超高性能混凝土的尺寸效应及断裂特性
Age-dependent Size Effect and Fracture Characteristics of Ultra High Performance Concrete
摘要:
研究了超高性能混凝土(UHPC)的龄期尺寸效应和断裂特性。该研究是基于一组独特的实验数据,连接老化测试的两个固化协议的一个尺寸和缩放的尺寸效应测试的一个年龄。在缺口三点弯曲试验中进行老化和尺寸效应研究。实验数据的最先进的模拟采用最近开发的离散元素为基础的早期计算框架的状态。该框架是通过耦合湿热化学(HTC)模型和晶格离散粒子模型(LDPM)通过一组老化功能。HTC组件允许考虑可变的固化条件并预测混凝土的成熟度。力学部分,LDPM,模拟破坏行为的混凝土在长度尺度上的主要异质性。经过仔细的校准和验证的中尺度HTC-LDPM模式是唯一提出进行预测模拟。采用内聚尺寸效应曲线(CSEC)方法和经典尺寸效应定律(SEL)对试验和模拟得到的极限抗弯强度进行了分析。通过LDPM,CSEC,SEL和内聚裂纹分析获得的断裂能进行了比较,并提出了断裂性能的老化配方。在实验、模拟和尺寸效应分析的基础上,对尺寸效应的年龄依赖性和尺寸效应分析方法的稳健性进行了评价。
英文摘要:
This paper presents an investigation of the age-dependent size effect and fracture characteristics of an ultra high performance concrete (UHPC). The study is based on a unique set of experimental data connecting aging tests for two curing protocols of one size and scaled size effect tests of one age. Both aging and size effect studies are performed on notched three point bending tests. Experimental data is augmented by state of the art simulations employing a recently developed discrete element based early-age computational framework. The framework is constructed by coupling a hygro-thermo-chemical (HTC) model and the Lattice Discrete Particle Model (LDPM) through a set of aging functions. The HTC component allows taking into account variable curing conditions and predicts the maturity of concrete. The mechanical component, LDPM, simulates the failure behavior of concrete at the length scale of major heterogeneities. After careful calibration and validation the mesoscale HTC-LDPM model is uniquely posed to perform predictive simulations. The ultimate flexural strengths from experiments and simulations are analyzed by the cohesive size effect curve (CSEC) method, and the classical size effect law (SEL). The fracture energies obtained by LDPM, CSEC, SEL, and cohesive crack analyses are compared and an aging formulation for fracture properties is proposed. Based on experiments, simulations, and size effect analyses, the age-dependence of size effect and the robustness of analytical size effect methods are evaluated.
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