ZAMM-Zeitschrift fur Angewandte Mathematik und Mechanik应用数学与力学杂志

ZAMM-Zeitschrift fur Angewandte Mathematik und Mechanik(英文缩写 ZAMM-Z ANGEW MATH ME),ISSN 0044-2267,eISSN 1521-4001,中文译名:应用数学与力学杂志 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
3.700
JCR 分区
Q1
CAS 分区
B4
近一年发文量
0
本站 PubMed 收录统计

发文量统计区间:2025-11-01 至 2026-10-31,按本站收录文献的发表日期统计。

ISSN: 0044-2267 · eISSN: 1521-4001 · 缩写: ZAMM-Z ANGEW MATH ME ·中文: 应用数学与力学杂志

期刊介绍

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期刊简介

ZAMM-Zeitschrift für Angewandte Mathematik und Mechanik 是一本历史悠久的应用数学与力学综合期刊,主要发表数学方法在力学、工程和物理问题中的应用研究。内容涵盖连续介质力学、流体与固体力学、数值分析、优化及动力系统等方向。读者群包括应用数学、计算力学和工程科学领域的研究人员与研究生,强调数学建模与工程应用之间的桥梁作用。

研究方向

期刊关注应用数学与力学交叉领域,主题包括连续介质力学、流体力学、固体力学、数值方法与科学计算、变分原理、优化控制、动力系统及多物理场耦合问题。论文类型以原创研究论文为主,兼有综述和简短通讯,强调数学模型的严谨性与工程背景的结合。

期刊特色

研究取向偏重数学建模与理论分析,同时重视数值验证和实际应用。论文通常要求清晰的数学表述、严格的推导和可复现的计算结果。适合应用数学、计算力学、工程科学领域的研究者,尤其是从事力学建模、数值方法开发和跨学科应用的研究生与学者。

投稿难度

投稿难度中等偏上,期刊对数学严谨性和力学背景均有要求,单纯数值模拟或纯理论文章需有明确创新点。建议在投稿前完善理论推导与数值验证的衔接,突出方法在力学或工程问题中的适用性,并参考近期同类论文的写作规范。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
20211.759Q2
20222.300Q1
20232.300Q1
20243.200Q1
20253.700Q1

ZAMM-Zeitschrift fur Angewandte Mathematik und Mechanik 最新收录文献

  1. JCR分区: Q1 CAS分区: B4 影响因子: 3.7

    1. {"_":"On build-up of epidemiologic models-Development of a SEIRSD model for the spread of SARS-CoV-2.","sup":["3"]}

    作者:
    Michael Wolff
    日期:
    2020-10-13

    The present study investigates essential steps in build-up of models for description of the spread of infectious diseases. Combining these modules, a SEIRSD model will be developed, which can take into account a possible passive immunisation by vaccination as well as different durations of latent and incubation periods. Besides, infectious persons with and without symptoms can be distinguished. Due to the current world-wide SARS-CoV-2 pandemic (COVID-19 pandemic) models for description of the spread of infectious diseases and their application for forecasts have become into the focus of the scientific community as well as of broad public more than usual. Currently, many papers and studies have appeared and appear dealing with the virus SARS-CoV-2 and the COVID-19 disease caused by it. This occurs under medical, virological, economic, sociological and further aspects as well as under mathematical points of view. Concerning the last-mentioned point, the main focus lies on the application of existing models and their adaptation to data about the course of infection available at the current time. Clearly, the aim is to predict the possible further development, for instance in Germany. It is of particular interest to investigate how will be the influence of political and administrative measures like contact restrictions, closing or rather re-opening of schools, restaurants, hotels etc. on the course of infection. The steps considered here for building up suitable models are well-known for long time. However, understandably they will not be dealt with in an extended way in current application-oriented works. Therefore, it is the aim of this study to present some existing steps of modelling without any pretension of completeness. Thus, on the one hand we give assistance and, on the other hand, we develop a model capable to take already known properties of COVID-19 as well as a later possible passive immunisation by vaccination and a possible loss of immunity of recovered persons into account.

  2. JCR分区: Q1 CAS分区: B4 影响因子: 3.7

    2. A Mechanobiologically Equilibrated Constrained Mixture Model for Growth and Remodeling of Soft Tissues.

    2. 一种用于软组织生长与重塑的力学生物学平衡约束混合物模型
    作者:
    Marcos Latorre, Jay D Humphrey
    日期:
    2018-03-23

    Growth and remodeling of soft tissues is a dynamic process and several theoretical frameworks have been developed to analyze the time-dependent, mechanobiological and/or biomechanical responses of these tissues to changes in external loads. Importantly, general processes can often be conveniently separated into truly non-steady contributions and steady-state ones. Depending on characteristic times over which the external loads are applied, time-dependent models can sometimes be specialized to respective time-independent formulations that simplify the mathematical treatment without compromising the goodness of the particularized solutions. Very few studies have analyzed the long-term, steady-state responses of soft tissue growth and remodeling following a direct approach. Here, we derive a mechanobiologically equilibrated formulation that arises from a general constrained mixture model. We see that integral-type evolution equations that characterize these general models can be written in terms of an equivalent set of time-independent, nonlinear algebraic equations that can be solved efficiently to yield long-term outcomes of growth and remodeling processes in response to sustained external stimuli. We discuss the mathematical conditions, in terms of orders of magnitude, that yield the particularized equations and illustrate results numerically for general arterial mechano-adaptations.

  3. JCR分区: Q1 CAS分区: B4 影响因子: 3.7

    3. Micro-poromechanics model of fluid-saturated chemically active fibrous media.

    3. 流体饱和化学活性纤维介质的微观孔隙力学模型
    作者:
    Anil Misra, Ranganathan Parthasarathy, Viraj Singh, Paulette Spencer
    日期:
    2015-02

    We have developed a micromechanics based model for chemically active saturated fibrous media that incorporates fiber network microstructure, chemical potential driven fluid flow, and micro-poromechanics. The stress-strain relationship of the dry fibrous media is first obtained by considering the fiber behavior. The constitutive relationships applicable to saturated media are then derived in the poromechanics framework using Hill's volume averaging. The advantage of this approach is that the resultant continuum model accounts for the discrete nature of the individual fibers while retaining a form suitable for porous materials. As a result, the model is able to predict the influence of micro-scale phenomena, such as the fiber pre-strain caused by osmotic effects and evolution of fiber network structure with loading, on the overall behavior and in particular, on the poromechanics parameters. Additionally, the model can describe fluid-flow related rate-dependent behavior under confined and unconfined conditions and varying chemical environments. The significance of the approach is demonstrated by simulating unconfined drained monotonic uniaxial compression under different surrounding fluid bath molarity, and fluid-flow related creep and relaxation at different loading-levels and different surrounding fluid bath molarity. The model predictions conform to the experimental observations for saturated soft fibrous materials. The method can potentially be extended to other porous materials such as bone, clays, foams and concrete.

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