(4 ) because calculation of stress intensity factors using the finite element method of the linear elastic fracture mechanics cannot satisfy the need for the real-time monitoring and the real-time analysis of cracks in concrete dams, a four-layer neural network optimized by genetic algorithm and chaos optimization algorithm is proposed . the example shows that the optimized neural network can yield good results (4)用斷裂力學(xué)有限元計(jì)算應(yīng)力強(qiáng)度因子不能滿足對混凝土壩裂縫實(shí)時(shí)監(jiān)測、實(shí)時(shí)分析中的要求,提出了利用遺傳算法和混沌優(yōu)化算法改進(jìn)的四層神經(jīng)網(wǎng)絡(luò)的解決方法,實(shí)例分析表明,本文提出的四層優(yōu)化神經(jīng)網(wǎng)絡(luò)計(jì)算的應(yīng)力強(qiáng)度因子接近于用斷裂力學(xué)有限元計(jì)算的應(yīng)力強(qiáng)度因子。
a general consensus exists related to the influence of slow crack propagation ahead of the crack tip upon the nonlinearity observed in the typical load-deflection response of the concrete specimen, namely, concrete exhibits somewhat quasibrittle behavior, which has been verified by the inapplicability of the conventional linear elastic fracture mechanics ( lefm ) and fracture models suitable for metal-like materials 現(xiàn)在已經(jīng)意識到,混凝土在其典型的位移曲線中呈現(xiàn)出的非線性特征是由于裂縫在端部的緩慢擴(kuò)展引起的,可以認(rèn)為是混凝土的一種半脆性性能。這是在發(fā)現(xiàn)傳統(tǒng)的線彈性斷裂力學(xué)(lefm)和適合金屬類材料的斷裂模型不適用于混凝土研究時(shí)得出的結(jié)論。