Suppr超能文献

高应变率效应下现浇锚栓抗拔承载力的有效预测有限元模型

Effective prediction finite element model of pull-out capacity for cast-in-place anchor in high strain rate effects.

作者信息

Bao Quoc To, Lee Kihak, An Hyoseo, Lee Do Hyung, Shin Jiuk

机构信息

Department of Architectural Engineering, Deep Learning Architecture Research Center, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul, 05006, Republic of Korea.

Department of Civil, Environmental and Railroad Engineering, PaiChai University, Daejeon, 302-735, South Korea.

出版信息

Sci Rep. 2023 Oct 23;13(1):18070. doi: 10.1038/s41598-023-44510-y.

Abstract

Cast-in-place anchors are being increasingly used in many applications including building construction, bridge, and power plants. The anchorage to concrete systems are subjected to tensile, shear and combined loads from a variety of loading circumstances including static, dynamic, and shock loading. Despite extensive studies on these systems, reliable numerical models for predicting the behavior of these anchors are still limited. Therefore, this paper investigated the tensile behavior of cast-in-place anchorage to concrete systems, to propose an effective model for reproducing anchorage behavior using finite element (FE) methods. Experiments and code-based models for the anchorage system in tension were used to evaluate the numerical models for cast-in-place anchors in concrete, and the most suitable model, with advantages in accuracy and saving analysis time, was chosen. Finally, the FE model was used to study the tensile capacity and related dynamic increase factor for various strain rates, anchor diameters, and embedment depths.

摘要

现浇锚固件在包括建筑施工、桥梁和发电厂在内的许多应用中越来越多地被使用。混凝土系统中的锚固承受来自各种加载情况(包括静态、动态和冲击加载)的拉伸、剪切和组合载荷。尽管对这些系统进行了广泛研究,但用于预测这些锚固件性能的可靠数值模型仍然有限。因此,本文研究了现浇混凝土系统锚固的拉伸性能,以提出一种使用有限元(FE)方法再现锚固性能的有效模型。利用锚固系统受拉的试验和基于规范的模型来评估混凝土中现浇锚固件的数值模型,并选择了在精度和节省分析时间方面具有优势的最合适模型。最后,使用有限元模型研究了各种应变率、锚固件直径和埋深下的拉伸能力及相关动态增大系数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e88d/10593783/638c3d4b6894/41598_2023_44510_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验