Reliability-Based Safety Evaluation of the BISTOON Historic Masonry Arch Bridge
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Department of Civil Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran
Faculty of Civil and Surveying Engineering, Graduate University of Advanced Technology, Kerman, Iran
School of Environment, Enterprise and Development (SEED), University of Waterloo, Waterloo, Canada
Department of Civil and Environmental Engineering, Politecnico di Milano, Lecco, Italy
Department of Civil Engineering, Salmas Branch, Islamic Azad University, Salmas, Iran
Online publication date: 2020-04-18
Publication date: 2020-03-01
Civil and Environmental Engineering Reports 2020;30(1):87–110
This research examines the probabilistic safety assessment of the historic BISTOON arch bridge. Probabilistic analysis based on the Load-Resistance model was performed. The evaluation of implicit functions of load and resistance was performed by the finite element method, and the Monte-Carlo approach was used for experiment simulation. The sampling method used was Latin Hypercube. Four random variables were considered including modulus of elasticity of brick and infilled materials and the specific mass of brick and infilled materials. The normal distribution was used to express the statistical properties of the random variables. The coefficient of variation was defined as 10%. Linear behavior was assumed for the bridge materials. Three output parameters of maximum bridge displacement, maximum tensile stress, and minimum compressive stress were assigned as structural limit states. A sensitivity analysis for probabilistic analysis was performed using the Spearman ranking method. The results showed that the sensitivity of output parameters to infilled density changes is high. The results also indicated that the system probability of failure is equal to p f system =1.55 × 10−3. The bridge safety index value obtained is βt = 2.96, which is lower than the recommended target safety index. The required safety parameters for the bridge have not been met and the bridge is at the risk of failure.
Aliabdo, AAE and Elmoaty, AEMA 2012. Reliability of using nondestructive tests to estimate compressive strength of building stones and bricks. Alexandria Engineering Journal 51(3), 193-203.
Allen, DE 1992. Canadian highway bridge evaluation: reliability index. Canadian Journal of Civil Engineering 19(6), 987-991.
Altunişik, AC, Adanur, S, Genç, AF, Günaydin, M, and Okur, FY 2016. Non-destructive testing of an ancient masonry bastion. Journal of Cultural Heritage 22, 1049-1054.
Altunışık, AC, Kanbur, B, and Genc, AF 2015. The effect of arch geometry on the structural behavior of masonry bridges. Smart Struct. Syst 16(6), 1069-1089.
Asteris, PG, Moropoulou, A, Skentou, AD, Apostolopoulou, M, Mohebkhah, A, Cavaleri, L and Varum, H 2019. Stochastic Vulnerability Assessment of Masonry Structures: Concepts, Modeling, and Restoration Aspects. Applied Sciences, 9(2), 243.
Başbolat, EE, Bayraktar, A and Başağa HB (11-13 October 2018) Seismic reliability analysis of high concrete arch dams under near-fault effect, 4th International Conference on Earthquake Engineering and Seismology, TURKEY.
Beconcini, ML, Croce, P, Marsili, F, Muzzi, M and Rosso, E 2016. Probabilistic reliability assessment of a heritage structure under horizontal loads. Probabilistic engineering mechanics 45, 198-211.
Bilgin, H and Huta, E 2018. Earthquake performance assessment of low and mid-rise buildings: Emphasis on URM buildings in Albania. Earthquakes and Structures 14(6), 599-614.
Borgna, G, Zanini, MA, Hofer, L, Faleschini, F and Matos, J 2019. Structural Reliability of Masonry Arch Bridges Subject to Natural Aging. In International Conference on Arch Bridges, Springer, Cham, October, 823-830.
Casas, JR 2011. Reliability-based assessment of masonry arch bridges. Construction and Building Materials 25(4), 1621-1631.
Del Monte, E, Boschi, S and Vignoli, A 2020. Prediction of compression strength of ancient mortars through in situ drilling resistance technique. Construction and Building Materials 237, 117563.
Demircan, RK, Kaplan, G and Unay, AI 2019. Determination of the Physical and Mechanical Properties of the Materials Used in The Northern City Walls of Historical Sinop Castle. In IOP Conference Series: Materials Science and Engineering, IOP Publishing, February (Vol. 471, No. 8, p. 082039).
Dizhur, D, Lumantarna, R, Biggs, DT and Ingham, JM 2017. In-situ assessment of the physical and mechanical properties of vintage solid clay bricks. Materials and Structures 50(1), 63.
Domański, T and Matysek, P 2018. The reliability of masonry structures–evaluation methods for historical buildings. Czasopismo Techniczne 9, 91108.
Ebrahimiyan, M, Golabchi, M and Yekrangnia, M 2017. Field Observation and Vulnerability Assessment of Gonbad-e Qābus. Journal of Architectural Engineering 23(4), 05017008.
Erkal, A and Ozhan, HO 2014. Value and vulnerability assessment of a historic tomb for conservation. The Scientific World Journal, 2014.
Fathi, A, Sadeghi, A, Emami Azadi, MR and Hoveidaie, N 2019. Assessing Seismic Behavior of a Masonry Historic Building considering Soil-Foundation-Structure Interaction (Case Study of Arge-Tabriz). International Journal of Architectural Heritage, 1-16.
Güllü, H and Jaf, HS 2016. Full 3D nonlinear time history analysis of dynamic soil–structure interaction for a historical masonry arch bridge. Environmental Earth Sciences 75(21), 1421.
Hacıefendioğlu, K, Başağa, HB and Banerjee, S 2017. Probabilistic analysis of historic masonry bridges to random ground motion by Monte Carlo Simulation using Response Surface Method. Construction and Building Materials 134, 199-209.
Hradil, P, Žák, J, Novák, D and Lavický, M 2001. Stochastic analysis of historical masonry structures. Historical Constructions, PB Lourenço, P. Roca (Eds.).
Hariri-Ardebili, MA and Xu, J 2019. Efficient seismic reliability analysis of large-scale coupled systems including epistemic and aleatory uncertainties. Soil Dynamics and Earthquake Engineering 116, 761-773.
Khaloo, A, Khoshnevis, A and Yekrangnia, M 2019. On the vulnerability of the Shrine of Prophet Daniel through field observation and numerical simulation. Engineering Failure Analysis 102, 237-259.
Larsson, OSKAR 2015. Reliability analysis. Lecture notes, Lund University.
Mesquita, E, Arêde, A, Silva, R, Rocha, P, Gomes, A, Pinto, N and Varum, H 2017. Structural health monitoring of the retrofitting process, characterization and reliability analysis of a masonry heritage construction. Journal of Civil Structural Health Monitoring 7(3), 405-428.
Mesquita, E, Martini, R, Alves, A, Antunes, P and Varum, H 2018. Nondestructive characterization of ancient clay brick walls by indirect ultrasonic measurements. Journal of Building Engineering 19, 172-180.
Micic, T and Asenov, M 2015. Probabilistic model for ageing masonry walls. In 12th International conferences on applications of statistics and probability in civil engineering, ICASP12, Vancouver, Canada.
Mishra, M, Bhatia, AS and Maity, D 2019. A comparative study of regression, neural network and neuro-fuzzy inference system for determining the compressive strength of brick–mortar masonry by fusing nondestructive testing data. Engineering with Computers, 1-15.
Moreira, VN, Fernandes, J, Matos, JC and Oliveira, DV 2016. Reliability-based assessment of existing masonry arch railway bridges. Construction and Building Materials 115, 544-554.
Moreira, VN, Matos, JC and Oliveira, DV 2017. Probabilistic-based assessment of a masonry arch bridge considering inferential procedures. Engineering Structures 134, 61-73.
Muhammed, JJ 2019. Deterministic and Probabilistic Approaches in the Analysis of the Bearing Capacity of a Bridge Foundation on Undrained Clay Soil. Slovak Journal of Civil Engineering 27(2), 44-51.
Neiva, D, Moreira, VN, Matos, JC and Oliveira, DV 2017. Robustnessbased assessment of railway masonry arch bridges. International Association for Bridge and Structural Engineering. In IABSE Symposium Report, September, Vol. 109, No. 16, 2840-2847.
Noor-E-Khuda, S and Albermani, F 2019. Mechanical properties of clay masonry units: Destructive and ultrasonic testing. Construction and Building Materials 219, 111-120.
Pouraminian, M, Pourbakhshian, S, Farsangi, EN and Fotoukian, R 2019. Probabilistic safety evaluation of a concrete arch dam based on finite element modeling and a reliability IR approach. Civil and Environmental Engineering Reports 4(29), 062-078.
Pouraminian, M, Pourbakhshian, S and Hosseini, M 2019. Reliability analysis of Pole Kheshti historical arch bridge under service loads using SFEM. Journal of Building Pathology and Rehabilitation 4(1), 21.
Pouraminian, M, Sadeghi, A and Pourbakhshiyan, S 2014. Seismic behavior of Persian brick arches. Indian Journal of Science and Technology 7(4), 497.
Pourbakhshian, S and Ghaemain, M 2016. Shape optimization of arch dams using sensitivity analysis. KSCE Journal of Civil Engineering 20(5), 1966-1976.
Reh, S, Beley, JD, Mukherjee, S and Khor, EH 2006. Probabilistic finite element analysis using ANSYS. Structural Safety 28(1-2), 17-43.
Sadeghi, ARJANG and Pouraminian, M 2010. An investigation of the vulnerability of Arge Tabriz (Tabriz Citadel). In 8th International Masonry Conference in Dresden, July.
Silveira, D, Varum, H, Costa, A, Martins, T, Pereira, H and Almeida, J 2012. Mechanical properties of adobe bricks in ancient constructions. Construction and Building Materials 28(1), 36-44.
Valluzzi, MR, Lorenzoni, F, Deiana, R, Taffarel, S and Modena, C 2019. Non-destructive investigations for the structural qualification of the Sarno Baths, Pompeii. Journal of Cultural Heritage 40, 280-287.