Development of in vitro methods to test acetabular prosthetic reconstructions (messa a punto di metodi in vitro per la caratterizzazione biomeccanica di ricostruzioni acetabolari)

The revision hip arthroplasty is a surgical procedure, consisting in the reconstruction of the hip joint through the replacement of the damaged hip prosthesis. Several factors may give raise to the failure of the artificial device: aseptic loosening, infection and dislocation represent the principal causes of failure worldwide. The main effect is the raise of bone defects in the region closest to the prosthesis that weaken the bone structure for the biological fixation of the new artificial hip. For this reason bone reconstruction is necessary before the surgical revision operation. This work is born by the necessity to test the effects of bone reconstruction due to particular bone defects in the acetabulum, after the hip prosthesis revision. In order to perform biomechanical in vitro tests on hip prosthesis implanted in human pelvis or hemipelvis a practical definition of a reference frame for these kind of bone specimens is required. The aim of the current study is to create a repeatable protocol to align hemipelvic samples in the testing machine, that relies on a reference system based on anatomical landmarks on the human pelvis. In chapter 1 a general overview of the human pelvic bone is presented: anatomy, bone structure, loads and the principal devices for hip joint replacement. The purpose of chapters 2 is to identify the most common causes of the revision hip arthroplasty, analysing data from the most reliable orthopaedic registries in the world. Chapter 3 presents an overview of the most used classifications for acetabular bone defects and fractures and the most common techniques for acetabular and bone reconstruction. After a critical review of the scientific literature about reference frames for human pelvis, in chapter 4, the definition of a new reference frame is proposed. Based on this reference frame, the alignment protocol for the human hemipelvis is presented as well as the statistical analysis that confirm the good repeatability of the method.

Application of numerical methods to earthquake stability assessment of slopes

Questo documento descrive gran parte del lavoro svolto durante un periodo di studio di sei mesi all’International Centre for Geohazards (ICG) di Oslo. Seguendo la linea guida dettata nel titolo, sono stati affrontati diversi aspetti riguardanti la modellazione numerica dei pendii quali l’influenza delle condizioni al contorno e delle proporzioni del modello, la back-analysis di eventi di scivolamento e l’applicazione delle analisi di stabilità monodimensionali. La realizzazione di semplici modelli con il programma agli elementi finiti PLAXIS (Brinkgreve et al., 2008) ha consentito di analizzare le prestazioni dei modelli numerici riguardo all’influenza delle condizioni al contorno confrontandoli con un calcolo teorico del fattore di amplificazione. Questa serie di test ha consentito di stabilire alcune linee guida per la realizzazione di test con un buon livello di affidabilità. Alcuni case-history, in particolare quello di Las Colinas (El Salvador), sono stati modellati allo scopo di applicare e verificare i risultati ottenuti con i semplici modelli sopracitati. Inoltre sono state svolte analisi di sensitività alla dimensione della mesh e ai parametri di smorzamento e di elasticità. I risultati hanno evidenziato una forte dipendenza dei risultati dai parametri di smorzamento, rilevando l’importanza di una corretta valutazione di questa grandezza. In ultima battuta ci si è occupati dell’accuratezza e dell’applicabilità dei modelli monodimensionali. I risultati di alcuni modelli monodimensionali realizzati con il software Quiver (Kaynia, 2009) sono stati confrontati con quelli ottenuti da modelli bidimensionali. Dal confronto è risultato un buon grado di approssimazione accompagnato da un margine di sicurezza costante. Le analisi monodimensionali sono poi state utilizzate per la verifica di sensitività. I risultati di questo lavoro sono qui presentati e accompagnati da suggerimenti qualitativi e quantitativi per la realizzazione di modelli bidimensionali affidabili. Inoltre si descrive la possibilità di utilizzare modelli monodimensionali in caso d’incertezze sui parametri. Dai risultati osservati emerge la possibilità di ottenere un risparmio di tempo nella realizzazione di importanti indagini di sensitività.

Safety factors in sheet pile wall design: considerations by using traditional methods and FEM analysis

The purpose of the work is: define and calculate a factor of collapse related to traditional method to design sheet pile walls. Furthermore, we tried to find the parameters that most influence a finite element model representative of this problem. The text is structured in this way: from chapter 1 to 5, we analyzed a series of arguments which are usefull to understanding the problem, while the considerations mainly related to the purpose of the text are reported in the chapters from 6 to 10. In the first part of the document the following arguments are shown: what is a sheet pile wall, what are the codes to be followed for the design of these structures and what they say, how can be formulated a mathematical model of the soil, some fundamentals of finite element analysis, and finally, what are the traditional methods that support the design of sheet pile walls. In the chapter 6 we performed a parametric analysis, giving an answer to the second part of the purpose of the work. Comparing the results from a laboratory test for a cantilever sheet pile wall in a sandy soil, with those provided by a finite element model of the same problem, we concluded that:in modelling a sandy soil we should pay attention to the value of cohesion that we insert in the model (some programs, like Abaqus, don’t accept a null value for this parameter), friction angle and elastic modulus of the soil, they influence significantly the behavior of the system (structure-soil), others parameters, like the dilatancy angle or the Poisson’s ratio, they don’t seem influence it. The logical path that we followed in the second part of the text is reported here. We analyzed two different structures, the first is able to support an excavation of 4 m, while the second an excavation of 7 m. Both structures are first designed by using the traditional method, then these structures are implemented in a finite element program (Abaqus), and they are pushed to collapse by decreasing the friction angle of the soil. The factor of collapse is the ratio between tangents of the initial friction angle and of the friction angle at collapse. At the end, we performed a more detailed analysis of the first structure, observing that, the value of the factor of collapse is influenced by a wide range of parameters including: the value of the coefficients assumed in the traditional method and by the relative stiffness of the structure-soil system. In the majority of cases, we found that the value of the factor of collapse is between and 1.25 and 2. With some considerations, reported in the text, we can compare the values so far found, with the value of the safety factor proposed by the code (linked to the friction angle of the soil).

Regularization methods for the solution of a nonlinear least-squares problem in tomography

In this work we study a polyenergetic and multimaterial model for the breast image reconstruction in Digital Tomosynthesis, taking into consideration the variety of the materials forming the object and the polyenergetic nature of the X-rays beam. The modelling of the problem leads to the resolution of a high-dimensional nonlinear least-squares problem that, due to its nature of inverse ill-posed problem, needs some kind of regularization. We test two main classes of methods: the Levenberg-Marquardt method (together with the Conjugate Gradient method for the computation of the descent direction) and two limited-memory BFGS-like methods (L-BFGS). We perform some experiments for different values of the regularization parameter (constant or varying at each iteration), tolerances and stop conditions. Finally, we analyse the performance of the several methods comparing relative errors, iterations number, times and the qualities of the reconstructed images.