影像分析於混凝土結構裂縫特徵之應用

Application of image analysis to measurements of crack characteristics on reinforced concrete structures

蔣大衛(Da-Wei Jiang)

指導教授 ： 黃仲偉

中原大學/工學院/土木工程研究所/碩士(2013年)

https://doi.org/10.6840/cycu201301062

摘要

混凝土是土木工程中最重要也是最常見的材料之一，在混凝土破壞的過程中裂縫會隨之出現，而表面之裂縫是最為明顯且容易量測的指標。藉由觀察表面裂縫的特徵與分佈可協助了解混凝土的力學行為以及潛在的破壞形式。本研究利用影像量測的方式計算混凝土破壞過程中的裂縫特徵，包含裂縫總長度、總寬度、密度、最大裂縫長度與最大裂縫寬度等項目。影像量測的優點在於自動化與正確性，且可較肉眼更早觀測出裂縫的存在。此外，由混凝土試體單軸壓縮實驗所得之裂縫特徵，可進一步探討出混凝土強度與裂縫特徵之間的關係，以及不同鋼纖維含量、鋼筋間距下混凝土的破壞模式。此一結果可與大型混凝土結構實驗中所得的裂縫特徵相比對，日後應可用於含裂縫混凝土結構之安全推估。

關鍵字

破壞模式 ； 單軸壓縮實驗 ； 裂縫特徵 ； 影像量測 ； 混凝土

並列摘要

Concrete which usually fails due to cracks is the most common material in civil engineering. Surface cracks on concrete are obvious and easily identified, which could be adopted as a failure index. Monitoring the characteristics and distribution of surface cracks of concrete is conducive to understand the mechanical behaviors and potential failure mechanism of concrete structures. In measurement of the cracks, the digital image measurements, compared with traditional artificial techniques, have advantages in terms of automation and accuracy. As a result, digital image measurements are applied in this research to measure the characteristics of surface cracks during the failure of concrete samples. The crack characteristics include crack density, maximum crack length, maximum crack width, and crack spacing, etc. With the data of uniaxial compressive tests of concrete samples, we can obtain the regressive laws between concrete strength and crack characteristics. These results can be verified with the surface cracks obtained from large-scale experiments of reinforced concrete structures.

並列關鍵字

Facture mechanism ； Crack characteristics ； Concrete ； Digital image measurement

參考文獻

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