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Engineering Computations

Engineering Computations


International journal for computer-aided engineering and software

ISSN: 0264-4401
Ranked by Thomson Reuters (ISI)
Full text online
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This journal is pre-published through Emerald EarlyCite. Issues are made available before the official publication date - look for the EarlyCite symbolIcon: EarlyCite.on the journal's table of contents page. If no EarlyCite issues are available, this indicates recent official publication.


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Unique Attributes

The journal presents its readers with broad coverage across all branches of engineering and science of the latest development and application of new solution algorithms, innovative numerical methods and/or solution techniques directed at the utilization of computational methods in engineering analysis, engineering design and practice.

Topicality

The continued aim of Engineering Computations is to address the diverse disciplines involved in a numerical methods-based decision-support process, to publish advances made in computational algorithms and element methodology and to encourage innovation, particularly directed at engineering applications.

Key Benefits

Developments in computer-aided engineering are continuing to advance at a rapid pace and it is vital that the dissemination of information relating to these developments reflects the same urgency. The journal fulfils that role, providing a prominent medium for cross-fertilization of ideas and knowledge for incorporation into research and development programmes.

Key Journal Audiences

Engineering Computations is of key interest to research engineers in universities, technical universities, research agencies, councils, laboratories, companies, educational and industrial institutes, across all branches of engineering and science.

Coverage

Engineering Computations: International Journal for Computer-Aided Engineering and Software is Indexed and Abstracted in:

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Sample Articles

  • Evaluation of liquefaction potential of soil deposits using artificial neural networks
    Adel M. Hanna, Derin Ural and Gokhan Saygili
    Volume: 24 Issue: 1; 2007
    View Abstract | HTML | PDF

  • FM - a pragmatic tool to model, analyse and predict complex behaviour of industrial systems
    Rajiv Kumar Sharma, Dinesh Kumar and Pradeep Kumar
    Volume: 24 Issue: 4; 2007
    View Abstract | HTML | PDF


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