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      • A new hybrid method for reliability-based optimal structural design with discrete and continuous variables

        Ali Khodam,Mohammad Saeid Farajzadeh,Mohsenali Shayanfar 국제구조공학회 2023 Structural Engineering and Mechanics, An Int'l Jou Vol.85 No.3

        Reliability-Based Design Optimization (RBDO) is an appropriate framework for obtaining optimal designs by taking uncertainties into account. Large-scale problems with implicit limit state functions and problems with discrete design variables are two significant challenges to traditional RBDO methods. To overcome these challenges, this paper proposes a hybrid method to perform RBDO of structures that links Firefly Algorithm (FA) as an optimization tool to advanced (finite element) reliability methods. Furthermore, the Genetic Algorithm (GA) and the FA are compared based on the design cost (objective function) they achieve. In the proposed method, Weighted Simulation Method (WSM) is utilized to assess reliability constraints in the RBDO problems with explicit limit state functions. WSM is selected to reduce computational costs. To performing RBDO of structures with finite element modeling and implicit limit state functions, a First-Order Reliability Method (FORM) based on the Direct Differentiation Method (DDM) is utilized. Four numerical examples are considered to assess the effectiveness of the proposed method. The findings illustrate that the proposed RBDO method is applicable and efficient for RBDO problems with discrete and continuous design variables and finite element modeling.

      • KCI등재

        Neodymium doped mixed metal oxide derived from CoAl-layered double hydroxide: Considerable enhancement in visible light photocatalytic activity

        Fatemeh Khodam,Hamid Reza Amani-Ghadim,Soheil Aber,Ali Reza Amani-Ghadim,Iraj Ahadzadeh 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.68 No.-

        Herein, the Neodymium ion (Nd3+) doped CoAl-LDH have been successfully prepared via co-precipitation method and was used as a precursor of Nd-doped CoAl-mixed metal oxides (MMO). The photocatalytic activity of doped LDH and MMO was investigated in the degradation of an azo dye, C.I. Acid Red 14, under visible light irradiation. DRS and PL analysis demonstrated decreasing in the band gap energy and recombination of photo-induced charge carriers of Nd-doped LDH and MMO compared with the pristine CoAL-LDH. Due to significant difference in photocatalytic performance. A power law empirical kinetic model was obtained for predicting the photocatalytic degradation efficiency.

      • KCI등재

        Enhanced adsorption of Acid Red 14 by co-assembled LDH/MWCNTs nanohybrid: Optimization, kinetic and isotherm

        Fatemeh Khodam,Zolfaghar Rezvani,Ali Reza Amani-Ghadim 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1

        We reported a facile strategy for assembling NiCoAl-layered double hydroxide/multi-walled carbonnanotubes (NiCoAl-LDH/MWCNTs) nanohybrid through noncovalent bonds. The assembling process andstructures of exfoliated LDH/CNTs nanohybrid were characterized by scanning electron microscopy(SEM), powder X-ray diffraction (XRD), thermogravimetric analysis (TGA), Fourier transform infrared(FT-IR) and specific surface area measurement. The effect of nanohybrid dosage, pH and contact time onthe adsorption process was optimized and modeled. The removal percentage of dye by nanohybrid was65% and the maximum adsorption capacity (qm) was 196.08 mg g 1 at the optimized conditions. Isotherm and kinetic of the adsorption process were investigated.

      • SCIESCOPUS

        Reliability-based design optimization of structural systems using a hybrid genetic algorithm

        Abbasnia, Reza,Shayanfar, Mohsenali,Khodam, Ali Techno-Press 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.52 No.6

        In this paper, reliability-based design optimization (RBDO) of structures is addressed. For this purpose, the global search and optimization capabilities of genetic algorithm (GA) are combined with the efficiency and reasonable accuracy of an advanced moment-based finite element reliability method. For performing RBDO, three variants of GA including a real-coded, a binary-coded and an improved binary-coded GA are developed. In these methods, GA performs (finite element) reliability analyses to evaluate reliability constraints. For truss structures which include finite element modeling, reliability constraints are evaluated using finite element reliability analysis. Response sensitivity required for finite element reliability analysis is obtained by direct differentiation method (DDM) rather than finite difference method (FDM). The proposed methods are examined within four standard test examples and real-world design problems. The results illustrate the superiority and efficiency of the improved binary-coded GA. Results also illustrate that DDM significantly reduces the computational cost and improves the efficiency of the optimization procedure.

      • KCI등재

        Reliability-based design optimization of structural systems using a hybrid genetic algorithm

        Reza Abbasnia,Mohsenali Shayanfar,Ali Khodam 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.52 No.6

        In this paper, reliability-based design optimization (RBDO) of structures is addressed. For this purpose, the global search and optimization capabilities of genetic algorithm (GA) are combined with the efficiency and reasonable accuracy of an advanced moment-based finite element reliability method. For performing RBDO, three variants of GA including a real-coded, a binary-coded and an improved binarycoded GA are developed. In these methods, GA performs (finite element) reliability analyses to evaluate reliability constraints. For truss structures which include finite element modeling, reliability constraints are evaluated using finite element reliability analysis. Response sensitivity required for finite element reliability analysis is obtained by direct differentiation method (DDM) rather than finite difference method (FDM). The proposed methods are examined within four standard test examples and real-world design problems. The results illustrate the superiority and efficiency of the improved binary-coded GA. Results also illustrate that DDM significantly reduces the computational cost and improves the efficiency of the optimization procedure.

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