20.500.12556/DKUM-50436 Soil-nail wall stability analysis using ANFIS Uporaba ANFIS-a pri stabilnostnih analizah sten z žebljano zemljino The safety-factor optimization for a soil-nail wall is presented. The optimization is performed using the non-linear programming (NLP) approach. For this purpose, the NLP optimization model OPTINC was developed. The safety factor and the optimal inclination of the soil nails from the horizontal direction depend on the design of the soil-nail wall. Based on these results the ANFIS-INC model was developed for the prediction of the optimal inclination of the soil nail for any design of soil-nail wall. Additionally, an ANFIS-SF model was developed to predict the safety factor for different inclinations of the wall, the slope angle of the terrain, the length of the nails, and the hole diameter. It was found that the inclination of the soil nail should be adjusted to the inclination of wall, the length of nail, the slope angle of the terrain and the hole diameter. With increasing inclination of the wall, the length of the soil nail and the hole diameter, the safety factor is increasing. On the other hand, the safety factor is decreasing with the increasing slope angle of the terrain. The use of nonlinear programming and an Adaptive Network based Fuzzy Inference System allows a comprehensive analysis of the geotechnical problems. V članku so izvedli optimiranje varnostnega faktorja sidrane stene. Optimiranje so izvedli s pristopom nelineranega programiranja in v ta namen razvili optimizacijski model OPTINC. Varnostni faktor in optimalni nagib sidra od horizontalne smeri sta odvisna od tipa sidrane stene. Na osnovi dobljenih rezultatov so razvili ANFIS-INC model za napovedovanje optimalnega nagiba sider za poljubno sidrano steno. Razvili so tudi model ANFIS-SF za napovedovanje varnostnega faktorja za različne nagibe sten, kota nagiba brežine, dolžine sider in premera vrtine. Ugotovili so, da se mora nagib sidra prilagoditi nagibu stene, dolžini sidra, kotu nagiba brežine in premeru vrtine. S povečanjem nagiba stene, dolžine sidra in premera vrtine se varnostni faktor povečuje. Po drugi strani pa se varnostni faktor zmanjšuje s povečanjem kota brežine. Uporaba nelineranega programiranja in metode ANFIS (Adaptive Network based Fuzzy Inference System) omogoča obsežno analizo geotehničnih problemov. soil-nail wall stability optimization NLP ANFIS žebljana zemljina stabilnost stene optimizacija NLP ANFIS true false true Angleški jezik Slovenski jezik Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo Univerze v Mariboru Znanstveno delo 2015-07-10 12:39:53 2015-07-10 12:39:53 2022-05-29 03:06:59 2021-05-09 03:28:05 2013 0 0 str. 61-73 št. 1 Letn. 10 2013 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1854-0171 624.131 215987712 16990998 1854-0171 URN:SI:UM:DK:EZSNJHMC Acta_geotechnica_Slovenica_2013_Jelusic,_Zlender_Soil-nail_wall_stability_analysis_using_ANFIS.pdf Acta_geotechnica_Slovenica_2013_Jelusic,_Zlender_Soil-nail_wall_stability_analysis_using_ANFIS.pdf 1 3711E35A32AAAB27F35179B0739A39DC f1996e4ac3e5b4aaf8a9aa28345110409702c624b75c7039e7f032256f0e681d 078e785a-7c10-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=125637 http://fgserver3.fg.um.si/journal-ags/2013-1/article-5.asp 1 https://dk.um.si/Dokument.php?lang=slv&id=125638 Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo Acta geotechnica Slovenica 0 0 0