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- Keyword
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- Aging of fiber-reinforced polymer composites (1)
- Lidar (1)
- Localized muscle fatigue (1)
- Musculoskeletal disorders (1)
- Rational methods of life predictions (1)
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- Reliability-based design guidelines development (1)
- Shoulder (1)
- Shoulder muscles (1)
- Stationary fatigue (1)
- Strength-reduction factors and factors of safety (1)
- Surface electromyography (1)
- Sustained stresses and environmental effects (1)
- Unmanned Aerial Systems (UAS) (1)
- Utility Vegetation Management (UVM) (1)
Articles 1 - 4 of 4
Full-Text Articles in Engineering
Analysis Of Factors Influencing The Stationarity Of Surface Electromyography Signals Measured In Non-Fatigued Shoulder Muscles, Hui Ci
Graduate Theses, Dissertations, and Problem Reports
A reduction in the % stationarity of surface electromyography (SEMG) signals with respect to the initial or fresh condition is used to predict localized muscle fatigue. However, factors other than muscle fatigue can also influence the stationarity of SEMG signals. This study was aimed at analyzing the effect of various work/task related factors on the stationarity of SEMG signals obtained from non-fatigued shoulder muscles. Twelve participants were recruited for data collection and each one performed 120 trials characterized by the combination of 2 shoulder angles (60° and 120°), 2 planes of exertions (sagittal and scapular), 3 force levels (0lb, 2.5lb, …
Assessment Of Unmanned Aerial Systems And Lidar For The Utility Vegetation Management Of Electrical Distribution Rights-Of-Ways, Matthew R. Walker
Assessment Of Unmanned Aerial Systems And Lidar For The Utility Vegetation Management Of Electrical Distribution Rights-Of-Ways, Matthew R. Walker
Graduate Theses, Dissertations, and Problem Reports
Utility Vegetation Management (UVM) is often the largest maintenance expense for many utilities. However, with advances in Unmanned Aerial Systems (UAS; or more commonly, “drones”) and lidar technologies, vegetation managers may be able to more rapidly and accurately identify vegetation threats to critical infrastructures. The goal of this study was to assess the utility of Geodetics’ UAS-lidar system for vegetation threat assessment for 1.6 km of a distribution electric circuit. We investigated factors which contribute to accurate tree crown detection and segmentation of trees from within an UAS-lidar derived point cloud, and the factors which contribute to accurate tree risk …
Time-Dependent Reliability Framework For Durability Design Of Frp Composites, Rajneesh Kumar Bharil
Time-Dependent Reliability Framework For Durability Design Of Frp Composites, Rajneesh Kumar Bharil
Graduate Theses, Dissertations, and Problem Reports
The life-cycle performance, durability, and aging characteristics of Fiber Reinforced Polymer (FRP or Structural Composites) have been of keen interest to the engineers engaged in the FRP design, construction, and manufacturing. Unlike conventional construction materials such as steel and concrete, the design guidelines to account for the aging of FRP are somewhat scattered or not available in an approved or consistent format. Loss of strength over time or aging of any structural material should be of concern to engineers as the in-service lifespan of many engineering structures is expected to exceed 100 years. Use of durability strength-reduction factors or factors …
Implications Of Variability Of Electromyographic Measurements For Assessing Localized Muscle Fatigue, Hamad Nasser Alasim
Implications Of Variability Of Electromyographic Measurements For Assessing Localized Muscle Fatigue, Hamad Nasser Alasim
Graduate Theses, Dissertations, and Problem Reports
The impact of work-related musculoskeletal disorders (WMSDs) is enormous due to a combination of direct and indirect costs associated with healthcare, lost workdays and human suffering. Because of the established relationship between Localized Muscle Fatigue (LMF) development and WMSDs, and in order to reduce and/or prevent WMSDs in workplaces, different fatigue assessment methods have been developed. Surface Electromyography (SEMG) is a commonly used LMF assessment technique. The SEMG signals are typically analyzed in time and frequency domains to predict LMF based on a relative change with respect to initial, or under no-fatigue conditions. Quantifying such change, however, relies on the …