Feasibility of Beam Reinforcement Optimization for Practical Application

• Main Authors: You-Ran Nai, 乃宥然
• Other Authors: 張國鎮
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/c5263g

碩士 === 國立臺灣大學 === 土木工程學研究所 === 107 === The optimization of beam reinforcement is a method of properly arranging the reinforcement in the reinforced concrete beam. Compared to the current reinforcement designing method (hereinafter referred to as the current method), the optimized reinforcement can use less reinforcement to achieve the design strength. According to "Design Code for Concrete Structures", this paper proposes two methods for optimizing the flexural reinforcement and the method of optimizing the shear reinforcement. This study compares the differences between the optimal reinforcement method and the current method and discusses the factors affecting the optimal reinforcement method compared with the current method. The numerical structure design is carried out with various factors affecting the optimal reinforcement effect, and to quantify the influence of these factors on the optimal reinforcement method and the current method. And further review the results of the reinforcement of the two, to propose that the environment suitable for optimal reinforcement is (1) small ratio of lateral force to gravity (2) longer beam (3) parameters affecting development length shorter (4) smaller beam section depth. This study uses the numerical analysis model of the actual building to verify the expected benefits of optimized reinforcement. Even though there is no case of applying the optimized reinforcement to engineering practice, this study still initially discusses the balance between the material cost and the possible increase of construction cost. To verify the seismic performance of the optimized reinforcement. The seismic performance of the optimal reinforcement method and the current method, evaluate by capacity spectrum method, modal pushover analysis, multi-modes combination method, nonlinear dynamic analysis, and incremental dynamic analysis.