Analisis Struktur Kolom Pendek Dengan Pendekatan Probabilitas Menggunakan Kombinasi Pembebanan Statik Dan Dinamik

Madian, Madian (2022) Analisis Struktur Kolom Pendek Dengan Pendekatan Probabilitas Menggunakan Kombinasi Pembebanan Statik Dan Dinamik. Other thesis, Universitas Islam Riau.

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Abstract

One of the lecture buildings and a 3-story auditorium in Pekanbaru has a quite unique building structure, where the base column or basement has a shorter height than above. This column is called a short column, where with such a structure there can be a risk of structural failure in the short column. With such a short column structure, it is likely that there will be a risk of overturning in the column structure. Thus, this study aims to determine the probability of failure and the reliability of the short column structure. In this study the probability of building failure is calculated using the normal distribution method (Gaussian). The normal distribution is a probability function that shows the distribution or spread of a variable. The function is generally proved by a symmetrical graph called a bell curve. The calculation of the normal distribution uses the short column axial force as a variable to calculate the probability. This axial force is obtained from a combination of loading in accordance with SNI 1926-2019 and calculated with the help of the ETABS 2016 software. The results of the probability are calculated based on load variations from 20 tons to 220 tons with intervals of 40. The results of the normal distribution calculation show that the probability value of each load variation is 20 tons by 13.6%, 60 tons at 27.4%, 100 tons at 50%, 140 tons at 69.1%, 180 tons at 86.4%, and 220 tons at load. tons of 95.5%. The reliability values for each load variation are 20 tons 86.4%, 60 tons 72.6% load, 50 tons load 50 percent, 140 tons load 30.9%, 180 tons load 30.9%, load 220 tons 4.5%. Based on the 10-2 earthquake risk limit, the result is 65.72 tons, the load used as a design is a load of 60 tons with a probability of collapse of 27.4% and reliability of 72.6%.

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