Probabilistic prediction of tunnel geological profiles by applying geographic information system and statistic inference

• Main Authors: Tzyy-Min Huang, 黄子王民
• Other Authors: 王泰典
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/wu3848

碩士 === 國立臺北科技大學 === 資源工程研究所 === 100 === In a tunnel geology survey, a geology section map is a substantial expression of an integration that incorporates existing geological data with results of surface geology survey, geophysics exploration and borehole survey, key information to tunnel engineering and construction. Currently, tunnel geology section maps are mostly surveyed and drafted based on objective judgments of geologists, results of which are affected by personal experience and are expressed in certain forms of ratios that may have provided basic necessities for the design and construction tasks but are insufficient to manifest the extent of different risks along the tunnel route. It is therefore difficult to determine the timing for applying an advanced survey accordingly, and it adversely affects the implementation of measures for risk management and sharing, constructional pre-alarm and damage mitigation. This paper combines spatial data system (Geomatics) with statistical reduction methods for finding the distribution pattern of versatile data and their corresponding parameters, so as to derive predictive probabilities of tunnel geology sections via geology survey data and compose a user-friendly interface program using the ESRI ArcScene software. The main procedures comprise: (1) Converting Digital Terrain Model, DTM into Triangulated Irregular Network for constructing a high-precision 3D terrain model; (2) using the built-in VBA (visual basic for application) of the ArcScene software, develop a statistical module of geology survey data to estimate the distribution pattern and probability of the examined data; (3) predicting the characteristic and probability of the spatial distribution based on parameters attained from the site survey and the statistical estimation; (4) outputting geological data and probability required for drafting the tunnel geology section map via the plot function. The paper introduces all these methods and explains their applications using an example of a tunnel in northern Taiwan.