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A novel method for prediction of the load carrying capacity of a corroded reinforced concrete beam (CRCB) is presented in the paper. Nine reinforced concrete beams, which had been working in an aggressive environment for more than 10 years, were tested in the laboratory. Comprehensive tests, including flexural test, strength test for corroded concrete and rusty rebar, and pullout test for bond strength between concrete and rebar, were condueted. The flexural test results of CRCBs reveal that the distribution of surface cracks on the beams shows a fractal behavior. The relationship between the fractal dimensions and mechanical properties of CRCBs is then studied. A prediction model based on artificial neural network (ANN) is established by the use of the fractal dimension as the corrosion index, together with the basic intbrmation of the beam. The validity of the prediction model is demonstrated through the experimental data, and satisfactory resuits are achieved. 相似文献
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林功丁 《地质灾害与环境保护》2004,15(4):70-72
建筑物基础防水土腐蚀的措施．关系到建筑物的安全性与耐久性。本文根据国家有关标准的规定．对建筑物基础的腐蚀类型与腐蚀性评价问题进行归纳与论述．并针对不同的腐蚀类型与腐蚀性等级要求,给出了天然地基基础和桩基础的具体防护措施。 相似文献
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