Statistical Approaches to Methods of Structural Mechanics PDF Download
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Author: Aleksandr Vishnevetskiy
Publisher: CreateSpace
ISBN: 9781483961262
Category :
Languages : ru
Pages : 226
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Book Description
This is the second edition of the book. The first edition was published in 1992 (Kiev, Ukraine).
Author: Aleksandr Vishnevetskiy
Publisher: CreateSpace
ISBN: 9781483961262
Category :
Languages : ru
Pages : 226
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Book Description
This is the second edition of the book. The first edition was published in 1992 (Kiev, Ukraine).
Author: Vladimir Vasil'evich Bolotin
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages :
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Book Description
Author: Vladimir Vasilʹevich Bolotin
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 272
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Book Description
Author: Vladimir Vasil'evič Bolotin
Publisher:
ISBN:
Category :
Languages : en
Pages : 240
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Book Description
Author: Vladimir Vasilʹevich Bolotin
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 272
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Book Description
Author: Guiliano Augusti
Publisher: CRC Press
ISBN: 9780412222306
Category : Architecture
Languages : en
Pages : 586
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Book Description
This book presents the most important applications of probablistic and statistical approaches and procedures to structural engineering.
Author: Lingyi Lu
Publisher: CRC Press
ISBN: 9781003095699
Category : Science
Languages : en
Pages : 250
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Book Description
This book covers both standard and advanced topics of structural mechanics. Standard subjects covered include geometric stability, forces and displacements of statically determinate structures, force and displacement method, and influence lines. Advanced topics include matrix displacement method, dynamics of structures, and limit loading. The book serves both as a classroom textbook and as a permanent engineering reference. It is written in such a way that it can be followed by anyone with a basic knowledge of classical and material mechanics.
Author: Zehua Chen
Publisher: CRC Press
ISBN: 0415669863
Category : Mathematics
Languages : en
Pages : 944
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Book Description
While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to use a feature selection approach to tackle a QTL mapping problem with dense markers. The book also provides comprehensive coverage of Bayesian models and MCMC algorithms and describes methods for multi-trait QTL mapping and eQTL mapping, including meta-trait methods and multivariate sequential procedures. This book emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. It gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists. Written primarily for geneticists and statisticians specializing in QTL mapping, the book can also be used as a supplement in graduate courses or for self-study by PhD students working on QTL mapping projects.
Author: Ka-Veng Yuen
Publisher: John Wiley & Sons
ISBN: 9780470824559
Category : Mathematics
Languages : en
Pages : 320
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Book Description
Bayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical engineering, and information sciences. They are also ideal for civil engineering applications, given the numerous types of modeling and parametric uncertainty in civil engineering problems. For example, earthquake ground motion cannot be predetermined at the structural design stage. Complete wind pressure profiles are difficult to measure under operating conditions. Material properties can be difficult to determine to a very precise level – especially concrete, rock, and soil. For air quality prediction, it is difficult to measure the hourly/daily pollutants generated by cars and factories within the area of concern. It is also difficult to obtain the updated air quality information of the surrounding cities. Furthermore, the meteorological conditions of the day for prediction are also uncertain. These are just some of the civil engineering examples to which Bayesian probabilistic methods are applicable. Familiarizes readers with the latest developments in the field Includes identification problems for both dynamic and static systems Addresses challenging civil engineering problems such as modal/model updating Presents methods applicable to mechanical and aerospace engineering Gives engineers and engineering students a concrete sense of implementation Covers real-world case studies in civil engineering and beyond, such as: structural health monitoring seismic attenuation finite-element model updating hydraulic jump artificial neural network for damage detection air quality prediction Includes other insightful daily-life examples Companion website with MATLAB code downloads for independent practice Written by a leading expert in the use of Bayesian methods for civil engineering problems This book is ideal for researchers and graduate students in civil and mechanical engineering or applied probability and statistics. Practicing engineers interested in the application of statistical methods to solve engineering problems will also find this to be a valuable text. MATLAB code and lecture materials for instructors available at http://www.wiley.com/go/yuen
Author: Yan-Gang Zhao
Publisher: John Wiley & Sons
ISBN: 1119620813
Category : Technology & Engineering
Languages : en
Pages : 660
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Book Description
STRUCTURAL RELIABILITY Discover a new and innovative approach to structural reliability from two authoritative and accomplished authors The subject of structural reliability, which deals with the problems of evaluating the safety and risk posed by a wide variety of structures, has grown rapidly over the last four decades. And while the First-Order Reliability Method is principally used by most textbooks on this subject, other approaches have identified some of the limitations of that method. In Structural Reliability: Approaches from Perspectives of Statistical Moments, accomplished engineers and authors Yan-Gang Zhao and Dr. Zhao-Hui Lu, deliver a concise and insightful exploration of an alternative and innovative approach to structural reliability. Called the Methods of Moment, the authors’ approach is based on the information of statistical moments of basic random variables and the performance function. The Methods of Moment approach facilitates structural reliability analysis and reliability-based design and can be extended to other engineering disciplines, yielding further insights into challenging problems involving randomness. Readers will also benefit from the inclusion of: A thorough introduction to the measures of structural safety, including uncertainties in structural design, deterministic measures of safety, and probabilistic measures of safety An exploration of the fundamentals of structural reliability theory, including the performance function and failure probability A practical discussion of moment evaluation for performance functions, including moment computation for both explicit and implicit performance functions A concise treatment of direct methods of moment, including the third- and fourth-moment reliability methods Perfect for professors, researchers, and graduate students in civil engineering, Structural Reliability: Approaches from Perspectives of Statistical Moments will also earn a place in the libraries of professionals and students working or studying in mechanical engineering, aerospace and aeronautics engineering, marine and offshore engineering, ship engineering, and applied mechanics.
