Inversion of probabilistic models of structures using mea- sured transfer functions

A resolution comparison of horizontal and vertical magnetic transfer functions

The main goal of the present study is to identify characteristics of the inter-station horizontal magnetic responses and the vertical magnetic data, as two types of magnetotelluric transfer functions, in the modeling procedure. Through consideration of model responses and two-dimensional inversion of synthetic data, sensitivity of the data components in detecting different geophysical structure...

Mass Transfer Modeling of CO2 Absorption into Blended MDEA-MEA Solution

In this research, the thermodynamics and mass transfer of CO2 absorption has been studied in a mixture of MDEA-MEA amines. A relation is presented for mass transfer flux in the reactive-absorption process. For this purpose, the effective parameters on the mass transfer flux were investigated in both liquid and gas phases. Then, using dimensional analysis with the Pi-Buckingham theorem, the effe...

A new method for fuzzification of nested dummy variables by fuzzy clustering membership functions and its application in financial economy

In this study, the aim is to propose a new method for fuzzification of nested dummy variables. The fuzzification idea of dummy variables has been acquired from non-linear part of regime switching models in econometrics. In these models, the concept of transfer functions is like the notion of fuzzy membership functions, but no principle or linguistic sentence have been used for inputs. Consequen...

Supplement of Chemical composition of pre-monsoon air in the Indo-Gangetic Plain mea- sured using a new air quality facility and PTR-MS: high surface ozone and strong influence of biomass burning

Joint inversion of ReMi dispersion curves and refraction travel times using particle swarm optimization algorithm

Shear-wave velocity ( ) is an important parameter used for site characterization in geotechnical engineering. However, dispersion curve inversion is challenging for most inversion methods due to its high non-linearity and mix-determined trait. In order to overcome these problems, in this study, a joint inversion strategy is proposed based on the particle swarm optimization (PSO) algorithm. The ...