Research graph
References from Physics-guided deep reinforcement learning framework for reliability-based design optimization of complex mechanical systems. Local targets link to admitted publications; unresolved targets remain external evidence.
The PHI2 method: a way to compute time-variant reliability
10.1016/j.ress.2003.10.005 · 2004 · External reference
Managing engineering systems with large state and action spaces through deep reinforcement learning
10.1016/j.ress.2019.04.036 · 2019 · External reference
Deep reinforcement learning for intelligent risk optimization of buildings under hazard
10.1016/j.ress.2024.110118 · 2024 · External reference
Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
10.1016/j.engappai.2023.107388 · 2024 · External reference
Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
10.1016/j.compstruc.2023.107181 · 2023 · External reference
A survey on physics informed reinforcement learning: review and open problems
10.1016/j.eswa.2025.128166 · 2025 · External reference
Deep reinforcement learning for engineering design through topology optimization of elementally discretized design domains
10.1016/j.matdes.2022.110672 · 2022 · External reference
A framework of high-order wheel polygonal wear mitigation for China's high-speed trains
10.1016/j.ymssp.2023.110487 · 2023 · External reference
Multidisciplinary reliability-based design optimization of floating offshore wind turbine support structure and tuned mass-damper-inerter
10.1016/j.ress.2025.111715 · 2026 · External reference
A genetic programming hyper-heuristic with whale optimization algorithm for the dynamic resource-constrained multi-project scheduling problems
10.1016/j.eswa.2025.128881 · 2026 · External reference
Dual-population two-archive evolutionary framework for constrained multi-objective optimization
10.1016/j.matcom.2025.11.019 · 2026 · External reference
A reliability analysis method based on the intersection area division of hypersphere and paraboloid
10.1016/j.ress.2024.110461 · 2024 · External reference
Unresolved reference
2007 · External reference
Machine learning based shear strength prediction in reinforced concrete beams using levy flight enhanced decision trees
10.1038/s41598-025-12359-y · 2025 · External reference
Novel methodology of fail-safe reliability-based topology optimization for large-scale marine structures
10.1007/s00158-023-03614-9 · 2023 · External reference
A novel BACG inverse reliability algorithm for efficient and robust reliability-based topology optimization of marine structures
10.1016/j.oceaneng.2024.117165 · 2024 · External reference
A multi-damage coupling performance degradation reliability analysis method considering multi-source uncertainty
10.1016/j.ress.2026.112517 · 2026 · External reference
A reliability analysis method for evaluating performance degradation considering the coupling of multiple progressive damage factors and multiple stochastic factors
10.1016/j.ress.2024.110584 · 2025 · External reference
Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures
10.1016/j.ress.2022.108982 · 2023 · External reference
An efficient method for hybrid reliability analysis with aleatory and evidence-based epistemic uncertainties
10.1016/j.apm.2025.116619 · 2026 · External reference
Serviceability analysis of sea-crossing bridges under correlated wind and wave loads
10.1016/j.ress.2024.110077 · 2024 · External reference
A physics-informed deep reinforcement learning framework for autonomous steel frame structure design
10.1111/mice.13276 · 2024 · External reference
Addressing function approximation error in actor-critic methods
2018 · External reference
Dynamic precision reliability of the aircraft landing gear retraction mechanism under coupled extreme working conditions
10.1007/s11071-024-10442-z · 2025 · External reference
A global sensitivity analysis method for complex mechanisms of aircraft affected by multiple progressive damage
2025 · External reference
Reliability assessment methods considering failure correlation and importance analysis for multiple progressive damage
10.1016/j.ress.2025.111389 · 2025 · External reference
A reliability analysis method considering variable updates under multiple progressive damage coupling
10.1016/j.ress.2026.112501 · 2026 · External reference
Unresolved reference
External reference
Combined dimensionality reduction based adaptive polynomial chaos expansion for high-dimensional reliability analysis
10.1016/j.ress.2025.111324 · 2025 · External reference
Hybrid adaptive moment estimation based performance measure approach for complex reliability-based design optimization
10.1016/j.ress.2024.110481 · 2024 · External reference
A dynamic inspection and replacement policy for systems subject to degradation and periodic shocks
10.1016/j.ress.2025.111765 · 2026 · External reference
From black-box to white-box: interpretable deep reinforcement learning with Kolmogorov-Arnold networks for autonomous driving
10.1016/j.trc.2025.105386 · 2026 · External reference
Comprehensive overview of reward engineering and shaping in advancing reinforcement learning applications
10.1109/access.2024.3504735 · 2024 · External reference
An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm
10.1016/j.ress.2024.109972 · 2024 · External reference
An integrated framework for reliability analysis and design optimization using input, simulation, and experimental data: confidence-based design optimization under aleatory and epistemic uncertainty
10.1016/j.ress.2025.111895 · 2026 · External reference
Ensemble machine learning models for estimating mechanical curves of concrete-timber-filled steel tubes
10.1016/j.engappai.2025.111234 · 2025 · External reference
Machine learning-based seismic response and performance assessment of reinforced concrete buildings
10.1007/s43452-023-00631-9 · 2023 · External reference
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
10.1016/j.eswa.2024.124897 · 2024 · External reference
Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review
10.1007/s11831-023-10043-w · 2024 · External reference
RAGN-R: a multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials
10.1016/j.compstruc.2025.107657 · 2025 · External reference
Machine-learning methods for estimating performance of structural concrete members reinforced with fiber-reinforced polymers
10.1007/s11831-024-10143-1 · 2025 · External reference
A new hybrid inverse reliability method for searching MPTP and its application in reliability-based design optimization
10.1016/j.ress.2024.110487 · 2025 · External reference
An efficient sequential anisotropic RBF reliability analysis method with fast cross-validation and parallelizability
10.1016/j.ress.2023.109600 · 2024 · External reference
Performance margin-based reliability analysis for aircraft lock mechanism considering multi-source uncertainties and wear
10.1016/j.ress.2020.107234 · 2021 · External reference
A cooperative co-evolutionary algorithm with core-based grouping strategy for large-scale 0–1 knapsack problems
2026 · External reference
An improved multiobjective genetic algorithm for robustness-cost trade-off optimization in resource-constrained proactive project scheduling
10.1016/j.eswa.2025.130309 · 2026 · External reference
Estimating predictive failure probability and its update under newly available observations by a layered cluster importance sampling algorithm
10.1016/j.ress.2025.111871 · 2026 · External reference
Unresolved reference
External reference
Reliability analysis using adaptive physics-informed neural network with cross-entropy optimization
10.1016/j.apm.2025.116627 · 2026 · External reference
Intelligent scheduling in networked multi-factory systems considering machine degradation and preventive maintenance: a multi-action deep reinforcement learning approach
10.1016/j.cie.2025.111579 · 2026 · External reference
The multi-objective reliability-based design optimization for structure based on probability and ellipsoidal convex hybrid model
10.1016/j.strusafe.2018.11.004 · 2019 · External reference
An efficient multi-objective reliability-based design optimization method for structure based on probability and interval hybrid model
10.1016/j.cma.2022.114682 · 2022 · External reference
Resilience improvement framework based on strategy optimization of power systems to typhoons
10.1016/j.ress.2025.111855 · 2026 · External reference
Interval sequential optimization and time-variant reliability assessment (ISOTRA) framework for dynamic stress-constrained topology design
10.1007/s00366-025-02173-5 · 2025 · External reference
AGP-MCS+D: an active learning reliability analysis method combining dependent gaussian process and Monte Carlo simulation
10.1016/j.ress.2023.109541 · 2023 · External reference
AMFGP: an active learning reliability analysis method based on multi-fidelity Gaussian process surrogate model
10.1016/j.ress.2024.110020 · 2024 · External reference
A copula-based transitional markov chain Monte Carlo method for bayesian model updating
10.1016/j.ress.2025.111572 · 2026 · External reference
Reliability-based design optimization using adaptive kriging-a single-loop strategy and a double-loop one
10.1016/j.ress.2023.109386 · 2023 · External reference
Unresolved reference
2018 · External reference
Reliability analysis of structures by multiple sparse polynomial chaos expansion based adaptive metamodel
10.1016/j.ress.2025.111508 · 2026 · External reference
Active learning for structural reliability: survey, general framework and benchmark
10.1016/j.strusafe.2021.102174 · 2022 · External reference
Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework
10.1007/s00158-019-02290-y · 2019 · External reference
Multi-fidelity subset simulation for rare event simulation
10.1016/j.ress.2025.111739 · 2026 · External reference
Policy invariance under reward transformations: theory and application to reward shaping
1999 · External reference
Reliability based optimization: a safety index approach
10.1016/0045-7949(88)90418-x · 1988 · External reference
Numerical optimization
2006 · External reference
On fractional moment estimation from polynomial chaos expansion
10.1016/j.ress.2024.110594 · 2025 · External reference
FORM-based global reliability sensitivity analysis of systems with multiple failure modes
10.1016/j.ress.2025.110974 · 2025 · External reference
Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations
10.1016/j.engappai.2023.106465 · 2023 · External reference
A survey on reinforcement learning in aviation applications
10.1016/j.engappai.2024.108911 · 2024 · External reference
Support vector machine in structural reliability analysis: a review
10.1016/j.ress.2023.109126 · 2023 · External reference
Transfer learning on stacked machine-learning model for predicting pull-out behavior of steel fibers from concrete
10.1016/j.engappai.2025.111533 · 2025 · External reference
Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms
10.1016/j.jmrt.2022.10.153 · 2022 · External reference
Additive manufacturing of compliance optimized variable stiffness composites through short fiber alignment along curvilinear paths
2021 · External reference
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
10.1016/j.engappai.2024.109053 · 2024 · External reference
Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
10.1111/mice.13164 · 2024 · External reference
Neural network-guided genetic algorithm for multi-objective optimization of fin-and-tube heat exchangers incorporating novel curved winglets
10.1016/j.engappai.2025.113349 · 2026 · External reference
Reliability assessment of an aircraft locking mechanism considering tribocorrosion and correlated failure modes in a marine environment
10.1016/j.engfailanal.2024.108840 · 2024 · External reference
Monte Carlo and variance reduction methods for structural reliability analysis: a comprehensive review
10.1016/j.probengmech.2023.103479 · 2023 · External reference
Mixed loss-guided modular regression for dependent system reliability
10.1016/j.ress.2025.111898 · 2026 · External reference
Quantization-aware distributed deep reinforcement learning for dynamic multi-robot scheduling
10.1016/j.eswa.2025.129027 · 2026 · External reference
A model-free deep learning-based health prognosis methodology with epistemic and aleatoric uncertainties
10.1016/j.eswa.2025.127835 · 2025 · External reference
An active learning method based on Monte Carlo dropout neural network for high-dimensional reliability analysis
10.1016/j.ress.2025.111169 · 2025 · External reference
Multi-source errors evaluation of machine tools: from research gaps to methodologies and applications
10.1088/2631-7990/ae1be8 · 2026 · External reference
Unresolved reference
2020 · External reference
Multi-polynomial chaos kriging-based adaptive moving strategy for comprehensive reliability analyses
10.1016/j.ress.2023.109657 · 2024 · External reference
Multi-energy microgrid expansion planning with reliability consideration based on deep reinforcement learning
10.1016/j.cie.2025.111283 · 2025 · External reference
A new study on reliability-based design optimization
10.1115/1.2829499 · 1999 · External reference
Stefan problems for moving phase change materials and multiple solutions
10.1016/j.ijthermalsci.2017.12.019 · 2018 · External reference
Fluid motion in a cavity driven by a four-sided moving lid with uniform velocity
10.1016/j.euromechflu.2024.06.004 · 2024 · External reference
Sharp interface establishment through slippery fluid in steady exchange flows under stratification
10.32604/cmes.2025.068031 · 2025 · External reference
Analysis of MHD stokes fluid flow in a cavity driven by moving parallel lid(s)
10.1007/s00162-025-00750-4 · 2025 · External reference
Prolonging the life time of underground ice ring formed in the period of the cryogenic gas storage
10.1016/j.euromechflu.2025.204395 · 2026 · External reference
Detection and quantitative characterization of dynamic contact states of bending tribo-corrosion-fatigue steel wire ropes
10.1016/j.triboint.2025.111480 · 2026 · External reference
A global and local agent-based curriculum reinforcement learning approach for multi-end-effector robotic arm manipulation
10.1016/j.engappai.2025.113121 · 2026 · External reference
A deep reinforcement learning approach for real-time bus operation control using departure timetabling, stop-skipping, and re-routing
2026 · External reference
An improved adaptive gradient-based optimization algorithm for estimating the parameters of three-parameter weibull distribution: an application of aero-engine reliability assessment
10.1016/j.ress.2025.111610 · 2026 · External reference
A nested extreme response surface approach for time-dependent reliability-based design optimization
10.1115/1.4007931 · 2012 · External reference
Multi-objective optimization for pipeline systems: a maintenance model using NSGA-II considering flow capacity and total cost
10.1016/j.ress.2025.111663 · 2026 · External reference
Adaptive kriging-assisted enhanced sparrow search with augmented-lagrangian first-order reliability method for highly efficient structural reliability analysis
10.1016/j.ress.2025.111916 · 2026 · External reference
An active learning method combining MRBF model and dimension-reduction importance sampling for reliability analysis with high dimensionality and very small failure probability
10.1016/j.ress.2025.111107 · 2025 · External reference
Active learning with generalized sliced inverse regression for high-dimensional reliability analysis
10.1016/j.strusafe.2021.102151 · 2022 · External reference
Framework for design optimization using deep reinforcement learning
10.1007/s00158-019-02276-w · 2019 · External reference
Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems
10.1016/j.engappai.2023.107817 · 2024 · External reference
Line sampling for time-variant failure probability estimation using an adaptive combination approach
10.1016/j.ress.2023.109885 · 2024 · External reference
Kernel reinforcement learning for sampling-efficient risk management of large-scale engineering systems
10.1016/j.ress.2025.111022 · 2025 · External reference
Reinforcement learning in reliability and maintenance optimization: a tutorial
10.1016/j.ress.2024.110401 · 2024 · External reference
Self-adaptive physics-informed parallel neural networks for creep damage identification
10.1016/j.engstruct.2025.121314 · 2025 · External reference
A novel deep reinforcement learning framework based on digital twins for dynamic job shop scheduling problems
2026 · External reference
Rotor tip assembly clearance overproof risk estimation method considering machining precision and assembly process uncertainties
2026 · External reference
Low carbon economic energy management method in a microgrid based on enhanced D3QN Algorithm with mixed penalty function
10.1109/tste.2025.3528952 · 2025 · External reference
AK-TSYS: an enhanced active learning kriging model for time-dependent system reliability analysis
10.1016/j.ress.2025.111991 · 2026 · External reference
Adaptive support vector machine for time-variant failure probability function estimation
10.1016/j.ress.2024.110510 · 2025 · External reference
Remaining useful life prediction of equipment using a multiobjective optimization reinforced prognostic approach
10.1016/j.cie.2025.111116 · 2025 · External reference
Time-dependent reliability analysis for mechanisms considering the nonlinear contact behavior in joint clearances
10.1007/s11071-025-10897-8 · 2025 · External reference
The Monte Carlo simulation method for system reliability and risk analysis
2013 · External reference
Grey wolf optimizer integrated within boosting algorithm: application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes
2025 · External reference
Framework for design optimization using deep reinforcement learning
10.1007/s00158-019-02276-w · ExternalCitation · doi-reference
Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework
10.1007/s00158-019-02290-y · ExternalCitation · doi-reference
Novel methodology of fail-safe reliability-based topology optimization for large-scale marine structures
10.1007/s00158-023-03614-9 · ExternalCitation · doi-reference
Analysis of MHD stokes fluid flow in a cavity driven by moving parallel lid(s)
10.1007/s00162-025-00750-4 · ExternalCitation · doi-reference
Interval sequential optimization and time-variant reliability assessment (ISOTRA) framework for dynamic stress-constrained topology design
10.1007/s00366-025-02173-5 · ExternalCitation · doi-reference
Dynamic precision reliability of the aircraft landing gear retraction mechanism under coupled extreme working conditions
10.1007/s11071-024-10442-z · ExternalCitation · doi-reference
Time-dependent reliability analysis for mechanisms considering the nonlinear contact behavior in joint clearances
10.1007/s11071-025-10897-8 · ExternalCitation · doi-reference
Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review
10.1007/s11831-023-10043-w · ExternalCitation · doi-reference
Machine-learning methods for estimating performance of structural concrete members reinforced with fiber-reinforced polymers
10.1007/s11831-024-10143-1 · ExternalCitation · doi-reference
Machine learning-based seismic response and performance assessment of reinforced concrete buildings
10.1007/s43452-023-00631-9 · ExternalCitation · doi-reference
Reliability based optimization: a safety index approach
10.1016/0045-7949(88)90418-x · ExternalCitation · doi-reference
An efficient method for hybrid reliability analysis with aleatory and evidence-based epistemic uncertainties
10.1016/j.apm.2025.116619 · ExternalCitation · doi-reference
Reliability analysis using adaptive physics-informed neural network with cross-entropy optimization
10.1016/j.apm.2025.116627 · ExternalCitation · doi-reference
Remaining useful life prediction of equipment using a multiobjective optimization reinforced prognostic approach
10.1016/j.cie.2025.111116 · ExternalCitation · doi-reference
Multi-energy microgrid expansion planning with reliability consideration based on deep reinforcement learning
10.1016/j.cie.2025.111283 · ExternalCitation · doi-reference
Intelligent scheduling in networked multi-factory systems considering machine degradation and preventive maintenance: a multi-action deep reinforcement learning approach
10.1016/j.cie.2025.111579 · ExternalCitation · doi-reference
An efficient multi-objective reliability-based design optimization method for structure based on probability and interval hybrid model
10.1016/j.cma.2022.114682 · ExternalCitation · doi-reference
Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
10.1016/j.compstruc.2023.107181 · ExternalCitation · doi-reference
RAGN-R: a multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials
10.1016/j.compstruc.2025.107657 · ExternalCitation · doi-reference
Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations
10.1016/j.engappai.2023.106465 · ExternalCitation · doi-reference
Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
10.1016/j.engappai.2023.107388 · ExternalCitation · doi-reference
Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems
10.1016/j.engappai.2023.107817 · ExternalCitation · doi-reference
A survey on reinforcement learning in aviation applications
10.1016/j.engappai.2024.108911 · ExternalCitation · doi-reference
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
10.1016/j.engappai.2024.109053 · ExternalCitation · doi-reference
Ensemble machine learning models for estimating mechanical curves of concrete-timber-filled steel tubes
10.1016/j.engappai.2025.111234 · ExternalCitation · doi-reference
Transfer learning on stacked machine-learning model for predicting pull-out behavior of steel fibers from concrete
10.1016/j.engappai.2025.111533 · ExternalCitation · doi-reference
A global and local agent-based curriculum reinforcement learning approach for multi-end-effector robotic arm manipulation
10.1016/j.engappai.2025.113121 · ExternalCitation · doi-reference
Neural network-guided genetic algorithm for multi-objective optimization of fin-and-tube heat exchangers incorporating novel curved winglets
10.1016/j.engappai.2025.113349 · ExternalCitation · doi-reference
Reliability assessment of an aircraft locking mechanism considering tribocorrosion and correlated failure modes in a marine environment
10.1016/j.engfailanal.2024.108840 · ExternalCitation · doi-reference
Self-adaptive physics-informed parallel neural networks for creep damage identification
10.1016/j.engstruct.2025.121314 · ExternalCitation · doi-reference
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
10.1016/j.eswa.2024.124897 · ExternalCitation · doi-reference
A model-free deep learning-based health prognosis methodology with epistemic and aleatoric uncertainties
10.1016/j.eswa.2025.127835 · ExternalCitation · doi-reference
A survey on physics informed reinforcement learning: review and open problems
10.1016/j.eswa.2025.128166 · ExternalCitation · doi-reference
A genetic programming hyper-heuristic with whale optimization algorithm for the dynamic resource-constrained multi-project scheduling problems
10.1016/j.eswa.2025.128881 · ExternalCitation · doi-reference
Quantization-aware distributed deep reinforcement learning for dynamic multi-robot scheduling
10.1016/j.eswa.2025.129027 · ExternalCitation · doi-reference
An improved multiobjective genetic algorithm for robustness-cost trade-off optimization in resource-constrained proactive project scheduling
10.1016/j.eswa.2025.130309 · ExternalCitation · doi-reference
Fluid motion in a cavity driven by a four-sided moving lid with uniform velocity
10.1016/j.euromechflu.2024.06.004 · ExternalCitation · doi-reference
Prolonging the life time of underground ice ring formed in the period of the cryogenic gas storage
10.1016/j.euromechflu.2025.204395 · ExternalCitation · doi-reference
Stefan problems for moving phase change materials and multiple solutions
10.1016/j.ijthermalsci.2017.12.019 · ExternalCitation · doi-reference
Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms
10.1016/j.jmrt.2022.10.153 · ExternalCitation · doi-reference
Dual-population two-archive evolutionary framework for constrained multi-objective optimization
10.1016/j.matcom.2025.11.019 · ExternalCitation · doi-reference
Deep reinforcement learning for engineering design through topology optimization of elementally discretized design domains
10.1016/j.matdes.2022.110672 · ExternalCitation · doi-reference
A novel BACG inverse reliability algorithm for efficient and robust reliability-based topology optimization of marine structures
10.1016/j.oceaneng.2024.117165 · ExternalCitation · doi-reference
Monte Carlo and variance reduction methods for structural reliability analysis: a comprehensive review
10.1016/j.probengmech.2023.103479 · ExternalCitation · doi-reference
The PHI2 method: a way to compute time-variant reliability
10.1016/j.ress.2003.10.005 · ExternalCitation · doi-reference
Managing engineering systems with large state and action spaces through deep reinforcement learning
10.1016/j.ress.2019.04.036 · ExternalCitation · doi-reference
Performance margin-based reliability analysis for aircraft lock mechanism considering multi-source uncertainties and wear
10.1016/j.ress.2020.107234 · ExternalCitation · doi-reference
Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures
10.1016/j.ress.2022.108982 · ExternalCitation · doi-reference
Support vector machine in structural reliability analysis: a review
10.1016/j.ress.2023.109126 · ExternalCitation · doi-reference
Reliability-based design optimization using adaptive kriging-a single-loop strategy and a double-loop one
10.1016/j.ress.2023.109386 · ExternalCitation · doi-reference
AGP-MCS+D: an active learning reliability analysis method combining dependent gaussian process and Monte Carlo simulation
10.1016/j.ress.2023.109541 · ExternalCitation · doi-reference
An efficient sequential anisotropic RBF reliability analysis method with fast cross-validation and parallelizability
10.1016/j.ress.2023.109600 · ExternalCitation · doi-reference
Multi-polynomial chaos kriging-based adaptive moving strategy for comprehensive reliability analyses
10.1016/j.ress.2023.109657 · ExternalCitation · doi-reference
Line sampling for time-variant failure probability estimation using an adaptive combination approach
10.1016/j.ress.2023.109885 · ExternalCitation · doi-reference
An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm
10.1016/j.ress.2024.109972 · ExternalCitation · doi-reference
AMFGP: an active learning reliability analysis method based on multi-fidelity Gaussian process surrogate model
10.1016/j.ress.2024.110020 · ExternalCitation · doi-reference
Serviceability analysis of sea-crossing bridges under correlated wind and wave loads
10.1016/j.ress.2024.110077 · ExternalCitation · doi-reference
Deep reinforcement learning for intelligent risk optimization of buildings under hazard
10.1016/j.ress.2024.110118 · ExternalCitation · doi-reference
Reinforcement learning in reliability and maintenance optimization: a tutorial
10.1016/j.ress.2024.110401 · ExternalCitation · doi-reference
A reliability analysis method based on the intersection area division of hypersphere and paraboloid
10.1016/j.ress.2024.110461 · ExternalCitation · doi-reference
Hybrid adaptive moment estimation based performance measure approach for complex reliability-based design optimization
10.1016/j.ress.2024.110481 · ExternalCitation · doi-reference
A new hybrid inverse reliability method for searching MPTP and its application in reliability-based design optimization
10.1016/j.ress.2024.110487 · ExternalCitation · doi-reference
Adaptive support vector machine for time-variant failure probability function estimation
10.1016/j.ress.2024.110510 · ExternalCitation · doi-reference
A reliability analysis method for evaluating performance degradation considering the coupling of multiple progressive damage factors and multiple stochastic factors
10.1016/j.ress.2024.110584 · ExternalCitation · doi-reference
On fractional moment estimation from polynomial chaos expansion
10.1016/j.ress.2024.110594 · ExternalCitation · doi-reference
FORM-based global reliability sensitivity analysis of systems with multiple failure modes
10.1016/j.ress.2025.110974 · ExternalCitation · doi-reference
Kernel reinforcement learning for sampling-efficient risk management of large-scale engineering systems
10.1016/j.ress.2025.111022 · ExternalCitation · doi-reference
An active learning method combining MRBF model and dimension-reduction importance sampling for reliability analysis with high dimensionality and very small failure probability
10.1016/j.ress.2025.111107 · ExternalCitation · doi-reference
An active learning method based on Monte Carlo dropout neural network for high-dimensional reliability analysis
10.1016/j.ress.2025.111169 · ExternalCitation · doi-reference
Combined dimensionality reduction based adaptive polynomial chaos expansion for high-dimensional reliability analysis
10.1016/j.ress.2025.111324 · ExternalCitation · doi-reference
Reliability assessment methods considering failure correlation and importance analysis for multiple progressive damage
10.1016/j.ress.2025.111389 · ExternalCitation · doi-reference
Reliability analysis of structures by multiple sparse polynomial chaos expansion based adaptive metamodel
10.1016/j.ress.2025.111508 · ExternalCitation · doi-reference
A copula-based transitional markov chain Monte Carlo method for bayesian model updating
10.1016/j.ress.2025.111572 · ExternalCitation · doi-reference
An improved adaptive gradient-based optimization algorithm for estimating the parameters of three-parameter weibull distribution: an application of aero-engine reliability assessment
10.1016/j.ress.2025.111610 · ExternalCitation · doi-reference
Multi-objective optimization for pipeline systems: a maintenance model using NSGA-II considering flow capacity and total cost
10.1016/j.ress.2025.111663 · ExternalCitation · doi-reference
Multidisciplinary reliability-based design optimization of floating offshore wind turbine support structure and tuned mass-damper-inerter
10.1016/j.ress.2025.111715 · ExternalCitation · doi-reference
Multi-fidelity subset simulation for rare event simulation
10.1016/j.ress.2025.111739 · ExternalCitation · doi-reference
A dynamic inspection and replacement policy for systems subject to degradation and periodic shocks
10.1016/j.ress.2025.111765 · ExternalCitation · doi-reference
Resilience improvement framework based on strategy optimization of power systems to typhoons
10.1016/j.ress.2025.111855 · ExternalCitation · doi-reference
Estimating predictive failure probability and its update under newly available observations by a layered cluster importance sampling algorithm
10.1016/j.ress.2025.111871 · ExternalCitation · doi-reference
An integrated framework for reliability analysis and design optimization using input, simulation, and experimental data: confidence-based design optimization under aleatory and epistemic uncertainty
10.1016/j.ress.2025.111895 · ExternalCitation · doi-reference
Mixed loss-guided modular regression for dependent system reliability
10.1016/j.ress.2025.111898 · ExternalCitation · doi-reference
Adaptive kriging-assisted enhanced sparrow search with augmented-lagrangian first-order reliability method for highly efficient structural reliability analysis
10.1016/j.ress.2025.111916 · ExternalCitation · doi-reference
AK-TSYS: an enhanced active learning kriging model for time-dependent system reliability analysis
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