Monitoring and Simulation of Axial Deformation in a High-Rise Twin Tower Connected Building: Fractional Order Viscoelasticity Constitutive Method

This paper investigated the influence of axial deformation on the structural behavior of a high-rise twin tower connected building during its construction. A comprehensive structural health monitoring (SHM) system was deployed, featuring embedded strain sensors within specific vertical members. The SHM system collected strain data throughout the entire construction process, facilitating a detailed analysis of axial deformation progression and variations among vertical components such as walls and columns. Through methodical simplifications and theoretical assumptions, a calculation framework employing concrete shrinkage and creep models was proposed to quantify axial deformation. A comparative analysis was conducted between the calculation results of various models and the measured data, revealing significant discrepancies in the predictions of existing models. Additionally, it was observed that many parameters in these models are challenging to obtain during the design and construction stage. Subsequently, this study introduces a novel time-varying constitutive model based on fractional calculus viscoelasticity to address complexities in existing models and parameter acquisition challenges. The model is characterized by its clear physical interpretation and concise computational parameters, calibrated utilizing measured strain data and Bayesian optimization methods, which significantly enhances prediction accuracy and simplifies the calculation process.

Authors

Institutions

Publication Details

Journal
Journal of Structural Engineering
Published
2025-02-28
DOI
https://doi.org/10.1061/jsendh.steng-13973
Citations
1
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monitoring and Simulation of Axial Deformation in a High-Rise Twin Tower Connected Building: Fractional Order Viscoelasticity Constitutive Method

Yun Zhou, Hui He, Xianming Luo, Wenjie Zhang et al.
1 citations
Journal of Structural Engineering
Structural Health Monitoring Techniques
0.95
article

Monitoring and Simulation of Axial Deformation in a High-Rise Twin Tower Connected Building: Fractional Order Viscoelasticity Constitutive Method

Yun Zhou, Hui He, Xianming Luo, Wenjie Zhang, Xiaofeng Zhou
article en
1 citations

Abstract

This paper investigated the influence of axial deformation on the structural behavior of a high-rise twin tower connected building during its construction. A comprehensive structural health monitoring (SHM) system was deployed, featuring embedded strain sensors within specific vertical members. The SHM system collected strain data throughout the entire construction process, facilitating a detailed analysis of axial deformation progression and variations among vertical components such as walls and columns. Through methodical simplifications and theoretical assumptions, a calculation framework employing concrete shrinkage and creep models was proposed to quantify axial deformation. A comparative analysis was conducted between the calculation results of various models and the measured data, revealing significant discrepancies in the predictions of existing models. Additionally, it was observed that many parameters in these models are challenging to obtain during the design and construction stage. Subsequently, this study introduces a novel time-varying constitutive model based on fractional calculus viscoelasticity to address complexities in existing models and parameter acquisition challenges. The model is characterized by its clear physical interpretation and concise computational parameters, calibrated utilizing measured strain data and Bayesian optimization methods, which significantly enhances prediction accuracy and simplifies the calculation process.

Journal of Structural EngineeringVol. 151(5)
Hunan University (CN), Hunan Institute of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 28%
Structural Health Monitoring Techniques
0.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.