Comprehensive three dimensional finite element analysis, parametric study and sensitivity analysis on the seismic performance of soil–micropile-superstructure interaction

Evaluation of Induced Settlements of Piled Rafts in the Coupled Static-Dynamic Loads Using Neural Networks and Evolutionary Polynomial Regression

“…The strength of relationship between affecting parameters (number of piles, radius, ratio of / , ratio of / , and axial force) and the values of settlements of CPRF in both static and coupled static-dynamic conditions can be found using sensitivity analysis based on Cosine Amplitude Method (CAM) [33] of CPRF in both static and coupled static-dynamic conditions. In this method, the strength of relationship between target parameter and inputs is found using [33,41]:…”

“…In this method, the strength of relationship between target parameter and inputs is found using [33,41]:…”

“…where each of the input parameters is expressed as one of array's elements shown in [33] = { 1 , 1 , . .…”

“…. , } , where each of its elements is a vector with the length of and is presented in [33] = { 1 , 2 , 3 , . .…”

“…Hence, the application of neural network modeling and evolutionary polynomial regressions (EPRs), which are believed to be common ways to accurately and timely predict engineering complicated functions, can be examined. Different attempts to apply neural networks and EPRs to model different civil and geotechnical problems are presented in the literature [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]. They are well-applied in a wide range of problems from deep soil stabilizations, concrete, and their related structures, compressive strength of soils, rocks, and stabilized samples, bearing capacity of shallow and deep foundations, lateral spreading, rock mechanics, rock engineering, and soil mechanics [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33].…”