APPLIED MATHEMATICAL MODELLING

Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.

应用数学建模侧重于与工程和环境过程、制造和工业系统的数学建模相关的研究。研究活动的一个重要新兴领域涉及多物理过程，特别鼓励这方面的贡献。这一有影响的出版物涵盖了广泛的主题，包括传热、流体力学、化学和化学制品以及运输现象；金属的固体力学和力学；电磁铁和mhd；可靠性建模和系统优化；有限体积、有限元素和边界元素程序；建立库存、工业、制造和物流系统模型，以便作出可行的决策；土木工程系统和结构；矿产和能源；与cad和cae相关的软件工程问题；材料和冶金工程。应用数学建模主要关注通过新颖的数学建模、新颖的应用或这些方法的结合来提高对现实问题的洞察力的论文。采用现有数值技术的论文在解决实际问题时必须具有足够的新颖性。通常不考虑决策中的模糊逻辑或纯金融数学的论文。对分数阶微分方程、分岔和数值方法的研究需要包括实例。人口动态必须解决现实的情况。在物流和商业建模领域的论文应该证明有意义的管理洞察力。不考虑没有实际应用的提交。