Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Meccanica
Erschienen in: Meccanica 10/2022

26.08.2022

On the application of peridynamics to crack detection in membranes using an upgraded metaheuristic

verfasst von: Ehsan Afshari, Farshid Mossaiby, Taha Bakhshpoori

Erschienen in: Meccanica | Ausgabe 10/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper we present a new approach based on peridynamics (PD) for identification of crack position and length in membranes, as one of the most important topics in structural health monitoring. PD is known to provide rather realistic results in problems involving crack nucleation and propagation and requires no special treatment for consideration of cracks; therefore it is employed in this work for computation of in-plane response of the cracked membranes under impact load conditions. To identify the crack characteristics, the difference between measured and computed maximum displacements of some predetermined points is considered as the objective function. An optimization step, using the Charged System Search (CSS) algorithm, is then used to minimize the objective function. To increase the efficiency of CSS, the algorithm is upgraded using a sinusoidal search phase. To evaluate the proposed approach, four scenarios of crack placement are considered. Noisy conditions are also considered in each scenario. The results demonstrate the efficiency of the proposed approach in determining the position, orientation, and length of the crack. Also, the upgraded CSS algorithm consistently outperforms the original CSS algorithm.
Vorheriger Artikel Dynamic modeling and simulation of a post-capture spacecraft with X-shape isolation system
Nächster Artikel Tensile strength and elastic modulus determined in the Brazilian test: Theory and experiment

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
2.
Ahmad S, Waleed A, Virk US, Riaz MT, Sharjeel A, Ahmad N (2019) Retracted: multiple damage detections in plate-like structures using curvature mode shapes and gapped smoothing method. Adv Mech Eng 11(5):1687814019848921CrossRef
3.
Avci O, Abdeljaber O, Kiranyaz S, Hussein M, Gabbouj M, Inman DJ (2021) A review of vibration-based damage detection in civil structures: from traditional methods to machine learning and deep learning applications. Mech Syst Signal Process 147:107077CrossRef
4.
Bagheri A, Amiri GG, Razzaghi SS (2009) Vibration-based damage identification of plate structures via curvelet transform. J Sound Vib 327(3–5):593–603CrossRef
5.
Bazazzadeh S, Mossaiby F, Shojaei A (2020) An adaptive thermo-mechanical peridynamic model for fracture analysis in ceramics. Eng Fract Mech 223:106708CrossRef
6.
Bednarek AJ, Willberg C, Rädel M (2016) Theory and simulation of the structural and damage behaviour of lightweight structures using peridynamics
7.
Bobaru F, Foster JT, Geubelle PH, Silling SA (2016) Handbook of peridynamic modeling. CRC press
8.
Boukellif R, Ricoeur A (2020) Identification of crack parameters and stress intensity factors in finite and semi-infinite plates solving inverse problems of linear elasticity. Acta Mech 231(2):795–813MathSciNetMATHCrossRef
9.
Cawley P, Adams RD (1979) The location of defects in structures from measurements of natural frequencies. J Strain Anal Eng Des 14(2):49–57CrossRef
10.
Chatzi EN, Hiriyur B, Waisman H, Smyth AW (2011) Experimental application and enhancement of the xfem-ga algorithm for the detection of flaws in structures. Comput Struct 89(7–8):556–570CrossRef
11.
Chen Y (1992) Dynamic characteristics and modal parameters of a plate with a surface crack. Ph.D. thesis, Memorial University of Newfoundland
12.
Choi SH (2002) Development of nondestructive damage detection algorithms for plate structures. KSCE J Civ Eng 6(4):495–501CrossRef
13.
Choi S, Park S, Stubbs N (2005) Nondestructive damage detection in structures using changes in compliance. Int J Solids Struct 42(15):4494–4513MATHCrossRef
14.
Choi S, Stubbs N (1997) Nondestructive damage detection algorithms for 2d plates. In: Smart structures and materials 1997: smart systems for bridges, structures, and highways. International Society for Optics and Photonics,vol 3043, pp 193–204
15.
Cornwell P, Doebling SW, Farrar CR (1999) Application of the strain energy damage detection method to plate-like structures. J Sound Vib 224(2):359–374CrossRef
16.
Diehl P, Prudhomme S, Lévesque M (2019) A review of benchmark experiments for the validation of peridynamics models. J Peridyn Nonlocal Model 1(1):14–35MathSciNetCrossRef
17.
Dinh-Cong D, Truong TT, Nguyen-Thoi T (2021) A comparative study of different dynamic condensation techniques applied to multi-damage identification of fgm and fg-cntrc plates. Eng Comput:1–25
18.
Dinh-Cong D, Vo-Duy T, Ho-Huu V, Nguyen-Thoi T (2019) Damage assessment in plate-like structures using a two-stage method based on modal strain energy change and jaya algorithm. Inverse Probl Sci Eng 27(2):166–189MathSciNetMATHCrossRef
19.
20.
Dolbow J, Moës N, Belytschko T (2000) Modeling fracture in mindlin-reissner plates with the extended finite element method. Int J Solids Struct 37(48–50):7161–7183MATHCrossRef
21.
Dos Santos JA, Soares CM, Soares CM, Pina H (2000) Development of a numerical model for the damage identification on composite plate structures. Compos Struct 48(1–3):59–65CrossRef
22.
Dwivedi SK, Vishwakarma M, Soni A (2018) Advances and researches on non destructive testing: a review. Mater Today Proc 5(2):3690–3698CrossRef
23.
Fathi H, Vaez SH, Zhang Q, Alavi AH (2021) A new approach for crack detection in plate structures using an integrated extended finite element and enhanced vibrating particles system optimization methods. In: Structures. Elsevier, vol 29, pp 638–651
24.
Fu Y, Lu Z, Liu J (2013) Damage identification in plates using finite element model updating in time domain. J Sound Vib 332(26):7018–7032CrossRef
25.
Ghahremani B, Bitaraf M, Ghorbani-Tanha AK, Fallahi R (2021) Structural damage identification based on fast s-transform and convolutional neural networks. In: Structures. Elsevier, vol 29, pp 1199–1209
26.
Giurgiutiu V, Zagrai A (2005) Damage detection in thin plates and aerospace structures with the electro-mechanical impedance method. Struct Health Monit 4(2):99–118CrossRef
27.
Gomes GF, da Cunha SS, Ancelotti AC (2019) A sunflower optimization (sfo) algorithm applied to damage identification on laminated composite plates. Eng Comput 35(2):619–626CrossRef
28.
Hadjileontiadis LJ, Douka E (2007) Kurtosis analysis for crack detection in thin isotropic rectangular plates. Eng Struct 29(9):2353–2364CrossRef
29.
Hadjileontiadis L, Douka E (2007) Crack detection in plates using fractal dimension. Eng Struct 29(7):1612–1625CrossRef
30.
Hairer E, Lubich C, Wanner G (2003) Geometric numerical integration illustrated by the störmer-verlet method. Acta Numer 12:399–450MathSciNetMATHCrossRef
31.
Hamidian D, Salajegheh J, Salajegheh E (2018) Damage detection of irregular plates and regular dams by wavelet transform combined adoptive neuro fuzzy inference system. Civ Eng J 4(2):305–319CrossRef
32.
Hermann A, Shojaei A, Steglich D, Höche D, Zeller-Plumhoff B, Cyron CJ (2022) Combining peridynamic and finite element simulations to capture the corrosion of degradable bone implants and to predict their residual strength. Int J Mech Sci 220:107143CrossRef
33.
Hu X, Qin Z, Chu F (2011) Damage detection in plate structures based on space-time autoregressive moving average processes. In: Journal of physics: conference series. IOP Publishing, vol 305, p 012119
34.
Hu Y, Madenci E (2016) Bond-based peridynamics with an arbitrary poisson’s ratio. In: 57th AIAA/ASCE/AHS/ASC structures, structural dynamics, and materials conference, p 1722
35.
Jiang Y, Xiang J, Li B, Chen X, Lin L (2017) A hybrid multiple damages detection method for plate structures. Sci Shina Technol Sci 60(5):726–736CrossRef
36.
Kaveh A, Khodadadi N, Azar BF, Talatahari S (2020) Optimal design of large-scale frames with an advanced charged system search algorithm using box-shaped sections. Eng Comput:1–21
37.
Kaveh A, Share MAM, Moslehi M (2013) Magnetic charged system search: a new meta-heuristic algorithm for optimization. Acta Mech 224(1):85–107MATHCrossRef
38.
Kaveh A, Talatahari S (2010) A novel heuristic optimization method: charged system search. Acta Mech 213(3):267–289MATHCrossRef
39.
Kaveh A, Zolghadr A (2015) An improved css for damage detection of truss structures using changes in natural frequencies and mode shapes. Adv Eng Softw 80:93–100CrossRef
40.
Kaveh A, Bakhshpoori T (2019) Metaheuristics: outlines, MATLAB codes and examples. Springer
41.
Khatir A, Tehami M, Khatir S, Wahab MA (2016) Damage detection and localization on thin plates using vibration analysis. Res Vet Sci 106:107–111
42.
Khatir S, Wahab MA (2019) A computational approach for crack identification in plate structures using xfem, xiga, pso and jaya algorithm. Theoret Appl Fract Mech 103:102240CrossRef
43.
Knitter-Piątkowska A, Guminiak MJ (2016) Defect detection in plate structures using wavelet transformation. Eng Trans 64(2):139–156
44.
Lee U, Shin J (2002) A structural damage identification method for plate structures. Eng Struct 24(9):1177–1188CrossRef
45.
Li Y, Yam L (2001) Sensitivity analyses of sensor locations for vibration control and damage detection of thin-plate systems. J Sound Vib 240(4):623–636CrossRef
46.
Lu Y, Ye L, Su Z, Zhou L, Cheng L (2009) Artificial neural network (ann)-based crack identification in aluminum plates with lamb wave signals. J Intell Mater Syst Struct 20(1):39–49CrossRef
47.
Madenci E, Oterkus E (2014) Peridynamic theory. In: Peridynamic theory and its applications. Springer, pp 19–43
48.
Matveenko V, Kosheleva N, Serovaev G (2021) Damage detection in materials based on strain measurements. Acta Mech 232(5):1841–1851MathSciNetMATHCrossRef
49.
50.
Mossaiby F, Shojaei A, Zaccariotto M, Galvanetto U (2017) Opencl implementation of a high performance 3d peridynamic model on graphics accelerators. Comput Math Appl 74(8):1856–1870MathSciNetMATHCrossRef
51.
Ongaro G, Seleson P, Galvanetto U, Ni T, Zaccariotto M (2021) Overall equilibrium in the coupling of peridynamics and classical continuum mechanics. Comput Methods Appl Mech Eng 381:113515MathSciNetMATHCrossRef
52.
Oterkus E, Oterkus S, Madenci E (2021) Peridynamic modeling, numerical techniques, and applications. Elsevier
53.
Parks ML, Lehoucq RB, Plimpton SJ, Silling SA (2008) Implementing peridynamics within a molecular dynamics code. Comput Phys Commun 179(11):777–783MATHCrossRef
54.
Prem PR, Verma M, Ambily P (2021) Damage characterization of reinforced concrete beams under different failure modes using acoustic emission. In: Structures. Elsevier,vol 30, pp 174–187
55.
Rabinovich D, Givoli D, Vigdergauz S (2009) Crack identification by ‘arrival time’ using xfem and a genetic algorithm. Int J Numer Meth Eng 77(3):337–359MathSciNetMATHCrossRef
56.
Ručevskis S, Chate A (2013) Damage identification in a plate-like structure using modal data. Aviation 17(2):45–51CrossRef
57.
Rucka M (2011) Modelling of in-plane wave propagation in a plate using spectral element method and kane-mindlin theory with application to damage detection. Arch Appl Mech 81(12):1877–1888MATHCrossRef
58.
Saberi M, Kaveh A (2015) Damage detection of space structures using charged system search algorithm and residual force method. Iran J Sci Technol Trans Civ Eng 39(C2):215–229
59.
Seifoori S, Izadi R, Yazdinezhad A (2019) Impact damage detection for small-and large-mass impact on cfrp and gfrp composite laminate with different striker geometry using experimental, analytical and fe methods. Acta Mech 230(12):4417–4433CrossRef
60.
Sen D, Aghazadeh A, Mousavi A, Nagarajaiah S, Baraniuk R (2019) Sparsity-based approaches for damage detection in plates. Mech Syst Signal Process 117:333–346CrossRef
61.
Shojaei A, Hermann A, Cyron CJ, Seleson P, Silling SA (2022) A hybrid meshfree discretization to improve the numerical performance of peridynamic models. Comput Methods Appl Mech Eng 391:114544MathSciNetMATHCrossRef
62.
Silling SA (2000) Reformulation of elasticity theory for discontinuities and long-range forces. J Mech Phys Solids 48(1):175–209MathSciNetMATHCrossRef
63.
Silling SA, Askari E (2005) A meshfree method based on the peridynamic model of solid mechanics. Comput Struct 83(17–18):1526–1535CrossRef
64.
65.
Tabiai I, Tkachev G, Diehl P, Frey S, Ertl T, Therriault D, Levesque M (2019) Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding. Eng Fract Mech 216:106485CrossRef
66.
Tabrizian Z, Ghodrati Amiri G, Hossein Ali Beigy M (2014) Charged system search algorithm utilized for structural damage detection. Shock Vib 2014
67.
Talatahari S, Kaveh A, Sheikholeslami R (2012) Engineering design optimization using chaotic enhanced charged system search algorithms. Acta Mech 223(10):2269–2285MATHCrossRef
68.
Vaez SRH, Fallah N (2017) Damage detection of thin plates using ga-pso algorithm based on modal data. Arab J Sci Eng 42(3):1251–1263CrossRef
69.
Vo-Duy T, Ho-Huu V, Dang-Trung H, Dinh-Cong D, Nguyen-Thoi T (2016) Damage detection in laminated composite plates using modal strain energy and improved differential evolution algorithm. Procedia Eng 142:182–189CrossRef
70.
Wang X, Shahzad MM, et al (2021) A novel structural damage identification scheme based on deep learning framework. In: Structures. Elsevier, vol 29, pp 1537–1549
71.
Wawrzynek PA, Ingraffea AR (1989) An interactive approach to local remeshing around a propagating crack. Finite Elem Anal Des 5(1):87–96CrossRef
72.
Weckner O, Brunk G, Epton MA, Silling SA, Askari E (2009) Comparison between local elasticity and non-local peridynamics. Sandia Natl Lab Rep J 1109:2009MATH
73.
Wei Z, Liu J, Lu Z (2018) Structural damage detection using improved particle swarm optimization. Inverse Probl Sci Eng 26(6):792–810MathSciNetMATHCrossRef
74.
Wu D, Law S (2004) Anisotropic damage model for an inclined crack in thick plate and sensitivity study for its detection. Int J Solids Struct 41(16–17):4321–4336MATHCrossRef
75.
Wu D, Law S (2004) Damage localization in plate structures from uniform load surface curvature. J Sound Vib 276(1–2):227–244CrossRef
76.
Wu D, Law S (2005) Sensitivity of uniform load surface curvature for damage identification in plate structures. J Vib Acoust 127(1):84–92CrossRef
77.
Yan Y, Cheng L, Wu Z, Yam L (2007) Development in vibration-based structural damage detection technique. Mech Syst Signal Process 21(5):2198–2211CrossRef
78.
Zakian P, Nadi M, Tohidi M (2021) Finite cell method for detection of flaws in plate structures using dynamic responses. In: Structures. Elsevier, vol 34, pp 327–338
79.
Zhang C, Wang C, Lahmer T, He P, Rabczuk T (2016) A dynamic xfem formulation for crack identification. Int J Mech Mater Des 12(4):427–448CrossRef
Metadaten
Titel
On the application of peridynamics to crack detection in membranes using an upgraded metaheuristic
verfasst von
Ehsan Afshari
Farshid Mossaiby
Taha Bakhshpoori
Publikationsdatum
26.08.2022
Verlag
Springer Netherlands
Erschienen in
Meccanica / Ausgabe 10/2022
Print ISSN: 0025-6455
Elektronische ISSN: 1572-9648
DOI
https://doi.org/10.1007/s11012-022-01571-z

Weitere Artikel der Ausgabe 10/2022

Meccanica 10/2022 Zur Ausgabe

OriginalPaper

The evolution of the law of random processes in the analysis of dynamic systems

Overviews & Tutorials

On the reduction of nonlinear electromechanical systems

OriginalPaper

An investigation of fluid-structure interaction in pipe conveying flow using reduced-order models

OriginalPaper

Control and navigation problems for model bio-inspired microswimmers

OriginalPaper

A global iterative model for mesh stiffness and mesh force estimation of flexible internal meshing in spur planetary gear sets

OriginalPaper

Tensile strength and elastic modulus determined in the Brazilian test: Theory and experiment

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise