State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction
There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …
and limited land in metropolitan cities in the recent years. However, the behavior of …
A review and case study of Artificial intelligence and Machine learning methods used for ground condition prediction ahead of tunnel boring Machines
This paper reviews literature on data-driven approaches for characterizing rock mass and
ground conditions in tunnels. There have been significant advances in the use of both …
ground conditions in tunnels. There have been significant advances in the use of both …
Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting
Accurately predicting the particle size distribution of a muck-pile after blasting is always an
important subject for mining industry. Adaptive neuro-fuzzy inference system (ANFIS) has …
important subject for mining industry. Adaptive neuro-fuzzy inference system (ANFIS) has …
Data-driven machine learning approach to predict mineralogy of organic-rich shales: An example from Qusaiba Shale, Rub'al Khali Basin, Saudi Arabia
Abstract The Qusaiba Shale is a proven source rock for the Palaeozoic petroleum system of
the middle east and it is targeted as a potential source of unconventional shale gas potential …
the middle east and it is targeted as a potential source of unconventional shale gas potential …
Prediction of uniaxial compressive strength of granitic rocks by various nonlinear tools and comparison of their performances
N Yesiloglu-Gultekin, C Gokceoglu, EA Sezer - International Journal of …, 2013 - Elsevier
The main goal of this study is to develop some prediction models for the UCS of six different
granitic rocks selected from Turkey. During the modeling stage of the study, various …
granitic rocks selected from Turkey. During the modeling stage of the study, various …
Machine learning accelerated approach to infer nuclear magnetic resonance porosity for a middle eastern carbonate reservoir
Carbonate rocks present a complicated pore system owing to the existence of intra-particle
and interparticle porosities. Therefore, characterization of carbonate rocks using …
and interparticle porosities. Therefore, characterization of carbonate rocks using …
[HTML][HTML] Estimation of tunnelling-induced settlement by modern intelligent methods
K Ahangari, SR Moeinossadat, D Behnia - Soils and Foundations, 2015 - Elsevier
The purpose of this study is to apply modern intelligent methods to predict subway
settlement. These methods can also be used for settlement prediction of tunnel future levels …
settlement. These methods can also be used for settlement prediction of tunnel future levels …
A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model
A Shahnazar, H Nikafshan Rad… - Environmental earth …, 2017 - Springer
Ground vibration is one of the common environmental effects of blasting operation in mining
industry, and it may cause damage to the nearby structures and the surrounding residents …
industry, and it may cause damage to the nearby structures and the surrounding residents …
Prediction of the resilient modulus of flexible pavement subgrade soils using adaptive neuro-fuzzy inference systems
E Sadrossadat, A Heidaripanah, S Osouli - Construction and Building …, 2016 - Elsevier
The resilient modulus (MR) of pavement subgrade soils essentially describes the structural
response of pavements for a reliable design. Due to the elaborate, expensive and complex …
response of pavements for a reliable design. Due to the elaborate, expensive and complex …
Application of support vector machines and relevance vector machines in predicting uniaxial compressive strength of volcanic rocks
N Ceryan - Journal of African Earth Sciences, 2014 - Elsevier
The uniaxial compressive strength (UCS) of intact rocks is an important and pertinent
property for characterizing a rock mass. It is known that standard UCS tests are destructive …
property for characterizing a rock mass. It is known that standard UCS tests are destructive …