CD Skripsi

Estimasi Kuat Tekan Berdasarkan Berat Dan Umur Mortar Ringan Menggunakan Metode Algoritma Genetika

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ABSTRACT
Lightweight brick is one of the materials used as a partition wall to replace traditional red brick. The use of lightweight bricks replaces red bricks because they have a lighter weight so the use of lightweight bricks as partition walls will reduce the building's own weight. However, due to its lighter weight, the lightweight brick becomes brittle, affecting its strength. For this reason, it is necessary to test the variables that affect the strength of lightweight bricks to obtain maximum compressive strength. Some important variables that affect the strength of these lightweight bricks include the weight and age of lightweight bricks. This study aims to obtain the optimal weight and age values of lightweight mortar to obtain an estimate of the maximum compressive strength value for lightweight bricks. This study used secondary data in the form of light mortar samples with dimensions of 10x10x10 cm as many as 500 samples with four variations of ages 42, 48, 52, and 54 days using the Genetic Algorithm method. This study uses two methods, where the first method uses one independent variable, namely the weight of lightweight mortar. While the second method uses two independent variables, namely the weight and age of lightweight mortar. The results of the search for the estimated compressive strength of light mortar were obtained using the second method, which is 0.93 MPa with optimal weight and age of 1170 grams and 42 days respectively. Lightweight mortar with age variations of 42, 52, 48, and 54 days obtained an estimated compressive strength of 0.88 MPa, 1.41 MPa, 0.92 MPa respectively with an optimum weight for each age variation of 1015 grams, 1130 grams, 1000 grams and 1000 grams. The results showed that the Genetic Algorithm method was able to search for the estimated compressive strength of lightweight mortar.
Keywords: Lightweight mortar, compressive strength, weight, age, fitness function, Genetic Algorithm

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1807113150

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Sipil., 2022

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1807113150

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK SIPIL

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

Lampiran Berkas

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