Smart Infrastructure

A special issue of Infrastructures (ISSN 2412-3811). This special issue belongs to the section "Smart Infrastructures".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 6219

Special Issue Editors


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Guest Editor
Department of Civil and Environmental Engineering, University of Iowa, Iowa City, IA 52240, USA
Interests: asphalt pavement recycling; pavement management systems; automated distress evaluation systems; pavement image analysis
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Guest Editor
Department of Computer, Control and Management Engineering “Antonio Ruberti”, University of Rome “La Sapienza”, Via Ariosto 25, 00185 Roma, Italy
Interests: automatic control; smart grids; smart cities; cyber-physical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the advancement of artificial intelligence and robotics in a challenging time of rapid climate change, there is a critical need to incorporate intelligent sensors into infrastructure. Civil infrastructure should be designed with a focus on smart building materials constructed using smart equipment and monitored using smart sensors. Smart infrastructure is the design, construction, and management of existing infrastructure by deploying intelligent materials, sensors, and equipment to sustain performance under the impacts of climate change and preserve the condition by developing smart asset-management systems. Thus, building smart infrastructure is one of the most critical considerations in developing smart cities.

This Special Issue aims to publish high-quality research papers as well as state-of-the-art review articles that focus on artificial intelligence and robotics in designing, building, and managing infrastructure. Submissions to this Special Issue should be focused on various advances that have taken place worldwide in smart infrastructure technologies for smart cities.

I would like to invite you to contribute to this Special Issue on smart infrastructure, to be published in MDPI’s journal Infrastructures. This Special Issue is very timely and would encompass, but is not limited to, the following emerging topics:

  • Design of smart buildings and infrastructure;
  • Smart sensors for buildings and infrastructure;
  • Innovative building maintenance management system;
  • Optimized infrastructure asset management system;
  • Smart underground pipes and structures;
  • Smart energy-harvesting infrastructure;
  • Smart power-grids and energy infrastructure;
  • Smart and autonomous transportation infrastructure;
  • Smart urban parking management systems;
  • Smart disaster-prevention and response;
  • Smart urban-planning for smart cities;
  • Smart materials for use in infrastructure;
  • Field tests of smart infrastructure materials and sensors;
  • Smart and automated construction equipment;
  • Smart infrastructure evaluation using drones.

The deadline for receiving your contributions is December 31, 2022.

Sincerely,

Dr. Hosin “David” Lee
Dr. Francesco Liberati
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. Infrastructures is an international peer-reviewed open access monthly 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 1800 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

  • smart infrastructure management systems
  • smart infrastructure materials
  • smart infrastructure evaluation
  • smart sensors
  • smart materials
  • smart construction equipment
  • smart construction operations
  • smart urban disaster-management system
  • smart cities

Published Papers (2 papers)

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Research

18 pages, 6837 KiB  
Article
Numerical Investigation on Effect of Opening Ratio on Structural Performance of Reinforced Concrete Deep Beam Reinforced with CFRP Enhancements
by Yasar Ameer Ali, Lateef Najeh Assi, Hussein Abas, Hussein R. Taresh, Canh N. Dang and SeyedAli Ghahari
Infrastructures 2023, 8(1), 2; https://doi.org/10.3390/infrastructures8010002 - 20 Dec 2022
Cited by 2 | Viewed by 2094
Abstract
Reinforced concrete deep beams are a vital member of infrastructures such as bridges, shear walls, and foundation pile caps. Thousands of dollars and human lives are seriously threatened due to shear failure, which have developed in deep beams containing web openings. This paper [...] Read more.
Reinforced concrete deep beams are a vital member of infrastructures such as bridges, shear walls, and foundation pile caps. Thousands of dollars and human lives are seriously threatened due to shear failure, which have developed in deep beams containing web openings. This paper investigates numerically the overall behavior of simply supported concrete deep beams reinforced with carbon fiber-reinforced polymer (CFRP) sheets through forty specimens grouped in four groups. The numerical analysis results agreed well with the experimental results in the literature, particularly the visual failure initiation with a failure load difference of nearly 7%. Finite element analyses indicated that the presence of an opening with considerable width reduced the failure load by about 71% compared to the corresponding solid specimens. In addition, the reinforced concrete deep beam samples started to behave differently when the (b/h) ratio increased more than (2.0). The findings showed that the compression stress strut pathway had been disrupted by the web opening leading to stress redistribution, and the structure will behave as two separate members. Thus, the upper web-opening part sustained the most stress, while the part under the web-opening did not show any stress concentration. The numerical stress distribution results showed that the attributed reason is that rebars and openings helped redirect the stresses to the compression strut. Using CFRP sheets with a width of more than 160 mm significantly improved the reinforced concrete deep beam with web-opening due to the increasing confinement to the upper part of the reinforced concrete deep beams with the opening. Full article
(This article belongs to the Special Issue Smart Infrastructure)
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21 pages, 3365 KiB  
Article
Framework for Smart Cost Optimization of Material Logistics in Construction Road Projects
by Abdulkareem Alanazi, Khalid Al-Gahtani and Abdullah Alsugair
Infrastructures 2022, 7(5), 62; https://doi.org/10.3390/infrastructures7050062 - 22 Apr 2022
Cited by 1 | Viewed by 3063
Abstract
Despite advancing Internet of Things (IoT) technologies, road projects often rely on inaccurate supplier data, making it difficult to determine the cost, quantity, quality, and transportation duration of the needed materials. The wrong choice of material suppliers can lead the supply chain to [...] Read more.
Despite advancing Internet of Things (IoT) technologies, road projects often rely on inaccurate supplier data, making it difficult to determine the cost, quantity, quality, and transportation duration of the needed materials. The wrong choice of material suppliers can lead the supply chain to suffer losses, directly affecting the project’s performance. In this regard, many studies have devised material logistics optimization models for road projects. However, the majority based their decisions on inaccurate or outdated data. This paper studies this gap by introducing a framework that utilizes IoT technologies and smart construction to feed optimization models with accurate and dynamically updated material data. This IoT-powered framework considers only quantitative criteria as input data to the integrated linear programming optimization model, precisely selected suppliers, and optimally calculated costs using MS Excel Solver. The results reveal that the framework is sensitive to any dynamic data updates and can achieve up to 40% material cost savings in real runtime. The paper demonstrates the proposed outline framework with a case study of planning an alternative road between Riyadh and Madinah cities in Saudi Arabia. Full article
(This article belongs to the Special Issue Smart Infrastructure)
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