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Article
Chemistry, Physical
Muath A. A. Bani-Hani et al.
Summary: In this paper, the piezoelectric material direct effect is used to transform the impact force of rainfall droplets into a measurable voltage signal for sensing purposes. The constructed sensing device has great implications in various real-life applications, providing important information about the impact force of rainfall on soil erosion, small creatures, and plants.
Review
Chemistry, Multidisciplinary
Hamna Shaukat et al.
Summary: This paper provides a detailed review of different piezoelectric materials, their structures, fabrication processes, and applications in analytical chemistry. The benefits of using piezoelectric materials in gas and liquid chromatography, virus detection, water determination, trace metal analysis, and micro weight measurement with quartz crystal are described. Energy harvesting is important and developing self-powering devices using piezoelectric materials is gaining interest.
APPLIED SCIENCES-BASEL
(2023)
Article
Automation & Control Systems
Wael A. Altabey et al.
Summary: A deep neural network model is used to estimate the mass of liquid absorption in glass fiber reinforced epoxy laminated composite pipelines. The proposed method overcomes the problem of saving time and effort in accurately detecting the mass of liquid absorption and shows satisfactory performance with high accuracy, regression rate, and F-score.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Civil
Ahmed Silik et al.
Summary: Monitoring structural damage is crucial for maintaining the longevity and safety of civil and mechanical systems. However, capturing subtle damage from structural vibration response remains challenging. This study introduces a technique to extract informative damage-sensitive features and develop a pattern recognition-based statistical model. The proposed algorithm shows high efficiency and accuracy in determining the structural integrity state of complex systems.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2023)
Review
Energy & Fuels
Hamna Shaukat et al.
Summary: This article provides a detailed overview of the advanced applications of piezoelectric material in electrochemical processes. Energy harvesting, as a potential topic, aims to transform ambient energy sources into useful energy. The review focuses on connecting energy-harvesting devices and materials with electrochemical systems. The applications of piezoelectric material electrochemistry in dye degradation, hydrogen production, and other fields are discussed.
Article
Engineering, Multidisciplinary
Ahmed Silik et al.
Summary: This study proposes a new framework for choosing an appropriate wavelet for massive nonstationary data analysis, disturbances separation, and extraction of informative features associated with damage. The method takes into consideration various criteria and introduces new measures to evaluate the capabilities of base wavelets for decomposition and reconstruction of structural dynamic responses. Experimental and simulated data verification shows that small order Daubechies and Symlet wavelets, especially order 3, provide the best results for base wavelet selection. The proposed framework can be applied to other structural applications.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Review
Materials Science, Multidisciplinary
Martin Sobczyk et al.
Summary: This paper discusses the application of smart materials in addressing challenges in architecture, focusing on civil structures. It examines the types, applications, and innovation potential of smart materials in civil engineering, emphasizing their importance and prospects in the field.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
(2022)
Article
Chemistry, Physical
Wael A. Altabey et al.
Summary: This study focuses on predicting the acoustic behavior of muffler materials using deep learning algorithms to save time and effort. The model training parameters are optimized using Bayesian genetic algorithms, and the accuracy and reliability of the proposed technique are validated by comparing the results with experimental data.
Review
Energy & Fuels
Areeba Naqvi et al.
Summary: There have been advancements in harnessing electrical energy via piezoelectric materials from fluid flows, and various techniques and mechanisms have been studied. Opportunities and challenges in this field have been identified.
Article
Thermodynamics
Sallam A. Kouritem et al.
Summary: This paper introduces an Automatic Resonance Tuning (ART) technique for broadband energy harvesters, which addresses challenges such as narrow bandwidth and large dimensions. The technique allows the energy harvester to adapt its natural frequencies to ambient vibrations, resulting in a significant increase in bandwidth. The optimized ART harvester demonstrates a broadened bandwidth and a convolutional neural network is used to accurately predict mass positions, achieving high accuracy and regression rates.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Review
Engineering, Mechanical
Abdul Aabid et al.
Summary: Piezoelectric materials, with advantages such as low cost, high service bandwidth, and ease of handling and execution, have been widely used in engineering fields for structural control and health monitoring. Through comprehensive literature research, challenges and opportunities for future work are discussed, providing guidance for researchers interested in applying piezoelectric materials.
Article
Construction & Building Technology
Ahmed Silik et al.
Summary: The study proposed a new framework for selecting the optimal decomposition level (DL) to ensure effective wavelet analysis of time-varying structural responses. Experimental results demonstrated that the optimal DL for El Centro earthquake was 4, and for acceleration data was 6, showcasing the stability and robustness of the proposed method in analyzing contaminated time-varying signals.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Chemistry, Multidisciplinary
Wael A. Altabey et al.
Summary: The study presents a method for automatic crack identification using deep learning algorithm and 3D shadow modeling technology, which effectively diagnoses corrosion cracks in pipelines with high accuracy and efficiency.
APPLIED SCIENCES-BASEL
(2021)
Proceedings Paper
Materials Science, Multidisciplinary
Ved Prakash Sharma et al.
MATERIALS TODAY-PROCEEDINGS
(2018)
