DeeMa-Hub: Cloud-enabled semantic platform for data-driven multiscale co-design and co-simulation of composite materials and structures

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F25%3A00381512" target="_blank" >RIV/68407700:21110/25:00381512 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.compstruct.2025.118980" target="_blank" >https://doi.org/10.1016/j.compstruct.2025.118980</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.compstruct.2025.118980" target="_blank" >10.1016/j.compstruct.2025.118980</a>

Jazyk výsledku

angličtina

Název v původním jazyce

DeeMa-Hub: Cloud-enabled semantic platform for data-driven multiscale co-design and co-simulation of composite materials and structures

Popis výsledku v původním jazyce

This paper presents DeeMa-Hub, a cloud-based microservices ecosystem designed to support collaborative research and decision making in composite materials design and manufacturing. DeeMa-Hub integrates data management, modeling, co-simulation, and decision making functionalities into a cohesive collaborative platform. The architecture is organized into three main layers: the Data Layer, the Modeling and Simulation Layer, and the Collaborative Interface Layer, enabling efficient data handling, complex computational workflows, and team-driven processes. The platform’s cloud infrastructure, leveraging Microsoft Azure services, provides scalability, accessibility, and robust data security, accommodating the demands of high-performance composite materials simulations and data analysis. Central to the platform’s operation is the Modeling and Simulation Layer, managed by MuPIF (Multi-Physics Interoperability Framework), which supports interoperable, multi-scale and multi-physical simulation workflows. This layer uses standardised APIs to handle diverse simulation models and data structures, ensuring integration with various simulation platforms and enabling workflow automation. The Collaborative Layer utilizes Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN) frameworks to facilitate process management and decision logic, allowing users to collaboratively design and control workflows and decisions in real time. DeeMa-Hub’s cloud-deployed structure supports dynamic scaling, automated resource allocation, and high availability through Azure’s autoscaling and load balancing. The platform is equipped with Azure DevOps for continuous integration and deployment, enabling rapid updates. Through its structured, scalable design, DeeMa-Hub provides a secure, flexible environment for composite materials research, promoting collaborative, data-driven innovation.

Název v anglickém jazyce

DeeMa-Hub: Cloud-enabled semantic platform for data-driven multiscale co-design and co-simulation of composite materials and structures

Popis výsledku anglicky

This paper presents DeeMa-Hub, a cloud-based microservices ecosystem designed to support collaborative research and decision making in composite materials design and manufacturing. DeeMa-Hub integrates data management, modeling, co-simulation, and decision making functionalities into a cohesive collaborative platform. The architecture is organized into three main layers: the Data Layer, the Modeling and Simulation Layer, and the Collaborative Interface Layer, enabling efficient data handling, complex computational workflows, and team-driven processes. The platform’s cloud infrastructure, leveraging Microsoft Azure services, provides scalability, accessibility, and robust data security, accommodating the demands of high-performance composite materials simulations and data analysis. Central to the platform’s operation is the Modeling and Simulation Layer, managed by MuPIF (Multi-Physics Interoperability Framework), which supports interoperable, multi-scale and multi-physical simulation workflows. This layer uses standardised APIs to handle diverse simulation models and data structures, ensuring integration with various simulation platforms and enabling workflow automation. The Collaborative Layer utilizes Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN) frameworks to facilitate process management and decision logic, allowing users to collaboratively design and control workflows and decisions in real time. DeeMa-Hub’s cloud-deployed structure supports dynamic scaling, automated resource allocation, and high availability through Azure’s autoscaling and load balancing. The platform is equipped with Azure DevOps for continuous integration and deployment, enabling rapid updates. Through its structured, scalable design, DeeMa-Hub provides a secure, flexible environment for composite materials research, promoting collaborative, data-driven innovation.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Composite Structures

ISSN

0263-8223

e-ISSN

1879-1085

Svazek periodika

360

Číslo periodika v rámci svazku

04

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

18

Strana od-do

1-18

Kód UT WoS článku

001444944000001

EID výsledku v databázi Scopus

2-s2.0-86000489768