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Journal of Structural EngineeringSpecial Collection on Data Analytics in Structural Engineering
Call for Papers
Data analytics refers to the process of developing decisions based on insights generated from historical data. Supported by the fast developments in sensor technologies, and data collection, storage, processing and visualization capabilities, the field of data analytics has been experiencing rapid growth over the past two decades. This growth has resulted in the emergence of several disruptive technologies such as image, voice, text, trend, texture, and behavior recognition/prediction, to name but a few. The impact and adoption of such technologies have been influencing multiple aspects in our societies, ranging from targeted marketing, personal computing and communicating devices, and artificial intelligence-based automation applications.
Unlike other civil engineering fields (e.g. water resource and environmental engineering) structural engineering has not been capitalizing on the advancement in data analytics. Within this context, data analytics can be broadly categorized into three main subfields: descriptive, predictive and prescriptive analytics. The relevant tools in these three subfields can benefit the structural engineering communities in multiple ways. For example, descriptive analytics answer questions in situations when a large set of interacting parameters are influencing a structural response(s). Predictive analytics provide trained and validated data-driven models that can be used to predict different scenarios in lieu of or in complement to physics-/mechanics-based models. This is particularly useful when the structural engineering problem in hand is too complex for traditional techniques to fully and/or accurately capture the observed behavior. Finally, prescriptive analytics provide key answers pertaining to best solution(s), once a prediction is made with an acceptable level of accuracy. This can result for example in significant savings in structural rehabilitation costs, or increased use of specific forms of structural systems under certain conditions, considering all governing factors.
Data-guided structural engineering has the potential to be among the most impactful research areas in our field within the coming decade and this special collection will facilitate the emergence of this area by showcasing relevant recent advances, trends, and applications as well as future challenges. This special collection will bring together papers from key researchers worldwide working on data analytics applications for structures and infrastructure systems. Contributions addressing theoretical developments as well as practical applications within the different data analytics sub-fields, will be targeted.
AMERICAN SOCIETY OF CIVIL ENGINEERS1801 Alexander Bell Dr., Reston, VA 20191, USA | Phone: 1(800) 548.2723 (US)/1(703) 295.6300 (Int’l) | Web: ascelibrary.org | E-mail: [email protected]
Guest Editor:Wael W. El-Dakhakhni, Ph.D., P.E., P.Eng., F.ASCE, ([email protected])
Special Collection on Data Analytics in Structural Engineering Submit manuscripts: https://www.editorialmanager.com/jrnsteng
Submission Deadline: September 1, 2019
Journal of Structural EngineeringSpecial Collection on Data Analytics in Structural Engineering
AMERICAN SOCIETY OF CIVIL ENGINEERS1801 Alexander Bell Dr., Reston, VA 20191, USA | Phone: 1(800) 548.2723 (US)/1(703) 295.6300 (Int’l) | Web: ascelibrary.org | E-mail: [email protected]
Submission Deadline: September 1, 2019
Submission InformationDeadline for paper submission: September 1, 2019.Please submit your manuscript via ASCE Journal of Structural Engineering website: https://www.editorialmanager.com/jrnsteng Once on the Editorial Manager website, please indicate that your paper is for the special collection “Data Analytics in Structural Engineering ” edited by Wael W. El-Dakhakhni. Detailed information on the submission process is provided in the document “Publishing in ASCE Journals: A Guide for Authors” available at https://doi.org/10.1061/9780784479018
Please note that all accepted papers submitted in response to this Call for Papers will be published in regular issues of the ASCE Journal of Structural Engineering and assembled online on a page dedicated to this Special Collection.
Guest Editor:Wael W. El-Dakhakhni, Ph.D., P.E., P.Eng., F.ASCE, ([email protected])
Call for PapersSpecial Collection on Data Analytics in Structural Engineering Submit manuscripts: https://www.editorialmanager.com/jrnsteng
