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63 articles for “Structural Health Monitoring System”
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A Review on Advancement in Sensor Technology in Structural Health Monitoring System
Abstract: Structural health monitoring (SHM) has been in existence for a century but gained attention in near past for the diagnostics and safe use of the structures. Different types of civil structures we use every day like bridges tunnels pipelines and proper monitoring is required for these structures for the long life of them. Lessons learns from the past failure of structures invented the need of structural health monitoring in the …
Published in Journal of Structural Engineering and Management · Vol. 2, Issue 3, 2015 · pp. 1–7 Read article
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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
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IoT and Smart Sensors for Structural Health Monitoring: Trends, Challenges, and Future Directions
Abstract: Structural Health Monitoring (SHM) plays a critical role in ensuring the safety, resilience, and sustainability of civil infrastructure systems. In recent years, the convergence of Internet of Things (IoT) technologies and smart sensor systems has revolutionized the field of SHM. This integration enables continuous, real- time monitoring, facilitates predictive maintenance, and reduces the costs associated with structural inspections. IoT-based SHM frameworks leverage wireless sensor networks, cloud computing platforms, and intelligent …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
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Comprehensive Review of Composite Materials: Classification, Manufacturing Methods, Mechanical Behavior, Failure Modes, and Emerging Applications
Abstract: Composite materials have emerged as one of the most significant classes of engineered materials due to their ability to deliver high strength to weight ratios, enhanced durability, and tailored multifunctionality. Over the past two decades, rapid progress in polymer chemistry, advanced reinforcement architectures, additive manufacturing, and automated fabrication has expanded the applicability of composites across aerospace, automotive, biomedical, civil, and renewable energy sectors. This paper provides a comprehensive review of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 923–939 Read article
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Development of Microstrip Patch Antenna Design for Medical Application: A Survey
Abstract: In early days breast cancer detection is of crucial importance. Microstrip patch antenna, due to its small size, light weight, low profile, and low manufacturing cost, is finding increasing applications in the medical industry. In this survey paper we have discussed briefly some of the antenna’s technical specification and details of its applications in different medical areas. Mainly they are Breast cancer tumor detection, Hyperthermia, Hearing Aid, and Pacemaker for …
Published in Journal of Electronic Design Technology · Vol. 3, Issue 1-3, 2012 · pp. 40–48 Read article
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Conductive Polymers for Electro-Mechanical Systems: Structure–Property Relationships and Mechanical Behavior Under Stress
Abstract: Conductive polymers represent a unique class of functional materials that combine the electrical characteristics of metals with the mechanical flexibility of polymers. These dual properties are critical for the next generation of electro-mechanical systems, including wearable sensors, soft robotics, structural health monitoring (SHM), and biomedical actuators. However, the mechanical performance of conductive polymers under diverse stress conditions—such as elongation, cyclic loading, bending, and impact—remains a key challenge, limiting their long-term …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 25–30 Read article
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Optimal Sensor Placement in Structures Using Improved Adaptive Genetic Algorithm with Modified Modal Assurance Criteria for SHM Systems
Abstract: With the growth of advanced constructive engineering technology, more and more large-scale structures, such as buildings, towers, wharfs, and so many other structures have been built all over the world. Due to uncontrolled environment, these civil infrastructures may be damaged severely by the natural disasters and the man made changes around the environment. To avoid this, monitoring of structure is necessary and it is done with the help of structural …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 1, 2016 · pp. 30–37 Read article
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AI-Assisted Defect Detection in Polymer Composite Insulators Using an Optimised Ensemble Deep Learning Framework for Structural Health Monitoring
Abstract: Polymer composite insulators, particularly those made from silicone rubber and epoxy resins, are increasingly adopted in high-voltage transmission systems due to their superior electrical insulation, lightweight design, hydrophobicity, and environmental durability. Despite their advantages, these materials are susceptible to surface degradation, mechanical cracking, and flashover under prolonged exposure to environmental pollutants, thermal stress, and electrical aging. Accurate, real-time condition assessment of these composite insulators is critical for ensuring operational safety, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 253–261 Read article
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Multipoint Deflection Analysis using Non-Contact Image-Based System
Abstract: Abstract: In this paper, the experimental study proposes a non‐contact image‐based system for multipoint deflection measurement through image processing based on a low‐cost consumer‐grade camera. Deflection monitoring is one alternative method that can become the indicators of bridge feasibility since this method is easy, effective, and can be used for multi-temporal application. The objective of this study is to determine the deflection of simply supported beam of span 1.2 m …
Published in Recent Trends in Sensor Research & Technology · Vol. 6, Issue 1, 2019 · pp. 13–17 Read article
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A Study on the Use of AI and Sensors in Aerospace
Abstract: The synergistic combination of modern sensors including artificial intelligence (AI) has significantly changed the aeronautics industry's ongoing quest for increased safety, efficiency, and autonomy. The examination of the critical role these technologies play throughout the whole aerospace lifecycle from design and production to flight operations and maintenance is examined in this research. The eyes and ears of contemporary aircraft, sensors give an unparalleled amount and quality of real-time data about …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 25–34 Read article
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Deploying Optimal Number of Sensors and Damage Detection in Structural Health Monitoring Using SEM-GA Method
Abstract: Detecting damages is the most important criterion in any engineering creation—be it a machine or a building. Among the engineering creation, civil engineering structures need a continuous monitoring to check their operations, performance and the health status of the structures. Damage detection cannot be done manually every time. Automated systems have to be developed in order to monitor the health of the structure periodically. Hence, structural health monitoring (SHM) aims …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 28–35 Read article
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Design of an Integrated Health Monitoring System on an IoT-Based Framework
Abstract: With the advent of industrialization, health ailments have become a major cause of concern owing to an inactive and fast lifestyle, polluted environments, and detrimental eating habits. However, IoT has become a boon for the health sector and humanity on account of its countless benefits, rendering improved quality of service and patient-centric care. An Integrated Health Monitoring System (IHMS) is presented in this paper. This new IoT-based framework integrates wearable …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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ML-Enhanced Smart Sensing Framework for IoT- Based Structural Health Monitoring Using Conductive Polymer Composites
Abstract: The growing demand for intelligent structural health monitoring (SHM) in dynamic infrastructures necessitates flexible sensing systems that are not only mechanically robust but also capable of real-time interpretation. Conventional SHM frameworks often rely on brittle sensor configurations and cloud-dependent processing pipelines, which suffer from latency, limited durability, and poor adaptability under variable loading conditions. Despite recent advances in composite materials and machine learning, current approaches lack a unified framework that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 348–369 Read article
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Structural Health Monitoring of Polypropylene Fiber- Reinforced Composite Using Accelerometer Sensors
Abstract: This study explores the application of accelerometer sensors for structural health monitoring (SHM) in evaluating the performance of polypropylene fiber-reinforced composites (PFRC). Incorporating polypropylene fibers into concrete enhances its structural integrity and durability. However, accurately assessing PFRC behavior under various conditions is crucial for its practical application in construction. This research employs advanced accelerometer sensor technology for real-time monitoring and assessment of PFRC performance. Experimental investigations captured and analyzed the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 621–634 Read article
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Digital Twin-Driven Structural Health Monitoring and Energy Management of IoT-Enabled Energy-Storing Polymer Composites Using Explainable Machine Learning
Abstract: Energy storing polymer composites are widely utilized in intelligent structural systems, because of their mechanical and electrochemical properties. But, under varying thermo-mechanical and environmental conditions, it is important to have accurate degradation monitoring for real-time industrial process is challenging. In this work, an explainable machine-learning framework for structural health monitoring and adaptive energy management of polymer composites with energy storage capacity is proposed in an IoT environment with the help …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Electrically Conductive Micro-Aluminum Reinforced Polymer Composites for IoT-Enabled Lightweight Antenna Housings
Abstract: Electrically conductive polymer composites have emerged as promising multifunctional materials for lightweight antenna housings by integrating structural strength, electrical conductivity, thermal stability, and electromagnetic interference shielding. In this study, micro-aluminum reinforced Acrylonitrile Butadiene Styrene (ABS) polymer composites were fabricated using twin-screw melt compounding followed by compression molding for IoT-enabled lightweight antenna housing applications. The influence of micro-aluminum loading on microstructure, mechanical performance, electrical conductivity, EMI shielding, thermal stability, and wireless …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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Performance analysis of cross-slotted patch antenna for wireless system applications
Abstract: A C-band cross-slotted microstrip patch antenna for ice and frost detection in wireless sensing applications. The antenna configurations with distinct cross-slot geometries are designed to investigate their influence on impedance matching, radiation characteristics, and sensing sensitivity. The antennas are modeled and analyzed using Ansys HFSS, and their dimensions are optimized using standard microstrip antenna design equations. Ice and frost accumulation on the antenna surface is identified through measurable shifts in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 35–50 Read article
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 Read article