In: Conference on Structural Nonlinear Dynamics and Diagnosis, pp 165–176 (2022)10.1007/978-981-99-7958-5_13 ↗
4. Beyer, H.G., Sendhoff, B.: Robust optimization-a comprehensive survey. Comput. Methods Appl. Mech. Eng. 196(33–34), 3190–3218 (2007)10.1016/j.cma.2007.03.003 ↗
5. Bouhlel, M.A., Martins, J.R.R.A.: Gradient-enhanced kriging for high-dimensional problems. Eng. Comput. 35(1), 157–173 (2019)10.1007/s00366-018-0590-x ↗
6. Campolongo, F., Cariboni, J., Saltelli, A.: An effective screening design for sensitivity analysis of large models. Environ. Modell. Softw. 22(10), 1509–1518 (2007)10.1016/j.envsoft.2006.10.004 ↗
7. Cunha, A., Jr.: Enhancing the performance of a bistable energy harvesting device via the cross-entropy method. Nonlinear Dyn. 103(1), 137–155 (2021)10.1007/s11071-020-06109-0 ↗
8. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.A.M.T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)10.1109/4235.996017 ↗
9. Dutoit, N.E., Wardle, B.L., Kim, S.G.: Design considerations for mems-scale piezoelectric mechanical vibration energy harvesters. Integr. Ferroelectr. 71(1), 121–160 (2005)10.1080/10584580590964574 ↗
10. Erturk, A., Inman, D.J.: An experimentally validated bimorph cantilever model for piezoelectric energy harvesting from base excitations. Smart Mater. Struct. 18(2), 025009 (2009)10.1088/0964-1726/18/2/025009 ↗
11. Erturk, A., Inman, D.J.: Piezoelectric Energy Harvesting. John Wiley & Sons, (2011)10.1002/9781119991151 ↗
12. Franco, V.R., Varoto, P.S.: Parameter uncertainties in the design and optimization of cantilever piezoelectric energy harvesters. Mech. Syst. Signal Process. 93, 593–609 (2017)10.1016/j.ymssp.2017.02.030 ↗
13. Feng, K., Lu, Z., Yang, C.: Enhanced Morris method for global sensitivity analysis: good proxy of Sobol’ index. Struct. Multidiscip. Optim. 59(2), 373–387 (2019)10.1007/s00158-018-2071-7 ↗
14. Godoy, T.C., Trindade, M.A., Deü, J.-F.: Topological optimization of piezoelectric energy harvesting devices for improved electromechanical efficiency and frequency range. In: Proceedings of 10th World Congress on Computational Mechanics (WCCM 2012), São Paulo, pp 4003–4016 (2014)10.5151/meceng-wccm2012-19664 ↗
15. Hosseinloo, A.H., Turitsyn, K.: Design of vibratory energy harvesters under stochastic parametric uncertainty: a new optimization philosophy. Smart Mater. Struct. 25(5), 055023 (2016)10.1088/0964-1726/25/5/055023 ↗
16. Lataniotis, C., Wicaksono, D., Marelli, S., Sudret, B.: UQLab user manual – Kriging (Gaussian process modeling). Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Switzerland, Report UQLab-V2.1-105 (2024)
17. Lee, K.H., Park, G.J.: Robust optimization considering tolerances of design variables. Comput. Struct. 79(1), 77–86 (2001)10.1016/S0045-7949(00)00117-6 ↗
18. Lee, K.H., Park, G.J.: A global robust optimization using Kriging based approximation model. JSME Int. J. Ser. C 49(3), 779–788 (2006)10.1299/jsmec.49.779 ↗
19. Leo, D.J.: Engineering Analysis of Smart Material Systems. John Wiley & Sons (2007)10.1002/9780470209721 ↗
20. Lobato, F.S., Steffen Jr, V.: Multi-Objective Optimization Problems: Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications. Springer (2017)10.1007/978-3-319-58565-9 ↗
21. Lopes, M.V., Eckert, J.J., Martins, T.S., Santos, A.A.: Optimizing strain energy extraction from multi-beam piezoelectric devices for heavy haul freight cars. J. Braz. Soc. Mech. Sci. Eng. 42(1), 59 (2020)10.1007/s40430-019-2150-8 ↗
22. Lopes, M.V., Eckert, J.J., Martins, T.S., dos Santos, A.A.: Multi-objective optimization of piezoelectric vibrational energy harvester orthogonal spirals for ore freight cars. J. Braz. Soc. Mech. Sci. Eng. 43(6), 295 (2021)10.1007/s40430-021-03014-4 ↗
23. Lopez, R.H., Beck, A.T.: Reliability-based design optimization strategies based on FORM: a review. J. Braz. Soc. Mech. Sci. Eng. 34, 506–514 (2012)10.1590/S1678-58782012000400012 ↗
24. Luo, L., Liu, D., Zhu, M., Ye, J.: Metamodel-assisted design optimization of piezoelectric flex transducer for maximal bio-kinetic energy conversion. J. Intell. Mater. Syst. Struct. 28(18), 2528–2538 (2017)10.1177/1045389X17689943 ↗
25. Kim, J., Lee, T.H., Song, Y., Sung, T.H.: Robust design optimization of fixed-fixed beam piezoelectric energy harvester considering manufacturing uncertainties. Sens. Actuators A 260, 236–246 (2017)10.1016/j.sna.2017.02.031 ↗
26. Kroetz, H.M., Tessari, R.K., Beck, A.T.: Performance of global metamodeling techniques in solution of structural reliability problems. Adv. Eng. Softw. 114, 394–404 (2017)10.1016/j.advengsoft.2017.08.001 ↗
27. Mann, B.P., Barton, D.A.W., Owens, B.A.M.: Uncertainty in performance for linear and nonlinear energy harvesting strategies. J. Intell. Mater. Syst. Struct. 23(13), 1451–1460 (2012)10.1177/1045389X12439639 ↗
28. Marelli, S., Sudret, B.: UQLab: A framework for uncertainty quantification in Matlab. In: Vulnerability, uncertainty, and risk: quantification, mitigation, and management, pp 2554–2563 (2014)10.1061/9780784413609.257 ↗
29. Marler, R.T., Arora, J.S.: Survey of multi-objective optimization methods for engineering. Struct. Multidiscip. Optim. 26(6), 369–395 (2004)10.1007/s00158-003-0368-6 ↗
30. Marqui Junior, C., Erturk, A., Inman, D.J.: An electromechanical finite element model for piezoelectric energy harvester plates. J. Sound Vib. 327(1–2), 9–25 (2009)10.1016/j.jsv.2009.05.015 ↗
31. Martins, P.H., Trindade, M.A., Varoto, P.S.: Simplified robust and multiobjective optimization of piezoelectric energy harvesters with uncertain parameters. Int. J. Mech. Mater. Des. 18(1), 63–85 (2022)10.1007/s10999-021-09586-2 ↗
32. Martins, P.H., Trindade, M.A., Varoto, P.S.: Improving the robust design of piezoelectric energy harvesters by using polynomial chaos expansion and multiobjective optimization. Int. J. Mech. Mater. Des. 20, 571–590 (2024)10.1007/s10999-023-09691-4 ↗
33. Meng, D., Yang, S., de Jesus, A.M.P., Zhu, S.-P.: A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower. Renew. Energy 203, 407–420 (2023)10.1016/j.renene.2022.12.062 ↗
34. Meng, D., Yang, S., De Jesus, A.M.P., Fazeres-Ferradosa, T., Zhu, S.-P.: A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopile. Comput. Methods Appl. Mech. Eng. 412, 116083 (2023)10.1016/j.cma.2023.116083 ↗
35. Meng, D., Yang, H., Yang, S., Zhang, Y., De Jesus, A.M.P., Correia, J., Fazeres-Ferradosa, T., Macek, W., Branco, R., Zhu, S.-P.: Kriging-assisted hybrid reliability design and optimization of offshore wind turbine support structure based on a portfolio allocation strategy. Ocean Eng. 295, 116842 (2024)10.1016/j.oceaneng.2024.116842 ↗
36. Morris, M.D.: Factorial sampling plans for preliminary computational experiments. Technometrics 33(2), 161–174 (1991)10.1080/00401706.1991.10484804 ↗
37. Ng, T.H., Liao, W.H.: Sensitivity analysis and energy harvesting for a self-powered piezoelectric sensor. J. Intell. Mater. Syst. Struct. 16(10), 785–797 (2005)10.1177/1045389X05053151 ↗
38. Norenberg, J., Cunha, A., Jr., da Silva, S., Varoto, P.S.: Global sensitivity analysis of asymmetric energy harvesters. Nonlinear Dyn. 109(2), 443–458 (2022)10.1007/s11071-022-07563-8 ↗
39. Ottman, G.K., Hofmann, H.F., Bhatt, A.C., Lesieutre, G.A.: Adaptive piezoelectric energy harvesting circuit for wireless remote power supply. IEEE Trans. Power Electron. 17(5), 669–676 (2002)10.1109/TPEL.2002.802194 ↗
40. Park, G.J., Lee, T.H., Lee, K.H., Hwang, K.H.: Robust design: an overview. AIAA J. 44(1), 181–191 (2006)10.2514/1.13639 ↗
41. Palar, P.S., Liem, R.P., Zuhal, L.R., Shimoyama, K.: On the use of surrogate models in engineering design optimization and exploration: The key issues. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp 1592–1602 (2019)10.1145/3319619.3326813 ↗
42. Phadke, M.S.: Quality Engineering Using Robust Design. Prentice Hall PTR (1995)
43. Peralta, P., Ruiz, R.O., Natarajan, S., Atroshchenko, E.: Parametric study and shape optimization of piezoelectric energy harvesters by isogeometric analysis and kriging metamodeling. J. Sound Vib. 484, 115521 (2020)10.1016/j.jsv.2020.115521 ↗
44. Poles, S., Lovison, A.: A polynomial chaos approach to robust multiobjective optimization. In: Schloss-Dagstuhl-Leibniz Zentrum für Informatik (2009)
45. Priya, S., Inman, D.J.: Energy Harvesting Technologies. Springer, Vol. 21 (2009)10.1007/978-0-387-76464-1 ↗
46. Rao, S.S.: (2009) Engineering Optimization: Theory and Practice. John Wiley & Sons10.1002/9780470549124 ↗
47. Ruiz, R.O., Meruane, V.: Uncertainties propagation and global sensitivity analysis of the frequency response function of piezoelectric energy harvesters. Smart Mater. Struct. 26(6), 065003 (2017)10.1088/1361-665X/aa6cf3 ↗
48. Santos, C.R., Silva, M.M., Marques, F.: Optimization of energy harvesting from stall-induced oscillations using the multidimensional Kriging metamodel. J. Comput. Nonlinear Dyn. 14(7), 071008 (2019)10.1115/1.4043451 ↗
49. Santos, H.F.L., Trindade, M.A.: Structural vibration control using extension and shear active-passive piezoelectric networks including sensitivity to electrical uncertainties. J. Braz. Soc. Mech. Sci. Eng. 33(3), 287–301 (2011)10.1590/S1678-58782011000300004 ↗
50. Schuëller, G.I., Jensen, H.A.: Computational methods in optimization considering uncertainties-an overview. Comput. Methods Appl. Mech. Eng. 198(1), 2–13 (2008)10.1016/j.cma.2008.05.004 ↗
51. Seong, S., Hu, C., Lee, S.: Design under uncertainty for reliable power generation of piezoelectric energy harvester. J. Intell. Mater. Syst. Struct. 28(17), 2437–2449 (2017)10.1177/1045389X17689945 ↗
52. Sodano, H.A., Inman, D.J., Park, G.: A review of power harvesting from vibration using piezoelectric materials. Shock Vib. Digest 36(3), 197–206 (2004)10.1177/0583102404043275 ↗
53. Soize, C., Ghanem, R.: Physical systems with random uncertainties: chaos representations with arbitrary probability measure. SIAM J. Sci. Comput. 26(2), 395–410 (2004)10.1137/S1064827503424505 ↗
54. Sudret, B.: Global sensitivity analysis using polynomial chaos expansions. Reliabil. Eng. Syst. Safety 93(7), 964–979 (2008)10.1016/j.ress.2007.04.002 ↗
55. Sudret, B., Marelli, S., Wiart, J.: Surrogate models for uncertainty quantification: An overview. In: 2017 11th European Conference on Antennas and Propagation (EUCAP), IEEE, pp 793–797 (2017)10.23919/EuCAP.2017.7928679 ↗
56. Tosin, M., Côrtes, A.M.A., Cunha, A.: A tutorial on Sobol’ global sensitivity analysis applied to biological models. Networks in Systems Biology: Applications for Disease Modeling, Springer, pp 93–118 (2020)10.1007/978-3-030-51862-2_6 ↗
57. Tsui, K.L.: An overview of Taguchi method and newly developed statistical methods for robust design. IIE Trans. 24(5), 44–57 (1992)10.1080/07408179208964244 ↗
58. Zang, C., Friswell, M.I., Mottershead, J.: A review of robust optimal design and its application in dynamics. Comput. Struct. 83(4), 315–326 (2005)10.1016/j.compstruc.2004.10.007 ↗