Abstract
Mathematical modelling and numerical simulations have greatly contributed to the development of technical sciences in the recent decades. With powerful tools, like Maple, the examination of ever newer engineering applications in simulation environment was made possible. This paper gives an overview of mathematical modelling and numerical examination of nonlinear fire truck suspension systems using Maple. The examined models are the suspension system of a heavy-duty fire truck with different degrees of freedom and a special double-cabin fire truck suspension system with a crew compartment. The construction of mathematical models, their implementation to Maple and the numerical simulation results are explained. Detailed One-at-a-Time sensitivity analysis results using a novel fuzzy logic based evaluation method developed in Maple are also presented. With the proposed method an extended parameter range can be examined and the parameters can be easily compared. From the sensitivity analysis it was concluded that the spring characteristics and the road models greatly affect simulation results.
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References
Pidl, R.: Analytical approach to determine vertical dynamics of a semi-trailer truck from the point of view of goods protection. In: Podgorski, J., et al. (eds.) AIP Conference Proceedings 2018, vol. 1922, Paper No. 120003 (2008). https://doi.org/10.1063/1.5019118
Wu, W., Zhang S., Zhang Z.: athematical simulations and on-road experimentations of the vibration energy harvesting from mining dump truck hydro-pneumatic suspension. Shock and Vibration (2019). Article ID: 4814072
Danko, J., Milesich, T., Bucha, J.: Nonlinear model of the passenger car seat suspension system. Strojnícky časopis - J. Mech. Eng. 67(1), 23–28 (2017)
Avesh, Mohd, Srivastava, Rajeev: Passenger car active suspension system model for better dynamic characteristics. Natl. Acad. Sci. Lett. 43(1), 37–41 (2019). https://doi.org/10.1007/s40009-019-00807-z
Kovtun, V., Korotkevich, S., Mirchev, Y., Lodnya, V.: Optimization of fire truck’s tanks on the chassis MAZ-6317 by the method of computer simulation. Int. J. “NDT Days” 2(4), 495–500 (2019)
Kovtun, V.A., Korotkevich, S.G., Zharanov, V.A.: Computer simulation and research of the stress-strain state of fire tank truck construction. Vestnik Universiteta grazhdanskoy zashchity MCHS Belarusi (Bulletin of the University of Civil Protection of the MES of Belarus) 2017(1), 81–90 (2017). (in Russian)
Sund, S. M., Plouvier, M., Lie, B.: Comparison of simulation tools for dynamic models. In: Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59), 26–28 September 2018, Oslo Metropolitan University, Norway, pp. 177–184 (2018)
Molnárka, Gy., Gergó, L., Wettl, F., Horváth, A., Kallós, G.: Maple V and its applications. Springer Hungarica, Budapest (1996)
Zhao, X.X., Ing, A.H., Azad, N.L., McPhee, J.: An optimal gear-shifting strategy for heavy trucks with trade-off study between trip time and fuel economy. Int. J. Heavy Veh. Syst. 22(4), 356–374 (2015)
Zhao, X., Yang, J.: An optimal gear-shifting strategy for heavy trucks with trade-off study between trip time and fuel economy. Int. J. Heavy Veh. Syst. 22(4), 356–374 (2015)
Maplesoft: Engineering Solutions for Heavy Vehicles. https://www.maplesoft.com/solutions/engineering/IndustrySolutions/HeavyVehicles.aspx. Accessed 10 Dec 2020
Chonacky, N., Winch, D.: Maple, mathematica, and matlab: the 3M’S without the tape. Comput. Sci. Eng. 7, 8–16 (2005)
GarVan, F.: The Maple Book. CRC Press, Boca Raton (2001)
Saltelli, A., Chan, K., Scott, E.M.: Sensitivity Analysis. Wiley, Hoboken (2009)
Iwaniec, J.: Sensitivity analysis of an identification method dedicated to nonlinear systems working under operational loads. J. Theorethical Appl. Mech. 49, 419–438 (2011)
Murray-Smith, D.J.: The application of parameter sensitivity analysis methods to inverse simulation models. Math. Comput. Model. Dyn. Syst. 19(1), 1–24 (2012)
Zádor, J., Zsély, I. Gy., Turányi, T., Ratto, M., Tarantola, S., Saltelli, A.: Local and global uncertainty analyses of a methane flame model. J. Phys. Chem. A. 109(43), 9795–9807 (2005)
Rauh, A., Minisini, J., Hofer, E.P.: Verification techniques for sensitivity analysis and design of controllers for nonlinear dynamic systems with uncertainties. Int. J. Appl. Math. Comput. Sci. 19(3), 425–439 (2009). https://doi.org/10.2478/v10006-009-0035-1. https://sciendo.com/downloadpdf/journals/amcs/19/3/article-p425.pdf
Hamby, D.M.: A review of techniques for parameter sensitivity analysis of environmental models. Environ. Monit. Assess. 32(2), 135–154 (1994)
Kóczy, L.T., Tikk, D.: Fuzzy Systems (in Hungarian), Typotex (2012)
Fogel, D.B., Liu, D., Keller, J.M.: Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation, IEEE Press Series on Computationa Intelligence. Wiley (2016)
Maple FuzzySets. https://16.www.maplesoft.com/applications/view.aspx?SID=96899. Accessed 15 Oct 2020
Ahmad, I., Khan, A.: A comparative analysis of linear and nonlinear semi-active suspension system. Mehran Univ. Res. J. Engi. Technol. 37, 233–240 (2018)
Jiao, L.: Vehicle model for tyre-ground contact force evaluation, M.Sc thesis, KTH Royal Institute of Technology (2013)
Evers, W.J., Besselin, I., Teerhuism, A., Oomen, T., Nijmeijer, H.: Experimental validation of a quarter truck model using asynchronous measurements with low signal-to-noise ratios. In: 10th AVEC conference, Loughborough, UK. 22–26. August, 2010, pp. 177–182, Loughborough University Department of Aeronautical & Automotive Engineering & Transport Studies (2010)
Zhu, Q., Ishitobi, M.: Chaotic vibration of a nonlinear full-vehicle model. Int. J. Solids Struct. 43(3–4), 747–759 (2015)
Cui, Y., Kurfess, T. R., Messman, M.: Testing and modeling of nonlinear properties of shock absorbers for vehicle dynamics studies. In: Proceedings of the World Congress on Engineering and Computer Science 2010 Vol II WCECS 2010, San Francisco, USA, pp. 949–954. Newswood Limited (2010)
Dixon, J.C.: Suspension Geometry and Computation. Wiley, Chichester (2009)
Hajdu, F., Kuti, R.: Examination of chaotic vibrations during operation of a fire truck. In: Proceedings of MAC 2018 in Prague Prag, Czech Republic, 25–27 May 2018, pp. 163–170. MAC Prague consulting Ltd., Prague, Czech Republic (2018)
Corless, R.M.: What good are numerical simulations of chaotic dynamical systems? Comput. Math. Appl. 28(10–12), 107–121 (1994)
Corless R.M., Fillion N.: Backward error analysis for perturbation methods. In: Fillion, N., Corless, R., Kotsireas, I. (eds.) Algorithms and Complexity in Mathematics, Epistemology, and Science. Fields Institute Communications, vol. 82. Springer, New York (2019). https://doi.org/10.1063/1.5019118
Hajdu, F.: Modelling of nonlinear active and passive suspension systems (in Hungarian). In: Volume of New National Excellence Program 2018/2019, Széchenyi István University, pp. 197–208 (2019)
Hajdu, F., Molnárka, Gy., Kuti, R.: One-at-a-time sensitivity study of a nonlinear fire truck suspension model. FME Trans. 48(1), 90–95 (2020)
Zhu, Q., Ishitobi, M.: Chaotic vibration of a nonlinear full-vehicle model. Int. J. Solids Struct. 43(3–4), 747–759 (2006)
Hajdu, F., Kuti, R.: Development of a simulation model for analyzing vibrations of a double cabin fire truck and their effects on firefighters. Int. Adv. Res. J. Sci. Eng. Technol. 6(5), 74–79 (2019)
Maple Signal Processing. https://www.maplesoft.com/products/maple/features/Signal_Processing.aspx. Accessed 15 Oct 2020
International Standard 2631 (ISO 1974, 1985): Mechanical vibration and shock - Evaluation of human exposure to whole-body vibration
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Hajdu, F., Molnárka, G., Kuti, R. (2021). Modelling and Sensitivity Analysis of Nonlinear Firefighting Systems Using Maple. In: Corless, R.M., Gerhard, J., Kotsireas, I.S. (eds) Maple in Mathematics Education and Research. MC 2020. Communications in Computer and Information Science, vol 1414. Springer, Cham. https://doi.org/10.1007/978-3-030-81698-8_16
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