Výsledky vyhledávání - "John C. Matthews"

Akademický článek

Wastewater pipe defect rating model for pipe maintenance using natural language processing

Autor: Sai Nethra Betgeri, Shashank Reddy Vadyala, John C. Matthews, Hongfang Lu

Publikováno v: Frontiers in Water, Vol 5 (2023)

IntroductionClosed-circuit video (CCTV) inspection has been the most popular technique for visually evaluating the interior status of pipelines in recent decades. Certified inspectors prepare the pipe repair document based on the CCTV inspection. The

Externí odkaz: https://doaj.org/article/4318ccaf58cf4a8a966e11bc76ebce2e

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Akademický článek

Oil spill cleanup using industrial and agricultural waste-based magnetic silica sorbent material: a green approach

Autor: Narendra Kumar, Sudhir S. Amritphale, John C. Matthews, Joan G. Lynam

Publikováno v: Green Chemistry Letters and Reviews, Vol 14, Iss 4, Pp 634-641 (2021)

Recent oil spills causing pollution in oceans and other bodies of water require sorbents that are both cost-effective and eco-friendly. Novel magnetic silica sorbent materials (MSS) have been synthesized using ash from rice husks or sugarcane bagasse

Externí odkaz: https://doaj.org/article/003caadec6e8433da86118a02ce1cf7b

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Akademický článek

Reduction of Carbon Emission Is Optimized During the Life Cycle of Commonly Used Force Main Pipe Materials

Autor: Alhossin A. Alsadi, John C. Matthews

Publikováno v: Frontiers in Water, Vol 4 (2022)

With increasing attention to global warming and greenhouse gas (GHG) emissions and providing a better environment for coming generations, there is a critical need to quantify and decrease the environmental impact. Underground construction projects ar

Externí odkaz: https://doaj.org/article/2a76b689361a4ef6b6a52083b06b05c0

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Akademický článek

A review of physics-based machine learning in civil engineering

Autor: Shashank Reddy Vadyala, Sai Nethra Betgeri, John C. Matthews, Elizabeth Matthews

Publikováno v: Results in Engineering, Vol 13, Iss , Pp 100316- (2022)

The recent development of machine learning (ML) and Deep Learning (DL) increases the opportunities in all the sectors. ML is a significant tool that can be applied across many disciplines, but its direct application to civil engineering problems can

Externí odkaz: https://doaj.org/article/6de9aa8ce1bd4f4e8a2a0da1988950cf

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Akademický článek

Mechanical Properties of Novel Reinforced Spray in Place Pipe Material With Potential Fully Structural Performance Application

Autor: M. Amin Azimi, John C. Matthews, Asal Bagherpour, Alhossin Alsadi, John J. Kraft, Shaurav Alam, Urso Campos

Publikováno v: Frontiers in Water, Vol 3 (2021)

Many utility owners in the United States are actively searching for new and innovative rehabilitation techniques to help them regain control and repair large tracts of their networks; moreover, traditional open cut replacement is too costly and slow

Externí odkaz: https://doaj.org/article/2187fbfcea2e446591b55eee2fb6d96b

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