Architectural survey of historical buildings:The orders of classical architecture in the Baptistery of Florence

The survey of historic buildings is very important for architectural conservation.An integral survey allows perpetuating the building historical memory,deciphering it for future generations,and recovering it in case of accidental loss.The Baptistery of Florence survey was done with four measuring methods:the"direct"one,which employs traditional measuring tools;the"indirect"one,which expedites the dimension-gathering process with more preci-sion;and the"photogrammetric"one,which uses snapshots to facilitate the representation process with computers.An innova tive measuring concept,known here as the"recovery sur-vey",synthetizes graphical reality so that irregularities--due to the project materialization and deterioration over time-disappear;therefore,retrieving the building original design.Col-umns with their bases,shafts and capitals,as well as entablatures with their architraves,friezes and cornices were under study.The three Greek orders(Doric,lonic and Corinthian)together with the two roman orders(Tuscan and Composite)unveiled the classical architecture significance.These constituents,which reoccur inside and outside the baptistery,were measured as part of these holistic survey and recovery process,to achieve the objective of this research study:the recording of this world historical building through an integral survey and rilievo to decode its significance and symbolism.

Prediction accuracy of reservoir break flood simulation model using finite volume method and UAV

Methods for producing high-resolution digital topographic maps using an unmanned aerial vehicle(UAV),and 3D fluid dynamics simulation to estimate the flooded areas caused by a collapsed reservoir,were proposed in this paper.The UAV flight path for photographing damaged areas was divided into two sections considering the drone flight time and overlapping range of the images in the x-and y-directions.The metadata taken by the drone were transferred into world coordinates by tracking the key features of the photographs of nearby areas using a 3D rotation matrix.The point cloud data with a 3D space were extracted from the registered images,and a digital surface map(DSM)was produced using a point cloud classification geometric mapping technique.To amend the serious elevation errors caused by natural or artificial obstacles,a kriging interpolation method was used to reproduce the DSM.A transient computational simulation that considers both the complex geometric topology and hydrodynamic energy of flowing water was conducted using FLOW-3D software to deal with an renormalization group(RNG)turbulence model.The flooded areas calculated through visual reading using images taken by the UAV were compared with the 3D simulation results for verification.The flooded areas estimated through the simulation were approximately 18.3%larger than those found by visual reading.Turbulent flows were mainly observed in obstacles or curved areas of the stream,and the differences in the water depth could be further increased.However,the villagers confirmed that the flooded areas were much greater than what was seen through the visual reading.Therefore,the combination of UAV surveying and the 3D simulation method based on the RNG turbulence model is recommended to accurately estimate flooded areas,and it will support an administrative policy aimed at minimizing the economic costs of damage caused by future reservoir collapses.