Article
Computer Science, Interdisciplinary Applications
Llewellyn Morse, Lorenzo Cartabia, Vincenzo Mallardo
Summary: A novel methodology is proposed for optimizing the reliability-based manufacturing cost of composite aircraft structures. The approach utilizes a comprehensive bottom-up costing method to accurately estimate manufacturing costs and combines a genetic algorithm and deep neural network to determine the optimal ply stacking sequence. The results demonstrate the importance of considering non-material costs in the design of composite aircraft structures.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Mechanics
Sang Min Baek, Won Jun Lee
Summary: Functional composites with nanofillers are used to enhance radar absorbing structures (RAS), with the relative permittivity of RAS substrate measured under various environmental conditions. Maximum likelihood estimation is used to determine probability distributions of dielectric materials for RAS, and RBDO is applied for reliability-based design optimization. RBDO results in a significant reduction in failure probability despite a slight increase in total thickness.
COMPOSITE STRUCTURES
(2021)
Article
Computer Science, Interdisciplinary Applications
Dongjin Lee, Sharif Rahman
Summary: This article introduces a new computational method, the MPSS-GPCE method, for reliability-based design optimization of complex mechanical systems. The method allows for simultaneous computation of failure probability and design sensitivities from a single stochastic simulation, making it applicable for solving industrial-scale problems with large design spaces.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Aerospace
F. Caputo, G. Lamanna, D. Perfetto, A. Chiariello, F. Di Caprio, L. Di Palma
Summary: This study developed an improved numerical model based on the explicit finite element method to investigate the energy absorption capabilities of a full-scale composite fuselage section and related biomechanical injuries. Experimental results showed good prediction capability of the numerical model, suggesting potential for improving crashworthy components for future certification purposes.
Article
Engineering, Aerospace
Antonio Garofano, Andrea Sellitto, Valerio Acanfora, Francesco Di Caprio, Aniello Riccio
Summary: The increasing use of composite materials in the aviation industry has led to the need for efficient optimization methods for designing composite laminates. The Double-Double (DD) approach has been proven effective in optimizing composite structures for weight reduction and strength, while also improving crashworthiness and passive safety. The use of optimized skin in aircraft structures has resulted in significant mass reduction and compliance with fuel consumption and emission regulations.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Mechanical
Haichao An, Byeng D. Youn, Heung Soo Kim
Summary: This paper proposes a reliability-based design framework that considers both delamination and material property uncertainties in composite structures during manufacturing process. By utilizing a new reliability analysis method and surrogate modeling approach for handling mixed continuous-discrete random variables, the accuracy and efficiency of the design are improved.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Engineering, Multidisciplinary
Mingyang Li, Zequn Wang
Summary: This paper presents a latent adaptation-based deep learning approach to enhance the accuracy of deep networks under data constraint. By introducing latent space and a latent adaptation strategy, the generalization issue caused by different distributions of training and test samples is addressed.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Aerospace
Saiaf Bin Rayhan, Xue Pu
Summary: In the past two decades, there have been significant developments in aircraft crashworthiness, thanks to modern computing systems and commercial finite element codes. However, the design of the fuselage section with an onboard auxiliary fuel tank has presented challenges in installing an efficient energy absorber. To address this issue, a PVC composite foam and aluminum plate were introduced beneath the fuel tank to enhance the crashworthiness metrics of the fuselage. Experimental results showed that reinforcing the foam and plate improves the kinetic energy absorption by 3.54% and contributes 20% to the total internal energy dissipation. Numerical outcomes also indicated a 41% reduction in maximum stress on the cabin floor surface and a decrease in maximum peak acceleration responses of the cabin floor at different locations by 6% to 36%.
Article
Mechanics
Parviz Mohammad Zadeh, Mostafa Mohagheghi
Summary: This paper presents an efficient multi-objective reliability-based design optimization method for composite structures, utilizing a hybrid decomposing-based algorithm and bi-level modeling strategy with both reliability and weight as objective functions. Demonstrated using laminated composite plate and benchmark problems, the proposed method shows computational efficiency and accuracy in evaluating the design performance of composite structures.
COMPOSITE STRUCTURES
(2022)
Article
Computer Science, Interdisciplinary Applications
Kwangkyu Yoo, Omar Bacarreza, M. H. Ferri Aliabadi
Summary: A new multi-fidelity modelling-based probabilistic optimisation framework for composite structures is proposed in this paper, which significantly reduces computational time while maintaining high levels of accuracy, demonstrated through engineering examples.
ENGINEERING WITH COMPUTERS
(2022)
Article
Thermodynamics
Xue An, Dongyan Shi
Summary: In this paper, a SAP method based on active set strategy is proposed to improve the evaluation efficiency of failure probability in RBDO models. By establishing an active set strategy and a decision factor, the reliability assessment and outer optimization are carried out simultaneously, thus accelerating the computation process. Numerical examples demonstrate the excellent performance and capability of the proposed method in efficiency and robustness for solving complex RBDO problems.
ADVANCES IN MECHANICAL ENGINEERING
(2022)
Article
Mechanics
Changcong Zhou, Chen Li, Hanlin Zhang, Haodong Zhao, Chunping Zhou
Summary: This work discusses an approach based on adaptive Kriging for reliability and sensitivity analysis of composite structures, estimating failure probability, local and global sensitivity. By analyzing composite beams, plates, and radomes, the accuracy and efficiency of the Kriging based approach were validated for evaluating the reliability of composite structures.
COMPOSITE STRUCTURES
(2021)
Article
Engineering, Geological
Qian Wang, Paul Owens
Summary: This research introduces a new RBDO approach for geotechnical systems, which separates numerical reliability analysis and design optimization using adaptive metamodels, achieving promising results.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Materials Science, Multidisciplinary
Khalil Dammak, Ahmad Baklouti, Abdelkhalak El Hami
Summary: In this article, structural and thermal analysis are conducted on the disk to optimize the design by minimizing volume while meeting stress and temperature constraints. The Kriging meta-model is employed to provide a more accurate approximation of the original model with 50 LHS points. The optimal design results in a weight reduction of 32.67% compared to the initial model.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Mathematics
Li Lu, Yizhong Wu, Qi Zhang, Ping Qiao
Summary: To overcome the expensive function evaluation in practical RBDO, a black box-based method has been proposed. This study introduces a transformation-based improved kriging method to enhance the solving ability of the black box RBDO problem. The proposed method accurately constructs the surrogate model of the constraint function and efficiently solves the problem through the outer construction loop and inner surrogate model-based solving loop.
