Laser Scanning Ship Hulls to Support Hydrodynamic Simulations

Terrestrial laser scanning is an effective technology to capture high density and accurate point clouds about objects with complex geometry. Ship industry requires 3D hull models for multiple reverse engineering purposes; renovation, as-built analysis, simulations etc. The paper discusses how terrestrial laser scanning can be applied to capture ship hull geometry to support hydrodynamic simulations. It presents recommendations of survey geometry and methods considering scanner locations, reflectivity issues. Hydrodynamic simulations require specific types of surface models as inputs; data processing procedure is discussed how the point clouds are effectively transformed to models to be applied. Resource analysis is also included, such as duration of survey and processing, equipment to be used

Steels Specimens’ Inspection with Structured Light Scanner

With the recent rapid advances in technology, the use of 3D scanning systems in the engineering world has become more and more prevalent thanks to the ease of use, the improved data collection process, and the increase in the accuracy of the acquired data. During the rebuilding of the Tisza bridge on the M4 motorway, the contractor discovered that the plates used to build the steel superstructure had developed corrosion damage during several years of storage. Plates with a tolerable level of corrosion were intended to be used, but the question was how the increased surface roughness will affect the fatigue life of the plates and the welded steel fabrications made from the plates. As part of this test, fatigue specimens were measured from the material to be used for the bridge and welded with two different geometries with the help of a structured light 3D scanner (SLS scanner). This paper discusses the measurement and inspection of these steel specimens of a highway bridge, before and after the fatigue test of the parts. From the acquired data we examined defects on the surface of the parts, physical deformations by comparing measured data to a CAD model and calculated the amount of material which was lost during stress testing

OpenCRG models from different data sources to support vehicle simulations

Digital twins of road surfaces support multiple engineering applications. Remote sensing technologies provide information from the entire surface of the pavement by high accuracy point clouds. Pavement errors and differences from designed geometry can be detected and assessed using such datasets, while OpenCRG models derived from point clouds support transportation applications. High-resolution CRG (Curved Regular Grid) models enable analyzing vehicle suspension systems in vehicle dynamics simulation environments. Furthermore, such models also support creating the digital twins of vehicle suspensions and improve the development and research of models related to vehicle dynamics. The paper presents how the suspension digital twin was obtained applying a genetic algorithm and how it was assessed. The quality of raw data and that of the derived methods are analyzed in the case of multiple mapping technologies (terrestrial, mobile, and aerial laser scanning). CRG models were created from all datasets, and their applicability was investigated to support vehicle simulations with high accuracy demand. Other important vehicle-related use cases are also mentioned in the paper