Fem Model Calibration of Experimental Environmental Vibration Tests on Two Churches Hit by L’Aquila Earthquake

Formisano, Antonio; Lorenzo, Giusy Di; Krstevska, Lidija; Landolfo, Raffaele

doi:10.1080/15583058.2020.1719233

Cited by 42 publications

(21 citation statements)

References 33 publications

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“…The next image of the future FEA deviation result between two computations is x t+1 . The problem can be described by Equation (12), which means the unknown probability distribution p of the next image depends on all of the past FEA images.…”

Section: Mathematical Descriptionmentioning

confidence: 99%

“…It is necessary to find the functional relationship of generating future predictionsx t+1 . Equation (13) formulates the relationship to find the possible prediction by maximizing the probability function in Equation (12). However, the probability function in this example is difficult to solve with a precise mathematical solution.…”

Section: Mathematical Descriptionmentioning

confidence: 99%

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Intelligent Calibration of Static FEA Computations Based on Terrestrial Laser Scanning Reference

Bao

Chen

et al. 2020

Sensors

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The demand for efficient and accurate finite element analysis (FEA) is becoming more prevalent with the increase in advanced calibration technologies and sensor-based monitoring methods. The current research explores a deep learning-based methodology to calibrate FEA results. The utilization of monitoring reference results from measurements, e.g., terrestrial laser scanning, can help to capture the actual features in the static loading process. We learn the deviation sequence results between the standard FEA computations with the simplified geometry and refined reference values by the long short-term memory method. The complex changing principles in different deviations are trained and captured effectively in the training process of deep learning. Hence, we generate the FEA sequence results corresponding to next adjacent loading steps. The final FEA computations are calibrated by the threshold control. The calibration reduces the mean square errors of the FEA future sequence results significantly. This strengthens the calibration depth. Consequently, the calibration of FEA computations with deep learning can play a helpful role in the prediction and monitoring problems regarding the future structural behaviors.

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Section: Mathematical Descriptionmentioning

confidence: 99%

Section: Mathematical Descriptionmentioning

confidence: 99%

Intelligent Calibration of Static FEA Computations Based on Terrestrial Laser Scanning Reference

Bao

Chen

et al. 2020

Sensors

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“…This study combining the ambient noise analysis with a thorough numerical simulation of the building, which considerably minimizes the uncertainty and the hypersensitivity effects of the numerical simulation, wherefore boosts the reliability of the analyses. The use of ambient noise measurements in the building operating conditions has allowed the calibration of the numerical model and developing the 3D nonlinear numerical model by minimizing its hypersensitivity to the inputs and the initial assumptions (Mucciarelli et al 1999;Navarro and Oliveira 2006;Mucciarelli et al 2006, Formisano et al 2018Di Lorenzo et al 2019, Formisano et al 2020. Consequently, the calibrated numerical model has become significantly reliable for predicting the actual dynamic behavior of Syrian existing public RC structures designed according to the old Syrian (non-seismic) building code.…”

Section: Introductionmentioning

confidence: 99%

Dynamic behavior assessment of public buildings in Syria using non-linear time-history analysis and ambient noise measurements: a case study

2021

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This study evaluates the dynamic behavior and performance of vital reinforced concrete (RC) public building [Ministry of Higher Education (MHE)] designed in compliance with the old Syrian (non-seismic) building code. The real non-linear dynamic behavior of the MHE building has been checked by detailed dynamic numerical analyses (finite elements method—FEM) validated by a series of ambient noise measurements carried out on-site. The modeling approach for the thorough 3D dynamic analyses of the (RC) MHE building has been developed to be able to investigate the actual non-linear dynamic performance of widespread range of RC structures, providing the opportunity to set up a reliable detailed methodology to assess the real dynamic performance of the old vital structures designed according to the old Syrian (non-seismic) building code from the new seismic requirements perspective. The results of the frequency analyses, the nonlinear time history, and the experimental measurements have shown an excellent agreement. The study showed that the modeling approach by the FEM is reliable for predicting the actual dynamic behavior of RC structures, but it is very sensitive to the modeling assumptions. Furthermore, the dynamic performance analyses have revealed unsymmetrical behavior of the east–west wings about the Y-axis which could be attributed to the inefficient seismic rehabilitation executed in 2001.

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“…For these mechanisms, there is a wealth of literature references aimed at calculating the ultimate load factors by means of limit analysis, especially with kinematic approaches considering frictional behaviour [3][4][5][6][7][8][9][10][11][12]. In the last few decades, researchers have also developed analytical methods in the field of finite element (FE) analyses to examine ordinary masonry constructions [13][14][15][16][17] or have implemented large scale and detailed numerical investigations to study monumental constructions like churches [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Parametric Analysis on Local Mechanisms of Masonry Churches in Teramo (Italy)

2020

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Local collapse mechanisms related to the out-of-plane response of walls are commonly observed in existing masonry buildings subjected to earthquakes. In such structures, the lack of proper connections among orthogonal walls and between walls and floors does not allow a global box-type behaviour of the building to develop, which would be governed by the in-plane response of walls. In this paper, parametric linear kinematic analyses on the main local mechanisms of masonry churches were performed with the aim to evaluate the corresponding horizontal load multipliers. This study was conducted on 12 masonry churches, located in Teramo (Italy) and affected by the 2016 Central Italy earthquake, whose main out-of-plane collapse mechanisms, namely facade overturning, vertical bending, corner overturning and roof gable wall overturning, have been analysed. For each mechanism, parametric analysis was carried out on varying heights and thicknesses of walls. Firstly, the acceleration values activating the considered mechanisms were calculated in order to conduct checks prescribed by the current Italian standard. Subsequently, on the basis of the obtained results, simple analytical procedures to determine load collapse multiplier for each mechanism were drawn. Finally, ranges of suitable values of both the thickness and height of walls were found in order to always satisfy seismic checks.

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Fem Model Calibration of Experimental Environmental Vibration Tests on Two Churches Hit by L’Aquila Earthquake

Cited by 42 publications

References 33 publications

Intelligent Calibration of Static FEA Computations Based on Terrestrial Laser Scanning Reference

Intelligent Calibration of Static FEA Computations Based on Terrestrial Laser Scanning Reference

Dynamic behavior assessment of public buildings in Syria using non-linear time-history analysis and ambient noise measurements: a case study

Parametric Analysis on Local Mechanisms of Masonry Churches in Teramo (Italy)

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