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Inconstant Inertia Weight for Boundary Element Inverse Analysis to Detect RC Corrosion

机译:惯性权重用于边界元反分析以检测RC腐蚀

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Detecting the corrosion of reinforcing steel in concrete is important in order to prevent early failure of reinforced concrete (RC) structures. On the other hand, the conventional methods as the half-cell potential method still have limitations to detect the corrosion. Hence, the development of a computational method to overcome the limitations is very promising. One of the methods is boundary element inverse analysis (BEIA). However, the influence of numerical parameters on the performance of BEIA still needs to be explored. The aim of this research is to study the effect of inconstant inertia weight (W) on BEIA in order to locate reinforcing steel/rebar corrosion in concrete. BEIA was developed using the boundary element method (BEM) and particle swarm optimization (PSO). In performing BEIA, several electrical potential data which measured from half-cell potential measurements were taken as a reference. Numerical simulation on simplified RC with single corrosion shows that the corrosion on rebar can be detected with reasonable accuracy, i.e., the error is less than 5% when the gradient of W along iteration <; -0.02. Hence, the use of inconstant W with Wup
机译:为了防止钢筋混凝土(RC)结构的早期失效,检测钢筋在混凝土中的腐蚀非常重要。另一方面,作为半电池电位法的常规方法仍然具有检测腐蚀的局限性。因此,开发克服该局限性的计算方法非常有前途。一种方法是边界元素逆分析(BEIA)。然而,数值参数对BEIA性能的影响仍然有待探索。这项研究的目的是研究惯性重量(W)不变对BEIA的影响,以便确定混凝土中钢筋/钢筋的腐蚀情况。 BEIA是使用边界元方法(BEM)和粒子群优化(PSO)开发的。在进行BEIA时,将从半电池电位测量值中测得的几个电位数据作为参考。对具有单腐蚀的简化钢筋混凝土进行的数值模拟表明,钢筋上的腐蚀可以以合理的精度进行检测,即,当W沿迭代的坡度<时,误差小于5%。 -0.02。因此,在W \ n up \ n> 0.5对BEIA腐蚀定位性能有重大影响。

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