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Integration of Normative Decision-Making and Batch Sampling for Global Metamodeling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The cost of adaptive sampling for global metamodeling depends on the total number of costly function evaluations and to which degree these evaluations are performed in parallel. Conventionally, samples are taken through a ...
Data-Driven Topology Optimization With Multiclass Microstructures Using Latent Variable Gaussian Process
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The data-driven approach is emerging as a promising method for the topological design of multiscale structures with greater efficiency. However, existing data-driven methods mostly focus on a single class of microstructures ...
t-METASET: Task-Aware Acquisition of Metamaterial Datasets Through Diversity-Based Active Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Inspired by the recent achievements of machine learning in diverse domains, data-driven metamaterials design has emerged as a compelling paradigm that can unlock the potential of multiscale architectures. The model-centric ...
Reduction of Epistemic Model Uncertainty in Simulation Based Multidisciplinary Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Model uncertainty is a significant source of epistemic uncertainty that affects the prediction of a multidisciplinary system. In order to achieve a reliable design, it is critical to ensure that the disciplinary/subsystem ...
Wear Analysis of Two Revolute Joints With Clearance in Multibody Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The wear of multiple joints with clearance is one of the main impacts on the life of mechanical systems while very limited study has been done on this subject. To be different with many existed researches focused on the ...
A Descriptor Based Design Methodology for Developing Heterogeneous Microstructural Materials System
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In designing a microstructural materials system, there are several key questions associated with design representation, design evaluation, and design synthesis: how to quantitatively represent the design space of a ...
A Machine Learning Based Design Representation Method for Designing Heterogeneous Microstructures
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In designing microstructural materials systems, one of the key research questions is how to represent the microstructural design space quantitatively using a descriptor set that is sufficient yet small enough to be tractable. ...
A Spatial Random Process Based Multidisciplinary System Uncertainty Propagation Approach With Model Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The performance of a multidisciplinary system is inevitably affected by various sources of uncertainties, usually categorized as aleatory (e.g., input variability) or epistemic (e.g., model uncertainty) uncertainty. In the ...
Objective Oriented Sequential Sampling for Simulation Based Robust Design Considering Multiple Sources of Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Sequential sampling strategies have been developed for managing complexity when using computationally expensive computer simulations in engineering design. However, much of the literature has focused on objectiveoriented ...
Prediction of Brickwork Failure Using Discrete-Element Method
Publisher: American Society of Civil Engineers
Abstract: In this study, a discrete element approach is used to simulate brickwork. Bricks are represented by blocks with Mohr-Coulomb plasticity and strain softening. The mortar consists of elastic Voronoi blocks connected by ...