ABSTRACT Complex structural systems like long suspension bridges, are exposed to various external... more ABSTRACT Complex structural systems like long suspension bridges, are exposed to various external loads such as traffic-induced and wind-induced during their service life. These structures may deteriorate and degrade with time, something that may lead to structural failures causing costly repairs and, even, loss of human lives. To ensure safety and to minimize financial loss, damage detection becomes important so that remedial works can be carried out as early as possible.
The design of complex structures should be based on advanced approaches able to take into account... more The design of complex structures should be based on advanced approaches able to take into account the behavior of the constructions during their entire life-cycle. Moreover, an effective design method should consider that the modern constructions are usually complex systems, characterized by strong interactions among the single components and with the design environment. A modern approach, capable of adequately considering these issues, is the so-called performance-based design (PBD). In order to profitably apply this design philosophy, an effective framework for the evaluation of the overall quality of the structure is needed; for this purpose, the concept of dependability can be effectively applied. In this context, structural health monitoring (SHM) assumes the essential role to improve the knowledge on the structural system and to allow reliable evaluations of the structural safety in operational conditions. SHM should be planned at the design phase and should be performed during the entire life-cycle of the structure. In order to deal with the large quantity of data coming from the continuous monitoring various processing techniques exist. In this work different approaches are discussed and in the last part two of them are applied on the same dataset. It is interesting to notice that, in addition to this first level of knowledge, structural health monitoring allows obtaining a further more general contribution to the design knowledge of the whole sector of structural engineering. Consequently, SHM leads to two levels of design knowledge gain: locally, on the specific structure, and globally, on the general class of similar structures.
ABSTRACT Offshore Wind Turbine (OWT) requires demanding and costly support structures. The concep... more ABSTRACT Offshore Wind Turbine (OWT) requires demanding and costly support structures. The conception, the design and the assessment of this kind of construction must consider several interacting and controversial aspects: there is a harsh design environment, relatively wide spectrum functional requirements, and exceptional scenarios. In fact, different aspects and various performances under several load conditions have to be investigated for this type of structures.
SUMMARY In recent years, neural network models have been widely used in the Civil Engineering fie... more SUMMARY In recent years, neural network models have been widely used in the Civil Engineering field. Interesting enhancements may be obtained by re-examining this model from the Bayesian probability logic viewpoint. Using this approach, it will be shown that the conventional regularized learning approach can be derived as a particular approximation of the Bayesian framework. Network training is only a first level where Bayesian inference can be applied to neural networks.
A double-step procedure, using in-sequence neural networks (ANN) has been considered for the stat... more A double-step procedure, using in-sequence neural networks (ANN) has been considered for the state identification of a long span suspension bridge. It enables the management to detect and localize damage, and arrange timely intervention by processing the response under wind and traffic scenarios of ordinary service.
ABSTRACT Complex structural systems like long suspension bridges, are exposed to various external... more ABSTRACT Complex structural systems like long suspension bridges, are exposed to various external loads such as traffic-induced and wind-induced during their service life. These structures may deteriorate and degrade with time, something that may lead to structural failures causing costly repairs and, even, loss of human lives. To ensure safety and to minimize financial loss, damage detection becomes important so that remedial works can be carried out as early as possible.
The design of complex structures should be based on advanced approaches able to take into account... more The design of complex structures should be based on advanced approaches able to take into account the behavior of the constructions during their entire life-cycle. Moreover, an effective design method should consider that the modern constructions are usually complex systems, characterized by strong interactions among the single components and with the design environment. A modern approach, capable of adequately considering these issues, is the so-called performance-based design (PBD). In order to profitably apply this design philosophy, an effective framework for the evaluation of the overall quality of the structure is needed; for this purpose, the concept of dependability can be effectively applied. In this context, structural health monitoring (SHM) assumes the essential role to improve the knowledge on the structural system and to allow reliable evaluations of the structural safety in operational conditions. SHM should be planned at the design phase and should be performed during the entire life-cycle of the structure. In order to deal with the large quantity of data coming from the continuous monitoring various processing techniques exist. In this work different approaches are discussed and in the last part two of them are applied on the same dataset. It is interesting to notice that, in addition to this first level of knowledge, structural health monitoring allows obtaining a further more general contribution to the design knowledge of the whole sector of structural engineering. Consequently, SHM leads to two levels of design knowledge gain: locally, on the specific structure, and globally, on the general class of similar structures.
ABSTRACT Offshore Wind Turbine (OWT) requires demanding and costly support structures. The concep... more ABSTRACT Offshore Wind Turbine (OWT) requires demanding and costly support structures. The conception, the design and the assessment of this kind of construction must consider several interacting and controversial aspects: there is a harsh design environment, relatively wide spectrum functional requirements, and exceptional scenarios. In fact, different aspects and various performances under several load conditions have to be investigated for this type of structures.
SUMMARY In recent years, neural network models have been widely used in the Civil Engineering fie... more SUMMARY In recent years, neural network models have been widely used in the Civil Engineering field. Interesting enhancements may be obtained by re-examining this model from the Bayesian probability logic viewpoint. Using this approach, it will be shown that the conventional regularized learning approach can be derived as a particular approximation of the Bayesian framework. Network training is only a first level where Bayesian inference can be applied to neural networks.
A double-step procedure, using in-sequence neural networks (ANN) has been considered for the stat... more A double-step procedure, using in-sequence neural networks (ANN) has been considered for the state identification of a long span suspension bridge. It enables the management to detect and localize damage, and arrange timely intervention by processing the response under wind and traffic scenarios of ordinary service.
Corso di formazione:
LA PROGETTAZIONE STRUTTURALE ATTRAVERSO L’ANALISI DI CASI CRITICI
Coordinato... more Corso di formazione: LA PROGETTAZIONE STRUTTURALE ATTRAVERSO L’ANALISI DI CASI CRITICI Coordinatore: Prof. Ing. Franco Bontempi, Ordinario di Tecnica delle Costruzioni Facoltà di Ingegneria Civile e Industriale della Università degli Studi di Roma La Sapienza franco.bontempi@uniroma1.it Dettagli: Via Eudossiana 18, 00184 Roma - 7 e 8 luglio 2016, totale di 16 ore - quota iscrizione 290 euro. Informazioni e iscrizioni: analisi-strutturale@uniroma1.it
Il presente corso vuole illustrare i concetti, i metodi e gli strumenti della progettazione strutturale e della ottimizzazione strutturale attraverso l’illustrazione di casi concreti e specifici. La significatività dei casi presentati in questo corso, casi che ovviamente non esauriscono la enorme varietà della realtà, è rappresentata dalla loro intrinseca criticità: sono situazioni di progetto in cui si sono avuti forti condizionamenti e precisi vincoli relativamente a prestazioni da ottenere, condizioni ambientali influenti durabilità, limiti dimensionali e complessità geometrica, peso e facilità costruttiva. In tutti questi casi, partendo dai concetti teorici, si sono utilizzati strumenti di calcolo automatico e prove sperimentali per inquadrare, affinare e definire il progetto, con interazioni fra le varie fasi che sono aspetti che il presente corso vuole puntualmente illustrare: proprio la discussione di questi dettagli specifici della progettazione (concezione – modellazione – sperimentazione – realizzazione), costituisce il fulcro del corso.
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an effective design method should consider that the modern constructions are usually complex systems, characterized by strong interactions among the single components
and with the design environment. A modern approach, capable of adequately considering these issues, is the so-called performance-based design (PBD). In order to profitably
apply this design philosophy, an effective framework for the evaluation of the overall quality of the structure is needed; for this purpose, the concept of dependability can be effectively applied. In this context, structural health monitoring (SHM) assumes the essential role to improve the knowledge on the structural system and to allow reliable evaluations of the structural safety in operational conditions. SHM should be
planned at the design phase and should be performed during the entire life-cycle of the structure. In order to deal with the large quantity of data coming from the continuous monitoring various processing techniques exist. In this work different approaches are discussed and in the last part two of them are applied on the same dataset. It is interesting to notice that, in addition to this first level of knowledge, structural health
monitoring allows obtaining a further more general contribution to the design knowledge of the whole sector of structural engineering. Consequently, SHM leads to two levels of design knowledge gain: locally, on the specific structure, and globally, on the general class of similar structures.
an effective design method should consider that the modern constructions are usually complex systems, characterized by strong interactions among the single components
and with the design environment. A modern approach, capable of adequately considering these issues, is the so-called performance-based design (PBD). In order to profitably
apply this design philosophy, an effective framework for the evaluation of the overall quality of the structure is needed; for this purpose, the concept of dependability can be effectively applied. In this context, structural health monitoring (SHM) assumes the essential role to improve the knowledge on the structural system and to allow reliable evaluations of the structural safety in operational conditions. SHM should be
planned at the design phase and should be performed during the entire life-cycle of the structure. In order to deal with the large quantity of data coming from the continuous monitoring various processing techniques exist. In this work different approaches are discussed and in the last part two of them are applied on the same dataset. It is interesting to notice that, in addition to this first level of knowledge, structural health
monitoring allows obtaining a further more general contribution to the design knowledge of the whole sector of structural engineering. Consequently, SHM leads to two levels of design knowledge gain: locally, on the specific structure, and globally, on the general class of similar structures.
Energy Efficient Buildings (EeB)
Factories of the Future (FoF)
LA PROGETTAZIONE STRUTTURALE ATTRAVERSO L’ANALISI DI CASI CRITICI
Coordinatore: Prof. Ing. Franco Bontempi, Ordinario di Tecnica delle Costruzioni
Facoltà di Ingegneria Civile e Industriale della Università degli Studi di Roma La Sapienza franco.bontempi@uniroma1.it
Dettagli: Via Eudossiana 18, 00184 Roma - 7 e 8 luglio 2016, totale di 16 ore - quota iscrizione 290 euro.
Informazioni e iscrizioni: analisi-strutturale@uniroma1.it
Il presente corso vuole illustrare i concetti, i metodi e gli strumenti della progettazione strutturale e della ottimizzazione strutturale attraverso l’illustrazione di casi concreti e specifici.
La significatività dei casi presentati in questo corso, casi che ovviamente non esauriscono la enorme varietà della realtà, è rappresentata dalla loro intrinseca criticità: sono situazioni di progetto in cui si sono avuti forti condizionamenti e precisi vincoli relativamente a prestazioni da ottenere, condizioni ambientali influenti durabilità, limiti dimensionali e complessità geometrica, peso e facilità costruttiva.
In tutti questi casi, partendo dai concetti teorici, si sono utilizzati strumenti di calcolo automatico e prove sperimentali per inquadrare, affinare e definire il progetto, con interazioni fra le varie fasi che sono aspetti che il presente corso vuole puntualmente illustrare: proprio la discussione di questi dettagli specifici della progettazione (concezione – modellazione – sperimentazione – realizzazione), costituisce il fulcro del corso.