Artificial intelligence applications in earthquake resistant architectural design: Determination of irregular structural systems with deep learning and ImageAI method

Download

10.17341-gazimmfd.647981-1211840.pdf

Date

2020-01-01

Author

Bingol, Kaan
Akan, Asli Er
ÖRMECİOĞLU, HİLAL TUĞBA
ER, ARZU

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

1174
views

736
downloads

Although the architectural design process is carried out with the collaboration of experts who are experienced in many different areas from the main preferences to the detailing stage, the major decisions such as plan organization, mass design etc. are taken by the architect. Computer Aided Design (CAD) programs are generally effective after the major decisions of the design are taken. For this reason, it is common for the main decisions, taken during the design process, to be changed during the analysis of the structural system. In order to prevent this, in the early stages of architectural design, earthquake system awareness and structural system design should be included as an design input; as, the failure of the structural system which did not considered well in the architectural design phase leads to unexpected revisions in the implementation project phase and thus leads to serious losses in both time and cost. The aim of this study is to create an Irregularity Control Assistant (IC Assitant) that can provide architects general information about the appropriateness of structural system decisions to earthquake regulations in the early stages of design process by using the deep learning and image processing methods. In this way, correct decisions will be made in the early stages of the design and unexpected revisions that may occur during the implementation project phase will be prevented.

Subject Keywords

General Engineering, Architecture, Earthquake Code, Deep Learning, Python, Image AI, Artificial Intelligence

URI

https://hdl.handle.net/11511/67697

Journal

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY

DOI

https://doi.org/10.17341/gazimmfd.647981

Collections

Department of Architecture, Article

Suggestions

OpenMETU
Core

Application of Artificial Neural Networks onBuilding Energy Estimation Altun, Murat; Ersöz, Ahmet Bahaddin; Akçamete Güngör, Aslı; Pekcan, Onur (null; 2017-12-11) Abstract -The decision makers in the building design stage need to give more importance for energy efficient solutions to improve the performance the building in its operational phase. In practice, they are expected to generate alternative designs in the early design stage and use complicated building simulation tools to estimate building energy use of these alternatives more accurately; however, this is a time-consuming procedure and it is difficult to evaluate different alternatives in the limited time of...
Understanding façade between design and manufacturing : a case study on high-rise office buildings in İstanbul Şener, Duygu; Güzer, Celal Abdi; Department of Architecture (2006) The thesis aims to examine how the formation of façades, that is, the interface with a dual response both to interior functioning and exterior urban fabric, is separated from the totality of architectural design by new technological developments and design intentions. This aim is accomplished in three sections, respectively: “analysis of the façade, the properties and formation process in time”; “examining the façade formation of the high-rise office buildings in Levent-Maslak area in respect to the analysi...
Evaluation of architectural and consciousness exploration architecture-based issues in seismic design Mendi, H. Evgin; Ünay, Ali İhsan; Department of Architecture (2005) The task of ءearthquake resistant design̕ of buildings is generally considered as the province of engineering profession. Although there exists considerable number of publications related to seismic design (documentations, articles, theses, books, and earthquake codes), most of them are addressed to structural engineers rather than architects. However, earthquake affects whole building and all professionals involved in construction process should have their own roles and responsibilities for earthquake resi...
Awarding architecture in Turkey: national architecture exhibition and awards program Durmaz, Nur; Balamir, Aydan; Department of Architecture (2009) The establishment of the National Architecture Exhibition and Awards (NAEA) program in 1987, by Chamber of Architects, coincides with the period of dissolving modernist paradigm and rising pluralist influences in Turkey. The program, as a critical medium, is expected to reflect “national” architectural practice and contribute in the “contemporary” architectural practice in Turkey. In order to evaluate the consistencies with these objectives, firstly the program identity and then the participations are analy...
Seismic strengthening of reinforced concrete frames by precast concrete panels BARAN, MEHMET; Susoy, M.; Okuyucu, D.; Tankut, T. (Thomas Telford Ltd., 2011-05-01) An innovative occupant-friendly retrofitting technique has been developed for reinforced concrete (RC)-framed structures which constitute the major portion of the existing building stock. The idea is to convert the existing hollow brick infill wall into a load-carrying system acting as a cast-in-place concrete shear wall by reinforcing it with relatively thin high-strength precast concrete panels epoxy bonded to the plastered infill wall and epoxy connected to the frame members. In this study, results of 11...

Citation Formats

K. Bingol, A. E. Akan, H. T. ÖRMECİOĞLU, and A. ER, “Artificial intelligence applications in earthquake resistant architectural design: Determination of irregular structural systems with deep learning and ImageAI method,” JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, pp. 2197–2209, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67697.