| 研究生: |
郭德侯 Saputra, Adho Triananta |
|---|---|
| 論文名稱: |
超高性能纖維混凝土複合鋼承板之分段分析 Segmental Analysis of Steel Ultra High Performance Fiber Reinforced Concrete (UHPFRC) Composite Slab |
| 指導教授: |
阿力
Sturm, Alexander |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 土木工程學系 Department of Civil Engineering |
| 論文出版年: | 2024 |
| 畢業學年度: | 112 |
| 語文別: | 英文 |
| 論文頁數: | 94 |
| 中文關鍵詞: | 超高性能纖維混凝土(UHPFRC)複合板 、分段分析 、彎矩-曲率 、載荷-撓度行為 |
| 外文關鍵詞: | Steel Ultra High Performance Fiber Reinforced Concrete (UHPFRC) Composite Slabs, Segmental analysis, Moment-Curvature, Load-deflection behavior |
| 相關次數: | 點閱:37 下載:4 |
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本研究通過分析方法和實驗驗證研究了超高性能纖維混凝土(UHPFRC)複合板的彎曲性能。目前的方法,例如m-k和部分剪力連接(PSC)方法,雖然有效,但需要廣泛的全尺寸測試,並且缺乏全面的機械模型。本研究提出了一種基於彎矩-曲率模型的分段分析的解析模型,以解決這些識別出的空白。該研究進行了分段分析,並將結果與實驗數據進行了驗證。結果表明,較短的剪力跨度顯著提高了複合板的彎曲能力。具體而言,剪力跨度為400毫米的試體顯示出最高的承載能力,而剪力跨度較長的試體(800毫米和1200毫米)顯示出逐漸降低的承載能力。結果還表明,較高的纖維體積(2%)在較短跨度內提高了峰值載荷能力,但在較長跨度內則沒有。使用彎矩-曲率方法的分段分析有效預測了載荷-撓度行為,準確捕捉了初始彎曲行為和峰值載荷。然而,峰值後行為顯示出差異,強調了需進一步完善解析模型。提出的分段分析方法提供了一種可靠的彎曲行為預測,有助於開發更有效的結構分析。
This study investigates the flexural performance of Steel Ultra High Performance Fiber Reinforced Concrete (UHPFRC) Composite Slabs through an analysis approach and experimental validation. Current methods, such as the m-k and Partial Shear Connection (PSC) approach, while effective, require extensive full-scale testing and lack comprehensive mechanical models. This research proposes an analytical model using segmental analysis based on the moment-curvature model to address the identified gaps. The study involved conducting segmental analysis and validating the results with experimental data. The findings demonstrate that shorter shear spans significantly enhance the flexural capacity of composite slabs. Specifically, specimens with 400 mm shear spans exhibited the highest load-carrying capacities, while those with longer shear spans (800 mm and 1200 mm) showed progressively lower capacities. The results also indicated that a higher fiber volume (2%) enhances peak load capacity in shorter spans but not in longer spans. The segmental analysis using the moment-curvature approach effectively predicted the load-deflection behavior, capturing initial flexural behavior and peak loads accurately. However, the post-peak behavior showed discrepancies, highlighting the need for further refinement of the analytical model. The proposed segmental analysis method provides a reliable prediction of flexural behavior, contributing to the development of more efficient structural analysis.
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