Excessive torsional effects can seriously affect the safety and service life of high-rise buildings. Therefore, evaluating the torsional effect of in-service high-rise buildings is a necessary step to ensure their safety performance. This paper presents a method for evaluating the torsional safety performance of in-service high-rise buildings based on the measured torsional displacement ratio. First, the calculation formula for the torsional displacement ratio is derived, and key factors affecting the torsional displacement ratio of in-service buildings are analyzed. Next, the relationship between actual service conditions and design assumptions is considered to determine the mean and variance of these factors. Subsequently, a Latin hypercube sampling method is employed, assuming a normal distribution, to calculate the torsional displacement ratios of the samples and fit them to obtain the probability density function and cumulative distribution function. Finally, the torsional safety levels of in-service high-rise buildings are classified based on the cumulative distribution function. This method aims to provide a more intuitive, accurate, and reliable evaluation of the torsional safety performance of structures, ensuring their safety during service. Finally, taking the 17th floor of an actual high-rise building as an example, a method for evaluating its torsional performance based on the measured torsional displacement ratio is illustrated.

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Evaluation Method for Torsional Performance of In-Service High-Rise Buildings Based on Measured Torsional Displacement Ratio

  • Jiayi Zheng,
  • Wei Lu,
  • Weihua Hu,
  • Jun Teng

摘要

Excessive torsional effects can seriously affect the safety and service life of high-rise buildings. Therefore, evaluating the torsional effect of in-service high-rise buildings is a necessary step to ensure their safety performance. This paper presents a method for evaluating the torsional safety performance of in-service high-rise buildings based on the measured torsional displacement ratio. First, the calculation formula for the torsional displacement ratio is derived, and key factors affecting the torsional displacement ratio of in-service buildings are analyzed. Next, the relationship between actual service conditions and design assumptions is considered to determine the mean and variance of these factors. Subsequently, a Latin hypercube sampling method is employed, assuming a normal distribution, to calculate the torsional displacement ratios of the samples and fit them to obtain the probability density function and cumulative distribution function. Finally, the torsional safety levels of in-service high-rise buildings are classified based on the cumulative distribution function. This method aims to provide a more intuitive, accurate, and reliable evaluation of the torsional safety performance of structures, ensuring their safety during service. Finally, taking the 17th floor of an actual high-rise building as an example, a method for evaluating its torsional performance based on the measured torsional displacement ratio is illustrated.