A Classification Model of Dimensional Stones Using AHP and Fuzzy Logic

被引:0
作者
Bagloo, Heydar [1 ,2 ]
Ataee-pour, Majid [1 ]
机构
[1] Amirkabir Univ Technol, Fac Min Engn, Tehran, Iran
[2] Monitoring & Dispatching Ctr, Res & Dev Unit, Yazd, Iran
关键词
Dimensional stone; Classification; Analytic Hierarchy Process (AHP); Fuzzy logic; MARBLE; SYSTEM;
D O I
10.1007/s10706-023-02611-5
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Dimensional stones classification models are efficient to particular aspects of these stones production. However, there are two main problems with these models. Initially, these models focus on specific types of dimensional stones, lacking a comprehensive model encompassing all stone types. Additionally, these systems classify stones based on a singular or limited set of features that affect stone quality. In addition, stones usage is an important factor, which determines the type of stone properties need to be considered in stone quality evaluation. To address these issues, this paper introduces a comprehensive classification model for dimensional stones. This model enables the identification of the optimal stone application and helps prevent the inappropriate use of stones in various contexts. To achieve this objective, an index called Stone Quality Point (SQP) is established, which is utilized within the classification model. Coefficients of the model are calculated by the Analytic Hierarchy Process (AHP) technique, and the Variables of the model are determined based on Fuzzy Logic. Stones are then categorized into three classes (good, moderate, and weak) using the SQP index, taking into account their suitability for various construction applications. Ultimately, the SQP is calculated to categorize the granite used in the construction of building facades. The values range from 1 to 2 for the weak group, 2 to 2.5 for the moderate group, and 2.5 to 3 for the good group. The SQP model and its scoring procedure remain consistent for various types of stones.
引用
收藏
页码:1173 / 1187
页数:15
相关论文
共 28 条
[1]   Estimation of Durability Aspects of Al Masjid Al-Haram Marble, Makkah City, Saudi Arabia [J].
El Aal A.A. ;
Kahraman S. .
Geotechnical and Geological Engineering, 2017, 35 (6) :2763-2779
[2]  
Akkoyun O., 2010, 2nd International Conference on Computer Technology and Development (ICCTD 2010), P158, DOI 10.1109/ICCTD.2010.5646128
[3]   Fuzzy-based quality classification model for natural building stone blocks [J].
Akkoyun, Ozgur ;
Toprak, Z. Fuat .
ENGINEERING GEOLOGY, 2012, 133 :66-75
[4]  
[Anonymous], 2023, ASTMD396723, DOI [10.1520/D3967-23, DOI 10.1520/D3967-23]
[5]  
[Anonymous], 2018, C615C615M18E1 ASTM I, DOI [10.1520/C0615_C0615M-18E01, DOI 10.1520/C0615_C0615M-18E01]
[6]  
[Anonymous], 2018, C97C97M18 ASTM INT, DOI [10.1520/C0097_C0097M-18, DOI 10.1520/C0097_C0097M-18]
[7]  
Ar I., 2008, 2008 23 INT S COMP I, P1, DOI [10.1109/ISCIS.2008.4717915, DOI 10.1109/ISCIS.2008.4717915]
[8]   Mechanical and physical properties of the Kandira stone, Kandira, Turkey [J].
Arman, Hasan ;
Ramazanoglu, Sefik ;
Akinci, Akin .
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2007, 66 (03) :331-333
[9]  
ASTM, 2018, C99C99M18 ASTM INT, P1, DOI [10.1520/C0099_C0099M-18, DOI 10.1520/C0099_C0099M-18]
[10]  
Ataei M., 2009, EXTRACTION BUILDING