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Full-Text Articles in Engineering
Development Of A Self-Powered Weigh-In-Motion System, Athanassios Papagiannakis, Athanassios Papagiannakis, Samer Dessouky, Sara Ahmed, Reza Khalili, Gopal Vishwakarma
Development Of A Self-Powered Weigh-In-Motion System, Athanassios Papagiannakis, Athanassios Papagiannakis, Samer Dessouky, Sara Ahmed, Reza Khalili, Gopal Vishwakarma
Data
This report describes the development of a novel weigh-in-motion (WIM) system that utilizes piezoelectric elements for sensing load and powering an ultra-low power microcontroller unit (MCU) that serves as its data acquisition system. A system of 4 piezoelectric (PZT) stacks serves as the energy harvester, while load sensing is done via a set of 4 PZT elements connected in parallel. Two alternative MCUs were considered, with various data handling capabilities and power consumption requirements. These MCUs have very short “wake-up” times allowing vehicle sensing without the need for inductive loops commonly used in conventional WIM systems. Special electric circuits were …
Development Of A Self-Powered Weigh-In-Motion System, Athanassios Papagiannakis, Sarah Ahmed, Samer Dessouky, Reza Khalili, Gopal Vishwakarma
Development Of A Self-Powered Weigh-In-Motion System, Athanassios Papagiannakis, Sarah Ahmed, Samer Dessouky, Reza Khalili, Gopal Vishwakarma
Publications
This report describes the development of a novel weigh-in-motion (WIM) system that utilizes piezoelectric elements for sensing load and powering an ultra-low power microcontroller unit (MCU) that serves as its data acquisition system. A system of 4 piezoelectric (PZT) stacks serves as the energy harvester, while load sensing is done via a set of 4 PZT elements connected in parallel. Two alternative MCUs were considered, with various data handling capabilities and power consumption requirements. These MCUs have very short “wake-up” times allowing vehicle sensing without the need for inductive loops commonly used in conventional WIM systems. Special electric circuits were …
Data-Driven And Model-Based Methods With Physics-Guided Machine Learning For Damage Identification, Zhiming Zhang
Data-Driven And Model-Based Methods With Physics-Guided Machine Learning For Damage Identification, Zhiming Zhang
LSU Doctoral Dissertations
Structural health monitoring (SHM) has been widely used for structural damage diagnosis and prognosis of a wide range of civil, mechanical, and aerospace structures. SHM methods are generally divided into two categories: (1) model-based methods; (2) data-driven methods. Compared with data-driven SHM, model-based methods provide an updated physics-based numerical model that can be used for damage prognosis when long-term data is available. However, the performance of model-based methods is susceptible to modeling error in establishing the numerical model, which is usually unavoidable due to model simplification and omission. The major challenge of data-driven SHM methods lies in data insufficiency, e.g., …
Bridge Rating Based On In-Situ Weigh-In-Motion And Health Monitoring Data, Dana Feng
Bridge Rating Based On In-Situ Weigh-In-Motion And Health Monitoring Data, Dana Feng
LSU Doctoral Dissertations
Parallel to the bridge design methodology changes from the Allowable Stress Design to the Load Factor Design, and then to the reliability based Load and Resistance Factor Design (LRFD), bridge load rating method has also been evolving. Applying the reliability theory to the bridge load rating is more complex than applying to the LRFD since any conservatism can have a significant effect on the assessment of bridge capacity, particularly in load posting and bridge replacement. Although the current Load and Resistant Factor Rating (LRFR) method applying the concept of reliability analyses, it uses very limited site-specific data due to practical …
Development Of An Ultrasonic Nde&T Tool For Yield Detection In Steel Structures, Yilmaz Bingol
Development Of An Ultrasonic Nde&T Tool For Yield Detection In Steel Structures, Yilmaz Bingol
LSU Doctoral Dissertations
Nondestructive Evaluation and Testing (NDE&T) is a commonly used and rapidly growing field that offers successful solutions for health assessment of structures. NDE&T methods have gained increasing attention in the last few decades especially with the contribution of the advancements in computer and instrumentation technologies. The applications of numerous NDE&T methods in civil engineering mostly focus on material characterization and defect detection. Techniques for nondestructively identifying the stress state in materials, on the other hand, mostly rely on the Theory of Acoustoelasticity. However, the sensitivity and the accuracy of acoustoelasticity are affected by several factors such as the microstructure of …