Abstract

Since there is not much research on structural health monitoring (SHM) applications in tall buildings nowadays, this paper gives a proposal of how it can be applied on skyscrapers. Covering the whole process of SHM, this paper focuses more on the diagnostic algorithms, including Structural dynamic index method, Modal parameter identification method Neural network algorithm and Genetic algorithm and how these algorithms can be used in SHM. After introducing the basic process of SHM, an example is given to show how these principles can be applied in this over 400m building. And after all these introductions, a conclusion can be drawn that the structural health monitoring system can be applied properly in tall buildings following the way proposed in this paper.

Highlights

  • First applied in aeronautical industry, the structural health monitoring (SHM) technology is widely developed in civil engineering, especially in bridges

  • The study of structural health monitoring in tall buildings is still lack of focus and further attention should be paid in this area

  • A brief description of how these can be applied has been shown in Chengdu Greenland Center: The data like natural frequency are collected using optical fire sensors deployed along the core-tube

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Summary

Introduction

First applied in aeronautical industry, the structural health monitoring (SHM) technology is widely developed in civil engineering, especially in bridges. There are only few researches about tall buildings in structural health monitoring area which is worth concerning. Since there are more and more skyscrapers in the world such as Burj Khalifa and Shanghai tower, it is of great significance to figure out how can the structural health monitoring be applied in these tall buildings. The objective of this paper is to learn from the successful SHM applications in bridges and other areas to find out how SHM can be applied in tall buildings. The whole process of the SHM is discussed briefly, including the sensors, transmitting process and diagnostic algorithm. The diagnostic algorithm is of the most concern. The Chengdu Greenland Center is chosen as the example case and an initial plan for it is proposed

Brief historical overview
Sensing system
Wind load
Structural vibration
Structural dynamic index method
Modal parameter identification method
Neural network algorithm
Example analysis
Genetic algorithm
Damage identification
Conclusion
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