Applied Math for Experimental Structural Dynamics

Chuck Van Karsen; Andrew Barnard

doi:10.1007/978-1-4614-4547-0_32

Applied Math for Experimental Structural Dynamics

Chuck Van Karsen, Andrew Barnard

Graduate Program in Acoustics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Explanation of the methods, techniques, and theoretical aspects of experimental structural dynamics requires a fundamental understanding of several mathematical concepts. Data acquisition and analysis and their relationship to structural dynamics theory rely on an understanding of domains and transforms. Theoretical and computational methods in structural dynamics (modeling, correlation, parameter estimation, etc.) make use of linear algebra concepts and techniques. This chapter presents the fundamentals of these concepts and methods.

Original language	English (US)
Title of host publication	Handbook of Experimental Structural Dynamics
Subtitle of host publication	With 667 Figures and 70 Tables
Publisher	Springer New York
Pages	1379-1401
Number of pages	23
ISBN (Electronic)	9781461445470
ISBN (Print)	9781461445463
DOIs	https://doi.org/10.1007/978-1-4614-4547-0_32
State	Published - Jan 1 2022

All Science Journal Classification (ASJC) codes

General Engineering
General Computer Science

Access to Document

10.1007/978-1-4614-4547-0_32

Cite this

@inbook{445da2697cfb473aaa6977271ccbf9b5,

title = "Applied Math for Experimental Structural Dynamics",

abstract = "Explanation of the methods, techniques, and theoretical aspects of experimental structural dynamics requires a fundamental understanding of several mathematical concepts. Data acquisition and analysis and their relationship to structural dynamics theory rely on an understanding of domains and transforms. Theoretical and computational methods in structural dynamics (modeling, correlation, parameter estimation, etc.) make use of linear algebra concepts and techniques. This chapter presents the fundamentals of these concepts and methods.",

author = "{Van Karsen}, Chuck and Andrew Barnard",

note = "Publisher Copyright: {\textcopyright} The Society for Experimental Mechanics 2022.",

year = "2022",

month = jan,

day = "1",

doi = "10.1007/978-1-4614-4547-0_32",

language = "English (US)",

isbn = "9781461445463",

pages = "1379--1401",

booktitle = "Handbook of Experimental Structural Dynamics",

publisher = "Springer New York",

address = "United States",

}

TY - CHAP

T1 - Applied Math for Experimental Structural Dynamics

AU - Van Karsen, Chuck

AU - Barnard, Andrew

PY - 2022/1/1

Y1 - 2022/1/1

N2 - Explanation of the methods, techniques, and theoretical aspects of experimental structural dynamics requires a fundamental understanding of several mathematical concepts. Data acquisition and analysis and their relationship to structural dynamics theory rely on an understanding of domains and transforms. Theoretical and computational methods in structural dynamics (modeling, correlation, parameter estimation, etc.) make use of linear algebra concepts and techniques. This chapter presents the fundamentals of these concepts and methods.

AB - Explanation of the methods, techniques, and theoretical aspects of experimental structural dynamics requires a fundamental understanding of several mathematical concepts. Data acquisition and analysis and their relationship to structural dynamics theory rely on an understanding of domains and transforms. Theoretical and computational methods in structural dynamics (modeling, correlation, parameter estimation, etc.) make use of linear algebra concepts and techniques. This chapter presents the fundamentals of these concepts and methods.

UR - http://www.scopus.com/inward/record.url?scp=85160471203&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85160471203&partnerID=8YFLogxK

U2 - 10.1007/978-1-4614-4547-0_32

DO - 10.1007/978-1-4614-4547-0_32

M3 - Chapter

AN - SCOPUS:85160471203

SN - 9781461445463

SP - 1379

EP - 1401

BT - Handbook of Experimental Structural Dynamics

PB - Springer New York

ER -

Applied Math for Experimental Structural Dynamics

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this