Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds

Justo, Andrés; Lamas, Daniel; Sánchez‐Rodríguez, Ana; Soilán, Mario; Riveiro, Belén

doi:10.1016/j.autcon.2023.104786

Cited by 13 publications

(5 citation statements)

References 18 publications

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“…Com relação à O&M, muitas pesquisas usaram UAV e LiDAR (BARAZZETTI; PREVITALI; SCAIONI, 2020; CAFISO et al, 2021;JANG et al, 2021;JUSTO et al, 2023;BRUMANA;BANFI, 2022) para levantamento de estruturas existentes, porém há a necessidade de expandir os estudos realizados, já que a maioria se limitou, em seu estudo de caso, a pontes e trechos curtos de estradas. Uma outra questão encontrada está relacionada a dificuldade de levantamento de curvas de pontes e estradas (JUSTO et al, 2023). Outro problema é a perda de informações obtidas pelo UAV ou LiDAR e a necessidade de trabalho manual ao transferi-las e transformá-las em modelos BIM (BARAZZETTI; PREVITALI; SCAIONI, 2020).…”

Section: Discussionunclassified

BIM para infraestruturas rodoviárias

Nascimento,

Santos,

Almeida-Filho

et al. 2023

Simpósio Brasileiro De Tecnologia De Informação E Comunicação Na Construção

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Este estudo tem por objetivo examinar as pesquisas que abordam o uso do BIM para infraestruturas rodoviárias e entender como estão avançando os estudos nesta área e quais são suas direções futuras. Para isso, uma Revisão Sistemática da Literatura é apresentada em que foram levantados 81 artigos através de busca no WoS e no Scopus. Como resultados, pode-se destacar que o uso do BIM aliado a tecnologias como GIS, LiDAR, UAV permite otimizar projetos e facilitam levantamento de estruturas existentes visando melhorias nas fases de construção e manutenção, o que também permite uma melhor gestão de ativos rodoviários. Contudo, como lacunas do conhecimento foram encontradas, pode-se citar que há necessidade de ampliar estudos para (i) superar barreiras relacionadas a modelagem e levantamento de curvas de pontes e rodovias; (ii) avançar em estudos de interoperabilidade e troca de informações entre programas e partes interessadas; (iii) desenvolver trabalhos relacionados as fases de planejamento, requalificação e demolição.

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Section: Discussionunclassified

BIM para infraestruturas rodoviárias

Nascimento,

Santos,

Almeida-Filho

et al. 2023

Simpósio Brasileiro De Tecnologia De Informação E Comunicação Na Construção

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“…Kwon et al [49] described a heuristic method for extracting the value of parameters from primitive shapes such as cuboids and cylinders. Justo et al [50] generated the IFC model of truss bridges using bounding boxes of instance-segmented point clouds and collision of elements. Valero et al [51] detected the planer surfaces in the point clouds and determined the value of parameters by measuring the distance between planes.…”

Section: State Of the Artmentioning

confidence: 99%

Automated geometric digital twinning of bridges from segmented point clouds by parametric prototype models

Mafipour,

Vilgertshofer,

Borrmann

2023

Automation in Construction

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“…Research on the viability of using point clouds as a tool for real-asset generation in 3D for structural maintenance, repair, and health monitoring applications of existing civil engineering structures has been widely explored in the literature [32][33][34][35][36][37]. The study [38] calculated the deformation accuracy of a structure using two point clouds, one with an undeformed shape and the other with a deformed shape.…”

Section: Brief Backgroundmentioning

confidence: 99%

On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure

Catbas,

Cano,

Luleci

et al. 2023

Infrastructures

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This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two different point clouds with varying densities, (i) fine (11 collection locations) and (ii) coarse (4 collection locations), collected via terrestrial LiDAR, are analyzed to generate geometry and structural sections. This geometry is compared to the structural plans, which are then converted into numerical models (finite element—FE model) based on the point cloud data. Point cloud-based FE models (based on fine and coarse data) are compared with the structural plan-based FE model. It is observed that the static and dynamic responses are comparable within an acceptable range of a maximum difference of 5.5% for static deformation and an 8.23% frequency difference, with an average difference of less than 5%. Additionally, the dynamic properties of the fine and coarse point cloud FE models are compared with the operational modal analysis data obtained from the bridge. The fine and course point-cloud-based FE models, without model calibration, achieve an average accuracy of 8.76% and 9.94% for natural frequencies and a 0.89 modal assurance criterion value. The research found that the digital data generation yields promising results in this case for a bridge if documentation or plans are unavailable. With recent technologies and approaches such as digital twins, the connection between physical and virtual entities needs to be established by fusing digital models, sensorial information, and other data forms for better infrastructure management. Models such as those investigated and discussed in this paper can assist engineers with structural preservation in conjunction with monitoring data and utilization for digital twins.

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Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds

Cited by 13 publications

References 18 publications

BIM para infraestruturas rodoviárias

BIM para infraestruturas rodoviárias

Automated geometric digital twinning of bridges from segmented point clouds by parametric prototype models

On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure

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