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Journal articles on the topic 'Damage modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

Dimitrov, S., and E. Schnack. "Damage Modelling Using Dissipation Distances." Key Engineering Materials 251-252 (October 2003): 399–404. http://dx.doi.org/10.4028/www.scientific.net/kem.251-252.399.

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2

Elenas, Anaxagoras, Yuri Petryna, and Nawawi Chouw. "Structural Damage Modelling and Assessment." Mathematical Problems in Engineering 2014 (2014): 1–2. http://dx.doi.org/10.1155/2014/532345.

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3

Gertsman, V. Y., and K. Tangri. "Modelling of intergranular damage propagation." Acta Materialia 45, no. 10 (1997): 4107–16. http://dx.doi.org/10.1016/s1359-6454(97)00083-9.

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4

Davies, G. A. O., X. Zhang, G. Zhou, and S. Watson. "Numerical modelling of impact damage." Composites 25, no. 5 (1994): 342–50. http://dx.doi.org/10.1016/s0010-4361(94)80004-9.

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5

Sandin, Olle, Pär Jonsén, David Frómeta, and Daniel Casellas. "Stating Failure Modelling Limitations of High Strength Sheets: Implications to Sheet Metal Forming." Materials 14, no. 24 (2021): 7821. http://dx.doi.org/10.3390/ma14247821.

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This article discusses the fracture modelling accuracy of strain-driven ductile fracture models when introducing damage of high strength sheet steel. Numerical modelling of well-known fracture mechanical tests was conducted using a failure and damage model to control damage and fracture evolution. A thorough validation of the simulation results was conducted against results from laboratory testing. Such validations show that the damage and failure model is suited for modelling of material failure and fracture evolution of specimens without damage. However, pre-damaged specimens show less correlation as the damage and failure model over-predicts the displacement at crack initiation with an average of 28%. Consequently, the results in this article show the need for an extension of the damage and failure model that accounts for the fracture mechanisms at the crack tip. Such extension would aid in the improvement of fracture mechanical testing procedures and the modelling of high strength sheet metal manufacturing, as several sheet manufacturing processes are defined by material fracture.

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6

Bengtsson, A., and C. Nilsson. "Extreme value modelling of storm damage in Swedish forests." Natural Hazards and Earth System Sciences 7, no. 5 (2007): 515–21. http://dx.doi.org/10.5194/nhess-7-515-2007.

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Abstract. Forests cover about 56% of the land area in Sweden and forest damage due to strong winds has been a recurring problem. In this paper we analyse recorded storm damage in Swedish forests for the years 1965–2007. During the period 48 individual storm events with a total damage of 164 Mm³ have been reported with the severe storm on 8 to 9 January 2005, as the worst with 70 Mm³ damaged forest. For the analysis, storm damage data has been normalised to account for the increase in total forest volume over the period. We show that, within the framework of statistical extreme value theory, a Poisson point process model can be used to describe these storm damage events. Damage data supports a heavy-tailed distribution with great variability in damage for the worst storm events. According to the model, and in view of available data, the return period for a storm with damage in size of the severe storm of January 2005 is approximately 80 years, i.e. a storm with damage of this magnitude will happen, on average, once every eighty years. To investigate a possible temporal trend, models with time-dependent parameters have been analysed but give no conclusive evidence of an increasing trend in the normalised storm damage data for the period. Using a non-parametric approach with a kernel based local-likelihood method gives the same result.

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7

Worswick, M. J., Z. T. Chen, A. K. Pilkey, D. Lloyd, and S. Court. "Damage characterization and damage percolation modelling in aluminum alloy sheet." Acta Materialia 49, no. 14 (2001): 2791–803. http://dx.doi.org/10.1016/s1359-6454(01)00163-x.

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8

Stolz, Claude. "On damage regularity defect nucleation modelling." International Journal of Solids and Structures 229 (October 2021): 111107. http://dx.doi.org/10.1016/j.ijsolstr.2021.111107.

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9

del Prete, Antonio, Gabriele Papadia, Teresa Primo, and Emilia Mariano. "Modelling of Damage in Blanking Processes." Key Engineering Materials 554-557 (June 2013): 2432–39. http://dx.doi.org/10.4028/www.scientific.net/kem.554-557.2432.

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Fracturing by ductile damage occurs quite naturally in metal forming process due to the development of microcracks associated with large straining or due to plastic instabilities associated with material behavior and boundary conditions. Metal forming processes generally introduce a certain amount of damage in the material being formed. Predictions of the damage formation and growth in a series of forming steps may assist in optimizing the individual operations and their order. This is particularly true for operations such as cutting and blanking, which rely on the nucleation of damage and cracks in order to separate material. In this work numerical simulation of the blanking process, using Deform 2D, taking in account the damage, has been performed. In order to evaluate the accuracy of the numerical solution, experimental test have been performed. Furthermore a numerical – experimental correlation has been carried out.

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10

LIU, Y., and S. MAHADEVAN. "Strain-based multiaxial fatigue damage modelling." Fatigue Fracture of Engineering Materials and Structures 28, no. 12 (2005): 1177–89. http://dx.doi.org/10.1111/j.1460-2695.2005.00957.x.

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11

Elenas, Anaxagoras, Yuri Petryna, and Nawawi Chouw. "Structural Damage Modelling and Assessment 2014." Mathematical Problems in Engineering 2015 (2015): 1–2. http://dx.doi.org/10.1155/2015/968528.

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12

Ehwaeti, M. E., M. J. Elliott, J. M. McNicol, M. S. Phillips, and D. L. Trudgill. "Modelling nematode population growth and damage." Crop Protection 19, no. 8-10 (2000): 739–45. http://dx.doi.org/10.1016/s0261-2194(00)00098-3.

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13

Mao, H., and S. Mahadevan. "Fatigue damage modelling of composite materials." Composite Structures 58, no. 4 (2002): 405–10. http://dx.doi.org/10.1016/s0263-8223(02)00126-5.

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14

Maximenko, A. L., and O. Van Der Biest. "Modelling of damage development during sintering." Journal of the European Ceramic Society 21, no. 8 (2001): 1061–71. http://dx.doi.org/10.1016/s0955-2219(00)00309-5.

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15

Selvadurai, A. P. S. "Stationary damage modelling of poroelastic contact." International Journal of Solids and Structures 41, no. 8 (2004): 2043–64. http://dx.doi.org/10.1016/j.ijsolstr.2003.08.023.

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16

Martin, E., G. Camus, J. Schlosser, and G. Chevet. "Damage modelling in plasma facing components." Journal of Nuclear Materials 386-388 (April 2009): 747–50. http://dx.doi.org/10.1016/j.jnucmat.2008.12.208.

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17

Bykov. "Modelling damage accumulation in filled polymers." Fatigue Fracture of Engineering Materials and Structures 22, no. 11 (1999): 981–88. http://dx.doi.org/10.1046/j.1460-2695.1999.00235.x.

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18

DONG, M. J., G. K. HU, A. DIBOINE, D. MOULIN, and C. PRIOUL. "Damage modelling in nodular cast iron." Le Journal de Physique IV 03, no. C7 (1993): C7–643—C7–648. http://dx.doi.org/10.1051/jp4:19937103.

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19

Buonsanti, Michele, Giovanni Leonardi, and Francesco Scoppelliti. "Modelling Micro-Damage in Granular Solids." Key Engineering Materials 525-526 (November 2012): 497–500. http://dx.doi.org/10.4028/www.scientific.net/kem.525-526.497.

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The prediction of the spacing and opening of cracks in asphalt or concrete pavements, and particularly in airports (runway, taxiway and apron) is important for the durability assessment. A basic problem is the spacing of parallel planar cracks from a half space surface, approached and solved by numerous authors by means of macro-scale computational models. The calculated values of crack spacing are in relatively good agreement with the values reported in observations on asphalt concrete pavements. The constituents of granular solids are, fundamentally, made of grain in contact and, these materials are highly discontinuous and non-homogeneous with two or three phases (solid, voids with air or water), and finally binding among solid parts. The aim of this paper is to suggest a micromechanical approach in granular material solids, focusing the attention on a simple RVE (representative volume element) based on two rigid particles linked through an adhesive material (bitumen). Our final aim is to propose a micro-damageability parameter (interface loss) supposing the adhesion decreasing under the action of prescribed tangential and normal relative displacement. The reduction is attributed by progressive damage and comes with energy dissipation and moreover we assume unilateral contact conditions for normal displacement and Coulomb friction for the tangential displacement.

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20

Gao, Y. C. "Damage modelling of fiber reinforced composites." Theoretical and Applied Fracture Mechanics 11, no. 3 (1989): 147–55. http://dx.doi.org/10.1016/0167-8442(89)90001-3.

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21

Sanches Júnior, Faustino, and Wilson Sergio Venturini. "Damage modelling of reinforced concrete beams." Advances in Engineering Software 38, no. 8-9 (2007): 538–46. http://dx.doi.org/10.1016/j.advengsoft.2006.08.025.

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22

Liljedahl, C. D. M., A. D. Crocombe, M. A. Wahab, and I. A. Ashcroft. "Damage modelling of adhesively bonded joints." International Journal of Fracture 141, no. 1-2 (2006): 147–61. http://dx.doi.org/10.1007/s10704-006-0072-9.

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23

Kuczma, Mieczysław, and Krzysztof Kula. "Modelling of composite plates including damage." PAMM 6, no. 1 (2006): 175–76. http://dx.doi.org/10.1002/pamm.200610068.

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24

Lee, B. C., and W. J. Staszewski. "Lamb wave propagation modelling for damage detection: II. Damage monitoring strategy." Smart Materials and Structures 16, no. 2 (2007): 260–74. http://dx.doi.org/10.1088/0964-1726/16/2/004.

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25

Talreja, R. "Damage development in composites: Mechanisms and modelling." Journal of Strain Analysis for Engineering Design 24, no. 4 (1989): 215–22. http://dx.doi.org/10.1243/03093247v244215.

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This paper presents first a review of the mechanisms of damage and its development in composite materials subjected to mechanical loads. The materials considered are thermosetting polymers reinforced with short or long fibres of glass or carbon. Laminates with woven fabric are also considered. A discussion regarding how the essential features of the damage mechanisms may be incorporated in a modelling approach is then given. Two basically different but complementary approaches, namely, micromechanics modelling and continuum damage modelling, are described. The present author's own approach using the internal variables concept is discussed at some length, and the predictions of elastic property degradation given by it are illustrated by experimental data. This paper is an updated and expanded version of a previous paper written by the author (32).

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26

ten Veldhuis, J. A. E., and F. H. L. R. Clemens. "Flood risk modelling based on tangible and intangible urban flood damage quantification." Water Science and Technology 62, no. 1 (2010): 189–95. http://dx.doi.org/10.2166/wst.2010.243.

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The usual way to quantify flood damage is by application stage-damage functions. Urban flood incidents in flat areas mostly result in intangible damages like traffic disturbance and inconvenience for pedestrians caused by pools at building entrances, on sidewalks and parking spaces. Stage-damage functions are not well suited to quantify damage for these floods. This paper presents an alternative method to quantify flood damage that uses data from a municipal call centre. The data cover a period of 10 years and contain detailed information on consequences of urban flood incidents. Call data are linked to individual flood incidents and then assigned to specific damage classes. The results are used to draw risk curves for a range of flood incidents of increasing damage severity. Risk curves for aggregated groups of damage classes show that total flood risk related to traffic disturbance is larger than risk of damage to private properties, which in turn is larger than flood risk related to human health. Risk curves for detailed damage classes show how distinctions can be made between flood risks related to many types of occupational use in urban areas. This information can be used to support prioritisation of actions for flood risk reduction. Since call data directly convey how citizens are affected by urban flood incidents, they provide valuable information that complements flood risk analysis based on hydraulic models.

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27

Yun, Wi-Ryong, Kumchol Yun, and Kukjin Kim. "An anisotropic damage model combined with a tracking algorithm for modelling crack propagation." Strength, Fracture and Complexity 14, no. 2 (2022): 89–109. http://dx.doi.org/10.3233/sfc-210282.

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The development of a simple and efficient methodologies for numerically analyzing the material fracture process is very important in the field of computational mechanics. Damage mechanics approaches are still applied to fracture numerical analyses of many engineering practice problems. This paper focuses on the numerical prediction of crack propagation and fracture behavior by the combination of anisotropic damage model and tracking algorithm. In general, anisotropic damage models may be misunderstood to be used only in the simulations of anisotropic materials. However, it can be used for the anisotropic stiffness matrix induced by the crack plane in damaged isotropic materials. Although it is well known that the anisotropic damage model is superior to the isotropic damage model in fracture simulations, most of studies have combined the isotropic damage model and tracking algorithm, and few studies combine the anisotropic damage model and tracking algorithm. The issues of successfully combining the anisotropic damage model and crack tracking algorithm are addressed in this study. The anisotropic damage model is improved and a local tracking algorithm based on crack surface discretization is also modified. Various crack propagation problems are analyzed numerically to demonstrate the superior performance of the proposed approach.

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28

Catbas, F. Necati, Hasan Burak Gokce, Mustafa Gul, and Dan M. Frangopol. "Movable bridges: condition, modelling and damage simulations." Proceedings of the Institution of Civil Engineers - Bridge Engineering 164, no. 3 (2011): 145–55. http://dx.doi.org/10.1680/bren.2011.164.3.145.

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29

Alizadeh, Ali, and Behrouz Gatmiri. "Plasto-damage modelling for semi-brittle geomaterials." E3S Web of Conferences 9 (2016): 17005. http://dx.doi.org/10.1051/e3sconf/20160917005.

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30

Tsymbaliuk, Vitaliy, Mikhail Shamaev, Tatyana Malysheva, Yulia Tsymbalyuk, and Volodymyr Medvediev. "Rabbit's optic nerve intracranial traumatic damage modelling." Ukrainian Neurosurgical Journal, no. 2 (June 10, 2011): 42–45. http://dx.doi.org/10.25305/unj.57888.

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31

Mishnaevsky, L. "Damage Mechanisms of Hierarchical Composites: Computational Modelling." Physical Mesomechanics 18, no. 4 (2015): 416–23. http://dx.doi.org/10.1134/s102995991504013x.

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32

Stolz, Claude. "A new approach of graded damage modelling." Mathematics and Mechanics of Solids 24, no. 6 (2018): 1922–34. http://dx.doi.org/10.1177/1081286518810068.

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To prevent the problem of spurious localisation in damage mechanics, it is necessary to control the damage gradient amplitude. The body is decomposed in three domains: the undamaged body where ([Formula: see text]), the transition zone ([Formula: see text]) and the totally broken body ([Formula: see text]). For the thick level set (TLS) model, damage is a function of the signed distance to the surface [Formula: see text]. In this article, we propose to control the damage gradient using a convex internal constraint. This point of view produces a new description of graded damage. Analytical solutions on spheres and cylinders under radial loading are given and discussed. For particular internal constraints, the TLS results are recovered.

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33

Pijaudier-Cabot, Gilles, and Ludovic Jason. "Continuum damage modelling and some computational issues." Revue Française de Génie Civil 6, no. 6 (2002): 991–1017. http://dx.doi.org/10.1080/12795119.2002.9692728.

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34

Gelin, J. C. "Modelling of damage in metal forming processes." Journal of Materials Processing Technology 80-81 (August 1998): 24–32. http://dx.doi.org/10.1016/s0924-0136(98)00207-6.

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35

Arson, C., and B. Gatmiri. "On damage modelling in unsaturated clay rocks." Physics and Chemistry of the Earth, Parts A/B/C 33 (January 2008): S407—S415. http://dx.doi.org/10.1016/j.pce.2008.10.006.

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36

YILONG, B., K. FUJIU, and L. LIMIN. "STATISTICAL MODELLING OF DAMAGE EVOLUTION IN SPALLATION." Le Journal de Physique Colloques 49, no. C3 (1988): C3–215—C3–221. http://dx.doi.org/10.1051/jphyscol:1988331.

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37

Shao, J. F., D. Hoxha, M. Bart, et al. "Modelling of induced anisotropic damage in granites." International Journal of Rock Mechanics and Mining Sciences 36, no. 8 (1999): 1001–12. http://dx.doi.org/10.1016/s1365-1609(99)00070-2.

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38

Schlu¨ter, N., F. Grimpe, W. Bleck, and W. Dahl. "Modelling of the damage in ductile steels." Computational Materials Science 7, no. 1-2 (1996): 27–33. http://dx.doi.org/10.1016/s0927-0256(96)00056-0.

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39

Johnson, H. E., L. A. Louca, S. Mouring, and A. S. Fallah. "Modelling impact damage in marine composite panels." International Journal of Impact Engineering 36, no. 1 (2009): 25–39. http://dx.doi.org/10.1016/j.ijimpeng.2008.01.013.

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40

Challamel, Noël, Christophe Lanos, and Charles Casandjian. "Creep damage modelling for quasi-brittle materials." European Journal of Mechanics - A/Solids 24, no. 4 (2005): 593–613. http://dx.doi.org/10.1016/j.euromechsol.2005.05.003.

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41

Steglich, D., A. Pirondi, N. Bonora, and W. Brocks. "Micromechanical modelling of cyclic plasticity incorporating damage." International Journal of Solids and Structures 42, no. 2 (2005): 337–51. http://dx.doi.org/10.1016/j.ijsolstr.2004.06.041.

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42

Guiamatsia, I., B. G. Falzon, G. A. O. Davies, and L. Iannucci. "Element-Free Galerkin modelling of composite damage." Composites Science and Technology 69, no. 15-16 (2009): 2640–48. http://dx.doi.org/10.1016/j.compscitech.2009.08.005.

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43

Papanikos, P., K. I. Tserpes, G. Labeas, and Sp Pantelakis. "Progressive damage modelling of bonded composite repairs." Theoretical and Applied Fracture Mechanics 43, no. 2 (2005): 189–98. http://dx.doi.org/10.1016/j.tafmec.2005.01.004.

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44

Zahedmanesh, Houman, Nele Famaey, Caitrona Lally, Jos Vander Sloten, and Hans Van Oosterwyck. "MECHANOBIOLOGICAL MODELLING OF DAMAGE INDUCED ARTERIAL STENOSIS." Journal of Biomechanics 45 (July 2012): S469. http://dx.doi.org/10.1016/s0021-9290(12)70470-0.

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45

Gasser, A., P. Ladeveze, and P. Peres. "Damage modelling for a laminated ceramic composite." Materials Science and Engineering: A 250, no. 2 (1998): 249–55. http://dx.doi.org/10.1016/s0921-5093(98)00598-x.

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46

Alamilla, J. L., M. A. Espinosa-Medina, and E. Sosa. "Modelling steel corrosion damage in soil environment." Corrosion Science 51, no. 11 (2009): 2628–38. http://dx.doi.org/10.1016/j.corsci.2009.06.052.

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47

Calvo, B., E. Peña, P. Martins, et al. "On modelling damage process in vaginal tissue." Journal of Biomechanics 42, no. 5 (2009): 642–51. http://dx.doi.org/10.1016/j.jbiomech.2008.12.002.

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48

McCartney, LN. "Energy methods for modelling damage in laminates." Journal of Composite Materials 47, no. 20-21 (2012): 2613–40. http://dx.doi.org/10.1177/0021998312468188.

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49

Trachenko, Kostya O., Martin T. Dove, and Ekhard K. H. Salje. "Atomistic modelling of radiation damage in zircon." Journal of Physics: Condensed Matter 13, no. 9 (2001): 1947–59. http://dx.doi.org/10.1088/0953-8984/13/9/317.

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50

Morozov, E. V., K. E. Morozov, and V. Selvarajalu. "Progressive damage modelling of SMC composite materials." Composite Structures 62, no. 3-4 (2003): 361–66. http://dx.doi.org/10.1016/j.compstruct.2003.09.037.

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