Journal of Mathematics in Industry最新文献_第3页

Determining cost-efficient controls of electrical energy storages using dynamic programming 利用动态编程确定具有成本效益的电能储存控制方法

IF 2.6

Journal of Mathematics in Industry Pub Date : 2024-02-12 DOI: 10.1186/s13362-024-00140-1

Michael Stiglmayr, Svenja Uhlemeyer, Björn Uhlemeyer, Markus Zdrallek

引用次数: 0

Respiratory particles: from analytical estimates to disease transmission 呼吸道微粒：从分析估计到疾病传播

IF 2.6

Journal of Mathematics in Industry Pub Date : 2024-01-12 DOI: 10.1186/s13362-023-00139-0

J. A. Ferreira, P. Oliveira, P. Silva

引用次数: 0

High fidelity adaptive mirror simulations with reduced order models. 利用减阶模型进行高保真自适应反射镜模拟。

IF 1.2

Journal of Mathematics in Industry Pub Date : 2024-01-01 Epub Date: 2024-09-06 DOI: 10.1186/s13362-024-00158-5

Bernadett Stadler, Roberto Biasi, Mauro Manetti, Andreas Obereder, Ronny Ramlau, Matteo Tintori

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引用次数: 0

Crack modeling via minimum-weight surfaces in 3d Voronoi diagrams 在三维Voronoi图中通过最小重量曲面进行裂纹建模

IF 2.6

Journal of Mathematics in Industry Pub Date : 2023-11-27 DOI: 10.1186/s13362-023-00138-1

Christian Jung, Claudia Redenbach

{"title":"Crack modeling via minimum-weight surfaces in 3d Voronoi diagrams","authors":"Christian Jung, Claudia Redenbach","doi":"10.1186/s13362-023-00138-1","DOIUrl":"https://doi.org/10.1186/s13362-023-00138-1","url":null,"abstract":"As the number one building material, concrete is of fundamental importance in civil engineering. Understanding its failure mechanisms is essential for designing sustainable buildings and infrastructure. Micro-computed tomography (μCT) is a well-established tool for virtually assessing crack initiation and propagation in concrete. The reconstructed 3d images can be examined via techniques from the fields of classical image processing and machine learning. Ground truths are a prerequisite for an objective evaluation of crack segmentation methods. Furthermore, they are necessary for training machine learning models. However, manual annotation of large 3d concrete images is not feasible. To tackle the problem of data scarcity, the image pairs of cracked concrete and corresponding ground truth can be synthesized. In this work we propose a novel approach to stochastically model crack structures via Voronoi diagrams. The method is based on minimum-weight surfaces, an extension of shortest paths to 3d. Within a dedicated image processing pipeline, the surfaces are then discretized and embedded into real μCT images of concrete. The method is flexible and fast, such that a variety of different crack structures can be generated in a short amount of time.","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138526244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Increasing design flexibility by manually adapting the solution space for crashworthiness 通过手动调整解决方案空间以提高设计灵活性

Journal of Mathematics in Industry Pub Date : 2023-10-12 DOI: 10.1186/s13362-023-00137-2

Paolo Ascia, Volker A. Lange, Fabian Duddeck

{"title":"Increasing design flexibility by manually adapting the solution space for crashworthiness","authors":"Paolo Ascia, Volker A. Lange, Fabian Duddeck","doi":"10.1186/s13362-023-00137-2","DOIUrl":"https://doi.org/10.1186/s13362-023-00137-2","url":null,"abstract":"Abstract The solution space methodology, as presented in 2013, was meant to guide developers at the very beginning of the development process of a new mechanically crashworthy car. Several attempts were already made to use this methodology at later development stages. However, they all encountered problems related to its very strict and demanding corridors, thus constricting the design parameters. To allow more flexibility, two different approaches were proposed to relax the initial strict conditions. The first introduced temporal dependencies to widen the corridors. The second locally changed the corridors to adapt to the needs of the development, introducing dependencies between components. We, on the contrary, propose a new method to increase flexibility without introducing any kind of dependencies. We manage this by computing the intervals of solution space under user-defined conditions, hence selecting a custom set of independent corridors that fits the data gathered during development; i.e.: force-deformation curves that can be measured during a drop-tower test simulation. This new methodology of the adaptive solution space allows designers to edit the corridors, in order to have more flexibility for fulfilling high-level requirements when independently designing new components.","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135967746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The modelling of urban running races 城市跑步比赛的建模

IF 2.6

Journal of Mathematics in Industry Pub Date : 2023-08-02 DOI: 10.1186/s13362-023-00136-3

R. Enguiça, Nuno D. Lopes

引用次数: 0

Dual stochastic descriptions of streamflow dynamics under model ambiguity through a Markovian embedding 基于马尔可夫嵌入的模型模糊下的双随机描述

IF 2.6

Journal of Mathematics in Industry Pub Date : 2023-07-25 DOI: 10.1186/s13362-023-00135-4

H. Yoshioka, Y. Yoshioka

引用次数: 2

Parallel-in-time optimization of induction motors 感应电动机的并行实时优化

IF 2.6

Journal of Mathematics in Industry Pub Date : 2023-06-22 DOI: 10.1186/s13362-023-00134-5

Jens Hahne, Björn Polenz, Iryna Kulchytska-Ruchka, S. Friedhoff, S. Ulbrich, S. Schöps

引用次数: 0

Unsupervised deep learning techniques for automatic detection of plant diseases: reducing the need of manual labelling of plant images 用于植物病害自动检测的无监督深度学习技术：减少对植物图像手动标记的需要

IF 2.6

Journal of Mathematics in Industry Pub Date : 2023-05-30 DOI: 10.1186/s13362-023-00133-6

A. Benfenati, P. Causin, R. Oberti, G. Stefanello

引用次数: 2

A mathematical characterization of anatomically consistent blood capillary networks 解剖学一致性毛细血管网络的数学表征

IF 2.6

Journal of Mathematics in Industry Pub Date : 2023-03-02 DOI: 10.1186/s13362-022-00129-8

M. Bertolini, P. Causin, C. Turrini

引用次数: 0