Journal of Computing in Civil Engineering

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Journal of Computing in Civil Engineering

Editors: James H. Garrett, Jr., Ph.D., P.E., F.ASCE,
Carnegie Mellon University

Lucio Soibelman, Ph.D., M.ASCE,
University of Southern California, Los Angeles

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January 1987 – Present

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The Journal of Computing in Civil Engineering serves as a resource to researchers, practitioners, and students on advances and innovative ideas in computing as applicable to the engineering profession. Many such ideas emerge from recent developments in computer science, information science, computer engineering, knowledge engineering, and other technical fields. Some examples are innovations in artificial intelligence, parallel processing, distributed computing, graphics and imaging, and information technology.

The journal publishes research, implementation, and applications in cross-disciplinary areas including software, such as new programming languages, database-management systems, computer-aided design systems, and expert systems; hardware for robotics, bar coding, remote sensing, data mining, and knowledge acquisition; and strategic issues such as the management of computing resources, implementation strategies, and organizational impacts.

ISSN: 0887-3801 e-ISSN: 1943-5487
Frequency: Bimonthly

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The judgment of independent peer-reviewers and their willingness to share their time and expertise help ASCE to publish engineering journals of the highest caliber. The Journal of Computing in Civil Engineering acknowledges the contributions of individual reviewers.

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Research Highlights

An Automated Approach for Developing Integrated Model‐Based Project Histories to Support Estimation of Activity Production Rates

J. Comput. Civ. Eng.

Issue Date: June 2011

Currently, historical production information for an activity and the corresponding contextual information depicting the conditions under which a production rate is achieved are stored in multiple dispersed data sources, if they are stored. This results in extra time and effort burden for searching, gathering and integrating information, while estimating of activity production rates in new bids. Read more...