Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 1.93M | Year: 2017
This research brings together the complementary expertise of our consortium members to gain a better understanding of the physics in hydraulic fracturing (HF) with the final goal to optimize HF practices and to assess the environmental risks related to HF. This requires the development and implementation of reliable models for HF, scaled laboratory tests and available on-site data to validate these models. The key expertise in our consortium is on modelling and simulation of HF and all partners involved pursue different computational approaches. However, we have also some partners in our consortium which focus on scaled laboratory tests and one company which can provide on-site data. The choice of the best model for HF still remains an open question and this research promises to quantify uncertainties in each model and finally provide a guideline how to choose the best model with respect to a specific output parameter. The final objective is to employ these models in order to answer some pressing questions related to environmental risks of HF practices, including 1. How does HF interact with the natural fractures that intersect the shale seam? 2. How does the fracture network from a previous stage of HF treatment affect the fracture network evolution in succeeding, adjacent stages? 3. What are the requirements to constrain fractures from propagating to the adjacent layers of confining rock? The exchange and training objectives are to: 4. Enhance the intersectoral and interdisciplinary training of ERs and ESRs in Computational Science, Mining Geotechnics, Geomechanics, Modeling and Simulation 5. Strengthen, quantitatively and qualitatively, the human potential in research and technology in Europe 6. Advance the scientific contribution of women researchers in this area dominated by male 7. Create synergies with other EU projects 8. Enable and support all ESRs/ERs to keep contact with international community in the sense of training and transfer of knowledge
Agency: European Commission | Branch: FP7 | Program: MC-IAPP | Phase: FP7-PEOPLE-2013-IAPP | Award Amount: 1.94M | Year: 2013
The control (and avoidance) of vehicle noise and vibration (NV) provides a crucial competitive advantage for car manufacturers due to the drive for lower noise pollution levels and enhanced driving comfort. NV issues can seriously detract from the reputation of a vehicle with a knock-on detrimental effect for the entire brand. As the automotive industry moves towards virtual prototyping, the simulation and modelling of vehicle NV is becoming increasingly important. Providing accurate numerical predictions in this area is an extremely challenging task. A detailed analysis of the structural vibrations on very fine scales is required, and small parameter changes can lead to large shifts in the frequency response function for a given vehicle. The wide range of materials and intricate couplings between different components provide enormous challenges for the NV simulation of a full vehicle, especially in the range of frequencies above 500Hz. Robust and efficient NV modelling techniques are, however, urgently needed by vehicle manufacturers for cutting costs by removing the need to develop expensive physical prototypes. The range of existing techniques addressing NV issues as part of the Computer Aided Engineering (CAE) toolkit is not adequate. The methods are not robust for frequencies over 500Hz and do not naturally fit into the simulation environment of CAE, where structural data are provided via mesh specifications. Only recently have these problems been overcome through new solution techniques developed and tested by the academic members of this project. Together with two specialized SMEs and the car manufacturer Jaguar Land Rover, this interdisciplinary and inter-sectoral consortium will develop the first black-box and mesh based tool for the vibro-acoustic analysis of a full vehicle body. This will catapult noise and vibration analysis from the research and development stage to a fast and reliable everyday tool for the engineering practitioner.
Agency: European Commission | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-2011-ITN | Award Amount: 3.84M | Year: 2012
The objective of this ITN is to develop the next generation methods integrating numerical simulation and geometric design technology. Currently, geometric design and simulation is based on different geometry representation hampering the effective design of Engineering structures, materials and components. Isogeometric analysis developed recently tries to remove those drawbacks by integrating CAD shape functions, in particular NURBS, in numerical analysis. On the other hand, not all design models are based on CAD designs. In many applications, the geometric description is obtained from other data, e.g. CT-scans or surface models or point clouds generated by laser scanners, e.g. from clays models for automotive design. A classical application is reverse engineering, material characterization or computer supported materials design. The automatic image segmentation of CT-scans and the subsequent creation of the design model is far from simple. Voxel-based finite element analysis is commonly used in such applications The analysis of an engineering object based on the simulation of some physical system usually requires the generation of a computational basis for a partial differential equation. Typically this discretization is based on a geometric mesh model or a set of nodes which determines local basis elements. The properties of these basis elements in relation to the partial differential equation are crucial to obtain good analysis results. Depending on the system simulated, different types of basis elements are required. In this ITN, we aim to provide a general framework of unifying pre-processing/design in general with numerical analysis. The framework will be applied to the most common and popular methods employed in pre-processing.design and analysis, i.e. spline-based basis functions (NURBS, T-splines, etc.), voxel-based finite elements, polynomial (standard) and spline-based finite elements and extended finite element and meshfree methods.
Chappell D.J.,Nottingham Trent University |
Lochel D.,InuTech GmbH |
Sondergaard N.,InuTech GmbH |
Tanner G.,University of Nottingham
Wave Motion | Year: 2014
We present a new approach for modelling noise and vibration in complex mechanical structures in the mid-to-high frequency regime. It is based on a dynamical energy analysis (DEA) formulation which extends standard techniques such as statistical energy analysis (SEA) towards non-diffusive wave fields. DEA takes into account the full directionality of the wave field and makes sub-structuring obsolete. It can thus be implemented on mesh grids commonly used, for example, in the finite element method (FEM). The resulting mesh based formulation of DEA can be implemented very efficiently using discrete flow mapping (DFM) as detailed in Chappell etal. (2013) and described here for applications in vibro-acoustics. A mid-to-high frequency vibro-acoustic response can be obtained over the whole modelled structure. Abrupt changes of material parameter at interfaces are described in terms of reflection/transmission matrices obtained by solving the wave equation locally. Two benchmark model systems are considered: a double-hull structure used in the ship-building industry and a cast aluminium shock tower from a Range Rover. We demonstrate that DEA with DFM implementation can handle multi-mode wave propagation effectively, taking into account mode conversion between shear, pressure and bending waves at interfaces, and on curved surfaces. © 2014 Elsevier B.V.
Mahmoudi A.H.,University of Luxembourg |
Hoffmann F.,InuTech GmbH |
Peters B.,University of Luxembourg
Applied Thermal Engineering | Year: 2016
The main aim of this study was to present a new approach for modeling multi-phase systems of granular media in which solid phases are fully resolved while the surrounding gas phase is semi-resolved. The presented method is based on a volume averaging model implemented in the XDEM framework in which the fluid phase is a continuous phase and individual particles are tracked with a Lagrangian approach. In the semi-resolved model, the gas phase is described on a length scale smaller than the particles size. This method facilitates mesh generation for complex geometries. Moreover, it is computationally less expensive than a fully resolved model since it allows for coarser grids to solve gas flow through the void space between particles. In this work, the proposed model is used to predict heat-up of steel particles and pyrolysis of wet wood particles in a packed bed. Numerical results have been compared with experimental data and good agreements were achieved. Detailed results in both gas and solid phases are presented, which highlight the process heterogeneities of non-uniformly packed beds. © 2015 Elsevier Ltd. All rights reserved.
Chappell D.J.,Nottingham Trent University |
Tanner G.,University of Nottingham |
Lochel D.,InuTech GmbH |
Sondergaard N.,InuTech GmbH
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences | Year: 2013
Energy distributions of high-frequency linear wave fields are often modelled in terms of flow or transport equations with ray dynamics given by a Hamiltonian vector field in phase space. Applications arise in underwater and room acoustics, vibroacoustics, seismology, electromagnetics and quantummechanics. Related flow problems based on general conservation laws are used, for example, in weather forecasting or in molecular dynamics simulations. Solutions to these flow equations are often large-scale, complex and high-dimensional, leading to formidable challenges for numerical approximation methods. This paper presents an efficient and widely applicable method, called discrete flow mapping, for solving such problems on triangulated surfaces. An application in structural dynamics, determining the vibroacoustic response of a cast aluminium car body component, is presented. © 2013 The Author(s) Published by the Royal Society.
Sondergaard N.,inuTech GmbH |
Chappell D.J.,Nottingham Trent University
Journal of Sound and Vibration | Year: 2016
We propose wave and ray approaches for modelling mid- and high-frequency structural vibrations through smoothed joints on thin shell cylindrical ridges. The models both emerge from a simplified classical shell theory setting. The ray model is analysed via an appropriate phase-plane analysis, from which the fixed points can be interpreted in terms of the reflection and transmission properties. The corresponding full wave scattering model is studied using the finite difference method to investigate the scattering properties of an incident plane wave. Through both models we uncover the scattering properties of smoothed joints in the interesting mid-frequency region close to the ring frequency, where there is a qualitative change in the dynamics from anisotropic to simple geodesic propagation. © 2016 Elsevier Ltd.
Michael M.,University of Luxembourg |
Vogel F.,InuTech GmbH |
Peters B.,University of Luxembourg
Computer Methods in Applied Mechanics and Engineering | Year: 2015
This study proposes an efficient combination of the Discrete Element Method (DEM) and the Finite Element Method (FEM) to study the tractive performance of a rubber tire in interaction with granular terrain. The presented approach is relevant to all engineering devices interacting with granular matter which causes response forces. Herein, the discrete element method (DEM) is used to describe the dynamics of the granular assembly. On the one hand, the discrete approach accounts for the motion and forces of each grain individually. On the other hand, the finite element method accurately predicts the deformations and stresses acting within the tire tread. Hence, the simulation domain occupied by the tire tread is efficiently described as a continuous entity. The coupling of both methods is based on the interface shared by the two spatially separated domains. Contact forces develop at the interface and propagate into each domain. The coupling method enables to capture both responses simultaneously and allows to sufficiently resolve the different length scales. Each grain in contact with the surface of the tire tread generates a contact force which it reacts on repulsively. The contact forces sum up over the tread surface and cause the tire tread to deform. The coupling method compensates quite naturally the shortages of both numerical methods. It further employs a fast contact detection algorithm to save valuable computation time. The proposed DEM-FEM coupling technique was employed to study the tractive performance of a rubber tire with lug tread patterns in a soil bed. The contact forces at the tread surface are captured by 3D simulations for a tire slip of sT=5%. The simulations showed to accurately recapture the gross tractive effort TH, running resistance TR and drawbar pull TP of the tire tread in comparison to related measurements. Further, the traction mechanisms between the tire tread and the granular ground are studied by analyzing the motion of the soil grains and the deformation of the tread. © 2015 Elsevier B.V.
Agency: European Commission | Branch: FP7 | Program: MC-IAPP | Phase: FP7-PEOPLE-2012-IAPP | Award Amount: 891.44K | Year: 2013
A vast number of engineering applications as diverse as in pharmaceutical, food and processing industry, mining, construction and agricultural machinery, metals manufacturing, energy production and systems biology include a particulate and continuous phase. Although simulation software for either discrete or continuous applications matured during the last decades, to date a large gap for integrated software to describe the interaction between a particulate and continuous phase exists. Therefore, the objective is to develop Advanced Multi-physics Simulation Technology (AMST) as a flexible, extensible and versatile interface for coupling discrete numerical approaches to field problems applicable under industrial standards. The discrete simulation framework is represented by the novel Discrete Particle Method (DPM) that contrary to the classical Discrete Element Method predicts in addition to the kinematic also the thermodynamic state of individual particles in an ensemble. Rather than extending the Discrete Particle Method by continuous solution concepts of field problems such as structural analysis or fluid dynamics, the objective is met by controlling data transfer such as fluid forces, heat and mass transfer between the Discrete Particle Method and available software products for field problems. These targets are successfully achieved by an interdisciplinary approach fostering the transfer of knowledge within an intersectorial partnership of the University of Luxembourg and the German SME inuTech with their complementary expertise. Strategic partners from the academic and industrial sector will contribute by giving expert advice and by providing industrial relevant test cases. Advanced Multi-physics Simulation Technology closes a large technological gap for research and industry, and contributes significantly to multi-physics research in Europe with a high impact on innovative engineering, sustainable intersectorial collaboration and European competitiveness.
Agency: European Commission | Branch: FP7 | Program: MC-IAPP | Phase: FP7-PEOPLE-IAPP-2008 | Award Amount: 794.40K | Year: 2009
The project partners will develop a versatile and efficient software tool based on a recently introduced method - Dynamical Energy Analysis (DEA). This will yield significantly improved algorithms and software solutions to describe wave energy distributions in complex structures in a mechanical engineering context for small to medium wave lengths. The wave problems considered range from acoustics to vibrational dynamics and elastic deformations. Midfrequency problems are one of the few areas of great importance where standart methods in computer aided engineering (CAE) modelling fail and no efficient and reliable methods exist. The new approach based on wave chaos ideas has the potential to fill this gap and will serve an enormous demand in the mechanical engineering industry. Applying the to be developed method in CAE studies will lead to huge cost and development time savings and will lead to better products in terms of noise characteristics and vibration controll. DEA will be further developed, efficiently implemented numerically, integrated into an advanced software package and applied to challenging vibro-acoustical situations in an industrial context. The focus will be on mechanical and acoustic wave problems ranging from acoustic radiation in small scale plant machinery to vibration dynamics and vehicle noise in large built-up structures such as cars and airplanes. Joint efforts by the two full partners, the University of Nottingham and the SME inuTech (specialised CAE) will lift this new, revolutionary method from its academic roots into the sphere of industrial applications transforming it into a powerful tool for solving engineering problems in the mid to high frequency regime. Associate partners from the academic and industrial sector will support the efforts by giving expert advice and by providing experimental data and facilities for testing purposes.