Non-destructive means and methods for structural diagnosis of masonry arch bridges

Abstract Within the precepts defended by the International Charter of Krakow, this paper aims at presenting a fully non-destructive multidisciplinary approach able to characterize masonry bridges at three different levels: i) geometrical level; ii) material level and; iii) structural level. To this end, this approach integrates the terrestrial laser scanner, the sonic and impact-echo methods, the ground penetrating radar and the multichannel analysis of surface waves. All these data are combined with reverse engineering procedures, allowing the creation of suitable as-built CAD models for advanced numerical simulations. Then, these numerical models are contrasted and updated through the data provided by the ambient vibration tests. To validate the methodology proposed in this paper, the Roman bridge of Avila was used as study case. This bridge shows a complex mixture of constructive techniques (masonry, cohesive material, Opus Caementicium and reinforced concrete). Thus, the numerical model was considered for performing predictive structural analysis.

[1]  Pedro Arias,et al.  Terrestrial laser scanning and limit analysis of masonry arch bridges , 2011 .

[2]  A. C. Iñigo,et al.  Heritage Stone 5. Silicified Granites (Bleeding Stone and Ochre Granite) as Global Heritage Stone Resources from Ávila, Central Spain , 2016 .

[3]  António Arêde,et al.  Detailed FE and DE Modelling of Stone Masonry Arch Bridges for the Assessment of Load-carrying Capacity , 2015 .

[4]  Pedro Arias,et al.  Structural analysis of Monforte de Lemos masonry arch bridge considering the influence of the geometry of the arches and fill material on the collapse load estimation , 2016 .

[5]  Nicholas J. Carino,et al.  The Impact-Echo Method: An Overview , 2001 .

[6]  Gabriele Comanducci,et al.  Dynamic characterization of a severely damaged historic masonry bridge , 2017 .

[7]  Mercedes Solla,et al.  Evaluation of historical bridges through recreation of GPR models with the FDTD algorithm , 2016 .

[8]  Gabriele Milani,et al.  3D non-linear behavior of masonry arch bridges , 2012 .

[9]  Lorenzo Cantini,et al.  Assessment of mechanical properties of full‐scale masonry panels through sonic methods. Comparison with mechanical destructive tests , 2016 .

[10]  Laishui Zhou,et al.  A framework for 3D model reconstruction in reverse engineering , 2012, Comput. Ind. Eng..

[11]  Christian Cremona,et al.  Assessment of European railway bridges for future traffic demands and longer lives – EC project “Sustainable Bridges” , 2005 .

[12]  Paolo Zampieri,et al.  Reinforced concrete and masonry arch bridges in seismic areas: typical deficiencies and retrofitting strategies , 2015 .

[13]  Giandomenico Toniolo,et al.  Reinforced Concrete Design to Eurocode 2 , 2017 .

[14]  Palle Andersen,et al.  Modal Identification from Ambient Responses using Frequency Domain Decomposition , 2000 .

[15]  Gabriele Milani,et al.  Augustus Bridge in Narni (Italy): Seismic Vulnerability Assessment of the Still Standing Part, Possible Causes of Collapse, and Importance of the Roman Concrete Infill in the Seismic-Resistant Behavior , 2017 .

[16]  María Cátedra Tomás La manipulación del patrimonio cultural: la Fábrica de Harinas de Ávila , 1998 .

[17]  Leon Knopoff,et al.  Observation and Inversion of Surface-Wave Dispersion , 1972 .

[18]  Diego González-Aguilera,et al.  The combination of geomatic approaches and operational modal analysis to improve calibration of finite element models: A case of study in Saint Torcato Church (Guimarães, Portugal) , 2014 .

[19]  Gabriele Bitelli,et al.  From Laser Scanning to Finite Element Analysis of Complex Buildings by Using a Semi-Automatic Procedure , 2015, Sensors.

[20]  Loris Vincenzi,et al.  Ambient vibration‐based finite element model updating of an earthquake‐damaged masonry tower , 2018 .

[21]  Luca Pelà,et al.  Comparison of seismic assessment procedures for masonry arch bridges , 2013 .

[22]  Georgios E. Stavroulakis,et al.  Parameter identification for damaged condition investigation on masonry arch bridges using a Bayesian approach , 2018, Engineering Structures.

[23]  Vasilis Sarhosis,et al.  A review of experimental investigations and assessment methods for masonry arch bridges , 2016, Structure and Infrastructure Engineering.

[24]  Richard D. Miller,et al.  Multichannel analysis of surface waves , 1999 .

[25]  Gabriele Guidi,et al.  a Geometric Processing Workflow for Transforming Reality-Based 3d Models in Volumetric Meshes Suitable for Fea , 2017 .

[26]  José Juan de Sanjosé-Blasco,et al.  Assessment of the Structural Integrity of the Roman Bridge of Alcántara (Spain) Using TLS and GPR , 2018, Remote. Sens..

[27]  Pedro Arias,et al.  Photogrammetric 3D modelling and mechanical analysis of masonry arches: An approach based on a discontinuous model of voussoirs , 2011 .

[28]  Miha Tomazevic,et al.  Earthquake-Resistant Design of Masonry Buildings , 1999 .

[29]  Pedro Arias,et al.  Multidisciplinary approach to the assessment of historic structures based on the case of a masonry bridge in Galicia (Spain) , 2011 .

[30]  Geraldine S. Cheok,et al.  Fast automatic registration of range images from 3D imaging systems using sphere targets , 2009 .

[31]  Valentina Bonora,et al.  An integrated Terrestrial Laser Scanner (TLS), Deviation Analysis (DA) and Finite Element (FE) approach for health assessment of historical structures. A minaret case study , 2017 .

[32]  António Topa Gomes,et al.  Experimental characterization of the mechanical behaviour of components and materials of stone masonry railway bridges , 2017 .

[33]  Luís F. Ramos,et al.  Integrating geomatic approaches, Operational Modal Analysis, advanced numerical and updating methods to evaluate the current safety conditions of the historical Bôco Bridge , 2018 .

[34]  Serena Cattari,et al.  Seismic assessment of interacting structural units in complex historic masonry constructions by nonlinear static analyses , 2019, Computers & Structures.

[35]  J. Garcia-Talegon,et al.  Granitos empleados en Ávila - España. I. Composición química de las distintas variedades. , 1994 .

[36]  Luís F. Ramos,et al.  Heritage site preservation with combined radiometric and geometric analysis of TLS data , 2018 .

[37]  José C. Matos,et al.  Probabilistic-based assessment of a masonry arch bridge considering inferential procedures , 2017 .

[38]  Belén Riveiro,et al.  Structural assessment of masonry arch bridges by combination of non-destructive testing techniques and three-dimensional numerical modelling: Application to Vilanova bridge , 2017 .

[39]  Randall J. Allemang,et al.  THE MODAL ASSURANCE CRITERION–TWENTY YEARS OF USE AND ABUSE , 2003 .

[40]  Pedro A. S. Jorge,et al.  Calibration of the numerical model of a stone masonry railway bridge based on experimentally identified modal parameters , 2016 .

[41]  Paulo B. Lourenço,et al.  Integrated structural safety analysis of San Francisco Master Gate in the Fortress of Almeida , 2018 .

[42]  Vasilis Sarhosis,et al.  Stability analysis of leaning historic masonry structures , 2018, Automation in Construction.

[43]  Abdulkadir Cüneyt Aydin,et al.  The finite element analysis of collapse loads of single-spanned historic masonry arch bridges (Ordu, Sarpdere Bridge) , 2018 .

[44]  Antonio Blanco Freijeiro Informes académicos. Puente romano sobre el río Adaja, en Ávila , 1985 .

[45]  Luís F. Ramos,et al.  Integration of reverse engineering and non-linear numerical analysis for the seismic assessment of historical adobe buildings , 2019, Automation in Construction.

[46]  Georgios E. Stavroulakis,et al.  Modelling and strength evaluation of masonry bridges using terrestrial photogrammetry and finite elements , 2016, Adv. Eng. Softw..

[47]  Paolo Zampieri,et al.  Failure analysis of masonry arch bridges subject to local pier scour , 2017 .

[48]  P. Arias,et al.  Historic bridge modelling using laser scanning, ground penetrating radar and finite element methods in the context of structural dynamics , 2009 .