Prediction and estimation of pulmonary response and elastance evolution for volume-controlled and pressure-controlled ventilation

Sun, Qianhui; Chase, J. Geoffrey; Zhou, Cong; Tawhai, Merryn H.; Knopp, Jennifer L.; Möller, Knut; Heines, Serge J. H.; Bergmans, Dennis C. J. J.

doi:10.1016/j.bspc.2021.103367

Cited by 15 publications

(9 citation statements)

References 80 publications

(137 reference statements)

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“…This paper is a primary study investigating the use of the digital twin modeling framework, successfully employed in bioengineering applications, [33][34][35][36][62][63][64][65][66] to predict structural damage and performance under earthquakes. The proposed framework covers all possible SHM levels, including damage identification, localization, classification (diagnosis) and damage assessment, and lifetime prediction (prognosis).…”

Section: Storymentioning

confidence: 99%

“…Basis functions have already been used to develop virtual patient models for enhanced mechanical ventilation in a bioengineering application with similar hysteresis loop mechanics. [33][34][35][36] Thus, well-defined basis functions could create a meaningful connection between earthquake loads, structural seismic responses, and physical parameters identified accurately by the HLA-SHM method. Such digital twin models could predict structural responses and damage to the actual structure (physical twin) due to future seismic events, making it a promising post-event evaluation tool.…”

Section: Introductionmentioning

confidence: 99%

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Structural performance and damage prediction using a novel digital cloning technique

Rabiepour

Zhou

Chase

2023

Structural Health Monitoring

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This paper presents a novel, mechanics-based framework to create digital twins for earthquake-affected pinched structures, like reinforced concrete framed buildings. It uses robust and accurate structural health monitoring (SHM) results delivered by the hysteresis loop analysis method as an input to create digital twin models to predict nonlinear dynamic responses of previously damaged structures under potential future seismic events. Method validation is implemented using unique real-world data from the Bank of New Zealand (BNZ) building in Wellington, New Zealand, which experienced severe structural damage due to three earthquakes (Events 1, 2, and 3) between 2013 and 2016.Results show the digital twin derived from the SHM results of Event 1 can predict the inter-story displacement of the BNZ building for Events 2 and 3 with average correlation coefficients of ∼0.95 and ∼0.97 between predicted and measured responses, respectively. Moreover, the maximum difference between the measured and predicted peak values of inter-story displacements was 13 mm, a negligible difference in inter-story drift ratio (IDR). These results were accurate and consistent for all stories. Finally, the accuracy of this framework in capturing IDR values makes it a promising tool for assessing potential future structural collapse risk and its consequent financial risks using well-known incremental dynamic analysis methods.

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Section: Storymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structural performance and damage prediction using a novel digital cloning technique

Rabiepour

Zhou

Chase

2023

Structural Health Monitoring

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“…This paper introduces a novel DT‐based prediction framework combining HLA SHM results with the predictive capabilities of basis functions. Basis functions have successfully been employed to create virtual patient models for mechanical ventilation patients with similar stress‐strain hysteresis loop behaviours as structures 44–47 . Well‐defined basis functions create explicit, meaningful connections between seismic loads, structural responses, and physical parameters identified by HLA.…”

Section: Introductionmentioning

confidence: 99%

“…Basis functions have successfully been employed to create virtual patient models for mechanical ventilation patients with similar stress-strain hysteresis loop behaviours as structures. [44][45][46][47] Well-defined basis functions create explicit, meaningful connections between seismic loads, structural responses, and physical parameters identified by HLA. Such digital twin models can predict structural responses and damage to the monitored structures (physical twins) under future external excitations.…”

Section: Introductionmentioning

confidence: 99%

“…Only one damaging external excitation triggering all contributing structural damage mechanisms as discussed in this study is sufficient to identify basis functions from measured responses and HLA-SHM results to develop predictive digital twins. This paper is a pioneering study which investigates the use of DT modelling framework, successfully used in bioengineering applications, 12,[44][45][46][47][54][55][56][57] to predict structural damage and performance under future unknown external excitations. The introduced predictive framework covers all possible SHM levels, including damage identification, localisation, classification, assessment and lifetime prediction.…”

Section: Introductionmentioning

confidence: 99%

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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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Mathematical modeling of lung mechanics and pressure‐controlled ventilation design for barotrauma minimization: A numerical simulation study

D'Orsi,

Borri,

De Gaetano

2024

Intl J Robust & Nonlinear

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SummaryMechanical ventilation represents a fundamental mode of therapy for severely ill patients who cannot breathe autonomously. At the same time, it has the potential of determining Ventilator‐Induced Lung Injury (VILI) and further damaging the patient's respiratory system. In this work we present a model‐based approach for pressure delivery optimization in the context of pressure‐control mechanical ventilation, with the aim of maintaining oxygenation while minimizing barotrauma. A simple compartmental model of respiration describes both mechanical ventilation, alveolar oxygen exchange and blood oxygen transport. Model Predictive Control is used to optimize delivered air pressure at the mouth at each inspiration, optimizing a trade‐off between oxygenation and barotrauma. Numerical simulations with different values of the trade‐off parameter and in two emblematic pulmonary disease scenarios (ARDS and COPD) show the effectiveness of the proposed approach.

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Prediction and estimation of pulmonary response and elastance evolution for volume-controlled and pressure-controlled ventilation

Cited by 15 publications

References 80 publications

Structural performance and damage prediction using a novel digital cloning technique

Structural performance and damage prediction using a novel digital cloning technique

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

Mathematical modeling of lung mechanics and pressure‐controlled ventilation design for barotrauma minimization: A numerical simulation study

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