Stochastic evaluation of uncertainties in fatigue lifetime predictions of SFRC

ce/papers Pub Date : 2025-09-05 DOI:10.1002/cepa.3306
Peter Heek
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Abstract

The fatigue behaviour of plain (PC) and steel fibre reinforced concrete (SFRC) is usually assessed on the basis of experimentally derived SN curves. Test data exhibit large inherent scatter in numbers of cycles to failure leading to significant uncertainties in calculated lifetime predictions. The paper deals with the stochastic evaluation of these uncertainties introducing mechanically based SN curves. The curves take into account effects of the concrete's fracture energy and of the steel fibre's post cracking tensile strength as a function of fibre type, dosage, orientation and bond behaviour by a dimensionless ductility index. Response surface methodology serves to fit the approach to experimental data taken from the literature and to assess its prediction accuracy by specifying confidence intervals. Besides, variance-based sensitivity analyses using Latin Hypercube Sampling to generate random variables are numerically executed to theoretically quantify the effect of scattering input parameters on scattering numbers of cycles to failure. Two examples demonstrate the procedure and underline the experimental observation that the concrete's tensile strength governs fatigue performance at high stress levels while fibre dosage and orientation become meaningful at low ones.

SFRC疲劳寿命预测不确定性的随机评价
普通混凝土(PC)和钢纤维混凝土(SFRC)的疲劳性能通常是在实验推导的SN曲线的基础上进行评估的。测试数据在失效的循环次数上表现出很大的固有离散性,导致计算寿命预测存在很大的不确定性。本文引入基于力学的SN曲线,对这些不确定性进行随机评价。这些曲线通过无因次延性指数考虑了混凝土断裂能和钢纤维开裂后抗拉强度作为纤维类型、用量、取向和粘结行为的函数的影响。响应面法用于拟合从文献中获得的实验数据的方法,并通过指定置信区间来评估其预测准确性。此外,采用拉丁超立方体抽样生成随机变量,进行基于方差的灵敏度分析,从理论上量化散射输入参数对失效周期散射数的影响。两个例子证明了这一过程,并强调了实验观察,即混凝土的抗拉强度决定了高应力水平下的疲劳性能,而纤维的用量和取向在低应力水平下变得有意义。
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