A5063040747- Structural Health Monitoring Techniques
- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
- Innovative concrete reinforcement materials
- Industrial Vision Systems and Defect Detection
- Structural Behavior of Reinforced Concrete
- Non-Destructive Testing Techniques
- Vibration and Dynamic Analysis
- Structural Load-Bearing Analysis
- Advanced Measurement and Detection Methods
- Ultrasonics and Acoustic Wave Propagation
- Structural Engineering and Vibration Analysis
- Advanced Fiber Optic Sensors
- Structural Engineering and Materials Analysis
- Concrete and Cement Materials Research
- Advanced Algorithms and Applications
- Neural Networks and Applications
- BIM and Construction Integration
- Flow Measurement and Analysis
- Topology Optimization in Engineering
- Innovations in Concrete and Construction Materials
- Advanced Machining and Optimization Techniques
- Hydrogen embrittlement and corrosion behaviors in metals
- Structural Analysis and Optimization
- Water Quality Monitoring Technologies
Marche Polytechnic University
2022-2025
Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf
2024-2025
Abstract In recent decades, swarm optimization methods have been employed to address various problems in structural health monitoring (SHM). One of the widely recognized swarm-based algorithms, particle (PSO), has gained significant popularity and found extensive applications across diverse fields. However, it presents some limitations, such as low convergence rate iterative process. The butterfly algorithm (BOA) is a recently developed that demonstrated its performance solving variety...
Damage detection and localization in civil engineering constructions using dynamic analysis has become an important topic recent years. This paper presents a methodology based on non-destructive detection, quantification of multiple damages simple continuous beams, more complex structure, namely two-dimensional frame structure. The proposed makes used Firefly Algorithm Genetic as optimization tools the Coordinate Modal Assurance Criterion objective function. results show that combination or...
Damage detection and localization in civil engineering constructions using dynamic analysis has become an important topic recent years. This paper presents a methodology based on non-destructive detection, quantification of multiple damages simple continuous beams, more complex structure, namely two-dimensional frame structure. The proposed makes used Firefly Algorithm Genetic as optimization tools the Coordinate Modal Assurance Criterion objective function. results show that combination or...
Cellular steel beams are primarily used to accommodate electrical and mechanical services within their structural depth, helping reduce the floor-to-ceiling height in buildings. These often tapered for various reasons, such as connecting members (e.g., beams) of different depths, adjusting stiffness specific areas, or enhancing architectural design. This paper presents an algorithm developed using MATLAB R2019a artificial neural network (ANN) predict deflection cellular beams. The approach...
Technological advancements in the field of artificial intelligence have enabled significant progress various areas, particularly optimizing structural configuration multi-layer composites. The main objective this study is to investigate how geometric parameters, such as fiber orientation and number layers, influence mechanical properties these materials. To predict based on layers during bending tests, we used a hybrid E-Jaya-ANN optimization technique compared it with Jaya-ANN evaluate...
Introduction/purpose: The aim of this study is to examine the buckling and free vibration behavior laminated composite plates reinforced with carbon nanotubes when various sources uncertainty are taken into account 1 main focus being existence porosity. Methods: A porous plate model developed using a high order shear deformation theory. Different configurations functionally graded aligned single-walled throughout thickness each layer investigated. effective properties materials evaluated...
Detecting and locating damage is essential in maintaining structural integrity. While Artificial Neural Networks (ANNs) are effective for this purpose, their performance can be significantly improved through advanced optimization techniques. This study introduces a novel approach using the Grasshopper Optimization Algorithm (GOA) to enhance ANN capabilities predicting defect aluminum plates. The methodology begins by deriving input parameters from natural frequencies, with locations as...
This paper introduces an innovative approach that advances the prediction of damage size through synergistic integration several key elements: finite element (FE) simulation utilizing ABAQUS, fatigue analysis employing FE-SAFE, and application Artificial Neural Network-Pseudo Swarm Optimization (ANN-PSO). The novelty this lies in its comprehensive modeling entire deformation process, including fracture plate specimens constructed from API X 70 steel pipelines. utilizes a phenomenological...
Damage detection and localization in civil engineering constructions using dynamic analysis has become an important topic recent years. This paper presents a methodology based on non-destructive detection, quantification of multiple damages simple continuous beams, more complex structure, namely two-dimensional frame structure. The proposed makes used Firefly Algorithm Genetic as optimization tools the Coordinate Modal Assurance Criterion objective function. results show that combination or...