优化梁的性能:采用不同开口形状的 CFRP 加固的 ANSYS 仿真和基于 ANN 的分析

Tahera, Kshitij S. Patil, Neethu Urs
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引用次数: 0

摘要

在现代建筑中,管道和导管是计算机网络、电气系统、空调、配水、污水管理和关键服务所必需的。这些管道的直径通常在几毫米到半米之间,会削弱梁的强度、增加挠度、促进开裂并降低刚度,所有这些都会损害建筑物的结构完整性。要克服这些障碍,一种既有创意又经济实惠的方法就是用 CFRP 片材改造混凝土结构。这种技术有许多优点,包括良好的强度-重量比、抗腐蚀、显著的疲劳耐久性、安装简单以及对现有结构部件的影响最小。目前的研究探讨了钢筋水泥混凝土 (RCC) 梁的性能,这些梁在剪切区具有各种开口(矩形、圆角矩形、椭圆形和圆形)。本研究通过 ANSYS 软件评估了三种不同 CFRP 加固程序的性能。它将三种不同的包覆方法与对照梁和无包覆开口进行了比较。分析侧重于有限元分析(FEA),以观察施加载荷下的应力变化,从而对不同的梁挠度进行比较。根据分析数据,在开孔周围使用 CFRP 加固(包括内部和外部)可显著提高承载能力,其承载能力几乎与控制梁相同,特别是对于应力分布更加均匀的圆形孔。此外,我们还探讨了通过 ANSYS 有限元分析模拟生成梁挠度数据的方法,然后在 MATLAB 和 Python 中训练人工神经网络 (ANN) 模型。由此产生的人工神经网络模型通过有效预测各种情况下的梁挠度,在结构分析中可快速、准确地替代传统的有限元分析。这项研究为提高当代建筑实践中的结构复原力,尤其是在整合基本服务方面,提供了宝贵的见解。
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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Optimizing beam performance: ANSYS simulation and ANN-based analysis of CFRP strengthening with various opening shapes

In modern construction, pipes and ducts are necessary for computer networking, electrical systems, air conditioning, water distribution, sewage management, and critical services. These conduits, which typically have diameters between a few millimeters and half a meter, can weaken the beam strength, increase deflection, encourage cracking, and decrease stiffness, all of which can compromise the structural integrity of buildings. One creative and affordable way to overcome these obstacles is to retrofit concrete structures with CFRP sheets. This technology has many advantages, including a favourable strength‒weight ratio, resistance to corrosion, remarkable fatigue durability, simple installation, and minimal impact on existing structural parts. The current research examines the performance of reinforced cement concrete (RCC) beams featuring various openings—rectangular, rounded rectangular, elliptical, and circular—in the shear zone. This study assesses the performance of three different CFRP reinforcement procedures via ANSYS software. It considers three different wrapping methods compared with a control beam and an opening without wrapping. The analysis focuses on finite element analysis (FEA) to observe stress variations under applied loads, enabling comparisons of different beam deflections. According to the analytical data, using CFRP reinforcement around apertures—both internally and externally—significantly increases the load-carrying capacity, which is nearly identical to that of the control beam—especially for circular holes where there is a more equal distribution of stress. Additionally, the generation of beam deflection data through ANSYS FEA simulations is explored, which is followed by training an artificial neural network (ANN) model in MATLAB and Python. The resulting ANN model serves as a rapid and accurate alternative to traditional FEA in structural analysis by effectively predicting beam deflections across various scenarios. This research contributes valuable insights into improving structural resilience in contemporary construction practices, particularly regarding the integration of essential services.

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来源期刊
Asian Journal of Civil Engineering
Asian Journal of Civil Engineering Engineering-Civil and Structural Engineering
CiteScore
2.70
自引率
0.00%
发文量
121
期刊介绍: The Asian Journal of Civil Engineering (Building and Housing) welcomes articles and research contributions on topics such as:- Structural analysis and design - Earthquake and structural engineering - New building materials and concrete technology - Sustainable building and energy conservation - Housing and planning - Construction management - Optimal design of structuresPlease note that the journal will not accept papers in the area of hydraulic or geotechnical engineering, traffic/transportation or road making engineering, and on materials relevant to non-structural buildings, e.g. materials for road making and asphalt.  Although the journal will publish authoritative papers on theoretical and experimental research works and advanced applications, it may also feature, when appropriate:  a) tutorial survey type papers reviewing some fields of civil engineering; b) short communications and research notes; c) book reviews and conference announcements.
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