A Quantitative Super‐Sensitivity Photogrammetry Method for Interstory Drift Measurements of Buildings Under Seismic Excitation

ABSTRACT Interstory drift is a fundamental parameter in earthquake engineering to characterize damage states and performance levels of buildings. Defined as the relative displacement between adjacent floors, it is nearly impossible to measure directly in practice and must be derived from absolute displacement measurements. Among various displacement measurement techniques, photogrammetry has emerged as a prominent method for displacement and drift measurements owing to its full‐field, noncontact incoherent optical characteristics. However, the sensitivity of the existing photogrammetry method is significantly lower than required by precise drift measurements due to the following: (1) much smaller drift magnitudes than displacement itself, requiring higher measurement precision; and (2) quantization‐limited low sensitivity of photogrammetry, especially under large meters per pixel (MPP) conditions in field applications. In this work, we address quantitatively the challenge of precise interstory drift measurement under seismic excitation by exceeding the theoretical sensitivity limit inherent in photogrammetry. Specifically, we leverage the recent advances in breaking the theoretical measurement sensitivity limit in photogrammetry, and adapt a super‐sensitivity photogrammetry method for precise interstory drift measurements. Furthermore, we derive a mathematical model based on rigorous uncertainty propagation theory, for the first time, to quantify the achievable photogrammetry sensitivity for interstory drift, as ; it reveals not only the quantitative relation between the achievable interstory drift measurement sensitivity and that of the displacement , but also the parametric dependence on the key factors: the number of effective spatial pixels , the imaging noise level , the effective rank of the dominant modes , the digital camera bit depth B , and the MPP. Extensive numerical simulations and laboratory shake table tests on a building structure model under representative seismic excitation are conducted and discussed. The results indicate that the adopted method achieves super‐sensitivity interstory drift measurements, which even approach the performance of the coherent laser displacement sensors as the number of effective pixels increases; in addition, observations on the tests are found to be consistent, quantitatively, with the derived mathematical model. This work provides a quantitative super‐sensitivity photogrammetry method for interstory drift measurements.

Authors

Institutions

Publication Details

Journal
Earthquake Engineering & Structural Dynamics
Published
2025-11-28
DOI
https://doi.org/10.1002/eqe.70099
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Quantitative Super‐Sensitivity Photogrammetry Method for Interstory Drift Measurements of Buildings Under Seismic Excitation

Yongchao Yang, Shanwu Li, Guojian Cui
Earthquake Engineering & Structural Dynamics
3D Surveying and Cultural Heritage
article

A Quantitative Super‐Sensitivity Photogrammetry Method for Interstory Drift Measurements of Buildings Under Seismic Excitation

Yongchao Yang, Shanwu Li, Guojian Cui
article en

Abstract

ABSTRACT Interstory drift is a fundamental parameter in earthquake engineering to characterize damage states and performance levels of buildings. Defined as the relative displacement between adjacent floors, it is nearly impossible to measure directly in practice and must be derived from absolute displacement measurements. Among various displacement measurement techniques, photogrammetry has emerged as a prominent method for displacement and drift measurements owing to its full‐field, noncontact incoherent optical characteristics. However, the sensitivity of the existing photogrammetry method is significantly lower than required by precise drift measurements due to the following: (1) much smaller drift magnitudes than displacement itself, requiring higher measurement precision; and (2) quantization‐limited low sensitivity of photogrammetry, especially under large meters per pixel (MPP) conditions in field applications. In this work, we address quantitatively the challenge of precise interstory drift measurement under seismic excitation by exceeding the theoretical sensitivity limit inherent in photogrammetry. Specifically, we leverage the recent advances in breaking the theoretical measurement sensitivity limit in photogrammetry, and adapt a super‐sensitivity photogrammetry method for precise interstory drift measurements. Furthermore, we derive a mathematical model based on rigorous uncertainty propagation theory, for the first time, to quantify the achievable photogrammetry sensitivity for interstory drift, as ; it reveals not only the quantitative relation between the achievable interstory drift measurement sensitivity and that of the displacement , but also the parametric dependence on the key factors: the number of effective spatial pixels , the imaging noise level , the effective rank of the dominant modes , the digital camera bit depth B , and the MPP. Extensive numerical simulations and laboratory shake table tests on a building structure model under representative seismic excitation are conducted and discussed. The results indicate that the adopted method achieves super‐sensitivity interstory drift measurements, which even approach the performance of the coherent laser displacement sensors as the number of effective pixels increases; in addition, observations on the tests are found to be consistent, quantitatively, with the derived mathematical model. This work provides a quantitative super‐sensitivity photogrammetry method for interstory drift measurements.

Earthquake Engineering & Structural DynamicsVol. 55(3)
Harbin Institute of Technology (CN), Ningbo Institute of Industrial Technology (CN)
Openalex Percentile: Top 52%
3D Surveying and Cultural Heritage
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.