In recent decades, the number of disasters such as floods, storm surges, and landslides has been increasing probably due to grave climate change, and the demand for natural disaster simulations has been growing. Since the problems to be solved have the nature of multi-phase, multi-physics, multi-scale and multi-stage phenomena, our numerical simulations inevitably become "hypercomplex". Indeed, the methods of numerical simulations necessitate the treatment of moving interface such as water surface and run-up waterfront, the representation of transition from solid to fluid and the characterization of fluid-solid interaction. Also, the capabilities of these simulation methods are demonstrated with reasonable verification strategies and the simulation results must be validated whether or not high accuracy is guaranteed with reference to reliability experimental data.
The aim of this special issue is to present the state-of-the-art of development of novel simulation methods for a variety of natural disasters such as tsunami, flood, storm surge, landslides, etc. so that we could enhance the technologies for disaster prevention and mitigation in the near future. In consideration of the diversity of applications, both academic scholars and engineering researchers are invited to submit their recent research contributions that portray novel and notable developments in natural disaster simulation.
The main topics of this special issue include, but are not limited to:
- Methodology of numerical simulations for natural disaster modeling of tsunami, flood and storm surge
- Modeling of boulder flow, landslide and avalanche
- Fluid-structure interaction simulations
- Damage estimation for structures
- Disaster prevention and mitigation
- Uncertainty quantification
- Verification and validation, Data-driven approaches and etc.
- Enhancement of individual numerical schemes in finite elements, finite difference, finite volume and particle methods.
Lead Guest Editor
Kenjiro Terada, Tohoku Universtiy, Japan
Guest Editors
Antonia Larese De Tetto, University of Padova, Italy
Ethan Kubatko. The Ohio State University, USA
Mitsuteru Asai, Kyushu University, Japan
Peer Review Process
Advanced Modeling and Simulation in Engineering Sciences operates a single-blind peer-review system, where the reviewers are aware of the names and affiliations of the authors, but the reviewer reports provided to authors are anonymous.
Submitted manuscripts will generally be reviewed by two to three experts who will be asked to evaluate whether the manuscript is scientifically sound and coherent, whether it duplicates already published work, and whether or not the manuscript is sufficiently clear for publication. The Editors will reach a decision based on these reports and, where necessary, they will consult with members of the Editorial Board.
Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies, including those pertaining to Collections. Articles will be added to the Collection as they are published.
Submission Instructions
Before submitting your manuscript, please ensure you have carefully read the submission guidelines for Advanced Modeling and Simulation in Engineering Sciences. Your complete manuscript should be submitted through the Advanced Modeling and Simulation in Engineering Sciences submission system, selecting inclusion with the thematic series, “Recent Advances in hypercomplex disaster simulations” when prompted. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Open Access Publication
Submissions will also benefit from the usual advantages of open access publication:
Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient.
High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article.
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Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed.
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