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contributor authorYilan Zhang
contributor authorSean M. O’Connor
contributor authorGwendolyn W. van der Linden
contributor authorAtul Prakash
contributor authorJerome P. Lynch
date accessioned2017-05-08T22:34:25Z
date available2017-05-08T22:34:25Z
date copyrightSeptember 2016
date issued2016
identifier other50027534.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/82892
description abstractStructural monitoring systems are an objective and quantitative-based management tool that have been developed to assist structure owners with their diagnostic and prognostic decision making processes. As sensing technologies mature, the deployment of permanent sensing arrays in structures is becoming more popular, resulting in increasing volumes of sensing data. Comprehensive data-management systems are needed to host and curate heterogeneous data sets associated with structural asset management including structural information (design and inspection information) and massive amounts of sensing data. More importantly, the data-management system must also provide a functional but secure means of allowing software clients to perform analytics on the data contained in the system. In this paper, a scalable and secure cyberinfrastructure platform termed
publisherAmerican Society of Civil Engineers
titleSenStore: A Scalable Cyberinfrastructure Platform for Implementation of Data-to-Decision Frameworks for Infrastructure Health Management
typeJournal Paper
journal volume30
journal issue5
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)CP.1943-5487.0000560
treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 005
contenttypeFulltext


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