Computational Inverse Techniques In Nondestructive Evaluation
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Author |
: G.R. Liu |
Publisher |
: CRC Press |
Total Pages |
: 592 |
Release |
: 2003-06-27 |
ISBN-10 |
: 9780203494486 |
ISBN-13 |
: 0203494482 |
Rating |
: 4/5 (86 Downloads) |
Synopsis Computational Inverse Techniques in Nondestructive Evaluation by : G.R. Liu
Ill-posedness. Regularization. Stability. Uniqueness. To many engineers, the language of inverse analysis projects a mysterious and frightening image, an image made even more intimidating by the highly mathematical nature of most texts on the subject. But the truth is that given a sound experimental strategy, most inverse engineering problems can b
Author |
: Zhenhan Yao |
Publisher |
: 清华大学出版社有限公司 |
Total Pages |
: 712 |
Release |
: 2004 |
ISBN-10 |
: 7302093415 |
ISBN-13 |
: 9787302093411 |
Rating |
: 4/5 (15 Downloads) |
Synopsis Computational Mechanics by : Zhenhan Yao
Author |
: Michele Lynn Joyner |
Publisher |
: |
Total Pages |
: 158 |
Release |
: 2001 |
ISBN-10 |
: OCLC:47212486 |
ISBN-13 |
: |
Rating |
: 4/5 (86 Downloads) |
Synopsis An Application of a Reduced Order Computational Methodology for Eddy Current Based Nondestructive Evaluation Techniques by : Michele Lynn Joyner
Keywords: Reduced order proper orthogonal decomposition method, Nondestructive evaluation, Inverse problems.
Author |
: Michele L. Joyner |
Publisher |
: |
Total Pages |
: 24 |
Release |
: 2000 |
ISBN-10 |
: NASA:31769000711070 |
ISBN-13 |
: |
Rating |
: 4/5 (70 Downloads) |
Synopsis Nondestructive Evaluation Using a Reduced Order Computational Methodology by : Michele L. Joyner
This paper uses eddy current based techniques and reduced order modeling to explore the feasibility of detecting a subsurface damage in structures such as air foils and pipelines. To identify the geometry of a damage, an optimization algorithm is employed which requires solving the forward problem numerous times. To implement these methods in a practical setting, the forward algorithm must be solved with extremely fast and accurate solution methods. Therefore, our computational methods are based on the reduced order Karhunen-Loeve or Proper Orthogonal Decomposition (POD) techniques. For proof-of-concept, we implement the methodology on a 2-D problem and find the methods to be efficient and robust even with data containing 10% relative noise. Furthermore, the methods are fast; our findings suggest we can reduce the computational time on average by a factor of 3000.
Author |
: Jaan Janno |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 161 |
Release |
: 2011-08-27 |
ISBN-10 |
: 9783642215841 |
ISBN-13 |
: 364221584X |
Rating |
: 4/5 (41 Downloads) |
Synopsis Microstructured Materials: Inverse Problems by : Jaan Janno
Complex, microstructured materials are widely used in industry and technology and include alloys, ceramics and composites. Focusing on non-destructive evaluation (NDE), this book explores in detail the mathematical modeling and inverse problems encountered when using ultrasound to investigate heterogeneous microstructured materials. The outstanding features of the text are firstly, a clear description of both linear and nonlinear mathematical models derived for modelling the propagation of ultrasonic deformation waves, and secondly, the provision of solutions to the corresponding inverse problems that determine the physical parameters of the models. The data are related to nonlinearities at both a macro- and micro- level, as well as to dispersion. The authors’ goal has been to construct algorithms that allow us to determine the parameters within which we are required to characterize microstructure. To achieve this, the authors not only use conventional harmonic waves, but also propose a novel methodology based on using solitary waves in NDE. The book analyzes the uniqueness and stability of the solutions, in addition to providing numerical examples.
Author |
: Yuan Cheng |
Publisher |
: Springer Nature |
Total Pages |
: 231 |
Release |
: 2021-03-26 |
ISBN-10 |
: 9783030683108 |
ISBN-13 |
: 3030683109 |
Rating |
: 4/5 (08 Downloads) |
Synopsis Artificial Intelligence for Materials Science by : Yuan Cheng
Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.
Author |
: Gui-rong Liu |
Publisher |
: World Scientific |
Total Pages |
: 288 |
Release |
: 2023-12-27 |
ISBN-10 |
: 9789811280023 |
ISBN-13 |
: 9811280029 |
Rating |
: 4/5 (23 Downloads) |
Synopsis Gradient Smoothing Methods With Programming: Applications To Fluids And Landslides by : Gui-rong Liu
This unique compendium presents the Gradient Smoothing Methods (GSMs), as a general solver for linear and nonlinear PDEs (Partial Differential Equations) with a focus on fluids and flowing solids.The volume introduces the basic concepts and theories of the gradient smoothing technique used in the GSMs. Formulations for both Eulerian-GSM and Lagrangian-GSM are presented. The key ingredients of GSMs and its effectiveness in solving challenging fluid/solid flow problems with complex geometries are then discussed.Applications of GSM are highlighted, including compressible and incompressible flows, hydrodynamics with flexible free surface, and flowing solids with material strength and large deformation in geotechnical engineering, in particular, landslide simulations.In-house MATLAB codes are provided for both Eulerian and Lagrangian GSMs, along with detailed descriptions. More efficient FORTRAN source codes for solving complex engineering problems are also available on Github.
Author |
: K.J Bathe |
Publisher |
: Elsevier |
Total Pages |
: 2485 |
Release |
: 2003-06-02 |
ISBN-10 |
: 9780080529479 |
ISBN-13 |
: 008052947X |
Rating |
: 4/5 (79 Downloads) |
Synopsis Computational Fluid and Solid Mechanics 2003 by : K.J Bathe
Bringing together the world's leading researchers and practitioners of computational mechanics, these new volumes meet and build on the eight key challenges for research and development in computational mechanics.Researchers have recently identified eight critical research tasks facing the field of computational mechanics. These tasks have come about because it appears possible to reach a new level of mathematical modelling and numerical solution that will lead to a much deeper understanding of nature and to great improvements in engineering design.The eight tasks are: - The automatic solution of mathematical models - Effective numerical schemes for fluid flows - The development of an effective mesh-free numerical solution method - The development of numerical procedures for multiphysics problems - The development of numerical procedures for multiscale problems - The modelling of uncertainties - The analysis of complete life cycles of systems - Education - teaching sound engineering and scientific judgement Readers of Computational Fluid and Solid Mechanics 2003 will be able to apply the combined experience of many of the world's leading researchers to their own research needs. Those in academic environments will gain a better insight into the needs and constraints of the industries they are involved with; those in industry will gain a competitive advantage by gaining insight into the cutting edge research being carried out by colleagues in academia. Features - Bridges the gap between academic researchers and practitioners in industry - Outlines the eight main challenges facing Research and Design in Computational mechanics and offers new insights into the shifting the research agenda - Provides a vision of how strong, basic and exciting education at university can be harmonized with life-long learning to obtain maximum value from the new powerful tools of analysis
Author |
: Zhenhan Yao |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 354 |
Release |
: 2007-12-31 |
ISBN-10 |
: 9783540482604 |
ISBN-13 |
: 3540482601 |
Rating |
: 4/5 (04 Downloads) |
Synopsis Computational Methods in Engineering & Science by : Zhenhan Yao
Here are the printed proceedings of EPMESC X, held on August 21-23, 2006 in Sanya, Hainan Island of China. It includes 14 full papers of plenary and semi-plenary lectures and approximately 166 one-page summaries. The accompanying CD-ROM includes all 180 full papers presented at the conference.
Author |
: Jerome P. Lynch |
Publisher |
: Woodhead Publishing |
Total Pages |
: 678 |
Release |
: 2022-07-19 |
ISBN-10 |
: 9780081026977 |
ISBN-13 |
: 0081026978 |
Rating |
: 4/5 (77 Downloads) |
Synopsis Sensor Technologies for Civil Infrastructures by : Jerome P. Lynch
Sensor Technologies for Civil Infrastructure, Volume 1: Sensing Hardware and Data Collection Methods for Performance Assessment, Second Edition, provides an overview of sensor hardware and its use in data collection. The first chapters provide an introduction to sensing for structural performance assessment and health monitoring, and an overview of commonly used sensors and their data acquisition systems. Further chapters address different types of sensor including piezoelectric transducers, fiber optic sensors, acoustic emission sensors, and electromagnetic sensors, and the use of these sensors for assessing and monitoring civil infrastructures. The new edition now includes chapters on machine learning methods and reliability analysis for structural health monitoring. All chapters have been revised to include the latest advances in materials (such as piezoelectric and mechanoluminescent materials), technologies (such as LIDAR), and applications. - Describes sensing hardware and data collection, covering a variety of sensors including LIDAR - Examines fiber optic systems, acoustic emission, piezoelectric sensors, electromagnetic sensors, terahertz technologies, ultrasonic methods, and radar and millimeter wave technology - Covers strain gauges, micro-electro-mechanical systems (MEMS), multifunctional materials and nanotechnology for sensing, and vision-based sensing and lasers - Includes new chapters on machine learning methods and reliability analysis