Multifidelity Modeling in Vibration Analysis
暫譯: 振動分析中的多精度建模

Ganguli, Ranjan

  • 出版商: CRC
  • 出版日期: 2026-07-20
  • 售價: $2,620
  • 貴賓價: 9.5$2,489
  • 語言: 英文
  • 頁數: 178
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032799714
  • ISBN-13: 9781032799711
  • 相關分類: 工程數學 Engineering-mathematics
  • 尚未上市,無法訂購

商品描述

Multifidelity Modeling in Vibration Analysis teaches users how to make predictions about physical systems in a computationally inexpensive manner.

The aim of this book is to introduce the concept of multifidelity modeling through structural dynamics case studies. The book focuses on vibration analysis problems to illustrate how multifidelity methods work. Two key methods -- the response surface methods and the co-kriging method -- are discussed to present the reader with state of the art practices that are easy to implement. Also, two different physics-based mathematical models of a system, the Euler-Bernoulli beam model and the Timoshenko beam model, are used at two disparate levels of discretization.

This book will help graduate students, researchers, and scientists who are interested in applying multifidelity models to uncertainty quantification, optimization, and robust and reliability-based design problems of vibration of engineering systems.

商品描述(中文翻譯)

振動分析中的多忠實度建模》教導使用者如何以計算成本低廉的方式對物理系統進行預測。

本書的目的是通過結構動力學案例研究介紹多忠實度建模的概念。書中專注於振動分析問題,以說明多忠實度方法的運作方式。討論了兩種關鍵方法——響應面方法(response surface methods)和共克里金方法(co-kriging method),向讀者展示易於實施的先進實踐。此外,使用了兩種不同的基於物理的數學模型,歐拉-伯努利梁模型(Euler-Bernoulli beam model)和提摩申科梁模型(Timoshenko beam model),在兩個不同的離散化層次上進行分析。

本書將幫助研究生、研究人員和科學家,特別是那些對應用多忠實度模型於不確定性量化、優化以及基於穩健性和可靠性的工程系統振動設計問題感興趣的人士。

作者簡介

Dr. Ranjan Ganguli is the founder of Digital Predilection LLC, a digital higher education company. He received his MS and PhD degrees from the Department of Aerospace Engineering at the University of Maryland, College Park, USA in 1991 and 1994, respectively, and his B.Tech degree in Aerospace Engineering from the Indian Institute of Technology, Kharagpur, in 1989. He was a Professor in the Aerospace Engineering Department of the Indian Institute of Science, Bangalore from 2000-2021. He worked at Viasat, San Diego, on satellite internet load balancing using Shannon's entropy optimization during 2022-2023 and at Pratt and Whitney, East Hartford, on engine diagnostics using machine learning during 1998-2000. He has completed sponsored research projects for companies such as Boeing, Pratt and Whitney, Honeywell, HAL and others. His research is published in refereed journals and conferences. He has authored books titled "Digital Twin", "Isospectral Vibrating Systems", "Gas Turbine Diagnostics", and "Engineering Optimization", among others. He is a Fellow of the American Society of Mechanical Engineers, an Associate Fellow of the American Institute of Aeronautics and Astronautics, a Senior Member of the IEEE, a Fellow of the Indian National Academy of Engineering and the National Academy of Sciences. He also received the Alexander von Humboldt Fellowship and the Fulbright Fellowship in 2007 and 2011, respectively. He has held visiting scientist positions in Germany, France and South Korea. He received the Royal Academy of Engineering Distinguished Visiting Fellowship in 2021.

作者簡介(中文翻譯)

Dr. Ranjan Ganguli 是 Digital Predilection LLC 的創辦人,這是一家數位高等教育公司。他於1991年和1994年分別在美國馬里蘭州大學(University of Maryland, College Park)的航空工程系獲得碩士和博士學位,並於1989年在印度理工學院(Indian Institute of Technology, Kharagpur)獲得航空工程的學士學位。他曾於2000年至2021年擔任印度科學研究院(Indian Institute of Science, Bangalore)航空工程系的教授。他在2022年至2023年間於 Viasat, San Diego 工作,專注於使用香農熵優化進行衛星網路負載平衡,並於1998年至2000年在 Pratt and Whitney, East Hartford 從事使用機器學習進行引擎診斷的工作。他完成了包括波音(Boeing)、普惠(Pratt and Whitney)、霍尼韋爾(Honeywell)、HAL 等公司的贊助研究項目。他的研究成果發表於同行評審的期刊和會議上。他著有《Digital Twin》、《Isospectral Vibrating Systems》、《Gas Turbine Diagnostics》和《Engineering Optimization》等書籍。他是美國機械工程師學會(American Society of Mechanical Engineers)的會士、美國航空航天學會(American Institute of Aeronautics and Astronautics)的副會士、IEEE 的高級會員、印度國家工程院(Indian National Academy of Engineering)和國家科學院(National Academy of Sciences)的會士。他於2007年和2011年分別獲得亞歷山大·馮·洪堡獎學金(Alexander von Humboldt Fellowship)和富布賴特獎學金(Fulbright Fellowship)。他曾在德國、法國和南韓擔任訪問科學家。他於2021年獲得英國皇家工程院(Royal Academy of Engineering)傑出訪問獎學金。

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