基于鳍片坡度的鳍状混凝土板承载能力数值法概述

Nashril Ananta Mandagi, Muhammad Yusuf, Vivi Bachtiar
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摘要

印度尼西亚国土面积约为 190.5 万平方公里。需要各种设施和基础设施来支持社区流动,以平衡土地面积。道路是实现这种流动所需的基础设施之一。在修建道路时,有必要注意安全和舒适方面,以便社区能够以最佳方式使用这些设施。专家们贡献了他们的许多想法,创造了今天使用的道路建筑。混凝土结构是专家们在印尼道路建设中常用的结构。之所以选择混凝土结构,是因为它易于成型且刚度高,因此很容易适应印尼各地区的情况。然而,道路损坏仍经常发生,因此需要一种更有效的施工系统来减少道路损坏。在之前的研究中(Sirait 等人,2022 年;Syenna 等人,2022 年),对增加混凝土板承载能力的翅片混凝土板建筑形式进行了实验研究。使用的鳍片倾斜度各不相同,分别为 0°、10°、20°、30° 和 40°。这项研究发现,在其他样本模型中,鳍片倾斜度为 30°的混凝土板的承载能力最大。这项研究仍在审查同一个方面,即在 0°、10°、20°、30° 和 40°不同翅片坡度的混凝土板样本上寻找最佳翅片坡度。不过,所使用的方法是一种数值方法,对样本的原始条件进行了近似处理。对粘性土和非粘性土进行了样品模拟加载试验。通过这种数值方法发现,在其他样本中,鳍状坡度为 10°的混凝土板的承载能力最高。
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Overview of the Bearing Capacity Finned Concrete Slabs Based on Slope of the Fins Using Numerical Method
Indonesia is a country that has a land area of approximately 1.905 million km². Facilities and infrastructure are needed to support community mobility to balance the land area. One of the infrastructures needed to carry out this mobilization is roads. In building roads, it is necessary to pay attention to safety and comfort aspects so the community can optimally use these facilities. Experts have contributed much of their thoughts to create a road construction used today. Concrete Structure is a common structure used by experts for road construction in Indonesia. Concrete construction was chosen because it is easy to form and stiff so it is easy to adapt to regions in Indonesia. However, road damage still occurs frequently, so a more effective construction system is needed to reduce road damage. In the previous study (Sirait et al., 2022; Syenna et al., 2022), experimental research was carried out in the form of finned concrete slab construction which functions to increase the bearing capacity of the concrete slab. Variations on the tilt of the fins are used, namely 0°, 10°, 20°, 30°, and 40°. This study found that concrete slabs with a fin slope of 30° produced the greatest carrying capacity of the other sample models. This research is still reviewing the same aspect, namely finding the optimal fin slope on concrete slab samples with variations of fin slope of 0°, 10°, 20°, 30°, and 40°. However, the method used is a numerical method by making approximations to the original conditions of the samples. Simulating loading tests on cohesive soils and non-cohesive soils carried out samples. By this numerical method, it was found that concrete slabs with a fin slope of 10° had the highest bearing capacity of the other samples.
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