BB3.2-Simulation

Belén Hernández Gascón

  • Description

Simulation by means of Computational Fluid Dynamics (CFD) considering mainly fluid field.

Provider A: Analysis of performance components and processes under different assumptions:

-Stationary or transient scenarios

-Fluid-Structure interaction

-Heat transfer

-Turbulence models

Specifically, the service results from provider A are:

Performance of components and processes under different stationary or transient fluid and/or thermal loads.

Provider B: Analysis of performance of materials, components and processes under different assumptions:

-Stationary or transient loads

-Temperature effects

-Thermal transference phenomena

Specifically, the service results from provider B are:

Performance of materials and components under different stationary or transient fluid and/or thermal loads.

Analysis of processes where fluid field is relevant.

  • Standardisation

While no specific certification is followed, the service employs procedures that align with internationally recognized standards.

  • Innovation features

The service integrates cutting-edge CFD techniques with ROM modeling, multiscale analysis, machine learning, and experimental process measurements. These innovations enable precise, computationally efficient simulations, delivering robust solutions for complex fluid-thermal interactions in engineering designs.

Pricing

Provider A:

It depends on the complexity and type of analysis required.

Provider B:

Expected cost:

Cost is estimated on a pm (135-155h/pm) basis, considering an average of the concurrent costs from manpower, specific commercial software licensing (if it is the case) and computing hardware use.

Average cost rage: 4000-6000€/pm + Indirect Costs

Pricing:

Proposal of pricing based on a "(Cost estimation) *BCR=Price" criterion. BCR parameter may be variable case by case and established based on a complexity/manpower expertise/singular hardware and software use basis. BCR = [1,1-1,75]

Service delivery timeframe

10-30 working days (80h-240h). Depending on the complexity timeframe can be expanded.

  • Relevant Industry

RTD focused on materials development civil engineering
Civil engineering companies.

Providers

EURECAT, ITA

Supporting Services

ROM modeling
Multiscale analysis
Machine Learning

  • Value proposition

The service leverages advanced Computational Fluid Dynamics (CFD) simulations to analyze the performance of materials, components, and processes under various fluid and thermal conditions. By integrating ROM modeling, multiscale analysis, machine learning, and process characterization, it delivers cost-efficient, accurate solutions that optimize design, functionality, and performance in civil engineering applications.

  • Environmental and social impact

The service contributes to EU sustainability goals by optimizing fluid and thermal performance in materials, processes and components, reducing waste, and improving energy efficiency. Its advanced simulation capabilities enable the development of more sustainable and durable solutions, supporting climate-adaptive infrastructure development.

  • Geographical and/or infraestructure restrictions

Workstations and CPU-/GPU.based servers.

HPC cloud computing

Commercial CFD software licensing

  • Service Support

Kick of meeting (definition and sharing of input data for model development)
Intermediate results meeting
Final result meeting
Reporting:
•Report describing model development assumptions, loadcases, standards followed, results (tabular, curves for variables representation, plots for CFD variables distributions).
•MODA template (Provider B).