Abstract
Shell structures belong to a characteristic group of objects for which it is essential to know the magnitude and distribution of local deformations of the coat. Deformations may be important both in terms of stability, as well as special functions performed by these objects. While survey instruments usually ensure the required accuracy of the measurements, the methods for providing a mathematical description of the shape of shells do not always allow for a correct detection of deformations. This paper compares several methods of approximation potentially useful for making a precise description of the shape of a given shell object. Spline functions, as the most versatile tool in terms of description of objects shape, were adopted as the base method. For comparison purposes, according to the shape of the object in question, kriging and Fourier series methods were selected. Particular attention has been paid to the accuracy aspect, which has enabled deformations to be determined within centimeter or subcentimeter accuracy. Results of the study revealed the greatest overall accuracy of spline functions. This accuracy however decreases quickly when the observations become more irregular. Both, the past and future studies of the authors focus on integrating the best features of the described methods in order to ensure a high accuracy of the created models. The results may be useful not only in surveying but also in other fields associated with the approximation of surfaces based on measurement data.
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References
Ahlberg, J. H., Nilson, E. N., and Walsh, J. L. (1967). The theory of splines and their applications, Academic Press Inc., New York.
Csanyi, N. and Toth, C. K. (2005). Some aspects of using Fourier analysis to support surface modeling, Pecora 16 Global Priorities in Land Remote Sensing ASPRS, Sioux Falls, USA.
Davis, J. C. (1973). Statistics and data analysis in geology, John Wiley & Sons, Inc.
De Boor, C. (1978). A practical guide to splines, Springer-Verlag, New York.
Diercx, P. (1995). Curve and surface fitting with splines, Oxford Press, New York.
Dubrule, O. (1983). “Two methods with different objectives: Splines and kriging.” Math. Geol., Vol. 15, No.2, pp. 245–257.
Farin, G. (2001). Curves and surfaces for CAGD, Elsevier, Oxford.
Floater, M. S. and Surazhsky, T. (2006). “Parametrization for curve interpolation.” Studies in Computational Mathematics, Vol. 12, pp. 39–54.
Goovaerts, P. (1997). Geostatistics for natural resources evaluation, Oxford University Press, New York.
Higgins, J. R. (1996). Sampling theory in fourier and signal analysis: Foundation, Oxford University Press, Oxford.
Hwang, J-Y. (2004). “Getechnical monitoring by digital precise Photogrammetry.” KSCE Journal of Civil Engineering, KSCE, Vol. 8, No. 5, pp. 505–512.
Journel, A.G. and Huijbregts, C. J. (2003). Mining geostatistics, The Blackburn Press, Caldwell, New Jersey.
Kiciak, P. (2000). Podstawy modelowania krzywychi powierzchni, WNT, Warszawa.
Laslett, G. M. (1994). “Kriging and splines: An empirical comparison of their predictive performance in some applications.” Journal of the American Statistical Association, Vol. 89, pp. 391–400.
Lee I. S., Lee J. O., Park H. J., and Bae K. H. (2010) “Investigations into the influence of object characteristics on the quality of terrestrial laser scanner data.” KSCE Journal of Civil Engineering, KSCE, Vol. 14, No. 6, pp. 905–913.
Lenda, G. and Ligas, M. (2011). “Application of splines supported by kriging for precise shape analysis of incompletely measured structures.” J. Comput. Civil Eng., (in press).
Matheron, G. (1981). “Splines and kriging: Their formal equivalence. D.F. Merriam (Ed.), Down-to-earth statistics: Solutions looking for geological problems.” Syracuse Univ. Geology Contributions, Vol. 8, pp. 77–95.
Priestley, M. B. (1981). Spectral analysis and time series, Academic Press, New York.
Rönnholm, P., Pöntinen, P., Nuikka, M., Suominen, A., Hyyppä, H., Kaartinen, H., Absetz, I., Hirsi, H., and Hyyppä, J. (2006). “Experiments on deformation measurements of “Helsinki Design Week 2005” info pavilion.” IAPRS, Vol. 36, No. 5, pp. 273–278.
Scherer, M. and Lerma, J. L. (2009). “From the conventional total station to the prospective image assisted photogrammetric scanning total station: Comprehensive review.” Journal of Surveying Engineering, Vol. 135, No. 4, pp. 173–178.
Vretblad, A. (2003). Fourier analysis and its application, Springer-Verlag, New York.
Watson, G. S. (1984). “Smoothing and Interpolation by Kriging and with Splines.” Math. Geol., Vol. 16, No. 6, pp. 601–615.
Zygmund, A. (1988). Trigonometric series, Cambridge University Press.
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Lenda, G., Ligas, M. & Marmol, U. Determining the shape of the surface of shell structures using splines and alternative methods: Kriging and Fourier series. KSCE J Civ Eng 18, 625–633 (2014). https://doi.org/10.1007/s12205-014-0366-9
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DOI: https://doi.org/10.1007/s12205-014-0366-9