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Selection Model of Building Demolition Method Based on Expert System
Oryza Lhara Sari (a*), Tri Joko Wahyu Adi (a) and Abdul Munif (b)

(a) Institut Teknologi Sepuluh Nopember, Civil Engineering Department, Indonesia
(b) Institut Teknologi Sepuluh Nopember, Informatics Engineering Department, Indonesia


Abstract

Demolition needs special attention because the planning process is complex and has high risks (Yeheyis, Hewage, Alam, Eskicioglu, & Sadiq, 2013). In decision making, practitioners are faced with various conditions that influence the choice of demolition methods. This study aims to develop an optimal model for building demolition methods according to building characteristics. Identification of criteria is done by in-depth literature review and interviews with practitioners who have carried out demolition in Indonesia. The five criteria used in this study are health and safety, the presence of hazardous materials, the shape and size of the structure, requires structural engineers and workplace security. Furthermore, neurofuzzy is used to make the optimum demolition method decision. Fuzzy is used to integrate quantitative and qualitative variables while the Neural Network is to make decision making rules. For validation the model uses 13 building condition that have been demolished and use case studies. Simulation results show that the proposed model is able to make accurate decisions on the selection of demolition methods.

Keywords: demolition, demolition method, building, expert system, neurofuzzy

Topic: International Symposium of Civil, Environmental, and Infrastructure Engineering

Link: https://ifory.id/abstract/PUaA3x2KCb6e

Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (Oryza Lhara Sari)

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