LIF: A new Kriging based learning function and its application to structural reliability analysis
Z Sun, J Wang, R Li, C Tong - Reliability Engineering & System Safety, 2017 - Elsevier
The main task of structural reliability analysis is to estimate failure probability of a studied
structure taking randomness of input variables into account. To consider structural behavior …
structure taking randomness of input variables into account. To consider structural behavior …
Reliability-based design optimization: a state-of-the-art review of its methodologies, applications, and challenges
Reliability-based design optimization (RBDO) integrates various uncertainties into the
design optimization process, offering a more realistic and robust approach compared to …
design optimization process, offering a more realistic and robust approach compared to …
Reliability analysis and design optimization of nonlinear structures
Reliability analysis and design optimization of structures have been gaining a significant
amount of attention in recent decades. Most of the current studies are based on linear …
amount of attention in recent decades. Most of the current studies are based on linear …
Reliability analysis of reinforced concrete structure against progressive collapse
New reliability computation framework is proposed based on polynomial chaos expansion
method and used to investigate the reliability of four typical configurations of reinforced …
method and used to investigate the reliability of four typical configurations of reinforced …
Dimensional decomposition-aided metamodels for uncertainty quantification and optimization in engineering: A review
Quantitative analysis and optimal design under uncertainty are active research areas in
modern engineering structures and systems. A metamodel, as an effective mathematical …
modern engineering structures and systems. A metamodel, as an effective mathematical …
An asymptotic stochastic response surface approach to reliability assessment under multi-source heterogeneous uncertainties
An asymptotic stochastic response surface method for structural reliability assessment under
multi-source heterogeneous uncertainties is proposed in this study. The fatigue reliability of …
multi-source heterogeneous uncertainties is proposed in this study. The fatigue reliability of …
MAntRA: A framework for model agnostic reliability analysis
We propose a novel model-agnostic data-driven reliability analysis framework for time-
dependent reliability analysis. The proposed approach–referred to as MAntRA–combines …
dependent reliability analysis. The proposed approach–referred to as MAntRA–combines …
A new sampling strategy for SVM-based response surface for structural reliability analysis
U Alibrandi, AM Alani, G Ricciardi - Probabilistic Engineering Mechanics, 2015 - Elsevier
To evaluate failure probability of structures in the most general case is computationally
demanding. The cost can be reduced by using the Response Surface Methodology, which …
demanding. The cost can be reduced by using the Response Surface Methodology, which …
Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II
S Chen, T Shi, D Wang, J Chen - Journal of Mechanical Science and …, 2015 - Springer
The RMS of weighted acceleration, wheel dynamic load and suspension dynamic deflection
are determined as evaluation indices of vehicle ride comfort performance. A multi-body …
are determined as evaluation indices of vehicle ride comfort performance. A multi-body …
Estimation of first-passage probability under stochastic wind excitations by active-learning-based heteroscedastic Gaussian process
In the processes for designing and assessing structural systems, it is essential to evaluate
their reliability against stochastic loads caused by natural or human-made hazards, eg, wind …
their reliability against stochastic loads caused by natural or human-made hazards, eg, wind …