Evolutionary numerical model for cultural heritage structures via genetic algorithms: a case study in central Italy

Salachoris, Georgios Panagiotis; Standoli, Gianluca; Betti, Michele; Clementi, Francesco

doi:10.1007/s10518-023-01615-z

Cited by 25 publications

(5 citation statements)

References 63 publications

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“…In general, model representativeness is commonly achieved through accurate calibrations based on experimental measurements. A typical example is defining an objective function weighting spectral differences, which is minimized with iterative numerical techniques 21–24 . A reasonable alternative is to search for a synthetic but representative mechanical description, that is, a lighter (low‐order) model that can still capture the essential dynamical traits of the structural system but trades simulation accuracy for computational efficiency.…”

Section: Introductionmentioning

confidence: 99%

Analytical identification of dynamic structural models: Mass matrix of an isospectral lumped mass model

Sivori,

Lepidi,

Cattari

2024

Earthq Engng Struct Dyn

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Combining the accurate physical description of high‐fidelity mechanical formulations with the practical versatility of low‐order discrete models is a fundamental and open‐ended topic in structural dynamics. Finding a well‐balanced compromise between the opposite requirements of representativeness and synthesis is a delicate and challenging task. The paper systematizes a consistent methodological strategy to identify a physics‐based reduced‐order model (ROM) preserving the physical accuracy of large‐sized models with distributed parameters (REM), without resorting to classical techniques of dimensionality reduction. The leading idea is, first, to select a limited configurational set of representative degrees of freedom contributing significantly to the dynamic response (model reduction) and, second, to address an inverse indeterminate eigenproblem to identify the matrices governing the linear equations of undamped motion (structural identification). The physical representativeness of the identified model is guaranteed by imposing the exact coincidence of a selectable subset of natural frequencies and modes (partial isospectrality). The inverse eigenproblem is solved analytically and parametrically, since its indeterminacy can be circumvented by selecting the lumped mass matrix as the primary unknown and the stiffness matrix as a parameter (or vice versa). Therefore, explicit formulas are provided for the mass matrix of the ROM having the desired low dimension and possessing the selected partial isospectrality with the REM. Minor adjustments are also outlined to remove a posteriori unphysical effects, such as defects in the matrix symmetry, which are intrinsic consequences of the algebraic identification procedure. The direct and inverse eigenproblem solutions are explored through parametric analyses concerning a multistory frame, by adopting a high‐fidelity Finite Element model as REM and an Equivalent Frame model as ROM. Before mass matrix identification, modal analysis results indicate a general tendency of ROM to underestimate natural frequencies, with the underestimation strongly depending on the actual mass distribution of the structure. After the identification of the mass matrix and the elimination of unphysical defects, isospectrality is successfully achieved. Finally, extensions to prototypical highly massive masonry buildings are presented. The qualitative and quantitative discussion of the results under variation of the significant mechanical parameters provides useful insights to recognize the validity limits of the approximations affecting low‐order models with lumped parameters.

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Section: Introductionmentioning

confidence: 99%

Analytical identification of dynamic structural models: Mass matrix of an isospectral lumped mass model

Sivori,

Lepidi,

Cattari

2024

Earthq Engng Struct Dyn

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“…Cracks can also emerge, indicating foundation movement, soil shifting, or excessive loads. Additionally, the deterioration of load-bearing elements, such as concrete degradation or corrosion of steel reinforcement, can compromise the foundation's strength and stability [3]. The accurate identification and assessment of structural damage in building foundations are paramount to ensure timely intervention and mitigate potential risks.…”

Section: Introductionmentioning

confidence: 99%

Identification and Repair of Structural Damage of Building Foundations Based on Genetic Algorithm

Yachun Hu

2024

jes

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The identification and repair of structural damage in building foundations are critical tasks in ensuring the safety and integrity of civil infrastructure. This research paper proposes a method based on genetic algorithms for the identification and repair of structural damage in building foundations. The proposed approach begins with the identification of structural damage by analysing sensor data, including vibration measurements and strain gauges, obtained from the building's foundation. A genetic algorithm is then employed to optimize the identification process by iteratively searching for the most likely damage scenarios based on the collected sensor data. Once the damage is identified, the algorithm proceeds to develop an optimal repair strategy. It considers various parameters, such as available repair materials, budget constraints, and desired structural performance, to generate a repair plan that minimizes cost and maximizes the restoration of structural integrity. The repair plan is optimized using the genetic algorithm to find the best combination of repair techniques and materials. To evaluate the effectiveness of the proposed method, extensive simulations and case studies are conducted on different types of building foundations. The performance of the algorithm is assessed in terms of its accuracy in identifying structural damage and the efficiency of the repair strategy.

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“…In 2016, a series of catastrophic seismic shocks caused victims and considerable damage to the heritage structures in the Central Italy regions [1][2][3][4]. These earthquakes heavily stroked the Norcia, Visso, Arquata del Tronto, Amatrice and Accumoli villages [5,6].…”

Section: Introductionmentioning

confidence: 99%

Different Modeling Approaches Applied to a Resilient Masonry Structure

Schiavoni,

Giordano,

Roscini

et al. 2023

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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In this paper, advanced numerical models are used to study the progressive damage of a historic building, namely the Palazzo of Podestà and the Civic Tower of Accumoli (central Italy). The dynamic behaviour of the structure is analyzed following important seismic events such as those that occurred in 2016-2017. Discontinuous and continuous approaches are used. In the formers, the masonry response is represented both with Discrete Element Method (DEM) and the Non-Smooth Contact Dynamic (NSCD) method; in the latter the masonry nonlinearity is replicated using the Concrete Damage Plasticity (CDP) model. The numerical results showed a good correspondence of all the approaches with the real damage suffered by the structure after the seismic sequence.

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Evolutionary numerical model for cultural heritage structures via genetic algorithms: a case study in central Italy

Cited by 25 publications

References 63 publications

Analytical identification of dynamic structural models: Mass matrix of an isospectral lumped mass model

Analytical identification of dynamic structural models: Mass matrix of an isospectral lumped mass model

Identification and Repair of Structural Damage of Building Foundations Based on Genetic Algorithm

Different Modeling Approaches Applied to a Resilient Masonry Structure

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