Application of data-driven surrogate models in structural engineering: a literature review
In recent times, there has been an increasing prevalence of surrogate models and
metamodeling techniques in approximating the responses of complex systems. These …
metamodeling techniques in approximating the responses of complex systems. These …
[HTML][HTML] Metamodel-assisted design optimization in the field of structural engineering: A literature review
Metamodel-assisted optimization is a valuable alternative to handle structural design
optimization procedures, which are usually quite expensive and sometimes even prohibitive …
optimization procedures, which are usually quite expensive and sometimes even prohibitive …
Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling
The estimation of the posterior probability distribution of unknown parameters remains a
challenging issue for model updating with uncertainties. Most current studies are based on …
challenging issue for model updating with uncertainties. Most current studies are based on …
A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems
The study proposed a hybrid adaptive Kriging-based single loop approach (HAK-SLA) to
prevent the conventional single loop approach (SLA) from being less efficient, converging to …
prevent the conventional single loop approach (SLA) from being less efficient, converging to …
Limit state Kriging modeling for reliability-based design optimization through classification uncertainty quantification
X Li, H Zhu, Z Chen, W Ming, Y Cao, W He… - Reliability Engineering & …, 2022 - Elsevier
Reliability-based design optimization (RBDO) plays a vital role in considering the effect of
uncertainties in the optimal design variables on the production reliability. Kriging-assisted …
uncertainties in the optimal design variables on the production reliability. Kriging-assisted …
Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors
Maintaining the proper level of readiness and reliability is crucial for any operating system
[33, 44]. It enables the purposeful use of the maintenance potential in the utilization …
[33, 44]. It enables the purposeful use of the maintenance potential in the utilization …
An uncertainty-aware dynamic shape optimization framework: Gravity dam design
Uncertainties such as material randomness, manufacturing anomalies, and external loading
play an important role in the design of engineering structures. Therefore, reliability-based …
play an important role in the design of engineering structures. Therefore, reliability-based …
Bayesian model updating of civil structures with likelihood-free inference approach and response reconstruction technique
Bayesian inference methods typically require a considerable amount of computation time in
the calculation of forward models. This limitation restricts the application of Bayesian …
the calculation of forward models. This limitation restricts the application of Bayesian …
Time-dependent reliability assessment of aging structures considering stochastic resistance degradation process
Reasonable assessment of structural resistance degradation and reliability is the premise of
formulating targeted maintenance strategy of aging structures. In this paper, a Gamma …
formulating targeted maintenance strategy of aging structures. In this paper, a Gamma …
An efficient double-loop reliability-based optimization with metaheuristic algorithms to design soil nail walls under uncertain condition
One of the applicable methods for stabilizing soil walls is the nailing system consisting of
tensile struts. The stability and safety of soil nail wall systems are affected by the geometrical …
tensile struts. The stability and safety of soil nail wall systems are affected by the geometrical …