Predictive Modeling of Dynamic Processes

Successfully blending basics of material modeling, crash simulation and impact engineering, this volume fills a gap in the current competing literature available.

Predictive Modeling of Dynamic Processes

Predictive Modeling of Dynamic Processes provides an overview of hydrocode technology, applicable to a variety of industries and areas of engineering design. Covering automotive crash, blast impact, and hypervelocity impact phenomena, this volume offers readers an in-depth explanation of the fundamental code components. Chapters include informative introductions to each topic, and explain the specific requirements pertaining to each predictive hydrocode. Successfully blending crash simulation, hydrocode technology and impact engineering, this volume fills a gap in the current competing literature available.

Predictive Modeling of Dynamic Processes

Successfully blending basics of material modeling, crash simulation and impact engineering, this volume fills a gap in the current competing literature available.

Predictive Modeling of Dynamic Processes

This work provides an overview of hydrocode technology, applicable to a variety of industries and areas of engineering design. It successfully blends crash simulations with hydrocode technology, and offers an explanation of the fundamental code components.

High Speed Penetration Dynamics

Dimensioning of concrete walls against small calibre impact including models for deformable penetrators and the scattering of experimental results In: Hiermaier, A.S., ed. Predictive Modeling of Dynamic Processes.

High Speed Penetration Dynamics

This important monograph is the first comprehensive compendium of engineering models used in high-speed penetration mechanics. The book consists of two parts. The first part (more than a quarter of the book's content) is in fact a handbook giving a very detailed summary of the engineering models used for the analysis of high-speed penetration of rigid projectiles into various media (concrete, metals, geological media). The second part of the book demonstrates the possibilities and efficiency of using approximate models for investigating traditional and nontraditional problems of penetration mechanics. Different chapters in the books are devoted to different classes of problems and can be read independently. Each chapter is self-contained, which includes a comprehensive literature survey of the topic, and carries a list of used notations. The bibliography includes more than 700 references. This monograph is a reliable and indispensable reference guide for anyone interested in using engineering models in high-speed penetration mechanics. Contents:Some Conventional Approaches to Penetration Modeling:Localized Interaction Models (LIMs)Cavity Expansion ApproximationsPenetration into Concrete Shields:Empirical ModelsAnalytical ModelsPenetration into Metallic Shields:Empirical ModelsAnalytical ModelsPenetration into Geological Shields:Empirical ModelsAnalytical ModelsSome Special Inverse Problems:Theoretical Basis of the MethodApplication to Penetration MechanicsMethod of Basic Impactors for Prediction of Penetration and Perforation:Simplified Version of the MethodComplete Version of the MethodShape Optimization of Impactors:SurveyPenetration with Non-Constant FrictionSemi-Infinite Concrete ShieldsMetal Shields with a Finite ThicknessFiber Reinforced Plastic LaminatesEffectiveness of Segmented Impactors:High-Speed Impact. Simplified Discrete ModelHigh-Speed Impact. Generalized Discrete and Continuous ModelsHypervelocity ImpactModeling and Optimal Control of Impactors with Jet Thruster:Application of Two-Term Model of PenetrationApplication of the Modified Young ModelEffect of Order of Plates, Layering and Spacing on Protective Properties of Ductile Shields:SurveyEffect of Spacing for Non-Conical Impactors. Numerical SimulationEffect of Order of Plates for Non-Conical Impactors. Numerical SimulationEffect of Layering. Theoretical AnalysisOptimization of Multi-Layer ShieldsSome Optimization Problems for Non-Homogeneous Non-Ductile Shields:Optimization of Reinforced Concrete Panels with Steel LinerOptimization of Two-Component Armor against Single and Repeated ImpactsAppendix:Properties of Convex/Concave Increasing Positive Functions Readership: Professionals, academics, researchers and graduate students in engineering mechanics, mechanical engineering, materials science, civil engineering and ocean engineering. Keywords:Impact;Penetration;Perforation;Impactor;Projectile;High Speed;Target;Rod;Cavity Expansion;Armor;Jet ThrusterReviews: “Because there are very few books on this topic, if you are interested in this research area, this is definitely an interesting book.” IEEE Electrical Insulation Magazine

Process and Plant Safety

Tenth international colloquium on dynamics of explosions and reactive systems, Berkeley, California. ... dynamic instabilities and pressure fluctuations in the near field of a detonation, in Predictive Modeling of Dynamic Processes (ed.

Process and Plant Safety

The safe operation of plants is of paramount importance in the chemical, petrochemical and pharmaceutical industries. Best practice in process and plant safety allows both the prevention of hazards and the mitigation of consequences. Safety Technology is continuously advancing to new levels and Computational Fluid Dynamics (CFD) is already successfully established as a tool to ensure the safe operation of industrial plants. With CFD tools, a great amount of knowledge can be gained as both the necessary safety measures and the economic operation of plants can be simultaneously determined. Young academics, safety experts and safety managers in all parts of the industry will henceforth be forced to responsibly judge these new results from a safety perspective. This is the main challenge for the future of safety technology. This book serves as a guide to elaborating and determining the principles, assumptions, strengths, limitations and application areas of utilizing CFD in process and plant safety, and safety management. The book offers recommendations relating to guidelines, procedures, frameworks and technology for creating a higher level of safety for chemical and petrochemical plants. It includes modeling aids and concrete examples of industrial safety measures for hazard prevention.

Modelling and Simulation of Sheet Metal Forming Processes

In Predictive Modeling of Dynamic Processes; Springer: Boston, MA, USA, 2009; pp. 43–65. Lian, J.; Baudelet, B. Forming limit diagram of sheet metal in the negative minor strain region. Mater. Sci. Eng. 1987, 86, 137–144.

Modelling and Simulation of Sheet Metal Forming Processes

The numerical simulation of sheet metal forming processes has become an indispensable tool for the design of components and their forming processes. This role was attained due to the huge impact in reducing time to market and the cost of developing new components in industries ranging from automotive to packing, as well as enabling an improved understanding of the deformation mechanisms and their interaction with process parameters. Despite being a consolidated tool, its potential for application continues to be discovered with the continuous need to simulate more complex processes, including the integration of the various processes involved in the production of a sheet metal component and the analysis of in-service behavior. The quest for more robust and sustainable processes has also changed its deterministic character into stochastic to be able to consider the scatter in mechanical properties induced by previous manufacturing processes. Faced with these challenges, this Special Issue presents scientific advances in the development of numerical tools that improve the prediction results for conventional forming process, enable the development of new forming processes, or contribute to the integration of several manufacturing processes, highlighting the growing multidisciplinary characteristic of this field.

Predictive Maintenance in Dynamic Systems

prediction models for the various relevant targets (i.e., objectives and constraints) of the production process. For example, in the case of a micro-fluidic chip production process (which is the main focus of our case study), ...

Predictive Maintenance in Dynamic Systems

This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.

Engineering Models In High speed Penetration Mechanics And Their Applications In 2 Volumes

Predictive Modeling of Dynamic Processes. A Tribute to Professor Klaus Thoma. Spinger, pp. 189–219. [Børvik et al., 2010] Børvik, T., Forrestal, M.J., Warren, T.L. (2010). Perforation of 5083-H116 aluminum armor plates with ogive-nose ...

Engineering Models In High speed Penetration Mechanics And Their Applications  In 2 Volumes

This two-volume, 1100 pages, 38 chapters book is a significantly expanded, revised and updated version of the monograph by the authors published in 2013 (Ben-Dor, G, Dubinsky, A, Elperin, T, 'High Speed Penetration Dynamics: Engineering Models and Methods,' Singapore: World Scientific Publishing Company). The contents increased by 60%, the number of titles in bibliography doubled and reached 1600; and the scope covers a range of new topics related to hypervelocity penetration, along with high-speed impact.Presented material is structured into two parts. The first part includes description and analysis of practically all known engineering models for calculating high-speed penetration of projectiles into concrete, metals, geological shields, adobe, and gelatine.The second part focuses on the use of approximate models for solving conventional and non-standard problems of penetration mechanics including prediction and optimization of protective properties of monolithic and multi-layered shields against high-speed projectiles and space debris; shape optimization of high-speed projectiles penetrating into various media; modelling of penetration and optimal control of penetrators equipped with jet thrusters; and investigation of the efficiency and optimization of segmented projectiles. The book includes comprehensive overviews on basic classes of problems in high-speed penetration mechanics.This is a indispensable reference guide for scientists, engineers, and students specializing in the field of high-speed and hypervelocity penetration mechanics.

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Process Systems Engineering: Vol. 7. Dynamic Process Modeling. John Wiley & Sons. Rader, D. J. (2010). Deterministic operations research: models and methods in linear optimization. John Wiley & Sons. Roshandel, R., & Parhizkar ...

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.

Progress in Relativity

Cranfield University; 2007 [21] Vignjevic R. Review of development of the smooth particle hydrodynamics (SPH) method. In: Predictive Modeling of Dynamic Processes. UK: Cranfield University; 2009. pp. 367-396 [22] Abaqus documentation ...

Progress in Relativity

This volume deals with extensions of special relativity, general relativity, and their applications in relation to intragalactic and extragalactic dynamics. The book comprises chapters authored by various researchers and edited by an expert active in the relativity research area. It provides a thorough overview of the latest research efforts by international authors on relativity, opening new possible research paths for further novel developments.

Advances in Ceramic Armor VIII

”S. Chocron and C. E. Anderson, Jr, Numerical simulations of the penetration of glass using two pressure-dependent constitutive models, in Predictive Modeling of Dynamic Processes: A Tribute to Klaus Thoma, (S. Hiermaier, Ed.), pp.

Advances in Ceramic Armor VIII

The manuscripts contained in this issue of Ceramic Engineering and Science Proceedings were selected from among the more than seventy presentations at the Armor Ceramics Symposium. The discussions are divided into three sections: Modeling and dynamic behavior, Transparent materials, and Opaque materials. Conducted during the 36th annual International Conference on Advanced Ceramics and Composites (ICACC), this event is one of the premier global conferences for the latest developments in the fabrication, characterization, and application of ceramic materials to meet the needs of the military, police, and other public defense, security, and protection organizations.

Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes

Numerical simulation of a pulsatory flow moving through flexible walls using smoothed particle hydrodynamics. In: Proceedings of the World Congress on ... In: Predictive Modeling of Dynamic Processes. Springer, US, pp. 367e396.

Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes

Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes covers new and exciting modeling methods to help bioengineers tackle problems for which the Finite Element Method is not appropriate. The book covers a wide range of important subjects in the field of numerical methods applied to biomechanics, including bone biomechanics, tissue and cell mechanics, 3D printing, computer assisted surgery and fluid dynamics. Modeling strategies, technology and approaches are continuously evolving as the knowledge of biological processes increases. Both theory and applications are covered, making this an ideal book for researchers, students and R&D professionals. Provides non-conventional analysis methods for modeling Covers the Discrete Element Method (DEM), Particle Methods (PM), MessLess and MeshFree Methods (MLMF), Agent-Based Methods (ABM), Lattice-Boltzmann Methods (LBM) and Boundary Integral Methods (BIM) Includes contributions from several world renowned experts in their fields Compares pros and cons of each method to help you decide which method is most applicable to solving specific problems

An Unrestricted Closed form Exact Solution to Hammerstein and Wiener Systems

However, because the restricted BEST solution is valid only under specific conditions, this work proposes a modified solution that overcomes the restrictions of Rollins et al. (2003).

An Unrestricted Closed form Exact Solution to Hammerstein and Wiener Systems

Rollins et al. (2003) introduced a multiple input, multiple output semi-empirical predictive modeling technique for nonlinear dynamic processes known the Block-oriented Exact Solution Technique (BEST). This methodology is based on closed-form continuous-time exact solutions for Hammerstein (H-BEST) and Wiener (W-BEST) systems and currently, this method can utilize two different exact solutions: a closed-form restricted solution and a classical unrestricted solution. The attractiveness of this restricted solution is that it only depends on one previous input change for output prediction and unlike the classical solution, it depends on all the input values. However, because the restricted BEST solution is valid only under specific conditions, this work proposes a modified solution that overcomes the restrictions of Rollins et al. (2003). This thesis presents the derivation of the unrestricted BEST solution under step input changes for both Hammerstein and Wiener systems. The performance of this solution is illustrated on both true Hammerstein and Wiener processes with two inputs and one output, respectively. For true Hammerstein and Wiener systems, the unrestricted solution is exact. The evaluation of this solution is also extended to a simulated continuous stirred tank reactor (CSTR) process that is approximated by Hammerstein and Wiener structures depending on the nonlinearity of the dynamic behavior and are both presented in this thesis. These two physical processes are taken from published articles so that comparison study can be done. In all the studies, the proposed unrestricted solution performs as well as the classical solution but does not require all the previous input changes.

Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells

Dynamic process models may be broadly classified intolinearand nonlinearmodels.Linearmodels can further be classified into parametric and nonparametric models. A general parametric model is given by Ljung (1999): 3.41 where is the ...

Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells

The high temperature solid oxide fuel cell (SOFC) is identified as one of the leading fuel cell technology contenders to capture the energy market in years to come. However, in order to operate as an efficient energy generating system, the SOFC requires an appropriate control system which in turn requires a detailed modelling of process dynamics. Introducting state-of-the-art dynamic modelling, estimation, and control of SOFC systems, this book presents original modelling methods and brand new results as developed by the authors. With comprehensive coverage and bringing together many aspects of SOFC technology, it considers dynamic modelling through first-principles and data-based approaches, and considers all aspects of control, including modelling, system identification, state estimation, conventional and advanced control. Key features: Discusses both planar and tubular SOFC, and detailed and simplified dynamic modelling for SOFC Systematically describes single model and distributed models from cell level to system level Provides parameters for all models developed for easy reference and reproducing of the results All theories are illustrated through vivid fuel cell application examples, such as state-of-the-art unscented Kalman filter, model predictive control, and system identification techniques to SOFC systems The tutorial approach makes it perfect for learning the fundamentals of chemical engineering, system identification, state estimation and process control. It is suitable for graduate students in chemical, mechanical, power, and electrical engineering, especially those in process control, process systems engineering, control systems, or fuel cells. It will also aid researchers who need a reminder of the basics as well as an overview of current techniques in the dynamic modelling and control of SOFC.

On the Time and Temperature Dependent Behaviour of Laminated Amorphous Polymers Subjected to Low Velocity Impact

(2014): A visco-hyperelastic constitutive model for rubber-like materials: A rate-dependent relaxation time ... (2009): Simulation of recoverable foams under impact loading, in: Predictive Modeling of Dynamic Processes, Springer, pp.

On the Time and Temperature Dependent Behaviour of Laminated Amorphous Polymers Subjected to Low Velocity Impact

The thesis investigates a polymeric laminate consisting of poly(methyl methacrylate) (PMMA) and thermoplastic polyurethane (TPU) experimentally and numerically with regard to its impact behaviour and applicability. After a basic characterization of the monolithic materials, PMMA-TPU-PMMA laminates were subjected to impact loadings at velocities up to 5 m/s using threepoint bending and dart impact tests. Based on the experimental basis, different material models for the Finite Element simulation are presented, which are able to capture the time and temperature dependent behaviour of the laminate. Final validation experiments, consisting of head-dummy impacts at 10 m/s on automotive side windows, were conducted for PMMA and the laminate in order to investigate their applicability as glass substitution products.

GIS and Archaeological Site Location Modeling

Ideally, predictive modeling is a dynamic process that provides more than just a static map that is outdated as soon as new data become available. The issue of uncertainty in the accuracy of available information affects confidence in ...

GIS and Archaeological Site Location Modeling

Although archaeologists are using GIS technology at an accelerating rate, publication of their work has not kept pace. A state-of-the-art exploration the subject, GIS and Archaeological Site Location Modeling pulls together discussions of theory and methodology, scale, data, quantitative methods, and cultural resource management and uses loc

Thermo and Fluid dynamic Processes in Diesel Engines

Development of an Integrated Spray and Combustion Model for Diesel Simulations S - Ch . Kong , C.J. Rutland and R.D. Reitz ... To successfully simulate the engine combustion process , predictive sub - models are needed to describe the ...

Thermo and Fluid dynamic Processes in Diesel Engines

This volume includes versions of papers selected from those presented at the THIESEL 2000 Conference on Thermofluidynamic Processes in Diesel Engines, held at the Universidad Politecnica de Valencia, during the period of September th th 13 to 15 , 2000. The papers are grouped into seven thematic areas: State of the Art and Prospective, Fuels for Diesel Engines, Injection System and Spray Formation, Combustion and Pollutant Formation, Modelling, Experimental Techniques, and Air Management. These areas cover most of the technologies and research strategies that may allow Light Duty and Heavy Duty Diesel engines to comply with current and forthcoming emission standards, while maintaining or improving fuel consumption. The main objectives of the conference were to bring together ideas and experience from Industry and Universities to facilitate interchange of information and to promote discussion of future research and development needs. The technical papers emphasised the use diagnostic and simulation techniques and their relationship to engineering practice and the advancement of the Diesel engine. We hope that this approach, which proved to be successful at the Conference, is reflected in this volume. We thank all those who contributed to the success of the Conference, and particularly the members of the Advisory Committee who assessed abstracts and chaired many of the technical sessions. Weare also grateful to participants who presented their work or contributed to the many discussions. Finally, the Conference benefitted from financial support from the organisations listed below and we are glad to have this opportunity to record our gratitude.

Predictive Modeling of Pharmaceutical Unit Operations

In surrogate-based methods, a computationally expensive process model is replaced by a reduced-order surrogate approximation. ... is particularly useful, as it can model highly nonlinear, noisy, and dynamic processes (Kleijnen, 2009).

Predictive Modeling of Pharmaceutical Unit Operations

The use of modeling and simulation tools is rapidly gaining prominence in the pharmaceutical industry covering a wide range of applications. This book focuses on modeling and simulation tools as they pertain to drug product manufacturing processes, although similar principles and tools may apply to many other areas. Modeling tools can improve fundamental process understanding and provide valuable insights into the manufacturing processes, which can result in significant process improvements and cost savings. With FDA mandating the use of Quality by Design (QbD) principles during manufacturing, reliable modeling techniques can help to alleviate the costs associated with such efforts, and be used to create in silico formulation and process design space. This book is geared toward detailing modeling techniques that are utilized for the various unit operations during drug product manufacturing. By way of examples that include case studies, various modeling principles are explained for the nonexpert end users. A discussion on the role of modeling in quality risk management for manufacturing and application of modeling for continuous manufacturing and biologics is also included. Explains the commonly used modeling and simulation tools Details the modeling of various unit operations commonly utilized in solid dosage drug product manufacturing Practical examples of the application of modeling tools through case studies Discussion of modeling techniques used for a risk-based approach to regulatory filings Explores the usage of modeling in upcoming areas such as continuous manufacturing and biologics manufacturingBullet points

Approaching Death

Changes in patient clinical statusadd valuable informationto predictive modeling.Several recent model development efforts incorporate this dynamic process (see Chang, 1989,and Lemeshow, 1988).Further developments intime dependent models ...

Approaching Death

When the end of life makes its inevitable appearance, people should be able to expect reliable, humane, and effective caregiving. Yet too many dying people suffer unnecessarily. While an "overtreated" dying is feared, untreated pain or emotional abandonment are equally frightening. Approaching Death reflects a wide-ranging effort to understand what we know about care at the end of life, what we have yet to learn, and what we know but do not adequately apply. It seeks to build understanding of what constitutes good care for the dying and offers recommendations to decisionmakers that address specific barriers to achieving good care. This volume offers a profile of when, where, and how Americans die. It examines the dimensions of caring at the end of life: Determining diagnosis and prognosis and communicating these to patient and family. Establishing clinical and personal goals. Matching physical, psychological, spiritual, and practical care strategies to the patient's values and circumstances. Approaching Death considers the dying experience in hospitals, nursing homes, and other settings and the role of interdisciplinary teams and managed care. It offers perspectives on quality measurement and improvement, the role of practice guidelines, cost concerns, and legal issues such as assisted suicide. The book proposes how health professionals can become better prepared to care well for those who are dying and to understand that these are not patients for whom "nothing can be done."

Failure Mechanisms in Alloys

Haufe, A.; Feucht, M.; Neukamm, F. The Challenge to Predict Material Failure in Crashworthiness Applications: Simulation of Producibility to Serviceability. In Predictive Modeling of Dynamic Processes: A Tribute to Professor Klaus Thoma ...

Failure Mechanisms in Alloys

The era of lean production and excellence in manufacturing, advancing with sustainable development, demands the rational utilization of raw materials and energy resources, adopting cleaner and environmentally-friendly industrial processes. In view of the new industrial revolution, through digital transformation, the exploitation of smart and sophisticated materials systems, the need of minimizing scrap and increasing efficiency, reliability and lifetime and, on the other hand, the pursuit of fuel economy and limitation of carbon footprint, are necessary conditions for the imminent growth in a highly competitive economy. Failure analysis is an interdisciplinary scientific topic, reflecting the opinions and interpretations coming from a systematic evidence-gathering procedure, embracing various important sectors, imparting knowledge, and substantiating improvement practices. The deep understanding of material/component role (e.g., rotating shaft, extrusion die, gas pipeline) and properties will be of central importance for fitness for purpose in certain industrial processes and applications. Finally, it is hoped and strongly believed that the accumulation of additional knowledge in the field of failure mechanisms and the adoption of the principles, philosophy, and deep understanding of failure analysis process approach will strongly promote the learning concept, as a continuously evolving process leading to personal and social progress and prosperity.

1991 Integrated Technology Plan for the Civil Space Program

Research efforts in this area emphasize rocket engine combustion stability and turbomachinery internal fluid and dynamic processes , including predictive modeling . In addition , extremely high performance low thrust electric propulsion ...

1991 Integrated Technology Plan for the Civil Space Program