Ottimizzazione strutturale di specchi per applicazioni spaziali tramite l'utilizzo di reti neurali

La tesi dimostra la possibilità di ottimizzare la struttura di specchi per applicazioni spaziali in termini di diametro esterno, diametro interno, spessore ed altezza della struttura di sostegno in honeycomb. Attraverso un processo trial and error si riesce ad ottenere la rete neurale adatta alla particolare applicazione, con errori contenuti ed applicabilità universale; la tesi ha quindi carattere generale, nonostante sia stato lo Zerodur, materiale comunemente adottato per tali scopi.ope

REFINET: A new era for the sustainable development of Transport infrastructures networks in Europe

The main objective or the REFINET Coordination and Support Action has been about identifying research and innovation needs and supporting the mass-market deployment of existing innovative technologies, such as materials, components, systems and processes to support the modernisation of the European Transport Infrastructure using a multimodal approach to support investment decisions. To achieve its objectives, REFINET has in particular developed solutions enabling infrastructures decision-makers (e.g. Public Bodies, Ministries, the European Commission, Infrastructure Managers and Operators, etc.) to carry out an integrated evaluation, selection of projects and programs and monitoring them. This paper introduces to the main outcomes of REFINET, in particular the REFINET multi-modal transport infrastructure model, vision and Strategic Implementation Plan for research and innovation priorities.The authors wish to acknowledge the financial support of the European Commission under the H2020 programme, and are grateful to the REFINET Consortium partners, namely Fundación TECNALIA, D'Appolonia S.p.A., FEHRL, UIC, Fundación Plataforma Tecnológica Española de Construccion, DRAGADOS SA, CSTB and Ove Arup & Partners International Limited

Resilience of Infrastructures and Systems to Multiple Hazardous Events: Application Cases and Future Perspectives

Nowadays, Critical Infrastructure and Systems are getting more and more interconnected, while facing increasing and more intensive hazards: from man-made to natural ones, including those exacerbated by effects of the climate change. The demand for their robustness and resiliency against all these threats is finding ground to organizations’ or states’ ambitions and policies. The paper focuses on a review from an engineering perspective of past efforts and more importantly provides evidence of application cases the authors have developed in the past years. Finally, an outlook on future perspectives and potentials in the application of resilience is provided

Framing a satellite based asset tracking (SPARTACUS) within smart city technology

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Towards a Comprehensive Asset Integrity Management (AIM) Approach for European Infrastructures

Abstract Transport infrastructure is the backbone of national economies, providing connections for people and goods, access to jobs and services, and enabling trade and economic growth. It is of paramount importance to preserve, maintain and upgrade the infrastructure network so that to sustain the economic growth and an intelligent mobility. Asset Integrity Management (AIM) approaches will therefore represent key tools for facing the infrastructure maintenance issue and for tackling the ageing that characterize already existing assets. This paper, starting from analyzing the current state of the art solutions in assets management (Enevoldsen, I., 2008), proposes a comprehensive AIM approach that aims at replacing current time-based approaches with a performance-based approach that can systematically take into account the dynamic nature of the transport network. This means moving from a deterministic to a probabilistic approach in design, rehabilitation and retrofitting of infrastructures for increasing life-time and reducing maintenance costs. Such approach therefore laid the basis of secure sustainable impact since by improving awareness and reducing uncertainties, it might allow achieving an optimal balance among available resources and planning of investments

Conflict-resilience framework for critical infrastructure peacebuilding

Apart from security issues, war-torn societies and countries face immense challenges in rebuilding damaged critical infrastructure. Existing post-conflict recovery frameworks mainly focus on social impacts and mitigation. Also, existing frameworks for resilience to natural hazards are mainly based on design and intervention, yet, they are not fit for post-conflict infrastructure recovery for a number of reasons explained in this paper. Post-conflict peacebuilding can be enhanced when resilience by assessment (RBA) is employed, using standoff observations that include data from disparate remote-sensing sources, e.g. public satellite imagery, forensics and crowdsourcing, collected during the conflict. This paper discusses why conflicts and warfare require a new framework for achieving post-conflict infrastructure resilience. It then introduces a novel post-conflict framework that includes different scales of resilience with a focus on asset and regional resilience. It considers different levels of knowledge, with a focus on standoff observations and data-driven assessments to facilitate prioritisation during reconstruction. The framework is then applied to the transport network of the area west of Kyiv, Ukraine to demonstrate how resilience by assessment can support decision-makers, such as governments and multilateral financial institutions, to address infrastructure needs and accelerate financial and humanitarian assistance, absorb shocks and maximise infrastructure recovery after conflict

Particle swarm optimization with sequential niche technique for dynamic finite element model updating

Peer reviewedPostprin

Validation Strategy as a Part of the European Gas Network Protection

The European gas network currently includes approximately 200,000 km high pressure transmission and distribution pipelines. The needs and requirements of this network are focused on risk-based security asset management, impacts and cascading effects of cyber-physical attacks on interdependent and interconnected European Gas grids. The European SecureGas project tackles these issues by implementing, updating, and incrementally improving extended components, which are contextualized, customized, deployed, demonstrated and validated in three business cases, according to scenarios defined by the end-users. Just validation is considered to be a key end activity, the essence of which is the evaluation of the proposed solution to determine whether it satisfies specified requirements. Therefore, the chapter deals with the validation strategy that can be implemented for the verification of these objectives and evaluation of technological based solutions which aim to strengthen the resilience of the European gas network

A hysteretic multiscale formulation for nonlinear dynamic analysis of composite materials

This article has been made available through the Brunel Open Access Publishing Fund.A new multiscale finite element formulation is presented for nonlinear dynamic analysis of heterogeneous structures. The proposed multiscale approach utilizes the hysteretic finite element method to model the microstructure. Using the proposed computational scheme, the micro-basis functions, that are used to map the microdisplacement components to the coarse mesh, are only evaluated once and remain constant throughout the analysis procedure. This is accomplished by treating inelasticity at the micro-elemental level through properly defined hysteretic evolution equations. Two types of imposed boundary conditions are considered for the derivation of the multiscale basis functions, namely the linear and periodic boundary conditions. The validity of the proposed formulation as well as its computational efficiency are verified through illustrative numerical experiments

Water Distribution System Computer-Aided Design by Agent Swarm Optimization

Optimal design of water distribution systems (WDS), including the sizing of components, quality control, reliability, renewal and rehabilitation strategies, etc., is a complex problem in water engineering that requires robust methods of optimization. Classical methods of optimization are not well suited for analyzing highly-dimensional, multimodal, non-linear problems, especially given inaccurate, noisy, discrete and complex data. Agent Swarm Optimization (ASO) is a novel paradigm that exploits swarm intelligence and borrows some ideas from multiagent based systems. It is aimed at supporting decisionmaking processes by solving multi-objective optimization problems. ASO offers robustness through a framework where various population-based algorithms co-exist. The ASO framework is described and used to solve the optimal design of WDS. 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