A static solver for hybrid fire simulation based on model reduction and dynamic relaxation

Covi, Patrick; Abbiati, Giuseppe; Tondini, N.; Bursi, Oreste S.; Stojadinović, Božidar

doi:10.14264/2ed186c

Cited by 3 publications

(2 citation statements)

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“…These measurements include the displacements of the deck, the piers, and the ground and depend on thermal variations, traffic and wind loads, and possible movements of the foundations. Since the piers are over 65 m-high and the girder cantilevers are 59 m-long, the displacements are mainly due to thermal action [13]. The vertical component of the displacements reaches daily variations of 1 cm and seasonal variations of 2 cm at the top of the piles; daily variations of 2 cm and seasonal variations of 4 cm at the cantilevers' end.…”

Section: Extraction Of Displacement Time Seriesmentioning

confidence: 99%

Uncertainty quantification of satellite InSAR‐monitoring of bridges: a case study

Tonelli,

Valentini,

Rocca

et al. 2023

ce papers

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Traditional structural health monitoring (SHM) systems provide accurate and objective information to assess the condition state of bridges; however, they are expensive and typically installed only on strategic bridges. Innovative technologies offer a potential solution. Interferometric Synthetic Aperture Radar (InSAR) takes multiple satellite radar images of a given area over time and extracts displacement time series of reflective point targets on the ground. The literature on InSAR‐based SHM of bridges lacks systematic studies aiming at quantifying the metrological uncertainty of the displacements measured. Furthermore, the topographic context and the magnitude of displacements of these structures between successive satellite passes significantly impact the uncertainty of results. This paper aims to evaluate the effectiveness of InSAR‐based SHM of bridges by comparing displacement time series obtained from InSAR with those from an on‐site topographic system. Displacements are measured from a prestressed concrete bridge in the Alpine region. Moreover, this study models the deformed shape of the bridge based on satellite and on‐site measurements and compares the results to determine whether bridge distortions can be reconstructed using satellite data alone.

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Section: Extraction Of Displacement Time Seriesmentioning

confidence: 99%

Uncertainty quantification of satellite InSAR‐monitoring of bridges: a case study

Tonelli,

Valentini,

Rocca

et al. 2023

ce papers

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“…In the purely numerical configuration, however, the behaviour of the fire-exposed part must be modelled analytically too, which introduces uncertainty to the results (mainly because of the lack of realistic temperatureand time-dependent calibration data for the constitutive material models), that is, by design of the method eliminated in the hybrid configuration. For this reason, hybrid testing has lately attracted the interest of several researchers in structural fire engineering, leading to numerous conference contributions [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] and several different approaches [32][33][34][35][36][37][38][39][40][41]. However, a detailed and methodical review of existing approaches in [42] shows that these contributions still have, in aggregate, the following drawbacks: (1) they either lack the necessary theoretical rigour or ignore fundamentals of the well-established hybrid testing method as founded in the field of earthquake engineering (refer to [43] for an excellent review of these principles); (2) or they were only verified using over-simplified laboratory experiments, during which only relatively low elevated temperature levels were reached and, therefore, did not cover the entire range of temperaturedependent material behaviours that are relevant in structural fire engineering problems; or (3) they directly attempted to set up a hybrid fire test with full-scale structural members before exploring the fundamentals through meaningful lab-scale proof-of-concept problems (refer to [42] for a more detailed discussion including a historical overview on pioneering research from the 1980s and 1990s).…”

Section: Introductionmentioning

confidence: 99%

Validating hybrid fire testing with full-physical twin experiments

et al. 2022

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Real fire incidents show that structural systems have specific fire-induced redundancies that make them perform better than classical structural fire analysis predicts. Properly validated hybrid fire testing has the potential to tap into such redundancies for designs. In this study, we conceived and implemented a comprehensive and novel physics-based validation strategy for hybrid fire testing. We developed a laboratory-scale thermo-mechanical proof-of-concept problem that is representative for structural systems exposed to compartment fires. We solved the proof-of-concept problem using our novel thermo-mechanical hybrid solution procedure (Schulthess et al. 2020 Comput. Struct. 238 , 106301 ( doi:10.1016/j.compstruc.2020.106301 )) and compared the resulting hybrid model response against the results from a full-physical laboratory set-up of the same proof-of-concept problem, which we call a full-physical twin experiment. Full-physical twin experiments constitute the top layer of a suite of benchmark tests any specific hybrid fire testing procedure must pass to qualify not only as theoretically accurate and correctly functioning but also (and more importantly) as physically sound and able to yield realistic simulation results. This paper delivers such a first-of-its-kind physics-based validation, and in doing so, the first comprehensively validated method for hybrid fire testing—a method that now allows fire test facilities to conduct meaningful full-scale hybrid fire tests of entire structural systems.

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