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Issues
September 2022
In Progress
ISSN 1050-0472
EISSN 1528-9001
In this Issue
Special Issue: Integrated Design and Operation of Engineering Systems with Predictive Modeling
Research Papers
Design Automation
Reliability-Based Multivehicle Path Planning Under Uncertainty Using a Bio-Inspired Approach
Yixuan Liu, Chen Jiang, Xiaoge Zhang, Zissimos P. Mourelatos, Dakota Barthlow, David Gorsich, Amandeep Singh, Zhen Hu
J. Mech. Des. September 2022, 144(9): 091701.
doi: https://doi.org/10.1115/1.4053217
Topics:
Mechanical admittance
,
Path planning
,
Reliability
,
Uncertainty
,
Vehicles
,
Soil
,
Roads
,
Biomimetics
,
Algorithms
,
Simulation
Valuation of Continuous Monitoring Systems for Engineering System Design in Recurrent Maintenance Decision Scenarios
J. Mech. Des. September 2022, 144(9): 091702.
doi: https://doi.org/10.1115/1.4054493
Data Fusion With Latent Map Gaussian Processes
J. Mech. Des. September 2022, 144(9): 091703.
doi: https://doi.org/10.1115/1.4054520
Topics:
Calibration
,
Data fusion
,
Modeling
,
Noise (Sound)
,
Errors
Probabilistic Digital Twin for Additive Manufacturing Process Design and Control
J. Mech. Des. September 2022, 144(9): 091704.
doi: https://doi.org/10.1115/1.4054521
Topics:
Digital twin
,
Manufacturing
,
Optimization
,
Physics
,
Process control
,
Process design
,
Uncertainty
,
Additive manufacturing
,
Lasers
,
Porosity
Reinforcement Learning-Based Sequential Batch-Sampling for Bayesian Optimal Experimental Design
J. Mech. Des. September 2022, 144(9): 091705.
doi: https://doi.org/10.1115/1.4054631
Topics:
Algorithms
,
Design
,
Experimental design
,
Optimization
,
Airfoils
,
Reinforcement learning
Bias-Learning-Based Model Predictive Controller Design for Reliable Path Tracking of Autonomous Vehicles Under Model and Environmental Uncertainty
J. Mech. Des. September 2022, 144(9): 091706.
doi: https://doi.org/10.1115/1.4054674
Topics:
Autonomous vehicles
,
Control equipment
,
Design
,
Dynamic models
,
Errors
,
Tires
,
Uncertainty
,
Vehicles
,
Simulation
,
Roads
Artificial Intelligence Design for Ship Structures: A Variant Multiple-Input Neural Network-Based Ship Resistance Prediction
J. Mech. Des. September 2022, 144(9): 091707.
doi: https://doi.org/10.1115/1.4053816
Topics:
Algorithms
,
Artificial neural networks
,
Design
,
Geometry
,
Hull
,
Ships
,
Artificial intelligence
Design of Unmanned Cable Shovel Based on Multiobjective Co-Design Optimization of Structural and Control Parameters
J. Mech. Des. September 2022, 144(9): 091708.
doi: https://doi.org/10.1115/1.4054808
Topics:
Cables
,
Design
,
Optimization
,
Trajectories (Physics)
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Estimation of Small Failure Probability Based on Adaptive Subset Simulation and Deep Neural Network
J. Mech. Des (October 2022)
