The use of intelligent computational tools for damage detection and identification with an emphasis on composites - A review (Record no. 53869)

MARC details
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003 - CONTROL NUMBER IDENTIFIER
control field MX-MdCICY
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625162436.0
040 ## - CATALOGING SOURCE
Transcribing agency CICY
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-19750
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245 10 - TITLE STATEMENT
Title The use of intelligent computational tools for damage detection and identification with an emphasis on composites - A review
490 0# - SERIES STATEMENT
Volume/sequential designation Composite Structures, 196, p.44-54, 2018
520 3# - SUMMARY, ETC.
Summary, etc. Today, the Structural Health Monitorin (SHM)methodology is the main way to deal with the detection and identification of damages in a range of engineering sectors, mainly in the military and civil aerospace industry. The need to monitor damages and failures in increasingly complex structures has led to the development of various detection techniques. Identification of damages through intelligent signal processing and optimization algorithms are particularly emphasized. The methods discussed here are mainly elaborated by the evaluation of modal data due to the great potential of their application. Moreover, the optimization of damage identification is approached through methods of optimal positioning of sensors for the acquisition of the data that must be evaluated so that conclusions can be made. This article discusses the use of computational and intelligent techniques for structural monitoring in the form of a review with emphasis on composite materials. Despite the excellent mechanical performance already known about composite materials, they have a weak point. While damages, in a metallic material are easily visible (in some cases), composite materials often have the superficial appearance as if in perfect condition, when, inside, there are serious damages. This paper can be seen as a guideline or a starting point for developing and improving SHM systems. The contents of this paper aim to help engineers and researchers find a starting point in developing a better solution to their specific structural monitoring problems, either by inverse methods, pattern recognition, and intelligent signal processing.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DAMAGE DETECTION
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element STRUCTURAL HEALTH MONITORING
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element OPTIMIZATION ALGORITHMS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element ARTIFICIAL NEURAL NETWORKS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MODAL DATA
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element INVERSE PROBLEM
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Gomes, G. F.
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Personal name Mendéz, Y. A. D.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Alexandrino, P. D. S. L.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Da Cunha Jr, S. S.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Ancelotti Jr, A. C.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1Fj2s6dM4Y7fzwZFOAzDLmExSPAlzCigh/view?usp=drivesdk">https://drive.google.com/file/d/1Fj2s6dM4Y7fzwZFOAzDLmExSPAlzCigh/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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Source of classification or shelving scheme Clasificación local
Koha item type Documentos solicitados
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-19750 25.06.2025 25.06.2025 Documentos solicitados