Response of building to shallow tunnel excavation in different types of soil

Influence of Sampling Methods on the Accuracy of Machine Learning Predictions Used for Strain-Dependent Slope Stability

“…In the simulation of element tests using hypoplasticity, it is fundamental to ensure that void ratios do not evolve beyond the limit void ratio e i (loosest state) or below e d (densest state), respectively, for a given mean effective stress p. Those limit void ratios constitute an additional constraint for the sampling process and the randomly generated values of void ratios must be validated against the limits imposed by Bauer's law [49] as summarized in Equation (3), where e i0 , e c0 , e d0 denote the respective void ratios at the loosest, critical, and densest state at zero mean effective stress, h s is the granular hardness, n is a material constant and σ is the stress tensor. Note that in this study, the void ratios at densest state e d and at critical state e c are considered as respective lower and upper limits during sampling.…”

“…Supervised machine learning (ML) methods like the artificial neural network (ANN) or multi-layer perceptrons (MLP) have been successfully applied to diverse geotechnical engineering problems. Examples of the application of supervised machine learning methods in geotechnics date back more than 25 years ago and include, for example, settlement estimation due to tunneling [1][2][3], the estimation of pile bearing capacity [4][5][6][7][8], foundation settlements [4,9], slope stability analysis [10][11][12], liquefaction potential assessment [4,13] and the adjustment of soil model properties to match field or experimental observations [14][15][16][17][18]. Among others, comparison and review of different ML algorithms has been conducted in [19,20].…”

Cracking and damage analysis of a masonry structure based on joint masonry model caused by a obliquely undercrossing tunnel

“…Many researchers have used numerical simulation for the analysis 12 , 13 . In some studies, buildings have been modeled as an elastic shell at the surface 14 , an equivalent beam 15 , or a bare frame 16 , which cannot effectively reflect the cracking characteristics of masonry structures. In some other analyses, masonry buildings have been modeled as a wall with discrete elements 17 , 18 or a masonry façade wall 19 , 20 .…”

A numerical investigation of the impact of shield machine’s operation parameters on the settlements above twin stacked tunnels - A case study of Ho Chi Minh urban railway Line 1

“…Interactions between closely spaced tunnels were studied in the literature using several approaches: physical model testing (Kim et al, 1998;Chapman et al, 2007;Ng. et al, 2013;Lu et al, 2019;Lu et al, 2019;Tran and Hiroshi, 2020), field observations (Suwansawat and Einstein, 2007;Chen et al, 2011;Ocak, 2013), empirical/analytical methods (Wang et al, 2003;Suwansawat and Einstein, 2007;Yang and Wang, 2011;Wang et al, 2018, Zhang et al, 2018Zhang et al, 2020) and numerical modeling (Ercelebi et al, 2011;Hasanpour et al, 2012;Mirhabibi and Soroush, 2013;Do et al, 2014a;Chakeri and Unver, 2014;Chakeri et al, 2014, Janin et al, 2015Sahoo and Kumar, 2018;Zhao et al, 2019;Shivaei et al, 2020;Ly et al, 2021). Most studies in the literature focused on the effect of the tunnel distance, relative position of tunnels, tunnel depth, and soil properties on the stability of tunnel lining, surrounding ground, and adjacent structures.…”