A Study on Effective Factors of Construction Performance Evaluation

• Main Authors: Shih-yeh Yeh, 葉石野
• Other Authors: Nai-Hsin Pan
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/31412320460912285941

碩士 === 國立雲林科技大學 === 營建工程系碩士班 === 99 === Cement concrete accounts for a large percentage in materials of construction engineering. After the 921 earthquake, R.C. structure becomes equipped with dense reinforcing steel to raise their resistance to quake, which also increases the difficulty of grouting concrete. It’s observed that the ordinary portland cement (OPC) used before may lead to tough construction work for architecture structure with large variety of size and exceptional appearance, and even may lead to poor construction achievement, which further leads to damage and collapse of the R.C. structure. To achieve the high quality in constructions of concrete, our country has advocated construction automation in these years, having developed self-compacting concrete (SCC), which has good characteristic of grouting. The development and application of SCC not only can solve the problem of concrete grouting, but also dispense with the work of vibration and compaction. This material also helps us to achieve some important targets of contruction automation such as effort-saving, labor-saving, and reducing duration of construction. However, as the number of cases of using this material increases, more problems in practice are found. Therefore, we need a set of effective factors of construction performace evaluation of SCC. Motivated by this need, first we review advantages and disadvantages of SCC with its special material character in different aspects from related literature. Second, we argue and discuss the nature and common problem of SCC in a context from mix design proportion, production, construction in practice, quality control and management. Finally we make interviews with experts and integrate their opinions and our previous argument of effective factors into total 22 factors inside. Then we design and distribute questionnaires with these factors. After principle factor analysis, we construct five new categories including “Nature of Material”, “Cost”, “Management”, “Durability and Effectiveness”, and “Environmental Protection” along with final 21 factors inside. We hope this research can provide a reference and feedback for the industry to help achieve construction automation and to improve quality of construction engeneering.