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Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

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Published on: April 11, 2018

A strain-based load identification model for beams in building structures.

Kappyo Hong¹, Jihoon Lee, Se Woon Choi

¹Department of Architectural Engineering, Yonsei University, Seoul, Korea. kappyo@yonsei.ac.kr

Sensors (Basel, Switzerland)

|August 8, 2013

Summary

This study presents a novel strain-based model for identifying multiple loads on beam structures using fiber Bragg grating (FBG) sensors. The model accurately estimates applied loads, demonstrating its effectiveness in structural health monitoring.

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Area of Science:

Structural Engineering
Mechanical Engineering
Materials Science

Background:

Accurate load identification is crucial for structural health monitoring and safety.
Existing methods often depend on sensor placement or have limitations in handling multiple loads.
Fiber Bragg grating (FBG) sensors offer advantages for strain measurement due to their multiplexing capabilities and immunity to electromagnetic interference.

Purpose of the Study:

To develop and validate a strain-based load identification model for beam structures subjected to multiple loads.
To utilize longitudinal strains measured by multiplexed FBG strain sensors for load identification.
To create a model that is independent of the specific locations of FBG sensors.

Main Methods:

A strain-based load identification model was formulated, defining the contribution of each load to measured strains.
Longitudinal strains from multiplexed FBG strain sensors were employed.
A general strain sensing model was developed by superimposing strain distribution shapes from multiple loads.
Numerical simulations and experimental validation on a 4 m steel beam with two concentrated loads were conducted.

Main Results:

Numerical simulations verified the accuracy of the proposed load identification model.
Experimental results showed good agreement between the estimated loads and the actual applied loads.
The model successfully identified two concentrated loads applied to a steel beam using FBG sensors and electrical strain gages (ESGs).

Conclusions:

The developed strain-based load identification model is effective for beam structures under multiple loading conditions.
The model's independence from specific sensor locations enhances its practical applicability.
This approach provides a reliable method for structural health monitoring and load assessment.