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Modelling and Simulation of Engineering Design, A Second-Order Differential Equations in Mechanical and Electrical Systems

Received: 4 April 2026     Accepted: 20 April 2026     Published: 22 September 2026
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Abstract

This paper presents a rigorous and systematic investigation into the fundamental role of second-order ordinary differential equations (ODEs) in the modelling, analysis, and design of engineering systems. The study is anchored on two canonical and cross-disciplinary case studies: the quarter-car suspension system and the series RLC circuit. For each system, the governing differential equations are derived from first principles using Newtonian and Kirchhoffian formulations, respectively, followed by complete analytical solutions obtained via the characteristic (auxiliary) equation framework.The classical dynamic response includes underdamped, critically damped, and overdamped are comprehensively analyzed, with explicit linkage to practical engineering design criteria. In particular, damping ratio targets are contextualized within industry standards, where passenger vehicle suspensions typically operate within ζ ≈ 0.3–0.4 to ensure ride comfort, while high-performance systems adopt ζ ≈ 0.65–0.70 to achieve improved transient response characteristics. The forced harmonic response is further examined, with emphasis on resonance behavior, amplitude amplification, and stability considerations, highlighting its critical implications for structural integrity and failure prevention, as exemplified by the Tacoma Narrows Bridge collapse. A unified cross-domain analytical framework is established, demonstrating that mechanically and electrically distinct systems are governed by mathematically analogous second-order ODEs. This analogy enables the transfer of insights and design strategies across engineering domains. Furthermore, numerical solutions obtained using the Euler method and the fourth-order Runge–Kutta (RK4) algorithm are systematically benchmarked against exact analytical solutions. Convergence and error analyses confirm the superior accuracy of RK4 with global truncation error of order O(h⁴), compared to the first-order accuracy O(h) of the Euler method. The paper concludes by highlighting key design implications and emphasizing the transformative role of simulation-driven engineering in accelerating system development, optimizing performance, and reducing reliance on costly experimental prototyping.

Published in International Journal of Intelligent Information Systems (Volume 15, Issue 3)
DOI 10.11648/j.ijiis.20261503.11
Page(s) 53-63
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Second-order ODE, Mass-spring-damper, RLC Circuit, Damping Ratio, Natural Frequency, Resonance, Numerical Simulation, Runge-Kutta, Engineering Design

References
[1] Ascher, U. M. and Petzold, L. R. (1998). Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA.
[2] Sinha, R., Liang, V.-C., Paredis, C. J. J. and Khosla, P. K. (2001). Modelling and Simulation Methods for Design of Engineering Systems. Proceedings of the ASME Design Engineering Technical Conference, Carnegie Mellon University, Pittsburgh, PA.
[3] Hallauer, W. L. Jr. (2022). Introduction to Linear Time-Invariant Dynamic Systems for Students of Engineering. Virginia Tech Libraries Open Education Initiative / Engineering LibreTexts, Section 1.9: The Mass-Damper-Spring System.
[4] Fishwick, P. A. (1998). A Taxonomy for Simulation Modeling Based on Programming Language Principles. IIE Transactions, 30, pp. 811–820.
[5] Edwards, P. (2001). Mass-Spring-Damper Systems: The Theory. Bournemouth University. Available via University of Washington Faculty Server: faculty.washington.edu (accessed April 2026).
[6] Terefe, T. O. and Lemu, H. G. (2018). Solution Approaches to Differential Equations of Mechanical System Dynamics: A Case Study of Car Suspension System. ResearchGate.
[7] Trench, W. F. (2013). Elementary Differential Equations. Trinity University Digital Commons. Section 6.2: Spring-Mass Problems with Damping. Mathematics LibreTexts.
[8] FIRGELLI Automations (2026). Damping Ratio Interactive Calculator — Engineering Reference. Available at: firgelliauto.com/blogs/engineering-calculators (accessed April 2026).
[9] OptimumG (2020). Spring and Damper Selection. Tech Tip series. OptimumG, Denver, CO. Available at: optimumg.com (accessed April 2026).
[10] Samant Saurabh, Y. et al. (2016). Design of Suspension System for Formula Student Race Car. Procedia Engineering, 144, pp. 1138–1149. Elsevier.
[11] Ansys Inc. (2025). What are RLC Circuits? Ansys Simulation Topics. Available at: ansys.com/simulation-topics/what-are-rlc-circuits (accessed April 2026).
[12] McAllister, W. (2025). RLC Natural Response — Derivation and Variations. Spinning Numbers. Available at: spinningnumbers.org (accessed April 2026).
[13] OpenStax / Math LibreTexts (2025). Applications of Second-Order Differential Equations. Calculus, Volume 3, Section 17.3. Available at: math.libretexts.org (accessed April 2026).
[14] enDAQ (2022). Tacoma Narrows Bridge Failure. Vibration Analysis Reference. Available at: endaq.com/pages/tacoma-narrows-bridge-failure (accessed April 2026).
[15] Billah, K. Y. and Scanlan, R. H. (1991). Resonance, Tacoma Narrows Bridge Failure, and Undergraduate Physics Textbooks. American Journal of Physics, 59(2), pp. 118–124.
[16] Gazzola, F. (2013). Old and New Explanations of the Tacoma Narrows Bridge Collapse. AIMETA Proceedings. Politecnico di Milano. Available at: gazzola.faculty.polimi.it (accessed April 2026).
[17] Pietryga, F. W. (2005). Solving Differential Equations Using MATLAB/Simulink. Proceedings of the American Society for Engineering Education Annual Conference, Paper AC 2005-571.
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  • APA Style

    Ihenacho, G. C., Samuel, D. R., Okechukwu, O. C., Ajayi, S. A., Emeng, E. E., et al. (2026). Modelling and Simulation of Engineering Design, A Second-Order Differential Equations in Mechanical and Electrical Systems. International Journal of Intelligent Information Systems, 15(3), 53-63. https://doi.org/10.11648/j.ijiis.20261503.11

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    ACS Style

    Ihenacho, G. C.; Samuel, D. R.; Okechukwu, O. C.; Ajayi, S. A.; Emeng, E. E., et al. Modelling and Simulation of Engineering Design, A Second-Order Differential Equations in Mechanical and Electrical Systems. Int. J. Intell. Inf. Syst. 2026, 15(3), 53-63. doi: 10.11648/j.ijiis.20261503.11

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    AMA Style

    Ihenacho GC, Samuel DR, Okechukwu OC, Ajayi SA, Emeng EE, et al. Modelling and Simulation of Engineering Design, A Second-Order Differential Equations in Mechanical and Electrical Systems. Int J Intell Inf Syst. 2026;15(3):53-63. doi: 10.11648/j.ijiis.20261503.11

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  • @article{10.11648/j.ijiis.20261503.11,
      author = {George Chikwendu Ihenacho and Diarah Reuben Samuel and Osueke Christian Okechukwu and Samuel Adebanji Ajayi and Evoh Edwin Emeng and Oluwasade Kehinde and Olaomi Bimpe Agnes},
      title = {Modelling and Simulation of Engineering Design, 
    A Second-Order Differential Equations in Mechanical and Electrical Systems},
      journal = {International Journal of Intelligent Information Systems},
      volume = {15},
      number = {3},
      pages = {53-63},
      doi = {10.11648/j.ijiis.20261503.11},
      url = {https://doi.org/10.11648/j.ijiis.20261503.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20261503.11},
      abstract = {This paper presents a rigorous and systematic investigation into the fundamental role of second-order ordinary differential equations (ODEs) in the modelling, analysis, and design of engineering systems. The study is anchored on two canonical and cross-disciplinary case studies: the quarter-car suspension system and the series RLC circuit. For each system, the governing differential equations are derived from first principles using Newtonian and Kirchhoffian formulations, respectively, followed by complete analytical solutions obtained via the characteristic (auxiliary) equation framework.The classical dynamic response includes underdamped, critically damped, and overdamped are comprehensively analyzed, with explicit linkage to practical engineering design criteria. In particular, damping ratio targets are contextualized within industry standards, where passenger vehicle suspensions typically operate within ζ ≈ 0.3–0.4 to ensure ride comfort, while high-performance systems adopt ζ ≈ 0.65–0.70 to achieve improved transient response characteristics. The forced harmonic response is further examined, with emphasis on resonance behavior, amplitude amplification, and stability considerations, highlighting its critical implications for structural integrity and failure prevention, as exemplified by the Tacoma Narrows Bridge collapse. A unified cross-domain analytical framework is established, demonstrating that mechanically and electrically distinct systems are governed by mathematically analogous second-order ODEs. This analogy enables the transfer of insights and design strategies across engineering domains. Furthermore, numerical solutions obtained using the Euler method and the fourth-order Runge–Kutta (RK4) algorithm are systematically benchmarked against exact analytical solutions. Convergence and error analyses confirm the superior accuracy of RK4 with global truncation error of order O(h⁴), compared to the first-order accuracy O(h) of the Euler method. The paper concludes by highlighting key design implications and emphasizing the transformative role of simulation-driven engineering in accelerating system development, optimizing performance, and reducing reliance on costly experimental prototyping.},
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - Modelling and Simulation of Engineering Design, 
    A Second-Order Differential Equations in Mechanical and Electrical Systems
    AU  - George Chikwendu Ihenacho
    AU  - Diarah Reuben Samuel
    AU  - Osueke Christian Okechukwu
    AU  - Samuel Adebanji Ajayi
    AU  - Evoh Edwin Emeng
    AU  - Oluwasade Kehinde
    AU  - Olaomi Bimpe Agnes
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    DO  - 10.11648/j.ijiis.20261503.11
    T2  - International Journal of Intelligent Information Systems
    JF  - International Journal of Intelligent Information Systems
    JO  - International Journal of Intelligent Information Systems
    SP  - 53
    EP  - 63
    PB  - Science Publishing Group
    SN  - 2328-7683
    UR  - https://doi.org/10.11648/j.ijiis.20261503.11
    AB  - This paper presents a rigorous and systematic investigation into the fundamental role of second-order ordinary differential equations (ODEs) in the modelling, analysis, and design of engineering systems. The study is anchored on two canonical and cross-disciplinary case studies: the quarter-car suspension system and the series RLC circuit. For each system, the governing differential equations are derived from first principles using Newtonian and Kirchhoffian formulations, respectively, followed by complete analytical solutions obtained via the characteristic (auxiliary) equation framework.The classical dynamic response includes underdamped, critically damped, and overdamped are comprehensively analyzed, with explicit linkage to practical engineering design criteria. In particular, damping ratio targets are contextualized within industry standards, where passenger vehicle suspensions typically operate within ζ ≈ 0.3–0.4 to ensure ride comfort, while high-performance systems adopt ζ ≈ 0.65–0.70 to achieve improved transient response characteristics. The forced harmonic response is further examined, with emphasis on resonance behavior, amplitude amplification, and stability considerations, highlighting its critical implications for structural integrity and failure prevention, as exemplified by the Tacoma Narrows Bridge collapse. A unified cross-domain analytical framework is established, demonstrating that mechanically and electrically distinct systems are governed by mathematically analogous second-order ODEs. This analogy enables the transfer of insights and design strategies across engineering domains. Furthermore, numerical solutions obtained using the Euler method and the fourth-order Runge–Kutta (RK4) algorithm are systematically benchmarked against exact analytical solutions. Convergence and error analyses confirm the superior accuracy of RK4 with global truncation error of order O(h⁴), compared to the first-order accuracy O(h) of the Euler method. The paper concludes by highlighting key design implications and emphasizing the transformative role of simulation-driven engineering in accelerating system development, optimizing performance, and reducing reliance on costly experimental prototyping.
    VL  - 15
    IS  - 3
    ER  - 

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