Monitoring, Assessment, and Interventions on Existing Bridges: From Physical Methods to Machine Learning-Based Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 7984
Special Issue Editors
Interests: seismic design of structures; assessment and retrofitting of existing bridges and structures; soil structure interaction
Special Issues, Collections and Topics in MDPI journals
Interests: structural engineering; bridge engineering; durability; reliability; repair and rehabilitation; cable-stayed bridges; jointless bridges; integral abutment bridges; survival analysis
Special Issues, Collections and Topics in MDPI journals
Interests: structural monitoring; structural control; structural concrete
Special Issues, Collections and Topics in MDPI journals
Interests: optimal design of structures; rehabilitation exisiting strctures and infrastructures; durability; steel-concrete composite structures
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Transportation networks are essential for the mobility of persons and goods as well as for economic, social, and territorial cohesion. Unfortunately, several critical infrastructures are poorly maintained, and some of them are unable to meet current or near-future demands. Since transportation systems suffer from deterioration phenomena while the mobility demand intensifies due to growing volumes of exchanges, it has become increasingly evident that there is an urgent need to evaluate the reliability of existing infrastructures, so as to ensure safety, satisfactory quality of service, and proper prioritization of suitable actions such as retrofitting, partial closures, or even dismission. As key elements in most roadway and railway transportation networks, bridges deserve special attention and call for effective monitoring, assessment, and intervention strategies. Within this framework, parallel to recent advances in classical physical methods, a growing interest in the use of smart technologies and machine learning-based tools can also be noted. In this perspective, the present Special Issue is meant at collecting original contributions on the following topics:
- Static or dynamic experimental testing and structural monitoring of existing bridges, with the design or implementation of smart technologies being especially welcome;
- Static or dynamic numerical procedures for the structural assessment of existing bridges, taking into special account the occurrence of deterioration phenomena or concurrent multiple hazards;
- Structural identification and diagnosis of bridges, with focus on the application and validation of machine learning-based techniques;
- Laboratory or in situ tests as well as numerical modeling or analytical design of retrofitting interventions for existing bridges.
Prof. Dr. Camillo Nuti
Prof. Dr. Habib Tabatabai
Prof. Dr. Giuseppe Quaranta
Prof. Dr. Bruno Briseghella
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. Applied Sciences 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.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.