The SHM system is completed with an optimized sensors setup to monitor the most relevant deformation modes. Additionally, it enables precise fine-tuning of the DT model using machine learning, resulting in an accurate Hybrid Analysis Model.
Our modular and flexible DT-based SHM solution can be customized for any offshore wind platform concept, covering substructure, towers, mooring, and umbilicals. The solution is demonstrated through sea trials on Enerocean’s W2Power prototype.
]]>The computational tool developed in this work is based on the coupling of a Semi-Lagrangian Particle Finite Element Method (SL-PFEM) with a multi rigid-body dynamics tool. The Particle Finite Element Method (Idelsohn et al. 2004) is a versatile framework for the analysis of fluid-structure interaction problems. The PFEM combines Lagrangian particle-based techniques with the advantage of the integral formulation of the Finite Element Method (FEM). It has been shown (Idelsohn et al. 2014 and Nadukandi et al. 2017) to successfully simulate a wide variety of complex engineering problems, e.g. free-surface/multi-fluid flows with violent interface motions, multi-fluid mixing and buoyancy-driven segregation problems etc.
The latest development within the framework of the PFEM is the X-IVAS (eXplicit Integration along the Velocity and Acceleration Streamlines) scheme. It is a semi-implicit scheme built over a Semi-Lagrangian (SL) formulation of the PFEM.
In this work, the SL-PFEM model has been coupled with a multibody dynamics solver, able to handle the interactions between thousands of bodies, representing the different ice blocks. The interaction between the fluid flow and the ice blocks is taking into account by enriching the finite element space at the boundaries of the different blocks.
This work is part of the research project NICESHIP sponsored by the U.S. Office of Naval Research under Grant N62909-16-1-2236.
]]>The computational tool developed in this work is based on the coupling of a Semi-Lagrangian Particle Finite Element Method (SL-PFEM) with a multi rigid-body dynamics tool. The Particle Finite Element Method (Idelsohn et al. 2004) is a versatile framework for the analysis of fluid-structure interaction problems. The PFEM combines Lagrangian particle-based techniques with the advantage of the integral formulation of the Finite Element Method (FEM). It has been shown (Idelsohn et al. 2014 and Nadukandi et al. 2017) to successfully simulate a wide variety of complex engineering problems, e.g. free-surface/multi-fluid flows with violent interface motions, multi-fluid mixing and buoyancy-driven segregation problems etc.
The latest development within the framework of the PFEM is the X-IVAS (eXplicit Integration along the Velocity and Acceleration Streamlines) scheme. It is a semi-implicit scheme built over a Semi-Lagrangian (SL) formulation of the PFEM.
In this work, the SL-PFEM model has been coupled with a multibody dynamics solver, able to handle the interactions between thousands of bodies, representing the different ice blocks. The interaction between the fluid flow and the ice blocks is taking into account by enriching the finite element space at the boundaries of the different blocks.
This work is part of the research project NICESHIP sponsored by the U.S. Office of Naval Research under Grant N62909-16-1-2236.
]]>The starting point is the modified governing differential equations for the incompressible turbulent viscous flow and the free surface condition incorporating the necessary stabilization terms via a finite calculus (FIC) procedure developed by the authors . This technique is based on writting the different balance equations over a domain of finite size and retaining higher order terms. These terms incorporate the ingredients for the necessary stabilization of any transient and steady state numerical solution already at the differential equations level.
The resulting stabilized equations are integrated in space using the standard finite element method, and in time using an implicit and uncoupled second order fractional step method.
]]>Scipedia.com was born to offer a complete solution for open science, and essentially integrates three solutions:
This presentation introduces the solutions offered by Scipedia for the needs of open science projects, and the advantages of the platform for researchers, institutions and scientific journals.
]]>This presentation shows the recent work of the CIMNE in the maritime transport field. It was given at the Conference on Computation and Big Data in Transport (CM3-2017) held in November 22 – 23, 2017.
The objective of the WAM-V is to be a lightweight watercraft capable of moving fast and efficiently on the surface of the sea. WAM-Vs are designed to allow for a variety of applications for either manned or unmanned operations and can be built in different lengths to match specific services.
This presentation shows part of the work done in the project ‘Advanced Numerical Simulation and Performance Evaluation of WAM-V ® in Spray Generating Conditions’ developed by the International Center for Numerical Methods in Engineering (CIMNE) under Navy Grant N62909-12-1-7101 issued by the Office of Naval Research Global. The scope of that project included the performance analysis of the WAM-V in waves, taking into account the flexibility of the ship hulls, using fluid-structure interaction computational models. However, the focus of this paper is one of the primary concerns of that project; the development of a computational model for simulation of the WAM-V under spray generating conditions. In this regards, the final goal was to develop and demonstrate a computational engineering solver that could be used to design strategies to reduce the spray generation of the vessel.
]]>The developed fluid-structure interaction solver is based, on one side, on an implicit iteration algorithm, communicating pressure forces and displacements of the seals at memory level and, on the other side, on an innovative wetting and drying scheme able to predict the water action on the seals. The stability of the iterative scheme is improved by means of relaxation, and the convergence is accelerated using Aitken’s method.
Several validations against experimental results have been carried out to demonstrate the developed algorithm.
]]>Up to date the numerical seakeeping simulation has been mostly carried out using the frequency domain. The reason might be that the computational cost of time domain simulations were too high and computational time was too large. Moreover assumptions like linear waves and the harmonic nature of water waves made the frequency domain to be the right choice. However nowadays computing capabilities make possible to carry out numerical simulations in the time domain in a reasonable time, with the advantage of making easier the introduction of non-linearities into the algorithm and therefore coupling with other phenomena.
This presentation shows the work of the authors in developing a time-domain unstructured Finite Element Method (FEM) algorithm for analysis of coupled wave-structure interaction. For this purpose, a new diffraction-radiation solver using the FEM was developed. The solver has been implemented in GPU, using CUDA architecture. The speed-up obtained ranges from 5 to 10 times compare to the implementation in a standard CPU with a conjugate gradient and ILU preconditioner.
The seakeeping analysis tool has been integrated within a coupled waves-structure analysis tool. The coupling algorithm is based on a partitioned iterative algorithm, using an interpolation library able to communicate pressure forces and displacements of the structure at memory level. Furthermore, an innovative wetting and drying scheme able to improve the evaluation of the water action on the structure.
The accuracy of the new seakeeping formulation for analysis of waves and floating structures interaction has been verified in different validation cases and practical applications.
]]>But, despite the obvious advantages of Open Access publishing, it will not be an easy task to make search results universally accessible without restriction. This objective faces the inertia of custom practices and a market dominated by a few large publishers.
The idea of ??developing a platform to answer many of the questions raised about the future of scientific publication is the outcome of many reflections and discussions on the presented scenario.
Scipedia (see http://www.scipedia.com) is essentially a web platform that integrates a digital scientific publishing platform with the concept of social network. Scipedia aims to improve communication between researchers and professionals in science and technology, facilitating the exchange of knowledge and dissemination of their work.
The ambition of this project is to be able to offer free publication services in Open Access to the entire scientific community. To this end, Scipedia integrates tools that allow the publication of journals and the management of their publication cycle, including support for blind and collaborative peer review.
But probably one of the most innovative aspects of this initiative is that it uses wikitext, a standard format for web pages, as a native format of publications. This definitely allows going beyond the paper support and its digital versions (such as the PDF format); the scientific communication can take full advantage of the publication on the Internet. This way, scientific journals and books, conference proceedings and any other document published in Scipedia can integrate text, multimedia information, data files, models, etc. in a natural way.
In addition, Scipedia has an advanced online editor that allows for collaborative work and facilitates self-publishing. The capacity of self-publishing is not a trivial matter, since it virtually reduces production and publication costs to zero, and is basic to fulfilling the project's main ambition: to offer free publishing services for the author and open access without restrictions.
The online editing tool is completed with utilities for importing files in LaTeX and Word formats, and exporting to PDF and ePub.
Another relevant aspect of the initiative is that various strategies have been designed that allow articles to reach the maximum impact. For this, it is not enough to comply with certain standards and procedures that facilitate their indexation in the main search engines and aggregators. Here, the integration of the platform into a social network can play a fundamental role.
Scipedia social network offers the standard tools of this type of platforms, creation of a user profile, creation of a network of contacts, presentation of the register of personal activities and of the contacts, creation and management of groups, etc. The basic information of the profile can be imported and synchronized with the data available in Google Scholar, which provides a first reference of the impact of the scientific activity of the user. This information is enriched with that generated by the personal activity in the network, which is dynamized using gamification techniques. This way, the actions of the user are rewarded and allow to evaluate the activity that generates in the network. In addition, records of visits and ratings of readers of an article are kept, which together with more traditional techniques such as citation counting, allows you to evaluate the impact of any document. In addition, each published document has a discussion page attached, and a history of all its revisions is maintained, even beyond the date of its publication.
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