Article
Engineering, Multidisciplinary
Gisele L. Garcez, Renato Pavanello, Renato Picelli
Summary: This article proposes an approach to stress-based topology optimization of continuous elastic bi-dimensional structures using the Bi-directional Evolutionary Structural Optimization (BESO) method. The method considers design-dependent self-weight loads and aims to minimize the P-norm von Mises stress while satisfying a volume constraint. The effectiveness of the method is validated through numerical examples and comparisons with traditional compliance minimization.
ENGINEERING OPTIMIZATION
(2023)
Article
Engineering, Multidisciplinary
G. L. Garcez, R. Picelli, R. Pavanello
Summary: This article presents an approach for structural topology optimization based on stress, considering design-dependent surface loads. The algorithm adapts the stress minimization version of the bi-directional evolutionary structural optimization method and incorporates surface loads. The P-norm of von Mises stress is used as an aggregate function, and volume constraints are applied. Stresses are obtained using the finite element method for two-dimensional elastic structures. Sensitivity analysis is conducted using the adjoint method, including design-dependent surface loads. Three examples, including the piston head problem, simply supported beam, and L-bracket, demonstrate the effectiveness of the proposed method in reducing maximum stress and generating easily manufacturable topologies.
ENGINEERING OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Yanfa Wu, Wenke Qiu, Liang Xia, Wenbiao Li, Kai Feng
Summary: This work improves a previous stress-constrained topology optimization method and applies it to a typical aircraft engine bracket design problem. The improved method uses a more efficient and versatile self-adaptive scheme for determining the Lagrange multiplier, resulting in a bracket design that outperforms the original in terms of weight, stiffness, and strength.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Yongsheng Han, Bin Xu, Qian Wang, Yuanhao Liu
Summary: This study proposes a method for topology optimization of continuum structures with density-dependent inertial loads, including self-weight, centrifugal forces, and acceleration of inertial loads, using an extended bi-directional evolutionary structural optimization method. The approach considers different combinations of inertial loads and fixed forces to achieve maximum stiffness, with detailed computation of element sensitivity numbers for optimum design. MATLAB programming and testing on benchmark examples show that inertial loads significantly impact topological structure, especially when external forces are small, resulting in changes to the objective function and fast convergence rates.
ADVANCES IN ENGINEERING SOFTWARE
(2021)
Article
Engineering, Multidisciplinary
Wenke Qiu, Shaomeng Jin, Liang Xia, Tielin Shi
Summary: This work develops length scale control schemes for bi-directional evolutionary structural optimization method, enabling an enhanced and flexible control of structural member sizes. The schemes involve constraining local material volumes and post-processing modification of local features to control both maximum and minimum structural length scales, which are proven to be effective and efficient based on benchmark design results in both 2D and 3D cases.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Yongsheng Han, Bin Xu, Yuanhao Liu
Summary: Topology optimization is widely used in academia and industry, with many computer programs published for educational purposes. This study presents a MATLAB implementation of geometrically nonlinear topology optimization code, requiring a minimal number of lines for key steps such as design parameter initialization and sensitivity calculation.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Mechanical
Muayad Habashneh, Majid Movahedi Rad
Summary: The paper proposes a novel computational technique for thermoelastic structural topology optimization based on reliability-based design. The volume fraction parameter is treated as a random variable and a Monte Carlo simulation approach is used to calculate the reliability index. A new bi-directional evolutionary structural optimization scheme is developed, taking into account the impact of changing constraints in deterministic and probabilistic problems. The effectiveness of the approach is demonstrated using benchmark problems and a 2D L-shaped beam problem.
INTERNATIONAL JOURNAL OF MECHANICS AND MATERIALS IN DESIGN
(2023)
Article
Engineering, Multidisciplinary
Yongsheng Han, Bin Xu, Zunyi Duan, Xiaodong Huang
Summary: This paper proposes a new methodology for structural topology optimization that takes into account non-linear continuum damage for stress minimization design. A quasi-static non-local damage model is integrated into a linear finite element analysis to model the structural damage, and the Bi-directional Evolutionary Structural Optimization (BESO) method is used to address singularity issues. The effectiveness of the proposed method is demonstrated through numerical tests and comparison with stiffness maximization design.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Mechanics
Yu Li, Yi Min Xie
Summary: This paper proposes a method for multi-material topology optimization based on the BESO technique, which efficiently distributes multiple materials by assigning suitable materials based on the sum of principal stresses. Numerical examples demonstrate the effectiveness of the method in material saving and safety enhancement, showing practical value for conceptual design of multi-material structures like bridges.
COMPOSITE STRUCTURES
(2021)
Article
Computer Science, Interdisciplinary Applications
Bin Xu, Yongsheng Han, Lei Zhao
Summary: This paper extends current concepts of topology optimization to the design of structures made of nonlinear materials by proposing an extended BESO method. The method effectively avoids singularity problems in density-based methods and improves convergence through sensitivity and topological variable filters. The effectiveness of the proposed method is demonstrated through several 2D benchmark design problems.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Review
Computer Science, Interdisciplinary Applications
Fabio Morais de Andrade, Cristina Almeida Magalhaes
Summary: This study aims to apply the BESO method for optimizing energy absorbing structures and compare it with other methods. Two examples were used to demonstrate that the same topology can be achieved with different materials and between different methodologies.
ADVANCES IN ENGINEERING SOFTWARE
(2022)
Article
Engineering, Civil
Majid Movahedi Rad, Muayad Habashneh, Janos Logo
Summary: This paper presents a reliability-based geometrically nonlinear topology optimization method, calculating the probability of failure and reliability index through Monte-Carlo simulation, and considering the impact of geometrically nonlinear design using the bi-directional evolutionary structural optimization (BESO) method.
Article
Engineering, Multidisciplinary
Seyyed Ali Latifi Rostami, Amin Kolahdooz, Jian Zhang
Summary: This research introduces a novel algorithm for robust topology optimization of continuous structures under material and loading uncertainties by combining ESO method with XFEM. The method eliminates the need for post-processing and improves reliability in material and loading uncertainty, showcasing advantages over traditional methods.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2021)
Article
Engineering, Mechanical
Junseok Shin, Cheol Kim
Summary: This study combines deep learning and neural networks with the BESO topology method, utilizing pre-trained digital images to quickly obtain optimal topology solutions. A new post-processor is developed to reconstruct the relative locations among finite elements in the raw outputs, resulting in improved optimization efficiency.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Prabhat Kumar
Summary: This paper introduces a compact MATLAB code, TOPress, for topology optimization of structures subjected to fluidic pressure loads. The code utilizes the Darcy law and drainage term to model the applied pressure load and calculates load sensitivities using the adjoint-variable method. Benchmark numerical examples are solved to demonstrate the success and efficacy of the code.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Renato Picelli, A. Neofytou, H. Alicia Kim
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2019)
Article
Materials Science, Multidisciplinary
Scott Townsend, Stephen Grigg, Renato Picelli, Carol Featherston, Hyunsun Alicia Kim
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
(2019)
Article
Computer Science, Interdisciplinary Applications
Raghavendra Sivapuram, Renato Picelli
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2020)
Article
Mechanics
D. A. Damasceno, R. K. N. D. Rajapakse, E. Mesquita, R. Pavanello
Article
Computer Science, Artificial Intelligence
David Guirguis, Nikola Aulig, Renato Picelli, Bo Zhu, Yuqing Zhou, William Vicente, Francesco Iorio, Markus Olhofer, Wojciech Matusiks, Carlos Artemio Coello Coello, Kazuhiro Saitou
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2020)
Article
Computer Science, Interdisciplinary Applications
Heitor Nigro Lopes, Jarir Mahfoud, Renato Pavanello
Summary: This study focuses on topology optimization and wave propagation analysis of frequency separation interval in continuous elastic bi-dimensional structures in the high-frequency domain. The algorithm, based on BESO, considers multiple modes by using weighted natural frequency. The optimized structural topologies are well-defined, with satisfactory natural frequency separation intervals.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Multidisciplinary
Edgar A. Patino-Narino, Andres F. Galvis, Renato Pavanello, Stanislav A. Moshkalev
Summary: This study presents a numerical investigation of the two-phase flow simulation of a bubble rising in a viscous liquid using a 2D model and SPH method. The results show that the morphology of the bubble varies under different parameters, and the bubble deformation changes when influenced by sidewalls.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2021)
Article
Engineering, Marine
Rodrigo Batista Tommasini, Thomas L. Hill, John H. G. Macdonald, Renato Pavanello, Leonardo de Oliveira Carvalho
Summary: This study analyzes the dynamics of deep water subsea lifting operations considering hydrodynamic coefficients dependent on the Keulegan-Carpenter (KC) number. The results show that when considering variable hydrodynamic coefficients, the harmonic balance method can provide almost as accurate results as time domain integration while requiring significantly less computational effort.
Article
Engineering, Marine
Rodrigo Batista Tommasini, Thomas L. Hill, John H. G. Macdonald, Renato Pavanello, Leonardo de Oliveira Carvalho
Summary: This study analyzed the dynamics of deep water subsea lifting operations experiencing super-harmonic resonance, finding that the harmonic balance method can provide a fast and accurate solution. Super-harmonic resonances, such as 1:3 and 1:5, were identified as significant features of the system response which should be taken into account during analysis.
Article
Engineering, Mechanical
Heitor Nigro Lopes, Daniel Candeloro Cunha, Renato Pavanello, Jarir Mahfoud
Summary: The study utilized the BESO algorithm for topology optimization to maximize the natural frequency separation interval of a structure, solving issues with disconnected and trivial solutions through connectivity constraints. Feasibility of the structure was assessed by verifying compliance with manufacturing and design constraints.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Multidisciplinary
G. L. Garcez, R. Picelli, R. Pavanello
Summary: This article presents an approach for structural topology optimization based on stress, considering design-dependent surface loads. The algorithm adapts the stress minimization version of the bi-directional evolutionary structural optimization method and incorporates surface loads. The P-norm of von Mises stress is used as an aggregate function, and volume constraints are applied. Stresses are obtained using the finite element method for two-dimensional elastic structures. Sensitivity analysis is conducted using the adjoint method, including design-dependent surface loads. Three examples, including the piston head problem, simply supported beam, and L-bracket, demonstrate the effectiveness of the proposed method in reducing maximum stress and generating easily manufacturable topologies.
ENGINEERING OPTIMIZATION
(2023)
Article
Mathematics, Applied
Rodrigo L. Pereira, Heitor N. Lopes, Renato Pavanello
Summary: This work presents a new acoustic topology optimization methodology for the design of systems with rigid and porous materials. The methodology combines the BESO algorithm and the Virtual Temperature Method to achieve a multiconstrained optimization. Numerical examples are used to demonstrate the effectiveness of the proposed approach.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2022)
Article
Engineering, Marine
Rodrigo Batista Tommasini, Renato Pavanello, Leonardo de Oliveira Carvalho
Proceedings Paper
Engineering, Ocean
Rodrigo Batista Tommasini, Leonardo de Oliveira Carvalho, Renato Pavanello
PROCEEDINGS OF THE ASME 38TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2019, VOL 5B
(2019)
Article
Mechanics
Breno Vincenzo de Almeida, Renato Pavanello
JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS
(2019)