| Summary: | 碩士 === 國立臺灣科技大學 === 營建工程系 === 101 === Mountains and hills take up two-thirds of the total territory of Taiwan, transportation net works constantly expand along with economic developments and growing city spaces, building numerous bridges is the solution to overcome the natural barriers and obstacles. Maintenance and management is a very important issue while facing such a large number of bridges. Making budget for bridge maintenance usually depends on previous experiences as guideline. However, this somehow will cause troubles for bridge maintain department such as under budge, doubt of resource exclusions and poor execution. An appropriate code of conducts in order to evaluate the bridge database and accurately estimate funding for bridge maintenance will be able to assist management department to make decisions for budgeting and distribution which will improve bridge performances, safety and keep the transportation system in function.
The most accurate way to assess the funding for bridge maintenance is the application of instruments. However, the cost and time consumption is stunning if the number of the required bridge is huge. Currently, visual detection is one of the practical methods, there is none damage to the structure of bridge, simple, easy applied, efficient and low cost. "Taiwan bridge management system" is now using DER & U visual detection evaluation method, according to four categories of “Degree”, “Extend”, “Relevancy”, and “Urgency” then fills the survey with the found defects as a result.
This research will use the 21 examining items from the regular bridge survey sheet as a basis of model factors and organizes into desired format then using SPSS correlation analysis, and screening the relevance between factors and maintenance expenses. Then select 16 qualified evaluated factors as model factors. Applies Evolutionary Least Squares Support Vector Machine Inference Model (ELSIM) to learn from previous cases and experiences, summarized expert decision-making process and
logic of analysis, establish the model of estimating bridge maintenance funding and support decision makers to decide and rational allocate maintenance funds to enhance the effectiveness of decision-making from construction management.
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