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Redivis: A ScalableWeb Platform for Business Research

Abstract

Redivis is a web platform specifically tailored to the needs of research computing in the context of large, restricted datasets. At the Stanford Graduate School of Business, Redivis has been leveraged to distribute terabyte-scale datasets to the research community. The platform addresses longstanding challenges in the administration of large, high-risk datasets, including scalable data ingest and curation tools, integrated access management, and robust audit trails. In turn, it also provides an accessible, high-performance compute environment to end users, allowing them to collaboratively build reproducible analytical workflows in SQL, R, Python, Stata, and SAS.

article Proceedings Paper

date_range 2024

language English

link Link of the paper

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Storer Alex

Mathews Ian

Delaney Erin

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business research

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Effect of corrosion on flexural strength of reinforced concrete beams with polypropylene fibers

Abstract

An experimental study was performed to investigate the effects of polypropylene fibers on uncorroded and corroded reinforced concrete beams. Three different volume fractions of polypropylene fibers having 0, 0.5, and 1.5%, were tested at four corrosion levels of 0% and approximately 5, 7, and 9%. A full scale of an accelerated corrosion pool was used for the accelerated corrosion process. Reinforced concrete beams were used for an under monotonic bending test. The contribution of the actual corrosion levels of transverse and longitudinal reinforcement bars to the total corrosion levels were obtained from reinforcement bars fully extracted from concrete. Flexural strength, bond-slip, and moment-curvature relationships were examined for uncorroded and corroded reinforced concrete beams. A new model was developed to predict the flexural strength of corroded reinforced concrete beams. The proposed model for predicting the residual flexural strength of corroded beams was compared with test data published in previous studies. Furthermore, a novel model is presented for improved predictions between the actual and theoretically estimated corrosion mass losses, based on Faraday’s law, with the aid of fully extracted reinforcement bars. The model used to predict the flexural strength of corroded reinforced concrete beams with large sizes demonstrated good agreement with current and previously published literature data. In the case of corroded beams comprising differing amounts of polypropylene fibers, the performance of the corroded beams was limited by a fiber volume fraction of 1.5% at low corrosion levels.

article Article

date_range 2018

language English

link Link of the paper

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