Benchmark VERCORS 2022: blind prediction of time-dependent behavior of concrete containment building with low and high-fidelity models

Štěpán Krátký, P. Havlásek
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引用次数: 0

Abstract

The VERCORS program aims to acquire an extensive experimental dataset collected to provide a solid basis for numerical modeling of concrete containment buildings (CCBs). In order to cover the entire life-span of a real containment, the measurements are done on 3× smaller mock-up which leads to 9-fold acceleration of all processes related to drying. The goal for the participants of the third VERCORS benchmark was to predict the behaviour of the CCB based on standard laboratory measurements on VERCORS concrete. The previous paper [1] presented the calibration procedure of material models for moisture transport and time-dependent behavior of concrete and summarized the results obtained with a computationally efficient low-fidelity model (LFM). The present paper compares the responses of the LFM and a high-fidelity model (HFM) with a detailed geometry of the entire containment and presents a comparison with the experimental data collected over the last 8 years on the VERCORS mockup.
基准VERCORS 2022:基于高保真和低保真模型的混凝土围护结构随时间变化行为的盲预测
VERCORS项目旨在获得广泛的实验数据集,为混凝土安全壳建筑(ccb)的数值模拟提供坚实的基础。为了覆盖一个真正的容器的整个生命周期,测量是在3倍小的模型上完成的,这导致与干燥有关的所有过程加速9倍。第三次VERCORS基准测试的参与者的目标是根据对VERCORS混凝土的标准实验室测量来预测CCB的行为。先前的文献[1]给出了混凝土水分输运和随时间变化行为的材料模型的校准过程,并总结了计算效率低的低保真模型(LFM)的结果。本文比较了LFM和高保真模型(HFM)对整个容器的详细几何形状的响应,并与过去8年在VERCORS模型上收集的实验数据进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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