Special Issue "The Future of Infrastructure Inspection"
Deadline for manuscript submissions: closed (30 November 2019).
Interests: data-driven science, machine learning, machine vision, post-disaster assessment, natural hazards, structural engineering, reinforced concrete, structural resilience
Interests: life-cycle data analytics; computer vision, digital twin; data fusion; 3D remote sensing; structural engineering
The nation’s existing infrastructure is rapidly aging with insufficient maintenance and rebuilding efforts nationwide, in addition to a lack of forward-thinking and resilient new built-infrastructure that addresses our nation’s growing population and needs. Without a swift and effective response, our infrastructure will continue to deteriorate beyond safe, functional use. Moreover, both industry stakeholders and government entities continue to underinvest in advancements in the infrastructure sector that would mitigate these predictable effects. This goal of this Special Issue is to demonstrate a viable and convincing vision for the future of infrastructure sensing and inspection. The articles contained in this Special Issue should illustrate the value of the novel and innovative technologies and methodologies being advanced through research. The field of infrastructure inspection is evolving and expanding faster than ever before. New technologies such as robotics, augmented reality, and deep learning are revolutionizing the ways in which we can monitor and evaluate structural systems. However, with these advancements come new challenges and considerations for effective implementation.
This Special Issue will illuminate the true state-of-the-art, the most significant challenges for future advancement, and the state-of-the-future in the field of infrastructure inspection. The Special Issue is designed to inform the public about the emerging challenges and opportunities for advanced technologies and methodologies, as well as to delineate considerations for practical implementation. The articles will not be limited to any one civil engineering domain, class of infrastructure, or inspection paradigm. The Special Issue will communicate the emerging capabilities and challenges that will help define structural sensing and monitoring over the next decades.
The goal is to publish original research papers focused on current innovation and the future vision for infrastructure inspection.
Examples include but are not limited to innovations in the following areas:
- Data collection, analysis, and management;
- Long-term monitoring;
- Post-disaster assessments;
- Digital twin;
- Infrastructure maintenance;
- Infrastructure repair and retrofit strategies;
- Robotic-assisted inspections;
- Data-driven approaches;
- Augmented or virtual reality applications;
- Applications of additive or advanced manufacturing strategies.
Dr. Stephanie German Paal
Dr. David Lattanzi
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 papers will be 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 1400 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.
- advanced infrastructure
- disruptive technology
- structural health monitoring