Adaptive Sampling Assisted Surrogate Modeling of Initial Failure Envelopes of Composite Structures

2021 ◽  
pp. 113985
Author(s):  
Su Tian ◽  
Wenbin Yu
Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5332
Author(s):  
Carlos A. Duchanoy ◽  
Hiram Calvo ◽  
Marco A. Moreno-Armendáriz

Surrogate Modeling (SM) is often used to reduce the computational burden of time-consuming system simulations. However, continuous advances in Artificial Intelligence (AI) and the spread of embedded sensors have led to the creation of Digital Twins (DT), Design Mining (DM), and Soft Sensors (SS). These methodologies represent a new challenge for the generation of surrogate models since they require the implementation of elaborated artificial intelligence algorithms and minimize the number of physical experiments measured. To reduce the assessment of a physical system, several existing adaptive sequential sampling methodologies have been developed; however, they are limited in most part to the Kriging models and Kriging-model-based Monte Carlo Simulation. In this paper, we integrate a distinct adaptive sampling methodology to an automated machine learning methodology (AutoML) to help in the process of model selection while minimizing the system evaluation and maximizing the system performance for surrogate models based on artificial intelligence algorithms. In each iteration, this framework uses a grid search algorithm to determine the best candidate models and perform a leave-one-out cross-validation to calculate the performance of each sampled point. A Voronoi diagram is applied to partition the sampling region into some local cells, and the Voronoi vertexes are considered as new candidate points. The performance of the sample points is used to estimate the accuracy of the model for a set of candidate points to select those that will improve more the model’s accuracy. Then, the number of candidate models is reduced. Finally, the performance of the framework is tested using two examples to demonstrate the applicability of the proposed method.


2022 ◽  
pp. 1-24
Author(s):  
G. Corrado ◽  
A. Arteiro ◽  
A.T. Marques ◽  
J. Reinoso ◽  
F. Daoud ◽  
...  

Abstract This paper presents the extension and validation of omni-failure envelopes for first-ply failure (FPF) and last-ply failure (LPF) analysis of advanced composite materials under general three-dimensional (3D) stress states. Phenomenological failure criteria based on invariant structural tensors are implemented to address failure events in multidirectional laminates using the “omni strain failure envelope” concept. This concept enables the generation of safe predictions of FPF and LPF of composite laminates, providing reliable and fast laminate failure indications that can be particularly useful as a design tool for conceptual and preliminary design of composite structures. The proposed extended omni strain failure envelopes allow not only identification of the controlling plies for FPF and LPF, but also of the controlling failure modes. FPF/LPF surfaces for general 3D stress states can be obtained using only the material properties extracted from the unidirectional (UD) material, and can predict membrane FPF or LPF of any laminate independently of lay-up, while considering the effect of out-of-plane stresses. The predictions of the LPF envelopes and surfaces are compared with experimental data on multidirectional laminates from the first and second World-Wide Failure Exercise (WWFE), showing a satisfactory agreement and validating the conservative character of omni-failure envelopes also in the presence of high levels of triaxiality.


2019 ◽  
Vol 58 (40) ◽  
pp. 18703-18716 ◽  
Author(s):  
Corina Nentwich ◽  
Joschka Winz ◽  
Sebastian Engell

2011 ◽  
Vol 78 (6) ◽  
Author(s):  
Michael R. Motley ◽  
Yin L. Young ◽  
Zhanke Liu

In recent years, there has been an increased interest in the use of advanced composites in marine applications. It has been shown that by exploiting the inherent anisotropic nature of the material, fiber-reinforced composite structures can be tailored to allow automatic, passive, three-dimensional (3D) adaptive/morphing capabilities such that they outperform their rigid counterparts both hydrodynamically and structurally. Much of the current research on the shock response of composite structures focuses on air-backed structures with fixed-fixed or simply supported boundary conditions. Nevertheless, many critical components of marine structures where adaptive/morphing capabilities are needed are cantilevered-type structures, including propeller and turbine blades, hydrofoils, and rudders. This paper investigates the 3D transient response of cantilevered, anisotropic, composite marine structures, namely, fully submerged cantilevered plates, subject to a range of shock loads. Structural responses and the initial failure loads of a composite plate are compared with a nickel-aluminum-bronze plate. Discussions of the fluid and structural responses of both materials are presented, and the initial failure loads of both materials are compared.


2022 ◽  
Author(s):  
Subham Gupta ◽  
Achyut Paudel ◽  
Mishal Thapa ◽  
Sameer B. Mulani ◽  
Robert Walters

Author(s):  
Pawel Barmuta ◽  
Francesco Ferranti ◽  
Konstanty Lukasik ◽  
Arkadiusz Lewandowski ◽  
Dominique Schreurs

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