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Pipeline Science and Innovation

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (1 June 2022) | Viewed by 3962

Special Issue Editors


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Guest Editor
Plummer Associate Inc., Fort Worth, TX 76107, USA
Interests: underground infrastructure management; asset management; water and wastewater planning; trenchless technology; pipe renewal

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Guest Editor
Department of Civil Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
Interests: pipeline; construction engineering and management; underground infrastructure construction and renewal technologies; trenchless technologies
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
Interests: sustainable construction and infrastructure engineering; asset management; construction; renewal and management of infrastructure systems using innovative methods
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
Interests: sustainable construction and infrastructure engineering; asset management; and construction; renewal and management of infrastructure systems by using innovative methods

Special Issue Information

Dear Colleagues,

Pipeline science and innovation is a scientific field and area of profession in the field of pipelines that reports on a broad range of topics. The purpose of this Special Issue is to publish original in-depth scientific and technical papers describing the latest research and developments in water distribution and transmission systems, wastewater collection systems, storm sewers, drainage structures, and culverts in the oil and gas industries. One of the most important aspects of this topic is the support of artificial intelligence-based research and projects related to pipeline maintenance, safety, management, and reliability. The target audience of this Special Issue includes scientists and experts in the pipeline industry as well as representatives of specialized scientific commercial organizations and government authorities.

This Special Issue “Pipeline Science and Innovation” will cover the wide spectrum of pipeline sectors, including gathering, transmission, and distribution pipeline systems. The research topics include, but are not limited to, pipeline design and construction, planning and routing, pipeline renewal, trenchless technology, operation and maintenance, automation, supervisory control and data acquisition (SCADA), pumps and compressors, flow assurance, defect assessment, numerical modeling, safety, in-line inspection, direct assessment, hydrotesting, pipeline integrity management, risk assessment and management, asset management, environmental aspects, environmental conservation, pipeline economics, and sustainability of pipeline systems.

“Pipeline Science and Innovation” respects the privacy of its authors and readers and complies with applicable laws for the protection of their privacy.

The suitability of submissions to this Special Issue of the journal Sustainability will be determined based on the evaluation by the strong Guest Editor team and submissions will be sought across the world via their respective networks. Relevant topics also include new advanced pipeline design and modeling, in which several environmental and sustainability concerns and aspects are covered through the various projects or research studies.

Dr. Mohammadreza Malek Mohammadi
Dr. Mohammad Najafi
Dr. Vinayak Kaushal
Dr. Ramtin Serajiantehrani
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • pipeline design
  • asset management
  • infrastructure management
  • pipeline planning
  • pipeline renewal
  • trenchless technology

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Published Papers (1 paper)

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Research

20 pages, 3462 KiB  
Article
Development and Comparison of Prediction Models for Sanitary Sewer Pipes Condition Assessment Using Multinomial Logistic Regression and Artificial Neural Network
by Daniel Ogaro Atambo, Mohammad Najafi and Vinayak Kaushal
Sustainability 2022, 14(9), 5549; https://doi.org/10.3390/su14095549 - 5 May 2022
Cited by 9 | Viewed by 3047
Abstract
Sanitary sewer pipes infrastructure system being in good condition is essential for providing safe conveyance of the wastewater from homes, businesses, and industries to the wastewater treatment plants. For sanitary sewer pipes to deliver the wastewater to the treatment plants, they must be [...] Read more.
Sanitary sewer pipes infrastructure system being in good condition is essential for providing safe conveyance of the wastewater from homes, businesses, and industries to the wastewater treatment plants. For sanitary sewer pipes to deliver the wastewater to the treatment plants, they must be in good condition. Most of the water utilities have aged sanitary sewer pipes. Water utilities inspect sewer pipes to decide which segments of the sanitary sewer pipes need rehabilitation or replacement. The process of inspecting the sewer pipes is described as condition assessment. This condition assessment process is costly and necessitates developing a model that predicts the condition rating of sanitary sewer pipes. The objective of this study is to develop Multinomial Logistic Regression (MLR) and Artificial Neural Network (ANN) models to predict sanitary sewer pipes condition rating using inspection and condition assessment data. MLR and ANN models are developed from the City of Dallas’s data. The MLR model is built using 80% of randomly selected data and validated using the remaining 20% of data. The ANN model is trained, validated, and tested. The significant physical factors influencing sanitary pipes condition rating include diameter, age, pipe material, and length. Soil type is the environmental factor that influences sanitary sewer pipes condition rating. The accuracy of the performance of the MLR and ANN is found to be 75% and 85%, respectively. This study contributes to the body of knowledge by developing models to predict sanitary sewer pipes condition rating that enables policymakers and sanitary sewer utilities managers to prioritize the sanitary sewer pipes to be rehabilitated and/or replaced. Full article
(This article belongs to the Special Issue Pipeline Science and Innovation)
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