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Artificial Intelligence (AI)-Driven Full Lifecycle Management of Infrastructures: From Advanced Cementitious Materials to Durable Structures

This special issue belongs to the section “Construction and Building Materials“.

Special Issue Information

Dear Colleagues,

In order to alleviate the resource crisis and accelerate the realization of carbon neutrality, advanced cementitious materials for durable structures have been applied in infrastructure. Driven by the tremendous progress of artificial intelligence (AI), construction is gradually transitioning from traditional manufacturing to intelligent manufacturing. However, how to organically integrate AI with the entire chain of "design–construction–operation–maintenance" to achieve intelligent construction of the entire lifecycle of infrastructure needs further exploration.

This Special Issue aims to explore how to achieve intelligent infrastructure construction based on AI through advanced cementitious materials for long-lifespan structures. Research that investigates advanced cementitious materials, structures, AI algorithms, machine learning, and corresponding digital twin technologies is welcome. Literature reviews and state-of-the-art articles are highly appreciated.

The subtopics for submissions include, but are not limited to, the following:

  1. Intelligent construction and operation of infrastructure.
  2. Structural intelligence health inspection/monitoring and evaluation.
  3. Dual carbon and intelligent, healthy infrastructures.
  4. High-performance new cementitious materials.
  5. Key technologies and applications, such as BIM and digital twins.
  6. Structural intelligence for disaster prevention and mitigation.

Dr. Peng Wang
Dr. Zhangliang Hu
Dr. Nailiang Xiang
Guest Editors

Dr. Chenguang Wang
Dr. Dongliang Meng
Dr. Bo Wu
Dr. Tianyu Wang
Dr. Shangtao Hu
Guest Editor Assistants

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 250 words) can be sent to the Editorial Office for assessment.

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. Materials 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 2600 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

  • AI-driven management
  • intelligent analysis
  • machine learning
  • digital twin
  • low-carbon cement materials
  • low-carbon, sustainable, and durable concrete structures

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Materials - ISSN 1996-1944