Applications of Differential Equations for Mathematical Modelling in Engineering

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C1: Difference and Differential Equations".

Deadline for manuscript submissions: closed (20 December 2025) | Viewed by 1856

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Special Issue Information

Dear Colleagues,

Differential equations play a fundamental role in mathematical modelling across various engineering disciplines, providing essential tools for analysing dynamic systems, optimizing processes, and predicting real-world behaviour. 

This Special Issue aims to bring together innovative research contributions that showcase the application of ordinary, coupled, partial, and fractional differential equations in engineering.

We invite original research articles, comprehensive reviews, and case studies that demonstrate how differential equations are employed to solve complex engineering problems. 
Topics of interest include, but are not limited to, the following:

  • Ordinary Differential Equations (ODEs) in control systems, fluid mechanics, and signal processing.
  • Partial Differential Equations (PDEs) for modelling heat transfer, wave propagation, and material deformation.
  • Coupled differential equations in multi-physics and multi-scale engineering systems.
  • Fractional Differential Equations (FDEs) in viscoelastic materials, anomalous diffusion, and nonlocal mechanics.
  • Computational and numerical approaches for solving differential equation models in engineering applications.
  • Optimization and stability analysis of engineering systems using differential equations.

This Special Issue will serve as a platform for researchers to explore the latest advancements in differential equation-based mathematical modelling, bridging the gap between theoretical development and engineering applications. 

We welcome contributions from diverse engineering fields, including mechanical, civil, electrical, chemical, and biomedical engineering, for example.

By highlighting novel methodologies and real-world applications, this Special Issue aims to foster interdisciplinary collaboration and provide new insights into the role of differential equations in engineering innovation.

Prof. Dr. Jonathan Blackledge
Guest Editor

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Keywords

  • ordinary, coupled, partial, and fractional differential equations
  • mathematical modelling
  • engineering applications

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Published Papers (1 paper)

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Research

17 pages, 5332 KB  
Article
A Multiple-Scale Space–Time Collocation Trefftz Method for Two-Dimensional Wave Equations
by Li-Dan Hong, Chen-Yu Zhang, Weichung Yeih, Cheng-Yu Ku, Xi He and Chang-Kai Lu
Mathematics 2025, 13(17), 2831; https://doi.org/10.3390/math13172831 - 2 Sep 2025
Viewed by 637
Abstract
This paper presents a semi-analytical, mesh-free space–time Collocation Trefftz Method (SCTM) for solving two-dimensional (2D) wave equations. Given prescribed initial and boundary data, collocation points are placed on the space–time (ST) boundary, reformulating the initial value problem as an equivalent boundary value problem [...] Read more.
This paper presents a semi-analytical, mesh-free space–time Collocation Trefftz Method (SCTM) for solving two-dimensional (2D) wave equations. Given prescribed initial and boundary data, collocation points are placed on the space–time (ST) boundary, reformulating the initial value problem as an equivalent boundary value problem and enabling accurate reconstruction of wave propagation in complex domains. The main contributions of this work are twofold: (i) a unified ST Trefftz basis that treats time as an analytic variable and enforces the wave equation in the full ST domain, thereby eliminating time marching and its associated truncation-error accumulation; and (ii) a Multiple-Scale Characteristic-Length (MSCL) grading strategy that systematically regularizes the collocation linear system. Several numerical examples, including benchmark tests, validate the method’s feasibility, effectiveness, and accuracy. For both forward and inverse problems, the solutions produced by the method closely match exact results, confirming its accuracy. Overall, the results reveal the method’s feasibility, accuracy, and stability across both forward and inverse problems and for varied geometries. Full article
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