Topical Collection on "Advances in Seismic Risk Assessment of Built Heritage: Bridging Traditional Methods and Pioneering Techniques"
A topical collection of Prevention and Treatment of Natural Disasters (PTND) (E-ISSN: 2753-7544). Deadline for manuscript submissions: 31 January 2025
Collection Editors:
Dr. Shaghayegh Karimzadeh Institute for Sustainability in Structural Engineering (ISISE), ARISE, Department of Civil Engineering, Universidade of Minho, 4800-058 Guimarães, Portugal Research Interests: numerical modeling of earthquake ground motion records; developing ground motion models; probabilistic and deterministic seismic hazard analysis; nonlinear time history analysis; seismic vulnerability and risk analysis; machine-learning algorithms in earthquake engineering
Dr. Matteo Salvalaggio Institute for Sustainability in Structural Engineering (ISISE), ARISE, Department of Civil Engineering, Universidade of Minho, 4800-058 Guimarães, Portugal Research Interests: numerical modeling of masonry structures; discontinuous modeling strategies; performance-based seismic assessment; cultural heritage; strengthening techniques
Dr. Marco Donà Department of Geosciences, University of Padova, 35131 Padova, Italy Research Interests: seismic isolation of structures and contents; seismic behavior of structural and non-structural masonry elements; seismic vulnerability and risk of classes of buildings and bridges; multi-hazard risk analysis
Topical Collection Information:
Dear Colleagues,
We are delighted to announce that Dr. Shaghayegh Karimzadeh, Dr. Matteo Salvalaggio, and Dr. Marco Donà will serve as the Collection Editors for a Topical Collection of our journal. This collection centers on advances in seismic risk assessment of built heritage, addressing both single and multi-hazard scenarios. The focus is on the integration of traditional methodologies with pioneering cutting-edge approaches, including data-driven and artificial intelligence (AI) techniques.
Assessing earthquake hazards and their resulting consequences like liquefaction, tsunamis, and fires, among others, along with quantifying their impacts on built heritage (such as existing buildings, infrastructure, historic centers, and archaeological sites) is increasingly essential. While traditional methods have long been employed for evaluating risks, pioneering techniques such as data-driven and AI approaches offer promising opportunities to enhance accuracy and efficiency in the risk management process. Effectively tackling complex challenges in seismic risk assessment requires embracing multidisciplinary approaches that integrate and capitalize on diverse knowledge from fields such as, but not limited to, geosciences, engineering, and data science. The proposed Topical Collection thus seeks to bridge the conventional and innovative methodologies for addressing seismic risk assessment in built heritage, thereby fostering the development of more robust and informed risk management strategies.
Topics of interest include but are not limited to:
Single- and multi-hazard risk assessment studies;
Application of pioneering approaches, such as data-driven and AI algorithms, for predictive modeling of structural behavior and automatic hazard/vulnerability assessments;
Integration of remote sensing data and geographic information systems (GIS) for spatial analyses and innovative monitoring approaches of structures;
Development of decision support systems and tools for risk prioritization and management.
Bridging together interdisciplinary research efforts and practical insights from experts in the field, this topical collection aims to advance the state-of-the-art of single- and multi-hazard seismic risk assessment of the built heritage, ultimately contributing to the preservation and sustainable management of our built environment.
Dr. Shaghayegh Karimzadeh Dr. Matteo Salvalaggio Dr. Marco Donà Collection Editors
Keywords:
Single/Multi-Hazard Risk Assessments
Built Heritage
Data-Driven/Artificial Intelligence Algorithms
Risk Prioritization Methods
Decision-Making Process/Policy
Manuscript Submission Information:
Please visit the Submissions Guidelines page before submitting a manuscript. Submitted papers should be well formatted and use good English. Manuscripts should be submitted online through the online manuscript submission and editorial system. Additionally, please include a cover letter specifying that the manuscript is intended for the Topical Collection "Advances in Seismic Risk Assessment of Built Heritage: Bridging Traditional Methods and Pioneering Techniques" when submitting it online. Manuscripts can be submitted until the submission deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the Topical Collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract can be sent to the Editorial Office ptnd@ukscip.com for announcement on this website.
The Article Processing Charge (APC) for publication in this open access journal is 600 USD. Authors who are unable to cover this cost or those who are invited to submit papers may be eligible for discounts or waivers.
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 double-blind peer-review process.
Published Papers:
This Topical Collection is now open for submission.
by Pınar Usta Evci, Ali Ekber Sever, Elifnur Şakalak, 26 July 2024
Historic arch bridges, a common feature of Turkish infrastructure, represent a significant aspect of the country’s cultural heritage. To ensure their continued existence and preservation, it is essential to conduct a detailed examination of their structural features and behaviours. This study aimed to investigate the performance of the historic Yeşiltepe Bridge under earthquake conditions. To achieve this, the bridge was modelled using the SAP2000 finite element software, enabling a deeper understanding of its structure and the prediction of its behaviour during an earthquake. In order to ascertain the dynamic behaviour of the historical bridge, modal analysis and nonlinear time history analysis were conducted. The results of the modal analysis yielded period values, mass participation rates and mode shapes for the bridge. The time history analysis yielded displacement, base shear force and stress values for the historical structure, which were subsequently presented in graphical form. The data obtained from the study enabled the identification of the critical regions of the structure exhibiting the highest stress concentration values.
