scholarly journals Long-term strategy for the statistical design of a forest health monitoring system

1993 ◽  
Vol 27 (2) ◽  
pp. 81-94 ◽  
Author(s):  
Hans T. Schreuder ◽  
Raymond L. Czaplewski
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Forest Health ◽  
Statistical Design ◽  
Health Monitoring System ◽  
Forest Health Monitoring

scholarly journals Structural Health Monitoring System Based on FBG Sensing Technique for Chinese Ancient Timber Buildings

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 110 ◽  
Author(s):  
Shao-Fei Jiang ◽  
Ze-Hui Qiao ◽  
Ni-Lei Li ◽  
Jian-Bin Luo ◽  
Sheng Shen ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Structural Deformation ◽  
Beam Deflection ◽  
Health State ◽  
Health Monitoring System ◽  
Structural Health ◽  
Structural Health Monitoring System

Due to the long-term service, Chinese ancient timber buildings show varying degrees of wear. Thus, structural health monitoring (SHM) for these cultural and historical treasures is desperately needed to evaluate the service status. Although there are some FBG sensing-based SHM systems, they are not suitable for Chinese ancient timber buildings due to the differences in architectural types, structural loads, materials, and environment. Besides, a technical gap in Fiber Bragg grating (FBG) sensing-based column inclination monitoring exists. To overcome these weaknesses, this paper develops an FBG sensing-based structural health monitoring system for Chinese ancient Chuan-dou-type timber buildings that aims at monitoring structural deformation, i.e., beam deflection and column inclination, temperature, humidity, and fire around the building. An in-situ test and simulation analyses were conducted to verify the effectiveness of the developed SHM system. To validate the long-term-operation of the developed SHM system, monitoring data within 15 months were analyzed. The results show good agreement between the developed SHM system in this paper and other methods. In addition, the SHM system operated well in the first year after its deployment. This implies that the developed SHM system is applicable and effective in the health state monitoring of Chinese ancient Chuan-dou-type timber buildings, laying a foundation for damage prognosis of such types of timber buildings.

Probabilistic corrosion fatigue life assessment of a suspension bridge instrumented with long-term structural health monitoring system

2017 ◽  
Vol 20 (5) ◽  
pp. 674-681 ◽  
Author(s):  
XW Ye ◽  
T Liu ◽  
YQ Ni
Keyword(s):  
Fatigue Life ◽  
Structural Health Monitoring ◽  
Monitoring System ◽  
Corrosion Fatigue ◽  
Health Monitoring ◽  
Welded Joint ◽  
Health Monitoring System ◽  
Structural Health ◽  
Structural Health Monitoring System

The long-term performance of engineering structures in a corrosive environment will be significantly affected by the coupled action of corrosion and fatigue. In this article, a probabilistic corrosion fatigue analytical model is proposed by taking into account the effects of corrosion-induced reduction of the cross-sectional area and deterioration of the fatigue strength of structural components. The proposed model is exemplified to evaluate the probabilistic corrosion fatigue life of a typical welded joint in the suspension Tsing Ma Bridge instrumented with a long-term structural health monitoring system. A genetic algorithm–based mixture parameter estimation method is developed to facilitate the multimodal modeling of stress spectrum derived from the long-term monitoring data of dynamic strain. The achieved results demonstrate that with the increase in the service life, the reliability index of the investigated typical welded joint is dramatically reduced under the combined effect of corrosion and fatigue.

Computer Aided Health Monitoring System for Super-Huge Spacial Cable Structures

2010 ◽  
Vol 163-167 ◽  
pp. 2824-2829
Author(s):  
Qi Lin Zhang ◽  
Da Lin Li
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Design Method ◽  
Complex Structures ◽  
Health Monitoring System ◽  
Analysis Theory ◽  
Computer Based ◽  
Roof Design ◽  
Relative Analysis

Increasingly large and complex structures make it more complicated in analysis, designing and construction, and through the amplification effect caused by the interaction of various parts of the structure, any tiny error in any link could cause huge damage to the building. However, the relative analysis theory and design method are not consummate enough to assess the influence of all kinds of errors. Under this circumstance, structural health monitoring system is an important guarantee to ensure the safety of the structures in both construction and operation stage, and at the same time contributes to make up for the deficiency of theory [1-2]. The Expo Axis project is the largest single project in Expo Site 2010 Shanghai. The Expo Axis project has adopted a whole new architecture form. The roof design as giant light cable-membrane structure about 1000 meter long and about 80 meter width. The computing displacement of the membrane roof is close to 4m. In order to ensure the safety of this structure, a real-time and long-term computer based health monitoring system is applied in the Axis structures.

scholarly journals Designing a Structural Health Monitoring System Accounting for Temperature Compensation

2021 ◽  
Vol 7 (1) ◽  
pp. 5
Author(s):  
Valeria Francesca Caspani ◽  
Daniel Tonelli ◽  
Francesca Poli ◽  
Daniele Zonta
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Temperature Compensation ◽  
A Posteriori ◽  
Health Monitoring System ◽  
Structural Health ◽  
Condition State ◽  
Term Response

Structural health monitoring is effective if it allows us to identify the condition state of a structure with an appropriate level of confidence. The estimation of the uncertainty of the condition state is relatively straightforward a posteriori, i.e., when monitoring data are available. However, monitoring observations are not available when designing a monitoring system; therefore, the expected uncertainty must be estimated beforehand. This paper proposes a framework to evaluate the effectiveness of a monitoring system accounting for temperature compensation. This method is applied to the design process of a structural health monitoring system for civil infrastructure. In particular, the focus is on the condition-state parameters representing the structural long-term response trend, e.g., due to creep and shrinkage effects, and the tension losses in prestressed concrete bridges. The result is a simple-to-use equation that estimates the expected uncertainty of a long-term response trend of temperature-compensated response measurements in the design phase. The equation shows that the condition-state uncertainty is affected by the measurement and model uncertainties, the start date and duration of the monitoring activity, and the sampling frequency. We validated our approach on a real-life case study: the Colle Isarco viaduct. We verified whether the pre-posterior estimation of expected uncertainty, performed with the experimented approach, is consistent with the real uncertainty estimated a posteriori based on the monitoring data.

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