Prsentation on structural health monitoring
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Structural health monitoring (SHM) uses sensors and data analysis techniques to monitor structures for damage or changes over time. The document discusses using an Internet of Things approach for SHM, extracting structural features from sensor measurements. It then defines SHM as monitoring engineering structures over time using sensor data to determine the current health state. The proposed system would recognize earthquake vibrations, detect damage from earthquakes or rain, and reduce power consumption in buildings depending on occupancy. It uses different sensor modules connected wirelessly to monitor vibrations, damage, and power use.
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Structural Health Monitoring
Structural health monitoring (SHM) involves implementing a strategy to detect and characterize damage in engineering structures. It uses sensors to measure responses and detect changes that could indicate damage. The data is processed to extract features and develop statistical models to distinguish between damaged and undamaged structures. SHM is important as it improves safety, allows for timely maintenance, and helps develop better future designs by providing real-world performance data. While sensors cannot directly measure damage, SHM uses the sensor data to provide damage information through feature extraction and analysis.
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Structural health monitoring
The document discusses structural health monitoring (SHM). It begins with an introduction and literature review on SHM. The key components of SHM systems including sensors, data acquisition, management, and interpretation are described. Common SHM methods like visual inspection, ultrasonic testing, and use of smart sensors are explained. Case studies on SHM applications for bridges and railway infrastructure are presented. The document concludes that SHM helps improve structural safety and performance through long-term health monitoring and maintenance.
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This document discusses structural health monitoring (SHM). It defines SHM as monitoring the health of engineering structures to detect damage. The key steps in SHM are data acquisition using sensors, feature extraction from the sensor data, and statistical modeling to detect damage. SHM can be used to enhance structural performance, monitor structures affected by external factors, and improve future designs. Vibration-based SHM techniques analyze changes in frequencies, mode shapes or responses over time. Model-based techniques use finite element models while data-based techniques use statistical models to identify damage from sensor data without physical models. Uncertainties remain in modeling, environmental effects, and non-unique solutions which are areas of ongoing research. Case studies demonstrate using SHM
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Structural health monitoring uses sensors and data collection techniques to monitor structures for damage or changes over time. This improves safety, reliability and reduces costs. The document discusses using P3HT, a conductive polymer, for sensors as it displays electro-chemical sensing abilities. SHM involves identifying critical damage types, data acquisition from sensors, signal processing, and statistical modeling to correlate responses to damage types.
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STRUCTURAL HEALTH MONITORING.pptx
This document discusses structural health monitoring (SHM). It defines SHM as using damage detection techniques to monitor critical structures like bridges and buildings. The purpose of SHM is to enhance performance, monitor structures affected by external factors, and provide feedback to improve future designs. The key steps of SHM involve visual inspections, non-destructive evaluation techniques, and vibration-based monitoring using various sensors. Challenges to SHM include developing reliable wireless sensor networks and smart control units to efficiently monitor large structures over long periods.
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This document discusses structural health monitoring (SHM). It defines SHM as monitoring the health of engineering structures to detect damage. The key steps in SHM are data acquisition using sensors, feature extraction from the sensor data, and statistical modeling to detect damage. SHM can be used to enhance structural performance, monitor structures affected by external factors, and improve future designs. Vibration-based SHM techniques analyze changes in frequencies, mode shapes or responses over time. Model-based techniques use finite element models while data-based techniques use statistical models to identify damage from sensor data without physical models. Uncertainties remain in modeling, environmental effects, and non-unique solutions which are areas of ongoing research. Case studies demonstrate using SHM
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This document discusses structural health monitoring (SHM). It defines SHM as using damage detection techniques to monitor critical structures like bridges and buildings. The purpose of SHM is to enhance performance, monitor structures affected by external factors, and provide feedback to improve future designs. The key steps of SHM involve visual inspections, non-destructive evaluation techniques, and vibration-based monitoring using various sensors. Challenges to SHM include developing reliable wireless sensor networks and smart control units to efficiently monitor large structures over long periods.
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SHM systems for civil infrastructure have two broad purposes and
neither is about damage detection:
For diagnosis, to:
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• Check novel systems of construction/structural forms
• Validate structural modifications & mitigation measures
• Track structural loads/overloads/extreme responses
• Evaluate ’servicability’ –e.g. user comfort/safety
• Provide a feedback loop to design and loading codes
For prognosis
• Assess structural safety after trauma (e.g. earthquake/impact/bridge scour)
• Track long term degradation to aid maintenance decisions
• Detect ’damage’? –In rare cases outside lab and simulation: please tell me!
• Provide warning of impending failure? (and then bury the incident)
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Structural Health Monitoring: The paradigm and the benefits shown in some mon...
SHM systems for civil infrastructure have two broad purposes and
neither is about damage detection:
For diagnosis, to:
• Prove structural fitness for purpose
• Check novel systems of construction/structural forms
• Validate structural modifications & mitigation measures
• Track structural loads/overloads/extreme responses
• Evaluate ’servicability’ –e.g. user comfort/safety
• Provide a feedback loop to design and loading codes
For prognosis
• Assess structural safety after trauma (e.g. earthquake/impact/bridge scour)
• Track long term degradation to aid maintenance decisions
• Detect ’damage’? –In rare cases outside lab and simulation: please tell me!
• Provide warning of impending failure? (and then bury the incident)
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South East Asia including Myanmar is situated in secondary seismic belt. Therefore, it is necessary to pay special attention of the
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used the special RC moment resisting frame. It belongs to seismic zone 4. This is why, seismic forces are essentially considered in the analysis
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analysis. In dynamic analysis; Response Spectrum method is used. In this project, study of 14 storey building is presented with some
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moment .
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Wireless sensor networks consist of hundreds or thousands of sensor nodes that are distributed to monitor various environmental conditions through sensing, processing, and communicating with each other and a base station. These sensor nodes have limitations in terms of power, memory, and processing capabilities compared to other networks. Wireless sensor networks have a wide range of applications including military surveillance, environmental monitoring, smart homes/buildings, and healthcare.
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Smart concrete is concrete that functions as a sensor through the use of admixtures that make the concrete piezoresistive. The addition of discontinuous carbon fibers allows the concrete to reversibly change electrical resistance based on strain or stress. This innovation replaces the need for embedded sensors by making the concrete itself the sensor. It was invented in 1993 by Professor Deborah Chung at the University at Buffalo.
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This document discusses the effects of salt water on concrete and provides recommendations for designing concrete that will be exposed to seawater. It notes that seawater contains salts that can deteriorate concrete through processes like sulfate attack, lime leaching, alkali-aggregate expansion, and corrosion of reinforcing steel. It recommends using low permeability concrete to limit these effects, and controlling key parameters like water-cement ratio, cement type, use of air-entraining agents, and concrete cover over reinforcing steel. The document provides tables with guidelines on these parameters and recommends repair methods that involve removing deteriorated concrete, cleaning reinforcing steel, and applying a protective barrier between the concrete and salt water.
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Prsentation on structural health monitoring
- 1. LAKSHMI K N MONIKA N
- 2. “SHM”-STRUCTURAL HEALTH MONITORING INTRODUCTION: (IOT- delivering secure connected solutions for smarter world) IOT has provided a promising choice for stuctural health monitoring recently. In vibration based SHM, structural features are extracted from periodically spaced measurement using sensors.
- 3. DEFINITION OF SHM: The process of implementing a damage detection and characterization strategy for engineering stucturesnis called SHM. SHM process involves observation of system over time using periodically sampled dynamic response measurements from an array of sensors. Sensitive features from these measurements the current state of system health is determined.
- 4. SHM is the implementation of improving the maintainence of any structures like buildings and bridges. It encompasses damage detection, identification and prevention of structures from natural disasters like earth quake and rain. MODULES: MODULE 1: recognizing and altering of abnormal vibration of the building due to an earthquake. Consists of two types of sensors to predict the abnormal vibration induce by an earthquake.
- 5. 2nd MODULE: Prediction of damage in the building after an earthquake or heavy rains. damage detection includes identification of crack and the moisture content in wall bricks in real time building 3rd MODULE: presents smart auditorium which is used to reduce the power consumption. Depending on the number of audience inside an audiotorium it can control the electric appliances like fans,lights and speakers etc..
- 6. Synchr onous modul e Wirel ess modu le Outpu ut modul e Vibration detection Damage detection Power consumptio S c m c Sensing module Acquisitio n module Conceptual block diagram Sc-signal conditioning Mc-micro controller
- 7. System overview: In wireless system there is no need to use batteries for power management. Each unit has its own power module It is needed to convert the voltage into various levels to supply all the modules Power unit should be integrated with the sensing module. Each sensor in the sensing module receives the fixed current. Sensing module consists of different types of sensors to measure different parts that are affecting the health structures.
- 8. 3rd module shows how power consumption is reduced. OUTPUT MODULE: Includes zigbee module and output is displayed through pc.
- 9. Sensing module: acquires the signal from environment and it will send to the acquisition module it involves vibration analysis, damage detection, and power consumption. vibration detection module : to predict the start of an earthquake Damage detection method : identifies damage caused by an earthquake or any other external load. uses two sensors: Crack sensors Moisture sensors