Abstract

We present a general dynamic visualization model named DynaView to construct virtual scenes of structural health monitoring (SHM) process. This model consists of static, dynamic, and interaction submodels. It makes the visualization process dynamic and interactive. By taking an example of a simplified reinforced concrete beam structure model, we obtain raw data through the examination. We conduct the effective general and practicable assessment of structural damage conditions based on fuzzy pattern recognition to compute the assessment results. We construct the DynaView model of the sample structure and visualize it. The instance indicates that DynaView model is efficient and practically applicable.

Highlights

  • The process of damage detection and identification for civil structure is called structural health monitoring SHM

  • We present a dynamic and interactive visualization model named DynaView which consists of static submodel, dynamic submodel, and interactive submodel

  • We preprocess the sampling data and assess the structure health state by using the effective and practicable assessment of structural damage condition based on fuzzy pattern recognition

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Summary

Introduction

The process of damage detection and identification for civil structure is called structural health monitoring SHM. The SHM system analyzes those damage features that are abstracted from those sampling data SHM of large structures has become a leading edge of civil engineering It is very vital for damage condition assessment to judge the structure’s working state and health state with those sampling data. SHM visualization which is one of the most important components of SHM can visualize the sampling data It preprocess the data including abstracting, filtering, and analyzing , assesses the damage state, constructs the visualization model, and completes the visual scene. The dynamic submodel describes those constant changing dimensions or variables during the whole SHM process It is the kernel technology of dynamic visualization modeling. Users can directly perceive and master the instance structure’s health situation through the visual scenes which can promote the safety of the structure

Key Technologies in SHM Visual Modeling
Open Inventor
Dynamic Visual Modeling for SHM
Architecture of SHM System
Structural Assessment Module of SHM System
Framework of Data Visualization Module and Visual Workflow
DynaView
Preprocess the Sampling Data
Assessment of Structural Damage State
Dynamic Visualization of the Experimental Structure
Conclusion
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