This proceedings book covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and science. It explores uncertainties in numerical simulations for soil liquefaction potential, the toughness properties of construction materials, experimental tests on cyclic liquefaction potential, and the estimation of geotechnical engineering properties for aerogenerator foundation design. Additionally, the book delves into uncertainties in concrete compressive strength, bio-inspired shape optimization using isogeometric analysis, stochastic damping in rotordynamics, and the hygro-thermal properties of raw earth building materials. It also addresses dynamic analysis with uncertainties in structural parameters, reliability-based design optimization of steel frames, and calibration methods for models with dependent parameters. The book further explores mechanical property characterization in 3D printing, stochastic analysis in computational simulations, probability distribution in branching processes, data assimilation in ocean circulation modeling, uncertainty quantification in climate prediction, and applications of uncertainty quantification in decision problems and disaster management. This comprehensive collection provides insights into the challenges and solutions related to uncertainty in various scientific and engineering contexts.

This proceedings book discusses state-of-the-art research on uncertainty quantification in mechanical engineering, including statistical data concerning the entries and parameters of a system to produce statistical data on the outputs of the system. It is based on papers presented at Uncertainties 2020, a workshop organized on behalf of the Scientific Committee on Uncertainty in Mechanics (Mécanique et Incertain) of the AFM (French Society of Mechanical Sciences), the Scientific Committee on Stochastic Modeling and Uncertainty Quantification of the ABCM (Brazilian Society of Mechanical Sciences) and the SBMAC (Brazilian Society of Applied Mathematics).

This proceedings book covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and science. It explores uncertainties in numerical simulations for soil liquefaction potential, the toughness properties of construction materials, experimental tests on cyclic liquefaction potential, and the estimation of geotechnical engineering properties for aerogenerator foundation design. Additionally, the book delves into uncertainties in concrete compressive strength, bio-inspired shape optimization using isogeometric analysis, stochastic damping in rotordynamics, and the hygro-thermal properties of raw earth building materials. It also addresses dynamic analysis with uncertainties in structural parameters, reliability-based design optimization of steel frames, and calibration methods for models with dependent parameters. The book further explores mechanical property characterization in 3D printing, stochastic analysis in computational simulations, probability distribution in branching processes, data assimilation in ocean circulation modeling, uncertainty quantification in climate prediction, and applications of uncertainty quantification in decision problems and disaster management. This comprehensive collection provides insights into the challenges and solutions related to uncertainty in various scientific and engineering contexts.

The Natech symposium has been taking place since 2015, as an initiative of professors Naomi Kato, Shin-ichi Aoki and Ana María Cruz, from Osaka University and Kyoto University respectively. The primary objective of these symposiums has been the promotion of scientific and interdisciplinary exchange of experiences, risk assessment methods and innovative risk reduction measures that address Natech events (industrial accidents caused by large-scale natural events). In its different versions it has had researchers and participants from different countries, allowing the integration of initiatives and efforts that have been developed in this regard. The first symposium was held in March 2015 at Osaka University, and was entitled: International Symposium on Natural Disaster Impacts to Large Industrial Parks, it was funded by the Graduate School of Osaka University, the Airport and Port Research Institute (SIP), the Disaster Prevention Research Institute, and Kyoto University, in cooperation with the Calamity Science Institute.The second version of the event entitled: Activities of Research Initiatives for Natural Disaster Prevention of Oil and Gas Spill in Industrial Parks was held again at Osaka University in 2016. In March 2017, symposium number three was organized by the Disaster Prevention Research Institute (DPRI) and took place at Kyoto University. On this occasion, it was approached from the perspective of a workshop on Natech risk management tools, with the aim of making a practical demonstration of some tools available for Natech risk assessment, risk mitigation and emergency operations’ planning for various types of natural hazards. The workshop was attended by participants from 12 countries, including experts, students and stakeholders involved in Natech disaster risk reduction and similar topics. During 2018, the event moved to Ispra, Italy, where the Joint Research Center (JRC) of the European Commission and the University of Bologna were the hosts. On this occasion, the fourth event was named Natech Risk Reduction at Large Industrial Parks. The fifth version of the Natech symposium was held in 2021, again organized by Osaka University and Kyoto University. On this occasion, given the restrictions derived from the COVID-19 pandemic, the event was held virtually. Currently, the publication of two volumes in the IDRIM Springer Nature Book Series is being issued, which will be released by the end of 2022. This year (2022) Colombia was the host country of the sixth version of the Natech symposium, which was developed in a hybrid way (face-to-face and virtual), being the first time that this event is held in the American continent. On this occasion, the organizers of the event were the National Unit for Disaster Risk Management (UNGRD), Osaka University, Kyoto University and the Disaster Prevention Research Institute (DPRI). This event focused on the exchange of research experiences and lessons learned related to risk management of technological accidents triggered by natural events (Natech), for their understanding and approach in the Colombian territory.

The papers in this volume focus on the following topics: design optimization and inverse problems, numerical optimization techniques,efficient analysis and reanalysis techniques, sensitivity analysis and industrial applications. The conference EngOpt brings together engineers, applied mathematicians and computer scientists working on research, development and practical application of optimization methods in all engineering disciplines and applied sciences.

Topics in Modal Analysis, Volume 7: Proceedings of the 31st IMAC, A Conference and Exposition on Structural Dynamics, 2013, the seventh volume of seven from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Fluid Structure Interaction Adaptive Structures Experimental Techniques Analytical Methods Damage Detection Damping of Materials & Members Modal Parameter Identification Modal Testing Methods System Identification Active Control Modal Parameter Estimation Processing Modal Data

This book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing. Every year BDIoT attracted researchers from all over the world, and this year was not an exception – the authors received 98 submissions from 7 countries. More importantly, there were participants from many countries, which indicates that the conference is truly gaining more and more international recognition as it brought together a vast number of specialists who represented the aforementioned fields and share information about their newest projects. Since the authors strived to make the conference presentations and proceedings of the highest quality possible, the authors only accepted papers that presented the results of various investigations directed to the discovery of new scientific knowledge in the area of Big Data, IoT and their applications. All the papers were reviewed and selected by the Program Committee, which comprised 96 reviewers from over 58 academic institutions. As usual, each submission was reviewed following a double process by at least two reviewers. When necessary, some of the papers were reviewed by three or four reviewers. Authors’ deepest thanks and appreciation go to all the reviewers for devoting their precious time to produce truly through reviews and feedback to the authors.