Reliability‐based optimization of a prestressed concrete roof girder using a surrogate model and the double‐loop approach

2021 ◽  
Author(s):  
Ondřej Slowik ◽  
David Lehký ◽  
Drahomír Novák
Keyword(s):  
Prestressed Concrete ◽  
Surrogate Model ◽  
Double Loop ◽  
Reliability Based Optimization

Single objective reliability-based optimization of prestressed concrete beams

2003 ◽  
Vol 81 (26-27) ◽  
pp. 2501-2512 ◽  
Author(s):  
Samer Barakat ◽  
Nabil Kallas ◽  
Mohammed Q Taha
Keyword(s):  
Prestressed Concrete ◽  
Concrete Beams ◽  
Reliability Based Optimization ◽  
Single Objective

Multi-objective reliability-based optimization of prestressed concrete beams

2004 ◽  
Vol 26 (3) ◽  
pp. 311-342 ◽  
Author(s):  
Samer Barakat ◽  
Khaldoon Bani-Hani ◽  
Mohammed Q. Taha
Keyword(s):  
Prestressed Concrete ◽  
Concrete Beams ◽  
Multi Objective ◽  
Reliability Based Optimization

scholarly journals Algorithmization of Reliability-Based Optimization

2014 ◽  
Vol 14 (1) ◽  
pp. 81-90 ◽  
Author(s):  
Ondřej Slowik ◽  
Drahomír Novák
Keyword(s):  
Optimization Method ◽  
Double Loop ◽  
Multilevel Sampling ◽  
Reliability Based Optimization ◽  
Different Levels

Abstract The paper presents newly developed university software FNPO designed for reliability-based optimization. The program works with a newly proposed optimization method called Aimed Multilevel Sampling (AMS) in the optimization cycle of reliability-based optimization. For simulation at different levels of the algorithm AMS and reliability calculations program uses cyclic calls of program FReET - so called double-loop approach. The developed software enables to optimize model of general complexity with consideration of deterministic and/or reliability constraints.

scholarly journals A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis

2016 ◽  
Vol 138 (6) ◽  
Author(s):  
Zhen Hu ◽  
Sankaran Mahadevan
Keyword(s):  
Reliability Analysis ◽  
Surrogate Model ◽  
Surrogate Modeling ◽  
Computational Effort ◽  
Time Dependent ◽  
Convergence Criterion ◽  
Double Loop ◽  
Single Loop ◽  
Loop Procedure ◽  
Optimization Loop

Current surrogate modeling methods for time-dependent reliability analysis implement a double-loop procedure, with the computation of extreme value response in the outer loop and optimization in the inner loop. The computational effort of the double-loop procedure is quite high even though improvements have been made to improve the efficiency of the inner loop. This paper proposes a single-loop Kriging (SILK) surrogate modeling method for time-dependent reliability analysis. The optimization loop used in current methods is completely removed in the proposed method. A single surrogate model is built for the purpose of time-dependent reliability assessment. Training points of random variables and over time are generated at the same level instead of at two separate levels. The surrogate model is refined adaptively based on a learning function modified from time-independent reliability analysis and a newly developed convergence criterion. Strategies for building the surrogate model are investigated for problems with and without stochastic processes. Results of three numerical examples show that the proposed single-loop procedure significantly increases the efficiency of time-dependent reliability analysis without sacrificing the accuracy.

Sign in / Sign up

Export Citation Format

Share Document