Article
Computer Science, Interdisciplinary Applications
Guilherme Ferreira Gomes, Fabricio Alves de Almeida, Antonio Carlos Jr Jr Ancelotti, Sebastiao Simoes Jr Jr Jr da Cunha
Summary: Damage detection methods in engineering are crucial for structural safety. A proposed inverse algorithm based on strain fields combines experimental tests, digital image correlation (DIC), and a powerful optimization algorithm (SFO) to accurately identify the location and dimension of damages in mechanical structures. The efficiency of the proposed method was demonstrated through numerical and experimental tests.
ENGINEERING WITH COMPUTERS
(2021)
Article
Engineering, Multidisciplinary
X. Y. Li, S. J. Lin, S. S. Law, Y. Z. Lin, J. F. Lin
Summary: The article discusses the limitations of existing algorithms and damage indices for damage diagnosis, highlighting the potential benefits of combining different evaluation methodologies. By analyzing various test results, it is possible to enhance the final structural damage information effectively.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Engineering, Civil
Alberto Barontini, Maria Giovanna Masciotta, Paulo Amado-Mendes, Luis F. Ramos, Paulo B. Lourenco
Summary: This study focuses on analyzing a global methodology for damage detection using the Negative Selection Algorithm, with the goal of addressing damage identification in Civil Engineering products and validating the algorithm through a masonry arch experiment.
ENGINEERING STRUCTURES
(2021)
Article
Acoustics
Xiao Liu, Jun Li, Jianjian Zhu, Yishou Wang, Xinlin Qing
Summary: The study employed the SAFE method and micromechanical model to analyze the Lamb wave propagation characteristics in CFRP, and monitored the vacuum bag moulding process using FBG and piezoelectric sensors.
Article
Acoustics
Shumao Qiu, Ziyan Wu, Mengying Li, Haifeng Yang, Feng Yue
Summary: Stiffened plate structures are commonly used in various fields, and Structural Health Monitoring (SHM) is an important tool to ensure their safe operation. In this paper, a complete damage localization and quantification system based on the inverse finite element method (iFEM) is proposed for stiffened cantilever plates. The system can recognize real-time damage locations independent of loads and load combinations, and accurately determine damage severities using Bayesian learning (BL) algorithm. The method transforms mode shapes into strain modes, making it easier to obtain and suitable for structures with rotational degrees of freedom. It can detect true damage locations and severities even with a limited number of strain sensors and measurement noise.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Civil
Amin Abdolkhani, Reza Raoufi
Summary: This research presents a procedure to automatically identify the modal characteristics of structures in order to detect and quantify localized damage in frequency domain. The proposed method utilizes acceleration frequency response, natural frequency, and mode shapes to identify the structural stiffness and damping ratio of the damaged structure. The method also uses a genetic optimization algorithm to update incomplete data in unmeasured degrees of freedom. The method has been tested and proven accurate and efficient in identifying the modal characteristics and stiffness reduction factor of a damaged structure in various cases along with 5% noise in the input force and response of the system.
Article
Engineering, Civil
Meysam Ramezani, Omid Bahar
Summary: This study proposes a new method for detecting damage severity and location in structures using an Improved Genetic Algorithm based on a limited number of mode shapes. By identifying healthy elements and focusing on damaged elements, the method accurately estimates the severity of damage. Results show that the method can accurately detect damage even in the presence of noise, using one mode in 2D structures and two modes in 3D structures. Additionally, the method is effective in estimating connection stiffness in cantilever beams by using rotational mode shapes.
SMART STRUCTURES AND SYSTEMS
(2021)
Article
Construction & Building Technology
Dana Nasr, Reina El Dahr, Joseph Assaad, Jamal Khatib
Summary: In this study, a robust optimal sensor placement framework combining the simulated annealing algorithm and the ensemble Kalman filter is proposed for structural health monitoring and system identification. The performance and computational burden of two different approaches, genetic algorithm-ensemble Kalman filter and simulated annealing-ensemble Kalman filter, are compared. The results show that the genetic algorithm-ensemble Kalman filter outperforms the simulated annealing-ensemble Kalman filter in terms of accuracy, while the simulated annealing-ensemble Kalman filter has a lower computational cost.
Article
Mechanics
Xoan F. Sanchez-Romate, Carlos Garcia, Joaquin Rams, Maria Sanchez, Alejandro Urena
Summary: The carbon nanotube (CNT) doped adhesive film has been shown to have good crack-sensing capabilities, with no negative impact on mechanical performance, and an increase in electrical resistance during crack propagation and adhesive deformation processes.
COMPOSITE STRUCTURES
(2021)
Article
Chemistry, Multidisciplinary
Xin Duan, Xi Chu, Weizhu Zhu, Zhixiang Zhou, Rui Luo, Junhao Meng
Summary: A method for structural full-field displacement monitoring and damage identification under natural texture conditions is proposed in this study. The feature points of the structure are extracted using the image scale-invariant feature transform, and a calculation theory for the structure's full-field displacement vector is established based on the analysis of the feature points' relative position change. The validation results show that the proposed method exhibits good performance in damage identification.
APPLIED SCIENCES-BASEL
(2023)
Article
Materials Science, Multidisciplinary
Sara Dasilva, Alberto Jimenez-Suarez, Elena Rodriguez, Silvia G. Prolongo
Summary: The study utilized an epoxy resin reinforced with MWCNT as a matrix for manufacturing Ti-CFRP joints, resulting in over 140% improvement in fracture resistance with optimal surface preparation. Electrical monitoring enhances reliability and performance during joint manufacturing, while the addition of CNT serves as a powerful tool for SHM in multi-material joints.
MATERIALS & DESIGN
(2021)
Article
Computer Science, Interdisciplinary Applications
Samir Tiachacht, Samir Khatir, Cuong Le Thanh, Ravipudi Venkata Rao, Seyedali Mirjalili, Magd Abdel Wahab
Summary: In this paper, a method combining MSEcr and SMA algorithm for damage detection, localization, and quantification is proposed. Experimental and simulation analyses show that this method can accurately predict the location and level of damage.
ENGINEERING WITH COMPUTERS
(2022)
Article
Engineering, Mechanical
M. Diaz, P. -E. Charbonnel, L. Chamoin
Summary: This paper presents a novel Optimal Sensor Placement (OSP) strategy that is dedicated to model updating problems based on the modified Constitutive Relation Error (mCRE) functional in low-frequency dynamics. The proposed approach utilizes Information Entropy and a modified Fisher information matrix to address the issue of parameter sensitivity discrepancy with respect to mCRE in damage detection problems.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Civil
Borna Rahnamay Farnod, Wesley F. Reinhart, Rebecca K. Napolitano
Summary: In this study, a scheme is proposed for estimating spatially varying elastic modulus fields of a structural element using differentiable physics to support structural health monitoring efforts. The effectiveness of this approach is demonstrated in finding structures with matching displacement responses, but limitations exist in recovering accurate material properties.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Eric M. Hernandez, Kalil Erazo
Summary: This paper investigates the impact of structural damage on the identifiability of nonlinear model parameters for building structures subjected to earthquake-induced base motions. The study aims to determine the level of physical damage necessary to accurately estimate the nonlinear parameters of restoring force models. Through analyses and simulations, the research examines if the parameters of a hysteretic (Bouc-Wen type) model can be identified with a predefined level of accuracy during seismic events causing minor damage. The obtained model is then evaluated for its ability to predict the response and damage during severe ground motions causing moderate-to-severe damage, using a Park-Ang type damage model and the unscented Kalman filter for parameter estimation. The results are validated through simulated building models and experimental data from a large-scale shake table test.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2023)
Article
Computer Science, Artificial Intelligence
Evandro Gabriel Magacho, Ariosto Bretanha Jorge, Guilherme Ferreira Gomes
Summary: Truss-type structures are widely used in engineering, but direct inspection techniques face difficulties in locating and identifying structural damage due to their large-scale nature. Therefore, structural health monitoring techniques based on optimization algorithms offer a promising and non-destructive solution. In this study, an inverse damage identification problem for large-scale lattice-type structures is solved using the SunFlower Optimization algorithm, which considers multiple damage sites and two objective functions. The inclusion of mode shapes in a multi-objective formulation improves the accuracy of damage identification. The multi-objective SFO algorithm outperforms NSGAII.
EVOLUTIONARY INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Joao Luiz Junho Pereira, Guilherme Antonio Oliver, Matheus Brendon Francisco, Sebastiao Simoes Cunha, Guilherme Ferreira Gomes
Summary: The Multi-objective Lichtenberg Algorithm is a hybrid meta-heuristic algorithm capable of dealing with multiple objectives, distributing points for evaluation through Lichtenberg patterns in each iteration. It has shown promising results in terms of convergence and maximum spread, outperforming traditional and recent algorithms.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Materials Science, Multidisciplinary
Guilherme Antonio Oliver, Joao Luiz Junho Pereira, Matheus Brendon Francisco, Guilherme Ferreira Gomes
Summary: This study conducted a statistical analysis on the effects of damage characteristics on a specific damage metric obtained from the discrete wavelet transform. The results provide a basis for developing more optimized and sophisticated methods for damage identification in structural health monitoring. The numerical methodology was validated through experimental tests, and the analysis results showed the sensitivity of parameters and their interaction.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Review
Materials Science, Multidisciplinary
Matheus Brendon Francisco, Joao Luiz Junho Pereira, Guilherme Antonio Oliver, Lucas Ramon Roque da Silva, Sebastiao Simoes Cunha, Guilherme Ferreira Gomes
Summary: This manuscript reviews over 150 papers on energy absorption of auxetic structures, highlighting the importance of additive manufacturing and numerical analysis in samples manufacturing. It also discusses various cell models related to auxetic structures, providing additional guidelines for engineers and designers.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Thermodynamics
T. A. Z. de Souza, J. L. J. Pereira, M. B. Francisco, C. A. R. Sotomonte, B. Jun Ma, G. F. Gomes, C. J. R. Coronado
Summary: This study provides a detailed analysis of hydrogen production using Response Surface Methodology and Lichtenberg Algorithm, aiming to quickly optimize steam reforming cycles considering different feedstock compositions and other characteristics. Comparison with other optimization studies demonstrates that this new methodology offers a quick and consistent method for optimizing steam reforming and potentially other thermodynamic cycles.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Materials Science, Composites
Daniel Brighenti Bortoluzzi, Camila Aparecida Diniz, Ronny Francis Ribeiro Jr, Matheus Brendon Francisco, Antonio Carlos Ancelotti Jr, Guilherme Ferreira Gomes
Summary: A great deal of research has shown that z-pins can significantly enhance the mechanical properties of carbon fiber composite laminates. This study investigates the modal responses of z-pinned composites using rectangular z-pin sizes and area density insertion design variables. The experimental results indicate an increase in the natural frequency and a reduction in vibration amplitude when compared to unpinned specimens. Furthermore, the study highlights the use of analysis of variance (ANOVA) and artificial neural networks (ANN) for analyzing and predicting the modal responses of z-pinned composites.
APPLIED COMPOSITE MATERIALS
(2023)
Article
Engineering, Civil
Matheus Brendon Francisco, Joao Luiz Junho Pereira, Sebastiao Simoes da Cunha, Guilherme Ferreira Gomes
Summary: This paper focuses on the multi-objective optimization of a tubular sandwich structure with an auxetic reentrant core. The Response Surface Methodology and the Multi-objective Lichtenberg Algorithm were used to find the optimized configuration of the structure. A parametric analysis was also conducted to study the influence of design factors on different responses. The results demonstrated the significant effect of unit cell height on failure load, natural frequency, and mass, while revealing the lack of correlation between unit cell height and Poisson's ratio.
ENGINEERING STRUCTURES
(2023)
Article
Computer Science, Artificial Intelligence
Joao Luiz Junho Pereira, Benedict Jun Ma, Matheus Brendon Francisco, Ronny Francis Ribeiro Jr, Guilherme Ferreira Gomes
Summary: Feature selection is a valuable tool in understanding problems in data mining, improving patterns and reducing computational costs. This study introduces a new metaheuristic called binary sunflower optimization (BSFO), which shows promising results in terms of fitness value and computational costs. The improved version, IBSFO, is compared with eight other metaheuristics and performs better in terms of fitness value and execution time.
Article
Computer Science, Artificial Intelligence
Joao Luiz Junho Pereira, Guilherme Ferreira Gomes
Summary: In order to tackle challenging engineering problems, the state-of-the-art in multi-objective optimization is shifting towards using meta-heuristics and a posteriori decision-making methods. The Multi-objective Sunflower Optimization (MOSFO) algorithm, inspired by the phototropic life cycle of sunflowers, was created and validated in this work. MOSFO demonstrated significant convergence and coverage capabilities and outperformed other popular and recent algorithms in most of the test functions, making it a promising method for problems with multiple objectives.
Article
Materials Science, Characterization & Testing
Lucas Antonio de Oliveira, Guilherme Ferreira Gomes, Joao Luiz Junho Pereira, Matheus Brendon Francisco, Anthonin Demarbaix, Sebastiao Simoes Cunha Jr
Summary: Infrared thermography technique is used to detect damage in metallic and non-metallic materials, and it helps in determining the safety of mechanical structures. Vibrothermography combines vibration and infrared thermography to identify internal damages through temperature mapping. The current study focuses on identifying different research approaches for damage identification and characterization, evaluating heat generation mechanisms in damaged regions, and utilizing mathematical methods to enhance the efficiency of damage detection and characterization.
JOURNAL OF NONDESTRUCTIVE EVALUATION
(2023)
Article
Engineering, Mechanical
Ronny Francis Ribeiro Junior, Fabricio Alves de Almeida, Ariosto Bretanha Jorge, Joao Luiz Junho Pereira, Matheus Brendon Francisco, Guilherme Ferreira Gomes
Summary: Fault diagnosis is crucial for maintenance industries to prevent catastrophic failures and save time and money. This paper proposes a model using uniaxial acceleration signals to cluster, identify, and diagnose six different failures in electric motors. Experiment results demonstrate the efficiency of the proposed method, with an average accuracy of 97.9%, especially in identifying bearing, unbalanced, and mechanical loss failures. The method can be used for early detection of fault conditions based on real electric motor experiments.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Hyan Candido Guedes, Joao Luiz Junho Pereira, Guilherme Ferreira Gomes
Summary: This study aims to develop and parametrically optimize a high-performance composite material using interpolation strategy, thickness variations, and the number of layers. Four different multi-objective optimizers were evaluated to minimize total mass and evaluate the Tsai-Wu failure criterion under different loading conditions. The MOPSO algorithm demonstrated superior robustness and significantly improved the optimal solution compared to the initial model.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Engineering, Civil
Rhuan Jose Ribeiro Pereira, Fabricio Alves de Almeida, Guilherme Ferreira Gomes
Summary: This study investigates the influence of printing parameters on the mechanical properties of 3D printed parts and performs a multi-objective optimization on the experimental results. The Design of Experiments methodology is used to evaluate five essential parameters: layer thickness, printing speed, infill density, filling pattern, and printing material. Mechanical tests are conducted to obtain experimental curves, and the ANOVA method is applied to obtain a behavior equation and Pareto graphs. The multi-objective optimization improves mechanical properties, reduces printing time by 72.39%, and increases mass by 9.06%.
Article
Materials Science, Composites
Anthonin Demarbaix, Imi Ochana, Julien Levrie, Isaque Coutinho, Sebastiao Simoes Cunha Jr, Marc Moonens
Summary: Nowadays, the additive manufacturing of multifunctional materials is thriving. The widely used fused deposition modeling (FDM) process for printing multimaterial parts has limitations in the mechanical properties and repeatability. This paper proposes the feasibility of printing parts with continuous carbon fiber and utilizing its electrical properties as an indicator. The results show a linear evolution of resistivity during the elastic period, but no correlation during plastic deformation. Superimposing layers of carbon fiber is preferable for equivalent length, resulting in greater variation in the electrical signal despite equivalent mechanical properties.
JOURNAL OF COMPOSITES SCIENCE
(2023)
