Model Calibration of a Historic Masonry Arch Bridge Using a Probabilistic Approach

Author(s):  
B. Barros ◽  
B. Conde ◽  
L. J. Sánchez-Aparicio ◽  
M. Cabaleiro ◽  
O. Bouzas ◽  
...  
2015 ◽  
Vol 21 (4-6) ◽  
pp. 107-117
Author(s):  
S. K. Elwan

Abstract This research outlines a case study for the structural rehabilitation of a historic masonry arch bridge. The major part of the railway bridge was destroyed due to high flood. The remaining parts were evaluated from structural point of view. A detailed investigation for the historic and current state of the bridge was performed. A precise description for the structural system, main elements, method of construction, materials used, and internal component was done. Also, 3D finite element analysis was conducted for the proposed rehabilitated bridge in order to identify the level of internal stresses in different structural components of the arch bridge under the effect of dead loads, live loads, wind loads, seismic loads, water flow rate, and temperature changes. The results of the finite element modeling together with the structural studies and investigations were used to develop structural guidelines for the rehabilitation project taking into account the proposed new usage as a historic walkway and the hydrological requirements as a structure over flood flow channel.


2017 ◽  
Vol 3 (3) ◽  
pp. 108
Author(s):  
Emre Alpaslan ◽  
Burcu Dinç ◽  
Kemal Hacıefendioğlu ◽  
Gökhan Demir ◽  
Olgun Köksal

This study aims to investigate modal parameters such as mode shapes, natural frequencies and damping ratios of a reduced scale one-span historical masonry arch bridge constructed in laboratory conditions by performing numerical and experimental analysis. Sarp Dere historical masonry bridge, in Ordu, Ulubey, has 15.5m in length and 4.75m in width was chosen as a prototype model. The reduced-scale bridge model and structural details were carried out in the scale of 1:12.5. Operational Modal Analysis (OMA) technique was used for experimental study. The experimental modal parameters of the bridge model were figured out by using Enhanced Frequency Domain Decomposition (EFDD). ANSYS software was used to create 3D finite element (FE) model and to expose the analytical modal parameters of the reduced-scaled bridge model. Moreover, FE model of the reduced-scale bridge model was calibrated based on the experimental results by using the Response Surface based FE model calibration technique to obtain more accurate results. The analysis results of experimental, initial and calibrated FE model were compared. It is noted that there are significant differences between the modal parameters obtained from experimental and initial FE model. Model calibration techniques are beneficial to get a more reasonable FE model.


2020 ◽  
Author(s):  
Valerio Gagliardi ◽  
Luca Bianchini Ciampoli ◽  
Fabio Tosti ◽  
Andrea Benedetto ◽  
Amir M. Alani

<p>Approximately 70,000 masonry arch bridge spans (brick and stone) are reported to exist in the United Kingdom with in excess of tens of thousands throughout Europe. A good portion of these bridges is still operational and form part of the road and rail network systems in many countries. However, a great majority of these structures require desperate repair and maintenance [1].</p><p>Non-destructive testing (NDT) methods such as ground penetrating radar (GPR), 3D laser scanning, accelerometer sensors and thermal cameras amongst many others have been used to assess and monitor such structures in the past few years [2]. However, research has proven that stand-alone or integrated use of ground-based techniques may not represent a definitive solution to some major structural issues, such as scour and differential settlements [3], as these require continuous monitoring and data collection on long-term basis. To that extent, use of satellite data-based synthetic aperture radar (SAR) interferometry (InSAR) has proven to be effective in measuring displacements of infrastructure [4] [5] and natural terrain [6] over longer periods of observation.</p><p>Within this context, the paper presents a new integrated monitoring approach including use of the GPR and the InSAR techniques to an historic masonry arch bridge - the Old Aylesford Bridge in Kent, UK – a 13<sup>th</sup> century bridge, crossing the river Medway. Main objectives of the research were: (1) to prove the viability of low-frequency and high-frequency GPR systems in providing structural detailing of the bridge deck at different depths and resolutions; (2) to be able to measure structural displacements with a millimetre accuracy caused by the seasonal variation of the water level in the river and the river bed soil expansions. Results have proven the viability of the above process to form the basis for an integrated health monitoring mechanism.</p><p> </p><p>References</p><p>[1] Alani, A.M., Tosti, F., Banks, K., Bianchini Ciampoli, L., Benedetto, A. Non-Destructive Assessment of a Historic Masonry Arch Bridge Using Ground Penetrating Radar and 3D Laser Scanner, IMEKO International Conference on Metrology for Archaeology and Cultural Heritage Lecce, Italy, October 23-25, 2017.</p><p>[2] Solla, M., Lorenzo, H., Rial, F.I., Novo, A. (2011). GPR evaluation of the Roman masonry arch bridge of Lugo (Spain), NDT&Int., 44, 8-12.</p><p>[3] Selvakumaran, S., Plank, S., Geiß, C., Rossi, C., Middleton, C. (2018). Remote monitoring to predict bridge scour failure using Interferometric Synthetic Aperture Radar (InSAR) stacking techniques, Int. J. .Appl. Earth Obs. and Geoinf. 73, 463-470.</p><p>[4] Tosti, F., Gagliardi, V., D'Amico, F. and Alani, A.M., Transport infrastructure monitoring by data fusion of GPR and SAR imagery information. TIS 2019 International Conference of Rome, 23-24 September 2019.</p><p>[5] Bianchini Ciampoli, L., Gagliardi, V., Clementini, C. et al. (2019). Transport Infrastructure Monitoring by InSAR and GPR Data Fusion. Surv Geophys. https://doi.org/10.1007/s10712-019-09563-7</p>


1995 ◽  
Vol 28 (6) ◽  
pp. 377-386 ◽  
Author(s):  
D.M. Armstrong ◽  
A. Sibbald ◽  
C.A. Fairfield ◽  
M.C. Forde

Author(s):  
Andrea Benedetti ◽  
Mirco Tarozzi ◽  
Giacomo Pignagnoli ◽  
Claudia Martinelli

Author(s):  
Balint Penzes ◽  
Hoe-Chian Yeow ◽  
Peter Harris ◽  
Christopher Heap

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