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The problems of inelastic instability (buckling) and dynamic instability (resonance) have been the subject of extensive investigation and have received wide attention from the structural mechanics community. This paper aims to tackle these problems in thin-walled structures, taking into account geometrical and/or material non-linearity.

The inelastic buckling mode interactions and resonance instabilities of prismatic thin-walled columns are analysed by implementing the semi-analytical finite strip method (FSM). A scalar damage parameter is implemented in conjunction with a material modelling named rheological-dynamical analogy to address stiffness reduction induced by the fatigue damage.

Inelastic buckling stresses lag behind the elastic buckling stresses across all modes, which is a consequence of the viscoelastic behaviour of materials. Because of the lag, the same column length does not always correspond to the same mode at the elastic and inelastic critical stress.

This paper presents the influence of mode interactions on the effective stresses and resonance instabilities in thin-walled columns due to the fatigue damage. These mode interactions have a great influence on damage variables because of the fatigue and effective stresses around mode transitions. In its usual semi-analytical form, the FSM cannot be used to solve the mode interaction problem explained in this paper, because this technique ignores the important influence of interaction of the buckling modes when applied only for undamaged state of structure

This paper gives a bibliographical review of the finite element and boundary element parallel processing techniques from the theoretical and application points of view. Topics include: theory – domain decomposition/partitioning, load balancing, parallel solvers/algorithms, parallel mesh generation, adaptive methods, and visualization/graphics; applications – structural mechanics problems, dynamic problems, material/geometrical non‐linear problems, contact problems, fracture mechanics, field problems, coupled problems, sensitivity and optimization, and other problems; hardware and software environments – hardware environments, programming techniques, and software development and presentations. The bibliography at the end of this paper contains 850 references to papers, conference proceedings and theses/dissertations dealing with presented subjects that were published between 1996 and 2002.

Presents a review on implementing finite element methods on supercomputers, workstations and PCs and gives main trends in hardware and software developments. An appendix included at the end of the paper presents a bibliography on the subjects retrospectively to 1985 and approximately 1,100 references are listed.

This paper aims to present the result of a scientometric analysis conducted using studies on high-performance computing in computational modelling. This was done with a view to showcasing the need for high-performance computers (HPC) within the architecture, engineering and construction (AEC) industry in developing countries, particularly in Africa, where the use of HPC in developing computational models (CMs) for effective problem solving is still low.

An interpretivism philosophical stance was adopted for the study which informed a scientometric review of existing studies gathered from the Scopus database. Keywords such as high-performance computing, and computational modelling were used to extract papers from the database. Visualisation of Similarities viewer (VOSviewer) was used to prepare co-occurrence maps based on the bibliographic data gathered.

Findings revealed the scarcity of research emanating from Africa in this area of study. Furthermore, past studies had placed focus on high-performance computing in the development of computational modelling and theory, parallel computing and improved visualisation, large-scale application software, computer simulations and computational mathematical modelling. Future studies can also explore areas such as cloud computing, optimisation, high-level programming language, natural science computing, computer graphics equipment and Graphics Processing Units as they relate to the AEC industry.

The study assessed a single database for the search of related studies.

The findings of this study serve as an excellent theoretical background for AEC researchers seeking to explore the use of HPC for CMs development in the quest for solving complex problems in the industry.

This paper aims to study hybrid knowledge visualization in police crime fighting and military operations. Making effective and timely use of all available, relevant knowledge is a major requirement for today’s police officers who strive to fight organized crime or resolve complex criminal acts under time pressure. As they share this knowledge integration challenge with many management contexts, the authors have examined the knowledge visualization practices of a leading regional police force (and of a military unit) to derive insights for corporate knowledge management.

To examine the knowledge visualization practices of a leading regional police force, the authors have conducted on-site observations, focus groups and interviews, as well as site, document, tool and software analyses within the police headquarters.

As one main result of their empirical investigation, the authors find that the police force’s practice of hybrid (i.e. digital and physical) knowledge visualization offers a useful strategy for corporate knowledge management as well. They also show how organizations can apply this dual approach to making knowledge visible, i.e. using sophisticated visualization software in combination with hands-on physical and permanently visible knowledge boards.

They discuss how these two modalities can be combined to improve knowledge management and how this hybrid practice can be understood theoretically through the lens of boundary object theory. With this regard, this article also extends the boundary object theory by identifying nine dynamic qualities of collaborative visualizations.

The purpose of this paper is to provide a feature‐based characterization of version control systems (VCSs), providing an overview about the state‐of‐the‐art of versioning systems dedicated to modeling artifacts.

Based on a literature study of existing approaches, a description of the features of versioning systems is established. Special focus is set on three‐way merging which is an integral component of optimistic versioning. This characterization is employed on current model versioning systems, which allows the derivation of challenges in this research area.

The results of the evaluation show that several challenges need to be addressed in future developments of VCSs and merging tools in order to allow the parallel development of model artifacts.

Making model‐driven engineering (MDE) a success requires supporting the parallel development of model artifacts as is done nowadays for text‐based artifacts. Therefore, model versioning capabilities are a must for leveraging MDE in practice.

The paper gives a comprehensive overview of collaboration features of VCSs for software engineering artifacts in general, discusses the state‐of‐the‐art of systems for model artifacts, and finally, lists urgent challenges, which have to be considered in future model versioning system for realizing MDE in practice.

A general philosophy is presented in which all the modules within the computational cycle are parallelised and executed on parallel computer hardware, thereby avoiding the creation of computational bottlenecks. In particular, unstructured mesh generation with adaptation, computational fluid dynamics and computational electromagnetic solvers and the visualisation of grid and solution data are all performed in parallel. In addition, all these modules are embedded within a parallel problem solving environment. This paper will provide an overview of these developments. In particular, details of the parallel mesh generator, which has been used to generate meshes in excess of 100 million elements, will be given. A brief overview will be presented of the approach used to parallelise the solvers and how large data sets are interrogated and visualised on distributed computer platforms. Details of the parallel adaptation algorithm will be presented. These parallel component modules are linked using CORBA communication to provide an integrated parallel approach for large scale simulations. Several examples are given of the approach applied to the simulation of large aerospace calculations in the field of aerodynamics and electromagnetics.

The purpose of this paper is to present the development of a software for stereo visualization of geometric solids, applied to the teaching/learning of Descriptive Geometry.

The paper presents the traditional method commonly used in computer graphic stereoscopic vision (implemented in C language) and the proposed method (implemented in GeoGebra software). The proposed method is a new methodology for stereo spatial visualization. It uses the orthogonal axonometric perspective obtained from the mongean projections of the object, both concepts studied in Descriptive Geometry course.

The use of stereoscopic techniques has great potential for the improvement of spatial visualization ability, because they allow the understanding of spatial situations presented in complex exercises. The students who tested the proposed method said that it offered a superior stereo vision depth in relation to the traditional matrix method.

For future work, the paper suggests to carry out a statistical study to evaluate the educational benefit of the tool, and to investigate the proposed method using the conical axonometric perspective.

Create a virtual environment to support the process of teaching/learning Descriptive Geometry and contribute to the development of students ' spatial visualization skills. The software will be available on the Internet, in the GeoGebra libraries. The objective is to increase e-learning, where a greater number of students will study.

The current goal in Brazil universities is to greatly increase the number of poor students entering as a social inclusion strategy. University courses need more efficient teaching techniques to attend the students, so the e-learning techniques are recommended.

This paper’s innovative characteristic comes from the implementation of stereoscopic vision from traditional methods used in Descriptive Geometry, so the proposed method improves both the visualization ability and the Descriptive Geometry basic concepts, which points out to its educational role.

InfoMall is a program led by the Northeast Parallel Architectures Center featuring a partnership of approximately twenty‐four organizations with a plan for accelerating development of the High‐Performance Computing and Communications (HPCC) software and systems industry. HPCC is a critical technology where the United States has clear international leadership and which will have unprecedented impact on industry, education, society, and defense. The communications component of HPCC is critical to developing HPCC products. Acceptance of HPCC by these real‐world sectors has been delayed by the extremely hard problem of HPCC software development. InfoMall employs a novel technology development strategy involving closely linked programs in technology extraction and certification, software development, marketing, education, and training, economic development, and small business support. The process is constructured and explained by analogy to a full‐service set of stores in a shopping mall.

Big Data introduces high amounts and new forms of structured, unstructured and semi-structured data into the field of accounting and this requires alternative data management and reporting methods. Generating insights from these new data sources highlight the need for different and interactive forms of visualization in the field of visual analytics. Nonetheless, a considerable gap between the recommendations in research and the current usage in practice is evident. In order to understand and overcome this gap, a detailed analysis of the status quo as well as the identification of potential barriers for adoption is vital. The paper aims to discuss this issue.

A survey with 145 business accountants from Austrian companies from a wide array of business sectors and all hierarchy levels has been conducted. The survey is targeted toward the purpose of this study: identifying barriers, clustered as human-related and technological-related, as well as investigating current practice with respect to interactive visualization use for Big Data.

The lack of knowledge and experience regarding new visualization types and interaction techniques and the sole focus on Microsoft Excel as a visualization tool can be identified as the main barriers, while the use of multiple data sources and the gradual implementation of further software tools determine the first drivers of adoption.

Due to the data collection with a standardized survey, there was no possibility of dealing with participants individually, which could lead to a misinterpretation of the given answers. Further, the sample population is Austrian, which might cause issues in terms of generalizing results to other geographical or cultural heritages.

The study shows that those knowledgeable and familiar with interactive Big Data visualizations indicate high perceived ease of use. It is, therefore, necessary to offer sufficient training as well as user-centered visualizations and technological support to further increase usage within the accounting profession.

A lot of research has been dedicated to the introduction of novel forms of interactive visualizations. However, little focus has been laid on the impact of these new tools for Big Data from a practitioner’s perspective and their needs.