Cover image for Functional and stochastic models for geometrical detection of spatial deformation in engineering : a practical approach
Title:
Functional and stochastic models for geometrical detection of spatial deformation in engineering : a practical approach
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Publication Information:
London : City University, 1995
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Loan in microfilm form only : MFL 8300 ra
Abstract:
The objective of this study is to formulae a simpple and practical but rigourous two-step analysis procedure for the geometrical detection of spatial deformation using geodetic methods. A thorough and critical study of theory and current practice of deformation monitoring has been undertaken, and a prctical scheme has been developed for 3-D least squares estimation (LSE) and one-stage detection procedure (i.e. stability determination and localization of spatial deformation) via two-epoch analysis. In LSE, a simple datum definaition via minimum constraints with fixed coordinates has been adopted; a strategy for rank defect analysis of normal equations by simplified eigenvalue decomposition (EVD) has been formulated; a mathematical model for additional parameters and pseudo observables (distance differences and ratios) has been extended and established for 3-D application; a procedure for handling of algebraically correlated pseudo observations via observation de-corelation has been established; a procedure for robustified LSE for multiple gross errors detection has been formulated and its effects has been dderived; a simplemethod of variance component estimation (VCE) has been extended; and the use of global and local tests and reliability analyses in LSE has been presented. In deformation detection, a stratefy for determination of commmon stations between epochs via S-tansformations and partitioning has been developed; a flexible one-stage computational procedure for geometical detection of spatial deformation bi iterative congruency testing and S-transformations has been established; the robust method for deformation detection has been modified to allow one-stagecomputation; and general S-transformations equations have been applied in all cases. This developed strategy has been implemented in five computer programs (ESTIMATE, COMPS, COMMON, DETECT and ROBUST). The developed programs can be executed either on an IBM based perpsonal computer (PC) or under the UNIX environment. Links between these programs and two of the Engineering Surveying Research Centre's (ESRC) programs (GAP and DCRE) have been established. The programs have been sucessfully applied and evaluated using simulated and real data. Five realphotogrammetric monitoring schemes undertaken by the ESRC, with up to 169 stations, were analysed for detecting the significance of spatial deformation between epochs. The results obtained confirmed the suitability of the strategy in practical applications. Further refinement to the developed programs are suggested to make them more user friendly. Further possible research activities include a combined or integrated approach for deformation analysis and real time deformation monitoring.
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Thesis (PhD) - City University, 1995

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30000002754665 QA275 H25 1995 raf Closed Access Thesis UTM PhD Thesis (Closed Access)
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