Computational Methods for Identification of Vibrating Structures

System identification deals with the problem of building mathematical models of dynamical systems based on observed data from the system" [1]. In the context of civil engineering, the system refers to a large scale structure such as a building, bridge, or an offshore structure, and identification mostly involves the determination of modal parameters (the natural frequencies, damping ratios, and mode shapes). This paper presents some modal identification results obtained using a state-of-the-art time domain system identification method (data-driven stochastic subspace algorithms [2]) applied to the output-only data measured in a steel arch bridge. First, a three dimensional finite element model was developed for the numerical analysis of the structure using ANSYS. Modal analysis was carried out and modal parameters were extracted in the frequency range of interest, 0-10 Hz. The results obtained from the finite element modal analysis were used to determine the location of the sensors. After that, ambient vibration tests were conducted during April 23-24, 2009. The response of the structure was measured using eight accelerometers. Two stations of three sensors were formed (triaxial stations). These sensors were held stationary for reference during the test. The two remaining sensors were placed at the different measurement points along the bridge deck, in which only vertical and transversal measurements were conducted (biaxial stations). Point estimate and interval estimate have been carried out in the state space model using these ambient vibration measurements. In the case of parametric models (like state space), the dynamic behaviour of a system is described using mathematical models. Then, mathematical relationships can be established between modal parameters and estimated point parameters (thus, it is common to use experimental modal analysis as a synonym for system identification). Stable modal parameters are found using a stabilization diagram. Furthermore, this paper proposes a method for assessing the precision of estimates of the parameters of state-space models (confidence interval). This approach employs the nonparametric bootstrap procedure [3] and is applied to subspace parameter estimation algorithm. Using bootstrap results, a plot similar to a stabilization diagram is developed. These graphics differentiate system modes from spurious noise modes for a given order system. Additionally, using the modal assurance criterion, the experimental modes obtained have been compared with those evaluated from a finite element analysis. A quite good agreement between numerical and experimental results is observed.

Induction of through-thickness compressive residual stress fields in thin Al2024-T351 plates by laser shock processing

Laser Shock Processing (LSP) has been demonstrated as an emerging technique for the induction of RS’s fields in subsurface layers of relatively thick specimens. However, the LSP treatment of relatively thin specimens brings, as an additional consequence, the possible bending in a process of laser shock forming. This effect poses a new class of problems regarding the attainment of specified RS’s depth profiles in the mentioned type of sheets, and, what can be more critical, an overall deformation of the treated component. The analysis of the problem of LSP treatment for induction of tentatively through-thickness RS’s fields for fatigue life enhancement in relatively thin sheets in a way compatible with reduced overall workpiece deformation due to spring-back self-equilibration is envisaged in this paper. The coupled theoretical-experimental predictive approach developed by the authors has been applied to the specification of LSP treatments for achievement of RS's fields tentatively able to retard crack propagation on normalized specimens. A convergence between numerical code results and experimental results coming from direct RS's measurement is presented as a first step for the treatment of the normalized specimens under optimized conditions and verification of the crack retardation properties virtually induced.

Promotion of intangible heritage as a tool to strengthen revitalisation of historic centres: the case of de Monumenta Programme in the City of Porto Alegre (Rio Grande do Sul State) Brazil

The preservation of tangible cultural heritage does not guarantee effective revitalisation of urban historic areas as a whole. The legacy of our history consists not only of paintings, sculptures, architectural monuments and public spaces, but also the safeguarding of immaterial aspects of social life, such as oral traditions, rituals, practices, knowledge and craft skills. From 1999 to 2013, 26 Brazilian cities benefited from the Monumenta Programme - a national cultural policy that involved institutions, the private sector and the local community. The purpose of the programme was to stimulate economic growth and increase cultural and social development of the historic centres. Moreover, it sought to increase the number of residents in the benefited areas as defined in its agenda (IDB, 1999; MinC & Programa Monumenta, 2006). Using the Historic Centre of Porto Alegre as a case study, this paper examines how this cultural programme enables demographic change through the promotion of intangible cultural heritage, e.g. by supporting educational projects. The demographic flow was analysed using the microdata of the Populations Censuses (years 2000 and 2010) available from the Brazilian Institute of Geography and Statistics. The results showed an increase in low-income residents the areas that participated in the programme. This increase may have been motivated by a set of cultural-educational projects under the auspices of the Monumenta Programme. The retraining of artisans of Alfândega Square, the training of low-income youth for restoration work and the implementation of the "Black Route Museum in Porto Alegre" (Bicca, 2010) are just some examples of what was done to improve the local community's economy, to encourage social cohesion and to enhance the awareness of cultural diversity as a positive and essential value in society.