COMPSAFE2025 Minisymposia

A minisymposium consists of one or more technical sessions that focus on a specific topic or research area in the scope of COMPSAFE. The technical sessions provide a flexible format that accommodates keynote lectures, invited, and contributed papers. Volunteer minisymposium organizers will develop each minisymposium individually. The organizers are responsible for the technical contents of their minisymposia; they select the invited participants, and review abstracts of contributed papers.

MS-01: Combustion Simulations for Safety and Environmental Problems

Akiko Matsuo (Keio University), Yuji Nakamura (Toyohashi University of Technology), Ryoichi Kurose (Kyoto University), ‪Huangwei Zhang (National University of Singapore), Xinyan Huang (Hong Kong Polytechnic University)

Combustion is an extremely complex phenomenon in which reactions involving hundreds of chemical species occur over thousands to tens of thousands of steps at most, in a turbulent flow field, accompanied by heat generation. Therefore, numerical simulations are essential for elucidating the mechanisms and precisely predicting the combustion behavior. In this MS, we will discuss the physics and modelling of combustion related to the safety and environmental problems, in terms of numerical simulations. The topics of interest include (but are not limited to) fire, explosion, instability and flashback.

MS-02: Computational Methods for Water Environmental Problems and Coastal/Flood Disaster Mitigation

Kazuo Kashiyama (Chuo University), Ethan Kubatko (The Ohio State University),Clint Dowson (The University of Texas at Austin), Eirik Valseth (The University of Texas at Austin)

A number of natural disasters such as floods, storm surges, tsunamis occur annually in various parts of the world. Also, the transport problems such as water pollution and the sediment transport are becoming important issues in water environmental problems. This mini-symposium will examine the latest developments in solving uncoupled and coupled flow, transport problems with water environmental applications and the coastal/flood disaster mitigation.

MS-03: Advances in Hypercomplex Disaster Simulation and Modeling

Joannes J. Westerink (University of Notre Dame), Seizo Tanaka (Hiroshima Institute of Technology), Takatoshi Kiriyama (Shimizu Corporation), Mitsuteru Asai (Kyushu University), Shinsuke Takase(Hachinohe Institute of Technology)

The scope of this mini-symposium is to discuss the development of simulation methods for natural disasters such as tsunamis, floods, storm surges, landslides, etc. Simulation of these types of events is crucial to the prediction of resulting damages. This mini-symposium expected to foster the exchange of the ideas and the information about the related numerical schemes so as to be contributory to disaster prevention and mitigation in the near future.

Topics of interest include:

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.

MS-04: Numerical Simulation in Geomechanics and Geodisasters Co-organized by TC103 of International Society for Soil Mechanics and Geotechnical Engineering

Kazunori Fujisawa (Kyoto University), Takayuki Shuku (Tokyo City University), Babloo Chaudhary (National Institute of Technology Karnataka)

Soil is treated as a mixture composed by three phases: soil particles, water, and air. Numerical methods have been developed to simulate infinitesimal and large deformation, failure, and dynamic response based on mechanics and dynamics of these interrelated phases. Hence, such numerical analyses inherently resolve the problems of multi-physics. Recently, plant roots and oils are also occasionally included in the solid and liquid phases to investigate the effect of the vegetation on slope stability, exploitation of natural resources, and so on. With the threat of severe rainstorms or flooding due to climate change and mega-earthquakes, disaster prevention and mitigation for soil structures or the ground are important applications of the numerical methods for the mixture of three phases. This mini-symposium places the focus on latest numerical methods in geomechanics and their applications to geodisasters.

MS-05: Novel Numerical Methods and Multi-Approach Strategies in Computational Mechanics

Koji Nishiguchi (Nagoya University), Naoto Mitsume (University of Tsukuba), Shunhua Chen (Sun Yat-sen University), Tetsuya Matsuda (University of Tsukuba), Toshiyuki Imamura (RIKEN), ChungGang Li (National Cheng Kung University), Wei-Hsiang Wang (National Chung Hsing University), Hiroyuki Omura (National Research Institute for Earth Science and Disaster Resilience)

The challenges faced in modern engineering are becoming increasingly interdisciplinary and complex. Numerical analysis has evolved into a multi-method approach, integrating various computational and experimental techniques to address sophisticated simulations. In the development of new numerical methods for solving engineering problems, exposure to a diverse range of approaches often leads to the identification of more effective solutions. This session seeks to accelerate this virtuous cycle by offering a platform for research presentations and discussions that shape the future of computational engineering. The topics covered span a broad range of technologies, including multiphysics, multiscale analysis, machine learning, deep generative modeling, reduced-order modeling, and massively parallel computing, alongside their industrial applications.

MS-06: Multiscaling for Safety and Environmental Problems

Akiyuki Takahashi (Tokyo University of Science), Yuichi Tadano (Saga University), Tong-Seok Han (Yonsei University)

This minisymposim focuses on the developments and applications of computational methods for multiscale modeling and analyses with a view to safety assessment of materials and structures, including all pending challenges. In this context, a class of computational homogenization methods must be one of the promising strategies for determining the effective behavior of complex and highly heterogeneous materials, and for computing the response of structures composed of these materials. Also, multiscale materials modeling using the hierarchy of simulation techniques and coupling techniques from first principles to continuum must be another approach for exploring thoroughly the physical picture of complex material deformation behavior. Although some of the methods are of great utility value even in practical applications and seems to be mature in the field of computational mechanics, there must be some room for further development in view of safety and environmental engineering.

The topics covered include (but not limited to):

1. Heterogeneous, time-dependent and nonlinear material behavior, including material dynamics;
2. Heterogeneous materials with coupled multi-physics behavior (phase change, chemo-mechanics, nonlinear thermo-mechanics...), including extended homogenization schemes;
3. Materials with a complex physical geometry, e.g. provided by high resolution 3D imaging techniques;
4. Multiscale damage modeling, capturing the transition from homogenization to localization;
5. Computational homogenization including size and second-order effects;
6. Microstructures with complex interfaces
7. Multiscale simulations with non-local phenomena like cracks, instabilities or shear bands;
8. Reduction of computational costs associated with multiscale algorithms;
9. Integration of phenomena occurring at nanoscale;

MS-07: Multiscale Modeling and Multiscale Analysis for Computational Materials and Engineering Applications.

Shu-Wei Chang (National Taiwan University), Seunghwa Ryu (Korea Advanced Institute of Science and Technology)

Statistical mechanics provides a mathematical framework which allows us to explain, understand and predict macroscopic physical properties from microscopic observations and parameters. The persisting growth of artificial intelligence and multiscale modeling has strongly reshape the way engineers develop new materials and overcome engineering challenges. In the past decade, there have been exciting developments in understanding the mechanics of nano- and bio- structures and materials from in silico investigation of materials. These developments have shown great potential for a wide range of engineering applications. Design of nanostructured and self-assembled materials to achieve materials with higher strength and performance for mechanical and energetic applications is currently receiving significant attention. Understanding the mechanics of these materials and their fundamental mechanisms are crucial for the design of innovative materials. This symposium will focus on the computational mechanics and analysis across multiple length scales for a wide range of engineering applications, with an aim to represent the cutting edge research in multiscale science and engineering.

MS-08: Recent Advances in Impact and Blast Analyses

Masuhiro Beppu (National Defense Academy), Piotr Sielicki (Poznan University of Technology), Akemi Nishida (Japan Atomic Energy Agency), Masato Komuro (Muroran Institute of Technology), Wensu Chen (Curtin University), Yifei Hao (Hebei University of Technology), Xihong Zhang (Curtin University), Toshiyuki Horiguchi (National Defense Academy), Thong Pham (University of South Australia)

Extreme natural disasters such as falling rock, debris flow, tornado, volcanic eruption, earthquake, tsunami, and typhoon have historically threatened human lives and man-made structures. In addition to the natural disasters, anthropogenic disasters such as aircraft impact, vehicle impact, bombing terrorism and explosions in chemical plants have attracted researchers and engineers for protecting humans and developing design methods for constructing protective structures. To this end, investigating the failure mechanisms of protective structures is indispensable by analyzing the impact and blast phenomena. The main purpose of this mini-symposium is to bring together researchers and engineers working in the aforementioned research fields, and to discuss state-of-the-art computational methods with regard to impact and blast problems of solids and structures.

Topics of interest include (but are not limited to):

Impact, blast loading, dynamic material characteristics, nonlinear analysis.

MS-09: Recent Advances in Computational Fracture Mechanics and Failure Analysis

Yoshitaka Wada(Kindai University),Hiroshi Okada(Tokyo University of Science),Toshio Nagashima(Sophia University),Xiaosheng Gao(Acron University),Ayhan Ince(Concordia University),Adrian Loghin(Simmetrix Inc.)

This mini-symposium deals with the state-of-the-art computational modelling methods applied to fracture mechanics and failure analysis. Applications of computational methodologies, such as, FEM, X-FEM, GFEM, S-FEM, BEM, IGA, Peridynamics and other advanced numerical techniques will be discussed in the mini- symposium to advance a comprehensive understanding of cutting-edge methodologies and simulations. Fields of interests span a wide range of areas, such as aerospace, automobile, naval architecture, nuclear power, mechanical/civil engineering, and other structural applications. Outcomes of both the applied and fundamental research are warmly welcome to enrich the knowledge exchange within the mini-symposium.

MS-10: Deep and Machine Learning Methodology in the Contexit of Application to Computational Mechanics

Yoshitaka Wada(Kindai University),Yasushi Nakabayashi(Toyo University), Masao Ogino(Daido University), Akio Miyoshi(Insight Inc.), Shinobu Yoshimura(University of Tokyo)

Application of artificial intelligence technology in the field of computational mechanics has been established for a long time. However, many examples of applying deep learning technology currently dominating the world to computational mechanics have not been reported yet. The objective of this minisymposium is to discuss how to apply artificial intelligence such as deep and machine learning technologies to computational mechanics. We warmly welcome anything related to computational mechanics or artificial intelligence toward uniting both technologies into significant and beneficial applications. Particularly by using deep learning, it is necessary to discuss examples that make it possible to simulate objects that were difficult to simulate in the past, or to improve the accuracy of simulations that have been done in the past.

MS-11: Structural Optimization for Creating a Better Society

Shintaro Yamasaki (Waseda University), Junji Kato (Nagoya University), Akihiko Takezawa (Waseda University), Xiaopeng Zhang (Dalian University of Technology)

This mini-symposium is intended to discuss the development of novel structural optimization methods for creating a better society. Now, we are surrounded by a lot of functional devices and artifacts, which play important roles for improving our quality of life, and their performances often strongly depend on their own structures. On the other hand, designing structural shape and topology of those devices and artifacts is a difficult task for designers because they must find a satisfactory solution in a large design space while considering many requirements. Structural optimization, which is roughly classified into sizing, shape, and topology optimizations, is a promising design methodology for the above task because it can find the optimal, at least a locally optimal, solution on the basis of mathematics and physics.

This mini-symposium expects to foster the exchange of the ideas and the information about fundamental and application aspects of structural optimization.

Topics of interest include:

Fundamental improvements of sizing, shape, and topology optimizations, including level-set- and phase-field-based methods. Applications of sizing, shape, and topology optimization methods for creating a better society; the organizes suppose sustainability, safety, and emergency management as representative application fields, but not restricted into them.

MS-12: Simulation of Earthquake Hazards and Disasters with HPC

Kohei Fujita (The University of Tokyo), Takane Hori (Japan Agency for Marine-Earth Science and Technology), Tsuyoshi Ichimura (The University of Tokyo), Kengo Nakajima (The University of Tokyo/RIKEN)

This mini-symposium invites presentations regarding developments in large-scale earthquake hazard and disaster simulations in science and engineering length-scales. Broad aspects from seismology to earthquake engineering, such as structural response, soil amplification, soil liquefaction, city response, earthquake ground motion and wave propagation, tsunami, crustal deformation, earthquake cycle and the other related issues in earthquake and geo-hazard are expected with an emphasis on use of high-performance computer systems including CPU-based systems, GPU and other accelerator-based systems, and other computational resources. Topic of interest includes simulation-based methods and methods integrating/assimilating with various observational data.

MS-13: Particle-based Numerical Methods for Simulating Solid-granular Interactions

Yupeng Jiang(Leibniz University Hannover), Clarence Choi (The University of Hong Kong), Kenjiro Terada (Tohoku University), Hashimoto Ryota (kyoto university), Bodhinanda Chandra (UC Berkeley)

Solid-granular interactions (SGI) describe the interplay through quasi-static or dynamic contact between granular mixtures, which are highly deformable materials, and solid structures, which are characterized by their rigidity and robustness. SGI-related issues are widespread in geotechnical engineering, including geophysical flow dynamics near barriers, solid-granular impact, and internal erosion. Understanding the fundamental mechanics driving SGI is crucial for ensuring safety across various civil engineering practices.

Given the high deformability of granular materials, particle-based methods are commonly applied due to their effectiveness and robustness in dealing with large strains. When properly coupled with other continuum and discrete solvers, these methods have proven effective in capturing the complex physical insights of geo-mechanical problems.

This mini-symposium is proposed as a platform for showcasing and discussing state-of-the-art particle-based methods that address modern geotechnical challenges involving SGI. Topics of interest include, but are not limited to, the coupling of methods such as MPM, SPH, P-FEM, and DEM. Contributions on multi-phase and multi-physical phenomena are especially encouraged.

MS-14: Meshless and Particle Method for Safety Problems

Mitsuteru Asai (Kyushu University), Moubin Liu(Peking University), Abbas Khayyer(Kyoto University), Min Luo(Zhejian University), Seiya Hagihara(Saga University), Seiichi Koshizuka(University of Tokyo)

Mesh-free and Mesh-less method have been developed in the field of computational mechanics by taking advantage of their robustness against dynamic changes in free surfaces and propagation of discontinuities for many kinds of safety problems. While the advantages of these methods derive from their meshless nature, these features can conversely pose difficulties in the treatment of boundary conditions and in problems of multiphase flows with high density ratios. The purpose of this organized session is to provide discussions for researchers of the mesh-free and mesh-less methods to share their recent knowledge and advanced insights. The topics are mathematical theory, discretization schemes, multi-resolution techniques, multi-physics analysis, boundary conditions, accuracy, adaptive analysis, parallel processing, large scale analysis, applications, verification and validation etc. for the mesh-free methods.

MS-15: Direct Computation of Safety Margins for Structures and Materials

Konstantinos V. Spiliopoulos (National Technical University of Athens), Geng Chen (Beijing Jiatong University)

A major task for mechanical and civil engineers is to evaluate the margins of safety of limit states against any type of loading that may cause severe inelastic deformations. Typical cases of such loads are thermo-mechanical actions, wind loading, or displacement induced loads like earthquakes, traffic, etc.

Plastic collapse is a limit state which coincides with the exhaustion of the load carrying capacity. Another important limit state is ‘shakedown’, related to structures, subjected to cyclic external actions. In this state, plastic straining occurs only during the first loading cycles.

‘Direct methods’ are non-evolutionary and computationally most efficient procedures to estimate the plastic collapse or the shakedown load of a structure, as they avoid cumbersome and time-consuming step-by-step analyses. Development of efficient numerical algorithms, highly performing optimization procedures, together with the advent of computer power, make them applicable to practical engineering. Steel and more complex material models for metals, concrete, composite and soil-like material have been accounted for with applications from buildings to pavements and railways and from pressure vessels to space capsules.

The aim of this Mini-symposium is to gather scientists researching in this area, who will present its state of the art to the wide international audience of COMPSAFE25.

Indicative publications
Spiliopoulos, K.V., Kapogiannis, I.A., ‘Fast and robust RSDM shakedown solutions of structures under cyclic variation of loads and imposed displacements’, Eur. J. Mech. A. Solids, Vol. 95, 2022, 104657.
Ponter, A., Weichert, D., ‘Direct Methods of Limit and Shakedown Analysis’ in: Encyclopedia of Comprehensive Structural Integrity (2nd ed.), Vol. 3, 2023, 429-489.

MS-16: Advances in Numerical Methods for Enhancing Safety and Resilience of Structures in Civil and Architectural Engineering

Takuzo Yamashita (National Research Institute for Earth Science and Disaster Resilience), Poh Leong Hien(National University of Singapore),Wei-Tze Chang(National Center for Research on Earthquake Engineering)

In the face of increasing natural disasters and external disturbances, ensuring the safety and resilience of urban structures is crucial. This mini-symposium aims to bring together researchers and engineers to discuss the latest advancements in numerical computation methods for damage prediction, damage control, structural analysis, and the design of buildings. We also welcome contributions on building resilience assessment, retrofit and strengthening techniques for existing structures, disaster response and recovery planning for buildings, smart and adaptive building systems, and hazard modeling and impact assessment related to building safety.

Contributions may explore a wide range of techniques, including but not limited to numerical analysis, simulation methods, data-driven approaches, machine learning, probabilistic approaches, optimization, structural health monitoring, and hybrid computational models. The focus is on applying these methods to improve the safety and performance of urban structures under various challenging conditions.

This symposium seeks to foster interaction between specialists in computational and structural engineering, encouraging the development of integrated, cutting-edge solutions that mitigate risks and enhance urban resilience. By sharing knowledge and innovations, we strive to contribute to the development of safer and more reliable urban infrastructure.

MS-17: Stochastic Simulation, Uncertainty Quantification, Verification and Validation

Mao Kurumatani (Ibaraki University), Kazumi Matsui (Yokohama National University), Naoki Takano (Keio University)

The aim of this mini-symposium is to exchange new ideas and to discuss recent progress in stochastic simulation, uncertainty quantification, verification and validation (V&V). Relevant domains of applications include, but are not restricted to, manufacturing process, civil engineering, mechanical engineering, advanced materials, biomechanics and biomedical engineering.

Some keywords are listed below, but any topic from different aspects and contributed talks on practical/industrial applications are welcome to this MS.

- Stochastic/probabilistic computational scheme
- Uncertainty modeling/quantification
- Verification and validation (V&V)
- Risk analysis/assessment
- Error estimation
- Sensitivity analysis
- Monte Carlo simulation
- Validation experiment

MS-18: Damage Evaluation and Structural Application of Cementitious Materials

Rena C Yu (University of Castilla-La Mancha), Zhimin Wu & Hui Jin (Zhejiang University of Science and Technology)

This minisymposium aims to bring together researchers, scientists, and practitioners focused on the analysis, assessment, repair, and reinforcement of cementitious materials under structural demands and environmental stresses. Cementitious materials, including concrete and mortar, are widely used in civil infrastructure and construction projects globally, often in critical applications that require enhanced durability, reliability, and safety. However, these materials are susceptible to various forms of damage and degradation due to mechanical loads, environmental exposure, and chemical interactions, which can impact the integrity and longevity of the structures they support.

The proposed minisymposium will explore recent advances in understanding and modeling the damage mechanisms of cementitious materials under diverse loading and environmental conditions, with an emphasis on both theoretical approaches and practical applications. Key topics will include the computational simulation of cracking, fatigue, and fracture; the interaction of cementitious materials with aggressive agents (e.g., chloride ions, freeze-thaw cycles); and strategies for enhancing material performance through innovative design and material science. Special focus will be given to bridge repair and reinforcement techniques, examining cutting-edge methods for strengthening existing concrete structures, retrofitting damaged infrastructure, and assessing the long-term effectiveness of various repair and reinforcement approaches in high-risk areas.

Case studies on the application of these materials in high-risk zones, such as earthquake-prone areas, and assessments of their long-term structural behavior in extreme environmental conditions will also be welcome. This minisymposium will provide an excellent platform for knowledge exchange and foster collaboration between academia and industry, helping to advance computational methods and experimental approaches for cementitious materials in line with the objectives of COMPSAFE2025. Through these discussions, we aim to contribute to the broader goals of disaster prevention and mitigation, structural safety, and the development of resilient infrastructure networks.

MS-19: Advancements in Machine Learning for Fluid Dynamics

Renato Miotto (University of Campinas) and William Wolf (University of Campinas)

In recent years, machine learning has emerged as a transformative tool in the field of fluid dynamics, enabling significant advances across a range of applications, including reduced-order modeling, flow control, pattern recognition, feature classification, and turbulence modeling, among others. This mini-symposium will explore how machine learning techniques are being leveraged to deepen our understanding of fluid flows. We welcome contributions that address applications in computational fluid dynamics (CFD), experimental studies, and theoretical analyses.

MS-20: Simulation-based Disaster Prediction and Mitigation

Ha H. Bui (Monash University), J. S. Chen (University of California San Diego), Jinhyun Choo (Korea Advanced Institute of Science & Technology), Tsung-Hui "Alex" Huang (National Tsing Hua University), Antonia Larese (University of Padova), Kuan-Chung Lin (National Cheng Kung University), Kenjiro Terada (Tohoku University)

In recent years, natural disasters have frequently happened worldwide due to earthquake, tsunami, land sliding, debris flow, to name a few. These disasters pose severe threat and damage to our living environment, and the disaster predication and mitigation have become a timely research topic for safeguarding our society. One effective approach for the disaster predication and mitigation is the computer simulations with robust numerical algorithms. This symposium aims to promote collaboration among academic researchers and industrial engineers in developing and applying advanced numerical methods for disaster predication and mitigation. Those who have been working on in the related fields are cordially invited to exchange their ideas and research results in this minisymposium. Presentations are solicited in all subjects related to numerical disaster simulation, which include but are not limited to the followings:

• Advanced disaster simulation methods such as finite element methods, meshfree and particle methods, material point method, peridynamics, discrete element methods, etc.
• Constitutive modeling and data-driven computing for modeling disaster debris
• Reduced order modeling and high-performance computing
• Fluid-structure interaction in disaster dynamics
• Multi-physics multi-scale disaster simulation
• Infrastructure digital twins for natural disaster protection
• Numerical algorithm implementation and simulation software development
• Other related subjects

MS-21: Mathematical Modelling and Simulation for Social, Environmental, and Disaster Prevention Issues

S. Yoshimura (University of Tokyo), K. Kashiyama (Chuo University), H. Fujii (University of Tokyo), T. Ichimura (University of Tokyo), E. Kita (Nagoya University)

Large -scale disasters have a great influence on social infrastructure such as buildings and roads, and also change the industrial structure of agriculture and industry. Therefore, the issues related to society, environment, and disaster prevention are large -scale and complex phenomena. To analyse these phenomena, it is necessary to develop the mathematical modelling and simulation technique at the same time. Since the progress of machine learning and deep learning methods is remarkable, these techniques may give a new solution to the large-scale disasters.

This session is planned to exchange opinions on modeling methods and simulation methods by related researchers. We will expect that many researchers who are interested in the related fields attend.

MS-22: Innovative CAE for Vehicle Development and Cross-industry Applications toward Safety and Sustainability

Makoto Tsubokura (Kobe University), Chenguang Lai (Chongqing University of Technology), Thomas Indinger (Technical University of Munich)

This mini-symposium, "Innovative CAE for Vehicle Development and Cross-Industry Applications toward Safety and Sustainability," explores the latest advancements in computational engineering, focusing primarily on the automotive sector while addressing challenges relevant to industries such as aerospace, energy, and manufacturing.

The symposium will emphasize the integration of data science techniques, including AI and machine learning, to enhance simulation accuracy and predictive capabilities. Discussions will also highlight innovative simulation methodologies designed to overcome the limitations of traditional experiments, enabling the evaluation of complex real-world scenarios such as crash safety and energy optimization.

By advancing these cutting-edge approaches, the symposium aims to drive progress in developing safer and more sustainable technologies for the automotive industry and beyond, ultimately contributing to a better future for society and the environment.

MS-23: Computational Fluid and Particle Dynamics of the Nose and Airway in Association with SCONA

Kiao Inthavong (RMIT University), Kazuhide Ito (Kyushu University), Narinder Singh (University of Sydney)

Computational Fluid and Particle Dynamics (CFPD) uses highly sophisticated computer algorithms to simulate the flow of air and particles through complex 3D structures in an accurate, reproducible and scientific manner.

In recent years, researchers have begun to explore the use of CFPD in the nose and airway, firstly by modelling airflow patterns, calculating changes in temperature and pressure, and measuring wall shear stress. Next, researchers studied common abnormalities, such as septal deviation, septal perforations and inferior turbinate hypertrophy. Recently, CFPD has been used to model and predict the effects of surgery and therapeutic interventions.

It has become clear that CFPD is a disruptive technology that is fundamentally changing our understanding of airflow in the human respiratory system and our approach to surgical procedures.

This mini-symposium will discuss the latest researches on airflow and particle dispersion in the nose and airway, and virtual surgery using CFPD technology.

MS-24: High Performance Computing for Environmental Problems

Takashi Shimokawabe (University of Tokyo), Lutz Gross (The University of Queensland), Hiroshi Okuda (University of Tokyo), Gabriel Wittum (Goethe University Frankfurt), Ryuji Shioya (Toyo University)

Efficient computational solution of high fidelity large-scale problems in computational science and engineering is still a major challenge. Complex applications include difficulties such as transient problems with widely varying time and spatial scales, strongly coupled multiphysics, heterogeneous media, nonlinearlities, etc. The development of efficient linear system solvers for these classes of problems has many challenges, especially for high fidelity large-scale simulations. This minisymposium will focus on high performance computing, parallel computing, large scale problems, highly scalable preconditioners, e.g. multigrid or domain decomposition approaches, multiphysics solvers, nonlinear preconditioning, multiscale solvers for heterogeneous problems or space-time solvers and related topics for environmental problems. Contributions discussing algorithms that can exploit many-core processors and accelerators are also welcomed.