Abstract
The mechanical characterization of materials and the non-destructive assessment of possible damages in industrial plant components and in civil engineering structures and infrastructures is a problem which at present arises more and more frequently and acquires growing importance in both experimental and computational mechanics. The survey presented here concerns some representative, practically meaningful typical problems of this kind recently or currently tackled by our research team. It is intended to evidence the central role played by computer methods and by procedures of numerical mathematics, including soft computing, for the practical solutions of inverse analysis problems in real-life situations. The engineering applications dealt with herein concern steel pipelines and metal industrial components typical of the oil industry and existing large concrete dams possibly deteriorated by physico-chemical processes like alkali-silica reactions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ageno, M., Bolzon, G., Maier, G.: Mechanical characterisation of free-standing elastoplastic foils by means of membranometric measurements and inverse analysis. Structural and Multidisciplinary Optimization 38, 229–243 (2009)
Ahmed, T., Burley, E., Rigden, S., Abu-Tair, A.: The effect of alkali reactivity on the mechanical properties of concrete. Construction and Buliding Materials 17, 123–144 (2003)
Amadei, B., Stephansson, O.: Rock stress and its measurements. Champion and Hall, London (1997)
Ardito, R., Maier, G., Massalongo, G.: Diagnostic analysis of concrete dams based on seasonal hydrostatic loading. Engineering Structures 30, 3176–3185 (2008)
Bocciarelli, M., Maier, G.: Indentation and imprint mapping method for identification of residual stresses. Computational Materials Science 39, 381–392 (2007)
Bolzon, G., Bocciarelli, M., Chiarullo, E.J.: Mechanical characterisaion of materials by microindentation and AFM scanning. In: Bhushan, B., Fuchs, H. (eds.) Applied Scanning Probe Methods XII - Characterization. Springer, Berlin (2008)
Bolzon, G., Maier, G., Panico, M.: Material model calibration by indentation, imprint mapping and inverse analysis. International Journal of Solids and Structures 41, 2957–2975 (2004)
Buhmann, M.D.: Radial Basis Functions. Cambridge University Press, Cambridge (2003)
Bui, H.D.: Inverse problems in the mechanics of materials: an introduction. CRC Press, London (1994)
Chatterjee, A.: An introduction to the proper orthogonal decomposition. Current Science 78(7), 808–817 (2000)
Coleman, T.F., Li, Y.: An interior trust region approach for nonlinear minimization subject to bounds. SIAM Journal of Optimization 6(2), 418–445 (1996)
Comi, C., Fedele, R., Perego, U.: A chemo-thermo-damage model for the analysis of concrete dams affected by alkali-silica reaction. Mechanics of Materials 41(3), 210–230 (2009)
Fedele, R., Maier, G.: Flat-jack test and inverse analysis for the identification of stress states and elastic properties in concrete dams. Meccanica 42, 387–402 (2007)
Fedele, R., Maier, G., Miller, B.: Identification of elastic stiffness and local stresses in concrete dams by in situ tests and neural networks. Structure and Infrastructure Engineering 1(3), 165–180 (2005)
Fedele, R., Maier, G., Miller, B.: Health assessment of concrete dams by overall inverse analyses and neural networks. Int. J. of Fracture 137, 151–172 (2006)
Giannessi, F.: Constrained optimization and image space. Springer, New York (2005)
Gregorczyk, R., Lourenco, P.B.: A review on flat-jack testing. Engenharia Civil 9, 39–50 (2000)
Gu, Y., Nakamura, T., Prchlik, L., Sampath, S., Wallace, J.: Micro-indentation and inverse analysis to characterize elastic-plastic graded materials. Materials Science and Engineering 345, 223–233 (2003)
Haykin, S.: Neural networks: A Comprehensive Foundation, 2nd edn. Prentice Hall, Englewood Cliffs (1998)
James, M.N., Hughes, D.J., Chen, Z., Lombard, H., Hattingh, D.G., Asquith, D., Yates, J.R., Webster, P.J.: Residual stresses and fatigue performance. Engineering Failure Analysis 14, 384–395 (2007)
Kleiber, M., Antunez, H., Hien, T.D., Kowalczyk, P.: Parameter sensitivity in non-linear mechanics. John Wiley, Chichester (1997)
Ly, H.V., Tran, H.T.: Modeling and control of physical processes using proper orthogonal decomposition. Mathematical and Computer Modeling 33, 223–236 (2001)
Maier, G., Bocciarelli, M., Bolzon, G., Fedele, R.: Inverse analyses in fracture mechanics. Plenary Lecture, 11th International Conference on Fracture. Int. J. of Fracture 138, 47–73 (2006)
McClung, R.C.: A literature survey on the stability and significance of residual stresses during fatigue. Fatigue & Fracture of Engineering Materials and Structures 30(3), 137–205 (2007)
Oliver, W.C., Pharr, G.M.: An improved techniques for determining hardness elastic modulus using load and displacement sensing indentation experiments. Journal of Materials Research 7, 176–181 (1992)
Ostrowski, Z., Białecki, R.A., Kassab, A.J.: Estimation of constant thermal conductivity by use of Proper Orthogonal Decomposition. Computational Mechanics 37, 52–59 (2005)
Ostrowski, Z., Białecki, R.A., Kassab, A.J.: Solving inverse heat conduction problems using trained POD-RBF network. Inverse Problems in Science and Engineering 16(1), 705–714 (2008)
Réthoté, J., Hild, F., Roux, S.: Extended digital image correlation with crack shape optimization. International Journal for Numerical Methods in Engineering 73, 248–272 (2008)
Waszczyszyn, Z.: Neural networks in the analysis and design of structure. Springer, Wien, New York (1999)
Zhao, F., Huang, Y., Hwan, K.C.: Determination of uniaxial residual stress and mechanical properties by instrumented indentation. Acta Materialia 54(10), 2823–2832 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Berlin Heidelberg
About this chapter
Cite this chapter
Maier, G., Bolzon, G., Buljak, V., Garbowski, T., Miller, B. (2010). Synergic Combinations of Computational Methods and Experiments for Structural Diagnoses. In: Kuczma, M., Wilmanski, K. (eds) Computer Methods in Mechanics. Advanced Structured Materials, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05241-5_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-05241-5_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05240-8
Online ISBN: 978-3-642-05241-5
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)