Evaluation of Pinching Effects on a Real Concrete Building Seismic Performance by Resimulating Displacement Responses Using HLA SHM Results

Rabiepour, Mohammad; Zhou, Cong; Chase, J. Geoffrey

doi:10.1061/(asce)cf.1943-5509.0001602

Cited by 6 publications

(26 citation statements)

References 32 publications

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“…In particular, the well-developed and validated hysteresis loop analysis (HLA) SHM method [52][53][54] has recently been used to identify stiffness changes in the BNZ building due to these three earthquakes [16,55]. The HLA SHM results for the BNZ building confirm the measured IDR and spectral analysis results presented.…”

Section: Bnz Building Implicationssupporting

confidence: 53%

“…Figure 19. Evolution of the effective elastic stiffness in stories of the BNZ building due to three damaging earthquakes along the x direction [16,55].…”

Section: Hla: a Promising And Increasingly Proven Shm Methods For Imp...mentioning

confidence: 99%

“…The damage imposed on the building under the first two earthquakes should have required significant retrofit and repair, which the building did not receive because the extent of structural damage remained unidentified due to inaccurate post-event evaluations [16]. Eventually, the BNZ building had to be demolished 10 years from its opening, less than one-fifth of the typical 50-year service life, where several of these years were out of service and unoccupied, imposing a more significant economic loss on building owners due to a lack of accurate information on the building state [16].…”

Section: Visual Inspection and Shm: Mission Impossible And An Urgent ...mentioning

confidence: 99%

“…Most have been developed based on numerical models or small-scale structures in laboratories, and their SHM performance has not been validated on real-world structures in practice [3]. In addition, many capture linear frequency response metrics, which do not pinpoint damage and are not sensitive to significant damage [13,16,17].…”

Section: Introductionmentioning

confidence: 99%

“…The BNZ building sustained extensive structural damage due to earthquakes between 2013 and 2016. The severity of the structural damage accumulated during these years led to its eventual demolition [16].…”

Section: Introductionmentioning

confidence: 99%

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Lessons from Earthquake-affected Structures: The Necessity of Structural Health Monitoring and Instrumentation

Rabiepour

Chase

Zhou

2022

Preprint

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This paper studies two highly earthquake-affected structures in New Zealand, where visual inspection outcomes missed damage, resulting in incorrect and delayed decisions, which cost lives and wasted resources. Specifically: 1) the un-instrumented Canterbury Television (CTV) building; and 2) the instrumented Bank of New Zealand (BNZ) building. This study uses these known outcomes to highlight the importance of reliable structural health monitoring (SHM) methods and SHM instrumentation in earthquake-prone areas, where each damaging earthquake and subsequent further-damaging aftershocks demand continuous monitoring to continuously assess damage and risk to safety. Elastic spectral analyses are carried out for the CTV building using the earthquake acceleration records at a station near the CTV building. For the BNZ building, inter-story drift ratio (IDR) analyses are conducted based on the building's instrumentation data. These simple, low-cost analyses indicate the damage and deterioration in both structures, and thus the importance of sensor networks and SHM instrumentation so quantitative analysis can rapidly examine subjective visual inspection results or better target and augment these inspections. Finally, this study introduces the hysteresis loop analysis (HLA) in the context of the instrumented BNZ building, showing the ability to provide necessary monitoring to assess damage and risk. This paper does not aim to criticize post-earthquake inspections or inspectors. However, it does aim to draw attention to the fact visual inspections are inherently unreliable, and current post-earthquake evaluation policies should be upgraded considering advances in instrumentation technologies and SHM methods. The paper ends discussing how the combined actions of all stakeholders are essential for successful, effective post-earthquake evaluations.

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Section: Bnz Building Implicationssupporting

confidence: 53%

“…Figure 19. Evolution of the effective elastic stiffness in stories of the BNZ building due to three damaging earthquakes along the x direction [16,55].…”

Section: Hla: a Promising And Increasingly Proven Shm Methods For Imp...mentioning

confidence: 99%

Section: Visual Inspection and Shm: Mission Impossible And An Urgent ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lessons from Earthquake-affected Structures: The Necessity of Structural Health Monitoring and Instrumentation

Rabiepour

Chase

Zhou

2022

Preprint

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Experimental verification for a mechanics‐based digital cloning method predicting structural performance and damage

Rabiepour

Zhou

Chase

2023

Earthq Engng Struct Dyn

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This paper introduces a novel digital twin modelling framework combining accurate structural health monitoring (SHM) results delivered by hysteresis loop analysis (HLA) with the basis function modelling to predict structural damage and responses of earthquake-affected structures under future seismic events. The measured data sets of a 12-storey 1/10 scale reinforced concrete (RC) structure shaken by three damaging base excitations (Events 1, 2 and 3) using a shake table has been employed to validate the performance of the introduced predictive framework. The results show that the digital twin created under the first base excitation (Event 1) predicts the inter-storey displacement responses of the test structure due to the second and third excitations (Events 2 and 3) with an average correlation coefficient of ∼0.88 and ∼0.94, respectively. The inter-storey drift ratio (IDR) values predicted by the digital twin also result in the same seismic performance delivered by the measured values, making the introduced framework a promising tool for assessing structural collapse and subsequent financial risk using incremental dynamic analysis (IDA). Moreover, the maximum difference of 5% between the identified and predicted stiffness values illustrates the robust and accurate performance of the proposed framework in diagnosing structural damage in highly nonlinear and damaged structures.

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Deep learning for seismic structural monitoring by accounting for mechanics-based model uncertainty

Cheraghzade

Roohi

2022

Journal of Building Engineering

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Evaluation of Pinching Effects on a Real Concrete Building Seismic Performance by Resimulating Displacement Responses Using HLA SHM Results

Cited by 6 publications

References 32 publications

Lessons from Earthquake-affected Structures: The Necessity of Structural Health Monitoring and Instrumentation

Lessons from Earthquake-affected Structures: The Necessity of Structural Health Monitoring and Instrumentation

Experimental verification for a mechanics‐based digital cloning method predicting structural performance and damage

Deep learning for seismic structural monitoring by accounting for mechanics-based model uncertainty

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