Architectural Heritage Management in Earthquake-Prone Areas
A special issue of Heritage (ISSN 2571-9408).
Deadline for manuscript submissions: 31 March 2025 | Viewed by 12104
Special Issue Editors
Interests: structural engineering; masonry building; cultural heritage; seismic vulnerability; evaluation and rehabilitation; engineering education; earthquake engineering; neural network; optimization; computational mechanics; unilateral contact problems; system identification; structural health monitoring (SHM); seismic engineering; design of experiment; data analysis; output-only systems identification
Interests: structural analysis; finite element analysis; finite element modeling; mechanical properties; stress analysis; construction structural dynamics; mechanics of materials; simulation building
Interests: mathematical models of curved beams; linear and non-linear dynamics of beams and laminates; non-smooth contact dynamics method applied to masonry structures; dynamic identification of physical; modal
Special Issue Information
Dear Colleagues,
The historical and architectural heritage of many countries of the world consists mainly of masonry buildings. It is well known that many of these buildings are vulnerable to natural disasters such as earthquakes, floods, and landslides. For this reason, there is an urgent need to improve the structural performance of historic buildings and enhance safety.
Although research has focused intensively on these aspects, there are still some problems related to appropriate management approaches.
This sort of heritage buildings is likely to be characterized by various changes over time, either negative changes due to abandonment, or positive changes due to renovation of historic buildings to support their adaptation to new living conditions. Thus, inherent vulnerabilities result from all the changes that the asset has undergone, which poses an even greater risk for buildings in seismic areas, as this could lead to irreversible damage and loss.
A good understanding of the vulnerability of historic buildings in earthquake-prone areas is therefore important for their appropriate preservation.
This not only allows the planning of preventive maintenance measures but, in the event of an earthquake, it leads to more informed decisions about where to intervene first and to determine more quickly where to take safety measures for the buildings most at risk.
Our goal, therefore, is to discuss outstanding issues, challenges, and successes in collecting architectural heritage data to improve the management of these types of assets.
We invite researchers, professionals, and stakeholders to contribute to this special issue by submitting both original research articles and review articles to promote scientific progress in this field.
Dr. Michele Betti
Dr. Giovanni Castellazzi
Dr. Francesco Clementi
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. Heritage 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 1600 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
- heritage management
- H-BIM
- digital twins
- computational modeling
- big data
- artificial intelligence / machine learning
- Internet of Things
- best practices
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