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In the use of implants, a particularly important role is played by the instrumentation. It is primarily designed to fulfill its functional role. During its design phase, an important step is the strength verification calculation. For this, frequently a finite element method analysis realized with one of the established software is used. In the present work, a verification of the component identified as the most stressed is performed for the critical areas in terms of stresses.

The increasing adoption of unmanned platforms in sectors such as defense, agriculture, and logistics highlights critical challenges, including traversal capability and collision resistance in unstructured terrain. This study investigates the crashworthiness of the developed TAERO UGV using finite element method (FEM) analysis. The structural components critical to collision energy absorption were identified and analyzed. Descriptions of the LS-DYNA simulation model, material properties, and boundary conditions are provided. The primary objective was to numerically assess the bumper performance during impact, considering the operational speeds and crumple zone of the vehicle. An optimized numerical model was introduced to efficiently simulate vehicle collisions, focusing on key structural elements. Various scenarios were simulated to examine deformation, stress distribution, and bumper behaviour. Presented numerical analysis indicates that impacts with typical obstacles, like tree trunks in unstructured terrain, cause minimal damage, not affecting the operational vehicle capability. Minor bumper damage, such as dents, vary and are more noticeable at higher speeds, while almost imperceptible up to 25 km/h. Stress distribution highlights the role of side components in energy absorption and structural deformation. The results confirm the structural integrity of the vehicle and provide valuable data on its operation performance in complex environments during specialized missions.

The Tangential ring acoustic transducer is one of the most concerned transducers for its advantages in production and performance. In this paper, we established a properly partitioned and finely meshed FEM model to illustrate the effects of tiny scale geometrical errors. The FEM discretization error is suppressed by the finely built mesh, allowing a precise analysis on the small impacts of radical random and elliptical geometrical errors on the tangential ring transducer. Conclusions could be made that the errors contribute little to the acoustic performance including transmitting voltage response (TVR) and directionality, however; the stressed zone is enlarged obviously by both kinds of geometrical errors due to stress concentration, which may affect the strength and maximum power available of the transducer.

This work examines the performance of glass-fiber-reinforced polymer (GFRP) shear connectors within concrete composite beams with attention to their mechanics and wider applications for sustainable structures. Beyond comparing two different connector geometries, the work broadens to cover their suitability for cyclical loading, long-term deflection, and structural fatigue exposure. By drawing on both experimental push-out testing and numerical simulation using the finite element method (FEM), the research provides a rich picture of GFRP-based joint mechanics. The analysis further delineates recommendations for long-term use of GFRP members of civil applications with a focus on design optimization, benefit-cost ratios, and resistance to corrosion. These findings form the basis for next generation building material aimed at lowering maintenance costs and carbon impacts.

The work deals with the parametric generation of datasets, which are used for creation of reduced order models (ROM) of rubber-metal elements (RME). First chapter describes the standard development process and advantages of implementing ROM into this process. Furthermore, it explains the role of input dataset for creating ROM, possibilities for achieving sufficient accuracy of ROM and advantages of utilization of procedures for model creation, simulation and results extraction. The second chapter describes the whole process of dataset generation from static FEM analysis, starting with the procedures creation and subsequently their utilization for automatic creation, simulation and results extraction of many FEM models of RME with various shape variants, which aim is to speed up the development process and make it less laborious. The third chapter is dedicated to description of the whole process of dataset generation from dynamic FEM analysis. This chapter has got similar structure as previous chapter, however, there are some differences, on which this chapter focuses. The fourth chapter concludes all the results from static and dynamic FEM simulations for dataset creation.

Structural health monitoring (SHM) has attracted significant attention over the past two decades due to its ability to provide real-time insight into the condition of structures. Despite the development of several SHM systems for long-span bridges, which play a crucial role in the assessment of these structures, studies focusing on short- or middle-span bridges remain scarce. This research paper presents an efficient and practical bridge monitoring and warning system established on a middle-span bridge, a key crossroad bridge located in Shenzhen. The monitoring system consists of sensors and measuring points that collect a substantial amount of data, enabling the close monitoring of various operational indicators to facilitate the early detection of threshold exceedances. Based on this system, the subtle condition of the bridge can be evaluated, and the operational condition of the bridge can be studied through the comparative analysis of the collected data. Over four months of monitoring, data including the strain and creep of the main beam, the strain and settlement of piers and the crack width of the bridge body are observed. Furthermore, the real-time operational status of the bridge is analyzed and evaluated through the combination of the collected data and the structural finite element model.

In the contemporary landscape of wind energy, low-speed wind turbine technology has gained prominence for its ability to harness continuous power even in conditions of minimal wind velocity. Effective design methodologies are crucial for optimizing the conversion of low-speed wind energy, particularly concerning the Permanent Magnet Generator (PMG) component. Radial Flux Permanent Magnet Generators (RFPMGs) have traditionally been utilized in low-speed wind turbines. However, they are associated with certain drawbacks that can hamper the overall performance of the wind energy conversion system. In response, there is a growing interest in exploring alternative solutions, with Axial Flux Permanent Magnet Generators (AFPMGs) emerging as promising contenders for replacing RFPMGs and overcoming their limitations. This paper introduces a design methodology for a Double-Sided Slotted Axial Flux PMG (DSAFPMGs), aiming to address the shortcomings of RFPMGs. The machine model is developed in the Ansys Maxwell and finite element analysis of machine is perfomed using Altair Flux software packages. A comparative analysis between RFPMG and DSAFPMG is presented, highlighting the advantages of the latter. Furthermore, the efficacy of the proposed 300 W DSAFPMGs is evaluated by comparing it with existing single-sided AFPMGs. Various performance metrics such as magnetic flux distribution, generated voltage, armature current, solid loss, torque production, and efficiency under rated load and speed conditions are assessed to validate the superiority of the proposed design.

Artistic, architectural and Cultural Heritage (CH) structures are often exposed to a high risk of damage caused by seismic events, natural disasters and more by negligence and poor state of preservation and conservation; the use of a series of technologies, based on digital acquisition and high-level data processing, allows the realisation of a three-dimensional model of high detail. In order to preserve structures of particular historical and architectural value, it is necessary to assess their structural stability. In addition, many structures, such as statues, have rather complex geometries. Therefore, it is necessary to identify a methodology able to transform the point cloud generated through a geomatics approach into a model suitable for FEM (Finite Element Analysis) analysis. This process, known as Scan to FEM, is addressed in this paper. The paper shows the case study of the “Colossus of Barletta”, a bronze statue dating back to the 5th century A.D. located in the city of Barletta, Italy. To analyse this structure, a suitable methodology has been developed which is based on the optimisation of the surface model of the structure; in this way, it is possible to obtain an efficient transformation from a digital photogrammetric model with complex geometry into a model suitable for structural finite element analysis. The digital photogrammetry technique was applied for the survey of the structure, which allowed us to obtain a very high-resolution dense point cloud and a geometrically accurate three-dimensional mesh model, i.e., in a TIN (Triangulated Irregular Network) model. Subsequently, the TIN was transformed into a quad mesh model (identifying a suitable reduction value) and finally into NURBS (Non-Uniform Rational Basis-Splines) to be optimised and imported into a finite element calculation software. This geomatics approach has validated an efficient Scan to FEM process; in fact, thanks to this methodology, it is possible to elaborate three-dimensional models with complex geometry and draw a series of considerations related to structural behaviour or specific restoration interventions.

Understanding the complex phenomena of interactions between the elements of a combined piled raft foundation (CPRF) is essential for the proper design of such foundations. To evaluate the effects of mutual influence among the CPRF’s elements, a series of long-term measurements of selected physical quantities related to the performance of the foundation were conducted on a building with a frame structure, stiffening walls, and monolithic technology, consisting of seven aboveground stories and one underground story. The analysis distinguishes the real deformations resulting from temperature changes and from stress strains resulting from load changes. The two types of deformations were subjected to further interpretation of only changes in the stress and strain over time. Changes in stress values in the subsoil, as well as strain measurements in the vertical direction of concrete columns, were recorded to assess the load distribution between the CPRF’s components. The numerical analysis results obtained for a fragment of the monitored foundation were compared with actual measurement results to verify the numerical model of interaction between the structure and the soil. Field monitoring and FEA methods were used to compare the long-term deformation analysis, and they helped to minimize the monitoring time. This comparison also served to supplement and simultaneously expand the dataset of test results on a real-world scale.

The necessity to improve the energy saving potential of buildings is now a duty. European and national policies are being implemented to address the important decisions being made on this subject. For these reasons, several studies focus on this relevant topic. This paper review not only focusses on it but studies it in-depth. A commercial 3D simulation software was used to design a building sited in Palermo estimating the thermal losses before and after external envelope insulation. In particular, all the thermal bridges (TBs) were analysed with the finite element method (FEM) and mitigated with rock wool insulation. The paper shows the linear thermal transmittance difference and heat flux loss before and after TB mitigation. The results confirm the importance of installing an external insulation layer in the old building envelope. The linear thermal transmittance of TBs and the associated heat flux loss often decrease by more than 50%.