Structural Identification of a 90 m High Minaret of a Landmark Structure under Ambient Vibrations

Abstract

This paper presents the operational modal analysis of a 90-m-high RC minaret of an iconic mosque considered as a landmark of the city. The minaret was monitored for three days with 11 tri-axial MEMS accelerometers. The purpose of the study was to observe the behavior, develop a representative finite element (FE) model, and establish baseline data for health monitoring studies. The modal properties were extracted using three operational modal analysis techniques (OMA): Enhanced Frequency Domain Decomposition (EFDD), Stochastic Subspace Identification (SSI), and Natural Excitation Technique with Eigensystem Realization Algorithm (NExT-ERA). The first 10 identified modes were below 7 Hz. Eight modes out of the ten were bending-dominant, while the remaining two were torsion-dominant. A FE model was also developed in ETABS to ascertain and compare the response of the structure with the identified results. From the FE model, the modes corresponding to the first ten identified modes were considered for comparison with the identified frequencies from ambient monitoring. The maximum 7.71% error was observed between the experimental and numerical frequencies. The error was minimized by using the manual updating the material properties and adding the weight of nonstructural elements. The variation of identified modal frequencies with ambient temperature was observed to be linearly dependent to a reasonable degree. A general trend of decreasing identified frequencies was observed with the rise in temperature.

Exploration and Characterization of Dynamic Properties for Cultural Heritage Conservation: A Case Study for Historical Stone Masonry Buildings in Zanzibar

“…The excitation frequency computed using FEA demonstrates a robust correlation with natural frequency ranges assessed through experimental investigation. However, both findings revealed that the structure's stiffness influences the fundamental frequency [31]. It is too pertinent to mention that no study has been conducted on parametric relationship development considering the dynamic characteristics of unexplored sites, i.e., Stone Town is currently undergoing rapid structural degradation.…”

Looseness Identification of Transmission Tower Based on Inertial Measurement

“…Li et al [19] presented a stochastic subspace identification method to obtain the frequencies and damping ratios of transmission towers, then detected the health status of transmission towers during Typhoon Khanun. However, the mode parameters are not very sensitive to local damage and are easily affected by environmental excitation [20]. To complement the damage recognition strategies of the structure, assorted signal processing techniques and damage features have been proposed.…”