There exist several studies in the literature which have shown the potentiality offered by certain vibration-based techniques aimed at detecting damage in structural systems. In all these existing techniques noise (distributed and/or outliers) plays a significant role and can make the difference between a successful or an unsuccessful application. In spite of such a mentioned remarkable influence, the studies aimed at investigating the influence of noise on the success of the techniques are not as rich in experimental details as they are in numerical simulations. In this work an extensive set of experiments aimed at evaluating the feasibility of certain diagnosing techniques is provided. This work should also be considered as the experimental validation of certain analytical and numerical simulations carried out in the past [Gentile, A., Messina, A., 2003. On the continuous wavelet transforms applied to discrete vibrational data for detecting open cracks in damaged beams. International Journal of Solids and Structures 40, 295-315;Messina, A., 2004. Detecting damage in beams through digital differentiator filters and continuous wavelet transforms. Journal of Sound and Vibration 272, 385-412] within the frame of real measurements based on a particular laser technology; in addition, the mentioned validating experiments illustrate certain peculiarities not shown in the past, and, finally, valuable benchmarks are provided for testing future diagnosing techniques in numerical simulations. The experimental set-up consists of both commercial and electronic circuits appropriately designed and realized, whose significance, in the measuring system is accurately described in order to increase the signal/noise ratio of the dynamical measurements.
Metaheuristic algorithms currently represent the standard approach to engineering optimization. A very challenging field is large-scale structural optimization, entailing hundreds of design variables and thousands of nonlinear constraints on element stresses and nodal displacements. However, very few studies documented the use of metaheuristic algorithms in large-scale structural optimization. In order to fill this gap, an enhanced hybrid harmony search (HS) algorithm for weight minimization of large-scale truss structures is presented in this study. The new algorithm, Large-Scale Structural Optimization–Hybrid Harmony Search JAYA (LSSO-HHSJA), developed here, combines a well-established method like HS with a very recent method like JAYA, which has the simplest and inherently most powerful search engine amongst metaheuristic optimizers. All stages of LSSO-HHSJA are aimed at reducing the number of structural analyses required in large-scale structural optimization. The basic idea is to move along descent directions to generate new trial designs, directly through the use of gradient information in the HS phase, indirectly by correcting trial designs with JA-based operators that push search towards the best design currently stored in the population or the best design included in a local neighborhood of the currently analyzed trial design. The proposed algorithm is tested in three large-scale weight minimization problems of truss structures. Optimization results obtained for the three benchmark examples, with up to 280 sizing variables and 37,374 nonlinear constraints, prove the efficiency of the proposed LSSO-HHSJA algorithm, which is very competitive with other HS and JAYA variants as well as with commercial gradient-based optimizers.
Peri-implant bone resorption has been reported around some implants after loading, which could create problems for the peri-implant soft and hard tissues’ long-term stability. The reasons for this are still not known. However, relevant importance could be given to this due to the presence of a bacterial contamination at the micro-gap level between implant and abutment. In this regard, external and internal implant–abutment assemblies have been shown to be much more permeable to bacterial colonization than Cone-Morse or conical connections. The placement of a subcrestal implant could have aesthetic advantages, therefore allowing a better prosthetic emergence profile. In literature, controversial experimental and clinical results have been reported on bone resorption around implants placed equicrestally and subcrestally. Interestingly, Finite Element Analysis (FEA) studies revealed to be extremely useful for assessing the peri-implant bone strain and stress. Thus, this study conducted a FEA evaluation of implants with a Cone-Morse implant–abutment assembly inserted into a bone block model mimicking equicrestal (0 mm) and subcrestal placements (−1 and −2 mm). Results demonstrated that maximum stresses were observed in the cortical bone around equicrestally placed implants, with the lowest in the 2 mm subcrestally placed implant and intermediate stresses within the 1 mm subcrestally placed implant. The cortical bone resulted more stressed under lateral loads than axial loads. In conclusion, this FEA study suggested a subcrestal implant placement ranging between −1 and −2 mm to obtain an adequate peri-implant stress pattern.
This article presents a very detailed study on the mechanical characterization of a highly nonlinear material, the immature equine zona pellucida (ZP) membrane. The ZP is modeled as a visco-hyperelastic soft matter. The Arruda–Boyce constitutive equation and the two-term Prony series are identified as the most suitable models for describing the hyperelastic and viscous components, respectively, of the ZP’s mechanical response. Material properties are identified via inverse analysis based on nonlinear optimization which fits nanoindentation curves recorded at different rates. The suitability of the proposed approach is fully demonstrated by the very good agreement between AFM data and numerically reconstructed force–indentation curves. A critical comparison of mechanical behavior of two immature ZP membranes (i.e., equine and porcine ZPs) is also carried out considering the information on the structure of these materials available from electron microscopy investigations documented in the literature.
The aim of biomechanics applied to implantology is to determine the deformative and tensional states by solving the equilibrium equations within the mandibular bone and the osseointegrated implant to ensure its stability and improve the success rate. The finite element method is a powerful numerical technique that uses computing power to derive approximate solutions for the analysis of components with very complex geometry, loads, materials, and especially the biomechanical problems analysis, which is challenging to find in vivo or in vitro. This study performs a complete FEA survey on 3 implants Cono-in with 3 different diameters 3.4 mm, 4.5 mm, and 5.2 mm with abutments inclined to 15° and evaluates the tensions that are generated in the system as a result of the application of chewing loads. In this study, the extent of the stresses developed in the peri-crestal zone of the implants with the variation of the occlusal overstress acting on them was also evaluated. Autodesk Inventor Nastran Software was used to perform this type of localized finite element analysis; With this type of analysis, it was possible to analyze the peri-crestal area of the implant more precisely through a more accurate reconstruction of the mesh element, which allowed us to solve the FEA solution mathematically. The results showed how the application of the inclined load with respect to the vertical load on a larger diameter system leads to an increase in stress.
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