The development of computational routine for deformation modelling and analysis: a case for two-dimensional geodetic technique

• Main Authors: Bidi, Nur Khalilah, Md. Som, Zainal Abidin, Md. Din, Ami Hassan, Omar, Abdullah Hisam
• Format: Book Section
• Published: Springer Nature Singapore Pte Ltd 2018
• Subjects: G Geography (General)
• Online Access: http://eprints.utm.my/id/eprint/96576/; http://dx.doi.org/10.1007/978-981-10-8016-6_54

Nowadays, deformation monitoring survey includes numerous tasks, for example monitoring of engineering structures such as dam and bridges, land subsidence, earthquakes and other related applications. As a result, many professional groups such as surveyors and structural engineers, besides geophysics and geologists study the deformation analysis as a rigorous subject. Deformation measurements and analysis using geodetic method is one of the complicated and challenging works that need to be undertaken by land surveyors. The result of deformation analysis is to be used by other professions such as engineers, geodesists and geophysics as well. However, they are not really interested in the geometrical analysis (i.e. coordinate difference). Actually, they required the result of deformation modelling which is the deformation parameter that related to their field of study. Here shows the importance of information on deformation modelling instead of geometrical analysis and when its need to be performed. This study focused on the development of deformation modelling computational routine and subsequently been incorporated into an existing deformation analysis package. Deformation modelling is the stage to produce the right mathematical model from the result of deformation analysis (trend analysis) with relevant deformation parameter. The computational routine developed to analyse survey data obtained by the conventional geodetic technique in 2 dimension. In order to do deformation analysis, MATLAB program has been used to solve all the computation process. As a result, the ‘best’ model has been selected among the five models tested. The best model showed what type of deformation occurs on the body of the simulation network. The outcomes of the research have also improved from previous software and the results obtained were good and practicable to this study.