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CasCADe: A Novel 4D visualization System for Virtual Construction Planning

IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2018年第1期24卷 687-697页

作者： Ivson, Paulo Nascimento, Daniel Celes, Waldemar Barbosa, Simone D. J. Pontificia Univ Catolica Rio de Janeiro Tecgraf Inst Rio de Janeiro Brazil Pontificia Univ Catolica Rio de Janeiro Informat Dept Rio de Janeiro Brazil

Building Information Modeling (BIM) provides an integrated 3D environment to manage large-scale engineering projects. The Architecture, engineering and Construction (AEC) industry explores 4D visualizations over these datasets for virtual construction planning. However, existing solutions lack adequate visual mechanisms to inspect the underlying schedule and make inconsistencies readily apparent. The goal of this paper is to apply best practices of information visualization to improve 4D analysis of construction plans. We first present a review of previous work that identifies common use cases and limitations. We then consulted with AEC professionals to specify the main design requirements for such applications. These guided the development of CasCADe, a novel 4D visualization system where task sequencing and spatio-temporal simultaneity are immediately apparent. This unique framework enables the combination of diverse analytical features to create an information-rich analysis environment. We also describe how engineering collaborators used CasCADe to review the real-world construction plans of an Oil & Gas process plant. The system made evident schedule uncertainties, identified work-space conflicts and helped analyze other constructability issues. The results and contributions of this paper suggest new avenues for future research in information visualization for the AEC industry.

关键词： visualization in physical sciences and engineering design studies integrating spatial and non-spatial data visualization task and requirements analysis

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Interactive Visual Analysis of Multiple Simulation Runs Using the Simulation Model View: Understanding and Tuning of an Electronic Unit Injector

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2010年第6期16卷 1449-1457页

作者： Matkovic, Kresimir Gracanin, Denis Jelovic, Mario Ammer, Andreas Lez, Alan Hauser, Helwig VRVis Res Ctr Vienna Austria Virginia Tech Blacksburg VA USA AVL AST Doo Zagreb Croatia Univ Bergen N-5020 Bergen Norway

Multiple simulation runs using the same simulation model with different values of control parameters usually generate large data sets that capture the variational aspects of the behavior of the modeled and simulated phenomenon. We have identified a conceptual and visual gap between the simulation model behavior and the data set that makes data analysis more difficult than necessary. We propose a simulation model view that helps to bridge that gap by visually combining the simulation model description and the generated data. The simulation model view provides a visual outline of the simulation process and the corresponding simulation model. The view is integrated in a Coordinated Multiple Views (CMV) system. We use three levels of details to efficiently use the display area provided by the simulation model view. We collaborated with a domain expert and used the simulation model view on a problem in the automotive application domain, i.e., meeting the emission requirements for Diesel engines. One of the key components is a fuel injector unit so our goal was to understand and tune an electronic unit injector (EUI). We were mainly interested in understanding the model and how to tune it for three different operation modes: low emission, low consumption, and high power. Very positive feedback from the domain expert shows that the use of the simulation model view and the corresponding analysis procedures within a CMV system amount to an effective technique for interactive visual analysis of multiple simulation runs. We also developed new analysis procedures based on these results.

关键词： visualization in physical sciences and engineering time series data coordinated multiple views

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LiteVis: Integrated visualization for Simulation-Based Decision Support in Lighting Design

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2016年第1期22卷 290-299页

作者： Sorger, Johannes Ortner, Thomas Luksch, Christian Schwaerzler, Michael Groeller, Eduard Piringer, Harald VRVis Res Ctr Vienna Austria TU Wien Vienna Austria

State-of-the-art lighting design is based on physically accurate lighting simulations of scenes such as offices. The simulation results support lighting designers in the creation of lighting configurations, which must meet contradicting customer objectives regarding quality and price while conforming to industry standards. However, current tools for lighting design impede rapid feedback cycles. On the one side, they decouple analysis and simulation specification. On the other side, they lack capabilities for a detailed comparison of multiple configurations. The primary contribution of this paper is a design study of LiteVis, a system for efficient decision support in lighting design. LiteVis tightly integrates global illumination-based lighting simulation, a spatial representation of the scene, and non-spatial visualizations of parameters and result indicators. This enables an efficient iterative cycle of simulation parametrization and analysis. Specifically, a novel visualization supports decision making by ranking simulated lighting configurations with regard to a weight-based prioritization of objectives that considers both spatial and non-spatial characteristics. In the spatial domain, novel concepts support a detailed comparison of illumination scenarios. We demonstrate LiteVis using a real-world use case and report qualitative feedback of lighting designers. This feedback indicates that LiteVis successfully supports lighting designers to achieve key tasks more efficiently and with greater certainty.

关键词： Integrating Spatial and Non-Spatial Data visualization visualization in physical sciences and engineering Coordinated and Multiple Views Visual Knowledge Discovery

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visualization of Electrostatic Dipoles in Molecular Dynamics of Metal Oxides

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2012年第12期18卷 2061-2068页

作者： Grottel, Sebastian Beck, Philipp Mueller, Christoph Reina, Guido Roth, Johannes Trebin, Hans-Rainer Ertl, Thomas Tech Univ Dresden TU Dresden CGV Comp Graph & Visualizat Lab Dresden Germany Univ Stuttgart VISUS Visualizat Res Ctr Stuttgart Germany Univ Stuttgart ITAP Inst Theoret & Appl Phys Stuttgart Germany

Metal oxides are important for many technical applications. For example alumina (aluminum oxide) is the most commonly used ceramic in microelectronic devices thanks to its excellent properties. Experimental studies of these materials are increasingly supplemented with computer simulations. Molecular dynamics (MD) simulations can reproduce the material behavior very well and are now reaching time scales relevant for interesting processes like crack propagation. In this work we focus on the visualization of induced electric dipole moments on oxygen atoms in crack propagation simulations. The straightforward visualization using glyphs for the individual atoms, simple shapes like spheres or arrows, is insufficient for providing information about the data set as a whole. As our contribution we show for the first time that fractional anisotropy values computed from the local neighborhood of individual atoms of MD simulation data depict important information about relevant properties of the field of induced electric dipole moments. Iso surfaces in the field of fractional anisotropy as well as adjustments of the glyph representation allow the user to identify regions of correlated orientation. We present novel and relevant findings for the application domain resulting from these visualizations, like the influence of mechanical forces on the electrostatic properties.

关键词： visualization in physical sciences and engineering glyph-based techniques time-varying data point-based data

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Lagrangian Coherent Structures for Design Analysis of Revolving Doors

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2012年第12期18卷 2159-2168页

作者： Schindler, Benjamin Fuchs, Raphael Barp, Stefan Waser, Juergen Pobitzer, Armin Carnecky, Robert Matkovic, Kresimir Peikert, Ronald ETH Zurich Switzerland Air Flow Consulting AG Zurich Zurich Switzerland VRVis Vienna Vienna Austria Univ Bergen N-5020 Bergen Norway

Room air flow and air exchange are important aspects for the design of energy-efficient buildings. As a result, simulations are increasingly used prior to construction to achieve an energy-efficient design. We present a visual analysis of air flow generated at building entrances, which uses a combination of revolving doors and air curtains. The resulting flow pattern is challenging because of two interacting flow patterns: On the one hand, the revolving door acts as a pump, on the other hand, the air curtain creates a layer of uniformly moving warm air between the interior of the building and the revolving door. Lagrangian coherent structures (LCS), which by definition are flow barriers, are the method of choice for visualizing the separation and recirculation behavior of warm and cold air flow. The extraction of LCS is based on the finite-time Lyapunov exponent (FTLE) and makes use of a ridge definition which is consistent with the concept of weak LCS. Both FTLE computation and ridge extraction are done in a robust and efficient way by making use of the fast Fourier transform for computing scale-space derivatives.

关键词： visualization in physical sciences and engineering topology-based techniques vector field data

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Feature-Based Statistical Analysis of Combustion Simulation Data

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2011年第12期17卷 1822-1831页

作者： Bennett, Janine C. Krishnamoorthy, Vaidyanathan Liu, Shusen Grout, Ray W. Hawkes, Evatt R. Chen, Jacqueline H. Shepherd, Jason Pascucci, Valerio Bremer, Peer-Timo Sandia Natl Labs Livermore CA 94550 USA Univ Utah Sci Comp & Imaging Inst Salt Lake City UT 84112 USA Univ New S Wales Sydney NSW 2052 Australia Lawrence Livermore Natl Lab Livermore CA 94550 USA

We present a new framework for feature-based statistical analysis of large-scale scientific data and demonstrate its effectiveness by analyzing features from Direct Numerical Simulations (DNS) of turbulent combustion. Turbulent flows are ubiquitous and account for transport and mixing processes in combustion, astrophysics, fusion, and climate modeling among other disciplines. They are also characterized by coherent structure or organized motion, i.e. nonlocal entities whose geometrical features can directly impact molecular mixing and reactive processes. While traditional multi-point statistics provide correlative information, they lack nonlocal structural information, and hence, fail to provide mechanistic causality information between organized fluid motion and mixing and reactive processes. Hence, it is of great interest to capture and track flow features and their statistics together with their correlation with relevant scalar quantities, e.g. temperature or species concentrations. In our approach we encode the set of all possible flow features by pre-computing merge trees augmented with attributes, such as statistical moments of various scalar fields, e.g. temperature, as well as length-scales computed via spectral analysis. The computation is performed in an efficient streaming manner in a pre-processing step and results in a collection of meta-data that is orders of magnitude smaller than the original simulation data. This meta-data is sufficient to support a fully flexible and interactive analysis of the features, allowing for arbitrary thresholds, providing per-feature statistics, and creating various global diagnostics such as Cumulative Density Functions (CDFs), histograms, or time-series. We combine the analysis with a rendering of the features in a linked-view browser that enables scientists to interactively explore, visualize, and analyze the equivalent of one terabyte of simulation data. We highlight the utility of this new framework for combustion sc

关键词： Topology Statistics Data analysis Data exploration visualization in physical sciences and engineering Multi-variate Data

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Analysis of the Near-Wall Flow in a Turbine Cascade by Splat visualization

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2020年第1期26卷 719-728页

作者： Nsonga, Baldwin Scheuermann, Gerik Gumhold, Stefan Ventosa-Molina, Jordi Koschichow, Denis Froehlich, Jochen Univ Leipzig Leipzig Germany Tech Univ Dresden Inst Software & Multimedia Dresden Germany Tech Univ Dresden Inst Fluid Mech Dresden Germany

Turbines are essential components of jet planes and power plants. Therefore, their efficiency and service life are of central engineering interest. In the case of jet planes or thermal power plants, the heating of the turbines due to the hot gas flow is critical. Besides effective cooling, it is a major goal of engineers to minimize heat transfer between gas flow and turbine by design. Since it is known that splat events have a substantial impact on the heat transfer between flow and immersed surfaces, we adapt a splat detection and visualization method to a turbine cascade simulation in this case study. Because splat events are small phenomena, we use a direct numerical simulation resolving the turbulence in the flow as the base of our analysis. The outcome shows promising insights into splat formation and its relation to vortex structures. This may lead to better turbine design in the future.

关键词： Flow visualization visualization in physical sciences and engineering Feature Detection and Tracking Vector Field Data

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Visual analysis of droplet dynamics in large-scale multiphase spray simulations

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JOURNAL OF visualization 2021年第5期24卷 943-961页

作者： Heinemann, Moritz Frey, Steffen Tkachev, Gleb Straub, Alexander Sadlo, Filip Ertl, Thomas Univ Stuttgart VISUS Allmandring 19 D-70569 Stuttgart Germany Univ Groningen Bernoulli Inst Nijenborgh 9 Bernoulliborg NL-9747 AG Groningen Netherlands Heidelberg Univ IWR Neuenheimer Feld 205 D-69120 Heidelberg Germany

We present a data-driven visual analysis approach for the in-depth exploration of large numbers of droplets. Understanding droplet dynamics in sprays is of interest across many scientific fields for both simulation scientists and engineers. In this paper, we analyze large-scale direct numerical simulation datasets of the two-phase flow of non-Newtonian jets. Our interactive visual analysis approach comprises various dedicated exploration modalities that are supplemented by directly linking to ParaView. This hybrid setup supports a detailed investigation of droplets, both in the spatial domain and in terms of physical quantities . Considering a large variety of extracted physical quantities for each droplet enables investigating different aspects of interest in our data. To get an overview of different types of characteristic behaviors, we cluster massive numbers of droplets to analyze different types of occurring behaviors via domain-specific pre-aggregation, as well as different methods and parameters. Extraordinary temporal patterns are of high interest, especially to investigate edge cases and detect potential simulation issues. For this, we use a neural network-based approach to predict the development of these physical quantities and identify irregularly advected droplets. Graphic

关键词： Flow visualization Time-varying data visualization in physical sciences and engineering

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GlyphSea: Visualizing Vector Fields

GlyphSea: Visualizing Vector Fields

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IS and T/SPIE 21st Annual Conference on visualization and Analysis (VDA)

作者： McQuinn, Emmett Chourasia, Amit Schulze, Juergen P. Minster, Jean-Bernard Univ Calif San Diego La Jolla CA 92093 USA

ISBN: (纸本)9780819499349

Understanding vector fields is important in many science and engineering domains. Glyphs are often used to represent vector data as arrows, cones, ellipsoids, and other geometric shapes. When implemented using traditional 3D graphics, these glyphs have drawbacks of being view dependent, orientation ambiguous, and requiring specific geometric resolutions. We propose a straightforward new method of procedural dipole texturing of glyph shapes, which overcomes these drawbacks and can enhance existing methods. We demonstrate our method with an interactive application (GlyphSea), which incorporates additional features such as screen space ambient occlusion, glyph displacement, lattices, halos and other contextual visual cues. We also discuss the results and informal feedback from scientists on insights gained by exploring time varying vector datasets in astrophysics and seismology.

关键词： Glyph-based Techniques Vector Field Data Time-varying Data visualization in physical sciences and engineering

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NemoViz: a visual interactive system for atomistic simulations design

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visualization in engineering 2018年第1期6卷 6-6页

作者： Mejia, Daniel Kubis, Tillmann Klimeck, Gerhard School of Electrical and Computer Engineering 610 Purdue Mall West Lafayette United States

Introduction: Given that the nanoscale regime has been reached, atomistic simulations are being used as predictive tools on a nanoscopic scale in nanoelectronics, materials science, and computational fluid dynamics. These simulations are generally supported by complex and specific simulation engines that require a deep knowledge of the engine as well as the field. The inputs required by these engines are usually described in long-text files, and their composition is error prone. These files contain details about the corresponding materials, geometries, algorithms, initial values, etc. The introduction of visualizations to the simulation creation process could alleviate some common user issues with simulation creation, in particular regarding the input-text files. In other fields, visual analytics have been used to facilitate user interaction with complex data. This work features a case study on the creation of a nanoelectronic device simulation and provides evidence of how the use of visual analytics reduces the cognitive complexity of defining an atomistic simulation. Case description: NEMO5 is a tool designed to simulate the electronic properties of nanoelectronic devices on an atomistic level. In this work we introduce NemoViz, an interactive visualization tool that enables users to define the simulation inputs required by NEMO5. Regular NEMO5 users were exposed to NemoViz, and users’ effectiveness and efficiency was measured while debugging the input for a simulation. Discussion and Evaluation: The results of this work show that NemoViz reduced the time that users spent defining the inputs of a NEMO5 simulation. When using NemoViz, Expert NEMO5 users detected errors twice as fast as when NemoViz was not used, and non-expert NEMO5 users were able to detect errors as effectively and efficiently as expert users. Conclusions: These results suggest that the use of visual analytics as a simulation design process tool reduces the cognitive load of complex simulators su

关键词： Nanoelectronics Software visualization visualization in education visualization in physical sciences and engineering

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