Comparative Analysis of Earthquake Resistant Building Structure Design Planning Using Artificial Intellegence and SAP2000 Methods
(Analisis Perbandingan Perencanaan Desain Struktur Gedung Tahan Gempa Menggunakan Metode Artificial Intellegence dan SAP2000)
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Tiara Nofiana
Program Studi Teknik Sipil, Fakultas Sains dan Teknologi, Universitas Bina Bangsa, JL Raya Serang - Jakarta, KM. 03 No. 1B, Kota Serang, Banten 42124, Indonesia
Asmuni
Program Studi Teknik Sipil, Fakultas Sains dan Teknologi, Universitas Bina Bangsa, JL Raya Serang - Jakarta, KM. 03 No. 1B, Kota Serang, Banten 42124, Indonesia
Cahyadi
Program Studi Teknik Sipil, Fakultas Sains dan Teknologi, Universitas Bina Bangsa, JL Raya Serang - Jakarta, KM. 03 No. 1B, Kota Serang, Banten 42124, Indonesia
Wiwien Suzanti
Prodi Teknik Sipil, Fakultas Teknik, Universitas Sutan Ageng Tirtayasa, Jl Raya Palka KM. 03 Sindangsari, Kec. Pabuaran, Kab. Serang, Provinsi Banten, Indonesia
Arip Ismawan
Program Studi Teknik Sipil, Fakultas Sains dan Teknologi, Universitas Bina Bangsa, JL Raya Serang - Jakarta, KM. 03 No. 1B, Kota Serang, Banten 42124, Indonesia
DOI: https://doi.org/10.19184/bst.v12i4.53521
ABSTRACT
Earthquakes are natural phenomena that often occur in Indonesia, even Indonesia is one of the countries with the highest earthquake frequency in the world, there have been several major earthquakes that have caused infrastructure damage and claimed many victims. This study aims to determine the design of earthquake-resistant building structures, the results of the application of Artificial Intelligence (AI) in design of earthquake-resistant building structures, and its advantages and disadvantages. The core principle of earthquake-resistant buildings is high ductility, allowing them to absorb earthquake energy and avoid collapse despite deformation. This research employs a comparative method, evaluating AI against conventional methods like SAP2000 in terms of accuracy, efficiency, and practicality in designing earthquake-resistant structures. The analysis reveals minimal differences, with a 0.016% variance in calculations between AI and SAP2000, which has a negligible impact on factors like mass participation ratio, base shear force, and inter-floor deviation. However, AI significantly affects the Natural Period of the Building. AI also offers faster calculations and easier input specifications compared to SAP2000. Despite its advantages, AI has limitations in 3D modeling due to the absence of a user interface, making the modeling process more challenging.
Keywords: Earthquake-resistant building, artificial intelligence, structural design.
Published
27-12-2024
Issue
Vol. 12 No. 4 2024: BERKALA SAINSTEK
Pages
184-190
License
Copyright (c) 2024 BERKALA SAINSTEK
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